Preliminary Program-at-a-Glance

updated October 9, 2020

Day 1 - November 23, 2020

09:00 - 10:30 CET (Central European Time)

Plenary Room

Opening Ceremony & Welcome Messages

11:00 - 12:30 CET (Central European Time)

Plenary Room

Plenary Talks

14:00 - 15:30 CET (Central European Time)

Room 1

Explainable Artificial Intelligence in Industry

Room 2

Simulation as decision support tool in cross-cutting industrial sectors

Room 3

Security and Privacy for the Smart Factory

Room 4

Dynamic logistics optimization in the context of prescriptive analytics

16:00 - 17:30 CET (Central European Time)

Room 1

Building and Managing Cyber-Physical Production Systems

Room 2

Smart solutions in the agri-food industry and supply chain

Room 3

Digital Manufacturing: towards Industry 5.0 - The future is already here

Room 4

Special Session: SO4SIMS

Day 2 - November 24, 2020

09:00 - 10:30 CET (Central European Time)

Plenary Room

Plenary Talks

11:00 - 12:30 CET (Central European Time)

Room 1

Productivity Management in Industry 4.0: Concepts and Solutions

Room 2

Additive Manufacturing: technological advances, challenges and impacts

Room 3

Special Session: Security, Privacy and Protection in Industry 4.0

Room 4

Automated Factory and Collaborative Robots in Industry and Logistics

14:00 - 15:30 CET (Central European Time)

Room 1

Virtual/Augmented Reality and Visual Analytics in Industry

Room 2

Production Planning and Control in Industry 4.0: Challenges and Approaches

Room 3

The digitalization of supply chain: challenges and opportunities from a managerial perspective

Room 4

Security, Privacy and Intellectual Property Rights in Industry

16:00 - 17:30 CET (Central European Time)

Room 1

Model-based design, parameter estimation and process optimization in Industry 4.0

Room 2

Maintenance and failure detection: analytics and models

Room 3

Special Session: Dynamic logistics optimization in the context of prescriptive analytics

Room 4

Towards the Industrial Operator 4.0

Day 3 - November 25, 2020

09:00 - 10:30 CET (Central European Time)

Room 1

Integrated logistics planning for efficient smart manufacturing

Room 2

Impact of Industry 4.0 in the Shipbuilding Industry: Towards the Shipyard 4.0

Room 3

Digital Twin-Driven Smart Manufacturing

Room 4

Special Session: Digital image information extraction for material quality control

11:00 - 12:30 CET (Central European Time)

Room 1

New cross-cutting perspectives for the Industry 4.0

Room 2

State of the art and Industry 4.0 readiness of real enterprises: insights and considerations

Room 3

Machine learning in industrial applications

Room 4

Special Session: Integrated logistics planning for efficient smart manufacturing

14:00 - 15:30 CET (Central European Time)

Room 1

Industry 4.0 innovations and inter-disciplinary contaminations between management, quality and engineering

Room 2

Advances in maintenance technologies and approaches: opportunities and challenges

Room 3

Eco-design and sustainability-oriented processes for Factory 4.0

Room 4

Special Session: MSC-LES Projects

16:00 - 17:30 CET (Central European Time)

Plenary Room

Closing Ceremony with Best Paper Awards

Full Program

updated October 9, 2020

Opening Ceremony​

Day 1 - Nov 23, 2020

09:00 - 12:30 CET

Welcome Messages

MS Teams - Plenary Room

Plenary Talks

MS Teams - Plenary Room

Markus Brummayer

Senior Expert
voestalpine Steel Division
Linz, Austria

Smart Steel Production

voestalpine is a technology leader in the development and production of cutting-edge steel products and is a benchmark company for energy efficiency and environmental compatibility. With its top-quality products and system solutions using steel and other metals, it is a leading partner of the automotive and consumer goods industries as well as of the aerospace and oil & gas industries. voestalpine is also the world market leader in complete railway systems, as well as in the production of tool steel and special sections. Headquartered in Linz, voestalpine is represented by 500 Group companies and locations in more than 50 countries on five continents. 

The foundation for voestalpine’s technological leadership is research and development and a network of corporate expertise comprised of numerous affiliations with national and international universities, universities of applied technologies, centers of competence as well as a number of development partnerships with key customers. The new powerful technologies and advanced solutions related to Industry 4.0 and Smart Manufacturing are important key enablers for the Steel Industry. This presentation will focus on smart and sustainable steel production processes and workflows along the entire value chain, addressing both the needs and challenges via review and discussion of relevant examples.

Biographical Sketch

Dr. Markus Brummayer, with an academic education in mechatronics, fluid mechanics and innovation management, started his career in the steel industry more than twenty years ago. At voestalpine Steel Division he has been deeply engaged in the development and optimization of production processes and product quality since 2003. His main R&D&I activities are focused on continuous slab casting and hot rolling. Furthermore, he has gained profound experience in cross-process quality optimization along the entire process chain. Within the voestalpine business unit slab (hot metal production, steelmaking and casting) he also coordinates the R&D digitalization topics. As an inventor, Markus Brummayer has contributed numerous patent applications thereby strengthening voestalpine’s technological leadership. Markus Brummayer is a member of the European Steel Technology Platform (ESTEP) Smart Factory Working Group and the European Sustainable Process Industry through Resource and Energy Efficiency (SPIRE) Digital Working Group. He is Chairman of the Strategic Board of the Center of Excellence for Smart Production FH Upper Austria and a strategic board member of the Pro2Future Research Center. In addition to his employment at voestalpine, Markus Brummayer was CEO of the Austrian Competence Center in Mechatronics (ACCM, now LCM).

Dmitry Ivanov

Professor of Supply Chain and Operations Management
Berlin School of Economics and Law
Berlin, Germany

Industry 4.0 and Supply Chain Networks: Multi-Disciplinary Perspectives

While Industry 4.0 has been trending in practice and research, supply chain engineering and management studies in this area remain nascent. In the first part or our talk, we present the results of a large-scale, cross-disciplinary and global survey on Industry 4.0 topics among researchers in industrial engineering, operations management, operations research, control and data science whose intent is to understand the current state of research in Industry 4.0 in different disciplines and deduce insights and opportunities for future research. In the second part or our talk, we discuss fundamental theoretical constructs and practical applications to engineer and manage supply chain networks at the times of Industry 4.0. In particular, we debate about digital twins, manufacturing platforms, structure dynamics control, intertwined supply networks, supply chain ecosystems, viable and reconfigurable supply chains, resilience, and ripple effects caused by COVID-19 pandemic.

Biographical Sketch

Prof. Dr. Dr. habil. Dmitry Ivanov is professor of Supply Chain and Operations Management at Berlin School of Economics and Law (HWR Berlin) and deputy director and executive board member of Institute for Logistics (IfL) at HWR Berlin. His main research interests and results span the ripple effect control in supply chains, development of supply chain structural dynamics control methods, formulation and solution of scheduling problems in Industry 4.0, and digital supply chain twins. He gained Dr., Dr. Sc., and Dr. habil. degrees and won several research excellence awards. His research record counts around 340 publications, with 92 papers in prestigious academic journals and the leading books “Global Supply Chain and Operations Management”, „Structural Dynamics and Resilience in Supply Chain Risk Management“, “Scheduling in Industry 4.0 and Cloud Manufacturing” and „Handbook of Ripple Effects in the Supply Chain“. He is leading working groups, tracks and sessions on the Digital Supply Chain, Industry 4.0 and Supply Chain Resilience in global research communities. He co-edits International Journal of Integrated Supply Management. He is an associate editor of the International Journal of Production Research and International Journal of Systems Science, and guest editor in many international journals. He is Chairman of IFAC TC 5.2 “Manufacturing Modelling for Management and Control” and has been General Conference Chair of 9th IFAC MIM 2019 conference as well as IPC and advisory board member of over 50 international conferences. He has been General Conference Chair of IFAC MIM 2019 – one of the worldwide largest conferences in manufacturing, industrial engineering, operations and supply chain management (750 participants).

Parallel Sessions

Day 1 - Nov 23, 2020

14:00 - 15:30 CET

Explainable Artificial Intelligence in Industry

MS Teams - Room 1

Introduction by the Session Chair: Florian Sobieczky - Software Competence Center Hagenberg (SCCH), Austria

EXPLAINING LEARNING MODELS IN MANUFACTURING PROCESSES (#36)

Claudia Goldman, Michael Baltaxe, Debejyo Chakraborty, Jorge Arinez

EXPLAINING A RANDOM FOREST WITH THE DIFFERENCE OF TWO ARIMA MODELS (#62)

Anna-Christina Glock

IEC 61499 DEVICE MANAGEMENT MODEL THROUGH THE LENSES OF RMAS (#81)

Andrea Bonci, Sauro Longhi, Massimiliano Pirani

EXPLAINABILITY OF AI-PREDICTIONS BASED ON PSYCHOLOGICAL PROFILING (#123)

Simon Neugebauer, Lukas Rippitsch, Florian Sobieczky

Simulation as decision support tool in cross-cutting industrial sectors

MS Teams - Room 2

Introduction by the Session Chair: Francesco Longo - University of Calabria, Italy

SYSTEM SIMULATION AS DECISION SUPPORT TOOL IN SHIP DESIGN (#91)

Marco Gianni, Vittorio Bucci, Alberto Marinò

A SYSTEMS DYNAMICS APPROACH TO SME DIGITALISATION (#98)

Radhakrishnan Viswanathan, Arnesh Telukdarie

OPEN-SOURCE DISCRETE-EVENT SIMULATION SOFTWARE FOR APPLICATIONS IN PRODUCTION AND LOGISTICS: AN ALTERNATIVE TO COMMERCIAL TOOLS? (#119)

Sebastian Lang, Tobias Reggelin, Marcel Müller, Abdulrahman Nahhas

DEVELOPING A DIGITALIZATION FRAMEWORK TO ASSESS SHIPBUILDING AND REPAIR CONVERGING SUB-TIER SUPPLY CHAINS RISK (#122)

Rafael Diaz, Katherine Smith, Beatriz Acero

Security and Privacy for the Smart Factory

MS Teams - Room 3

Introduction by the Session Co-Chairs: Rudolf Ramler - Software Competence Center Hagenberg (SCCH), Austria; Atif Mashkoor - Software Competence Center Hagenberg (SCCH), Austria; Thomas Schlechter - University of Applied Sciences Upper Austria, Austria

MULTI-MODE SYSTEMS FOR RESILIENT SECURITY IN INDUSTRY 4.0 (#40)

Michael Riegler, Johannes Sametinger

PYBNBOWTIE: PYTHON LIBRARY FOR BOW-TIE ANALYSIS BASED ON BAYESIAN NETWORKS (#46)

Frank Zurheide, Eckehard Hermann, Harald Lampesberger

SMART FACTORY SECURITY: A CASE STUDY ON A MODULAR SMART MANUFACTURING SYSTEM (#82)

Federico Maggi, Marco Balduzzi, Rainer Vosseler, Martin Rösler, Walter Quadrini, Giacomo Tavola, Marcello Pogliani, Davide Quarta, Stefano Zanero

TAXONOMY OF GENERATIVE ADVERSARIAL NETWORKS FOR DIGITAL IMMUNITY OF INDUSTRY 4.0 SYSTEMS (#83)

Vagan Terziyan, Svitlana Gryshko, Mariia Golovianko

BEYOND FEDERATED LEARNING: ON CONFIDENTIALITY-CRITICAL MACHINE LEARNING APPLICATIONS IN INDUSTRY (#89)

Werner Zellinger, Volkmar Wieser, Mohit Kumar, David Brunner, Natalia Shepeleva, Rafa Galvez, Josef Langer, Lukas Fischer, Bernhard Moser

Dynamic logistics optimization in the context of prescriptive analytics

MS Teams - Room 4

Introduction by the Session Co-Chairs: Andreas Beham - University of Applied Sciences Upper Austria, Austria; Viktoria Hauder - University of Applied Sciences Upper Austria, Austria

ROUTE DURATION PREDICTION IN A STOCHASTIC AND DYNAMIC VEHICLE ROUTING PROBLEM WITH SHORT DELIVERY DEADLINES (#49)

Nikolaus Frohner, Matthias Horn, Günther Raidl

DRIVER SHIFT PLANNING FOR AN ONLINE STORE WITH SHORT DELIVERY TIMES (#67)

Matthias Horn, Nikolaus Frohner, Günther R. Raidl

REAL-LIFE SCHEDULING WITH RICH CONSTRAINTS AND DYNAMIC PROPERTIES - AN EXTENDABLE APPROACH (#69)

Michael Bögl, Anna Gattinger, Ionela Knospe, Manuel Schlenkrich, Roman Stainko

DYNAMIC ONLINE OPTIMIZATION: AN OVERVIEW (#120)

Viktoria A. Hauder, Andreas Beham, Stefan Wagner, Karl F. Doerner, Michael Affenzeller

Parallel Sessions

Day 1 - Nov 23, 2020

16:00 - 17:30 CET

Building and Managing Cyber-Physical Production Systems

MS Teams - Room 1

Introduction by the Session Chair: Christian Zehetner - University of Applied Sciences Upper Austria, Austria

A GEMMA-GRAFCET METHODOLOGY TO ENABLE THE DIGITAL TWIN BASED ON REAL-TIME COUPLING (#6)

Giacomo Barbieri, David Gutierrez

TOWARDS MASTERING VARIABILITY IN SOFTWARE-INTENSIVE CYBER-PHYSICAL PRODUCTION SYSTEMS (#11)

Rick Rabiser, Alois Zoitl

MTCONNECT-BASED DECISION SUPPORT SYSTEM FOR LOCAL MACHINE TOOL MONITORING (#13)

Carlos Felipe Erazo Navas, Alejandro Echavarria Yepes, Sepideh Abolghasem, Giacomo Barbieri

DEVELOPING AN OPC UA SERVER FOR CNC MACHINES (#71)

André Martins, João Lucas, Hugo Costelha, Carlos Neves

Smart solutions in the agri-food industry and supply chain

MS Teams - Room 2

Introduction by the Session Co-Chairs: Giovanni Mirabelli - University or Calabria, Italy; Vittorio Solina - University or Calabria, Italy

SCALABLE MODEL FOR INDUSTRIAL COFFEE ROASTING CHAMBER (#21)

Federico Di Palma, Francesca Iacono, Chiara Toffanin, Andrea Zaccardi, Lalo Magni

COVID SUPPLY CHAIN RESILIENCE MODELING FOR THE DAIRY INDUSTRY (#74)

Inderasan Munien, Arnesh Telukdarie

PRIORITISING REQUIREMENTS OF INFORMATIONAL SHORT FOOD SUPPLY CHAIN PLATFORMS USING A FUZZY APPROACH (#103)

Patrick Burgess, Funlade Sunmola

SIMULATION AND TEMPERATURE CONTROL IN CONVECTION DEHYDRATOR FOR LABORATORY (#111)

Honorato Ccalli Pacco

Digital Manufacturing: towards Industry 5.0 - The future is already here

MS Teams - Room 3

Introduction by the Session Co-Chairs: Fabio De Felice - University of Cassino and Southern Lazio, Italy; Antonella Petrillo - University of Napoli “Parthenope”, Italy

AN INDUSTRY 4.0 DEMONSTRATOR FACTORY FOR SMALL SATELLITE SYSTEMS (#24)

Markus Krauss, Florian Leutert, Markus Scholz, Michael Fritscher, Robin Hess, Christian Lilge, Klaus Schilling

INVESTIGATING THE POTENTIAL OF SMART MANUFACTURING TECHNOLOGIES (#66)

Jan Zenisek, Norbert Wild, Josef Wolfartsberger

EVALUATION OF INFORMATION AND COMMUNICATION TECHNOLOGIES TOWARDS INDUSTRY 4.0 (#79)

Horacio René Del Giorgio, Alicia Mon

ARCHITECTURE FOR DATA ACQUISITION IN RESEARCH AND TEACHING LABORATORIES (#100)

Walter Quadrini, Simone Galparoli, Domenico Daniele Nucera, Luca Fumagalli, Elisa Negri

DIGITAL DIVIDE, SKILLS AND PERCEPTIONS ON SMART WORKING IN ITALY: FROM NECESSITY TO OPPORTUNITY (#110)

Antonella Petrillo, Fabio De Felice, Laura Petrillo

Special Session: The SO4SIMS project

MS Teams - Room 4

Introduction by the Session Co-Chair: Francesco Longo - University of Calabria, Italy

The project SO4SIMS (Smart Operators 4.0 based on Simulation for Industry and Manufacturing Systems) aims at moving ahead the state of the art in the area of Smart Operators and their role in manufacturing systems according to the new Industry 4.0 paradigm. The SO4SIMS proposal conceives a holistic methodological and technological framework able to tackle the Smart Operator problem conceptualization and implementation from multiple interconnected perspectives: (i) a dedicated Digital Twin for collecting and analyzing the data needed to investigate the Smart Operator problem; (ii) a set of new models that will consider in a synergic way: the operators’ safety and ergonomic problem, the operators’ ageing problem and the interaction of the operators with the shop floor technologies (where collaborative environments are needed); (iii) the need to develop a synthetic, virtual and simulated environment that works as test bed for the practical implementation of the Smart Operator. Dissemination of projects results and expert talks will be carried out in the session.

Plenary Session

Day 2 - Nov 24, 2020

09:00 - 10:30 CET

Plenary Talks

MS Teams - Plenary Room

Giancarlo Fortino

Full Professor of Computer Engineering
University of Calabria
Rende (CS), Italy

Agents meet the IoT: Towards Cognitive and Interoperable Ecosystems of Networked Smart Objects

The future Internet of Things (IoT) will enable a new and wide range of decentralized systems (e.g. from smart homes to smart cities) where “things”, able to sense/actuate, compute and communicate with other machines and with humans, will play a central role. The growing importance of such novel cyberphysical network and technology demands suitable and effective paradigms able to fulfill the general and specific requirements of IoT systems engineering. In this keynote, we propose the exploitation of the agent-oriented computing paradigm to support IoT systems analysis, design, and implementation. The synergic meeting of Agents with the IoT will make it possible the development of dynamic IoT systems of diverse scales. First, we introduce background and literature about IoT, with a specific focus on IoT systems development along with currently available agent-oriented approaches. Then, we present in detail our agent-oriented approach specifically based on the ACOSO (Agent-based COoperating Smart Objects) Methodology and related middleware, which provides an effective agent programming model and an agent execution heterogeneous platform along with ad-hoc IoT tools for the construction of an IoT system in terms of a Multi-Agent System. Some case studies concerning the development of IoT systems will be briefly described to show the flexibility and effectiveness of the proposed approach. Finally, future challenges will be delineated towards EDGE and Cloud-assisted agent-based approaches for IoT, specifically towards Agent-oriented IoT Data Mining at the EDGE and Industry 4.0.

*ACOSO project site: http://acoso.dimes.unical.it

Biographical Sketch

Giancarlo Fortino (SM’12) is Full Professor of Computer Engineering at the Dept. of Informatics, Modeling, Electronics and Systems (DIMES) of the University of Calabria (Unical), Rende (CS), Italy. He has a Ph. D. degree and Laurea (MSc+BSc) degree in Computer Engineering from Unical. He is High-end Foreign Expert of China (term 2015-2018), Adjunct and Guest Professor at the Wuhan University of Technology (China), High-end Expert of HUST (China), CAS PIFI Visiting Scientist at Shenzhen (2019-2021), and Associated Senior Research Fellow at the Italian National Research Council – ICAR Institute. He has been also Visiting Researcher and Professor at the International Computer Science Institute (Berkeley, USA, 97-99) and at the Queensland University of Technology (Australia, 2009), respectively. He is in the list of Top Italian Scientists (TIS) by VIA-academy and by Guide2Research, with h-index=52 and 10000+ citations according to GS. He is the director of the SPEME (Smart, Pervasive and Mobile Systems Engineering) Lab at DIMES, Unical and co-director of two joint-labs on IoT technologies established with Wuhan University of Technology and Shanghai Maritime University, respectively. His main research interests include Internet of Things computing and technology, agent-based computing, body area networks, human-machine systems, wireless sensor networks, pervasive and cloud computing, multimedia networks, and mobile health systems. He participated to many local, national and international research projects and was the deputy coordinator and scientific & technical project manager of the EU-funded (8Meuro) H2020 INTER-IoT project. He authored about 450 publications in journals, conferences and books. He chaired about 100 Int’l conferences/workshops as co-chair (he is currently the general chair of IEEE International Conference on Human-Machine Systems 2020 in Rome, Apr. 6-8, 2020), organized 60+ special issues in well-known ISI-impacted Int’l Journals, and participated in the TPC of about 500 conferences. He is the founding editor in chief of the IEEE Book Series on “Human-Machine Systems” and of the Springer Book Series on “Internet of Things: Technology, Communications and Computing”, and currently serves (as associate editor) in the editorial board of IEEE Transactions on Affective Computing, IEEE Transactions on Human-Machine Systems, IEEE IoT Journal, IEEE Sensors Journal, IEEE Access, IEEE SMC Magazine, IEEE OJEMBS, IEEE OJCS, Journal of Networks and Computer Applications, Engineering Applications of Artificial Intelligence, Information Fusion, and others. He is the recipient of the 2014 Andrew P. Sage SMC Transactions Paper award. He is co-founder and CEO of SenSysCal S.r.l., a spin-off of Unical, developing innovative IoT-based systems for e-health and domotics. He is the Chair of the IEEE SMC Italian Chapter, Member-at-large of the IEEE SMCS BoG, Member of the IEEE Press Board of Directors, and founding chair of the IEEE SMC Technical Committee on “Interactive and Wearable Computing and Devices”.

Parallel Sessions

Day 2 - Nov 24, 2020

11:00 - 12:30 CET

Productivity Management in Industry 4.0: Concepts and Solutions

MS Teams - Room 1

Introduction by the Session Chair: Tim Jeske - Institute of Applied Industrial Engineering and Ergonomics, Germany

SENSOR SHIRT AS UNIVERSAL PLATFORM FOR REALTIME MONITORING OF POSTURE AND MOVEMENTS FOR OCCUPATIONAL HEALTH AND ERGONOMICS (#29)

Phillip Petz, Florian Eibensteiner, Josef Langer

A HUMAN-CENTERED ASSEMBLY WORKPLACE FOR INDUSTRY: CHALLENGES AND LESSONS LEARNED (#39)

Roman Froschauer, Werner Kurschl, Josef Wolfartsberger, Sebastian Pimminger, Rene Lindorfer, Jakob Blattner

AN ANALYTICAL FRAMEWORK FOR ASSESSING COGNITIVE CAPACITY AND PROCESSING SPEED OF OPERATORS IN INDUSTRY 4.0 (#42)

Daniela Cavallo, Salvatore Digiesi, Francesco Facchini, Giovanni Mummolo

DEVELOPMENT OF DIGITALIZATION IN PRODUCTION INDUSTRY – IMPACT ON PRODUCTIVITY, MANAGEMENT AND HUMAN WORK (#50)

Tim Jeske, Marlene Würfels, Frank Lennings

Additive Manufacturing: technological advances, challenges and impacts

MS Teams - Room 2

Introduction by the Session Chair: Luigino Filice - University of Calabria, Italy

A “LOW-COST” SUBTRACTIVE METHOD FOR FINISHING 3D CONCRETE PRINTED STRUCTURES (#9)

Joseph Canou, Maylis Uhart, Pierre Diaz

GENERATION OF 2.5D DEPOSITION STRATEGIES FOR LMD-BASED ADDITIVE MANUFACTURING (#38)

Diego Montoya-Zapata, Carles Creus, Igor Ortiz, Piera Alvarez, Aitor Moreno, Jorge Posada, Oscar Ruiz-Salguero

FUNCTIONALIZED AM PARTS FOR THE MANUFACTURING OF THE FUTURE (#48)

Giovanna Rotella, Maria Rosaria Saffioti, Michela Sanguedolce, Luigino Filice

THE IMPACT OF ADDITIVE MANUFACTURING ON SUPPLY CHAIN DESIGN: A SIMULATION STUDY (#59)

Marta Rinaldi, Mario Caterino, Pasquale Manco, Marcello Fera, Roberto Macchiaroli

Special Session: Security, Privacy and Protection in Industry 4.0

MS Teams - Room 3

Introduction by the Session Co-Chairs: Thomas Schlechter - University of Applied Sciences Upper Austria, Austria; Atif Mashkoor - Software Competence Center Hagenberg (SCCH), Austria; Rudolf Ramler - Software Competence Center Hagenberg (SCCH), Austria

The increasing connectivity of machinery, robots, sensors and mobile embedded devices in industrial production dramatically increases the vulnerability of the involved systems. Yet ensuring security of complex, interconnected Industry 4.0 and IoT systems operating in a highly dynamic, heterogeneous and distributed industry environment is a challenging endeavor. Moreover, besides ensuring reliability, confidentiality, integrity and availability for services and systems, Industry 4.0 also has to cope with issues related to privacy and sensitivity of data and the protection of intellectual property and competitive knowledge exposed during production. The aim of this special session is to bring together researchers and practitioners from different backgrounds and domains to foster mutual understanding of security challenges and risks, and to discuss how they can be effectively addressed along the entire system lifecycle.

Automated Factory and Collaborative Robots in Industry and Logistics

MS Teams - Room 4

Introduction by the Session Chair: Antonio Padovano - University of Calabria, Italy

ENHANCED AGILITY FOR ASSEMBLY TASKS VIA SELF-SUFFICIENT MOBILE WORKING STATIONS (#12)

Rudolf Pichler, Daniel Strametz, Michael Pichler, Martin Höffernig

BIASED RANDOM-KEY GENETIC ALGORITHM FOR COBOT ASSIGNMENT IN AN ASSEMBLY/DISASSEMBLY JOB SHOP SCHEDULING PROBLEM (#43)

Alexander Kinast, Karl F. Doerner, Stefanie Rinderle-Ma

A BIBLIOMETRIC ANALYSIS ON COLLABORATIVE ROBOTS IN LOGISTICS 4.0 ENVIRONMENTS (#84)

Giorgia Atzeni, Letizia Tebaldi, Giuseppe Vignali, Eleonora Bottani

HUMAN ASPECTS IN COLLABORATIVE ORDER PICKING – LETTING ROBOTIC AGENTS LEARN ABOUT HUMAN DISCOMFORT (#106)

Yaxu Niu, Frederik Schulte, Rudy R. Negenborn

Parallel Sessions

Day 2 - Nov 24, 2020

14:00 - 15:30 CET

Virtual/Augmented Reality and Visual Analytics in Industry

MS Teams - Room 1

Introduction by the Session Chair: Michele Fiorentino - Polytechnic University of Bari, Italy

USING MIXED REALITY IN INDUSTRIAL SETTINGS - ARE WE READY YET? (#22)

Werner Kurschl, Johannes Schönböck, Sebastian Pimminger, Josef Altmann, Mirjam Augstein

CREATING AN OPEN-SOURCE AUGMENTED REALITY REMOTE SUPPORT TOOL FOR INDUSTRY: CHALLENGES AND LEARNINGS (#37)

Andrea Aschauer, Irene Reisner-Kollmann, Josef Wolfartsberger

AN EMPIRICAL STUDY OF TASK-SPECIFIC LIMITATIONS OF THE OVERVIEW+DETAIL TECHNIQUE FOR INTERACTIVE TIME SERIES ANALYSIS (#78)

Judith Friedl, Björn Zimmer, Lisa Perkhofer, Jan Zenisek, Peter Hofer, Hans-Christian Jetter

Production Planning and Control in Industry 4.0: Challenges and Approaches

MS Teams - Room 2

Introduction by the Session Chair: Giuseppina Ambrogio - University of Calabria, Italy

APPROACHES OF PRODUCTION PLANNING AND CONTROL UNDER INDUSTRY 4.0 (#30)

Jan-Phillip Herrmann, Sven Tackenberg, Elio Padoano, Thilo Gamber

SMART PRODUCTION PLANNING AND CONTROL: TECHNOLOGY READINESS ASSESSMENT (#77)

Sameh Saad, Ramin Bahadori, Muhamad Putra, Hamidreza Jafarnejad

CAPACITY PLANNING OF A MIXED-MODEL ASSEMBLY LINE FOR PREFABRICATED HOUSEBUILDING ELEMENTS (#86)

Maria Anna Huka, Wolfgang Grenzfurtner, Barbara Zauner, Manfred Gronalt

THIRTY YEARS OF FLEXIBLE JOB-SHOP SCHEDULING: A BIBLIOMETRIC STUDY (#95)

Pedro Coelho, Ana Pinto, Samuel Moniz, Cristovão Silva

PARALLEL METAHEURISTICS FOR SHOP SCHEDULING: ENABLING INDUSTRY 4.0 (#94)

Pedro Coelho, Cristovão Silva

The digitalization of supply chain: challenges and opportunities from a managerial perspective

MS Teams - Room 3

Introduction by the Session Chair: Eleonora Bottani - University of Parma, Italy; Barbara Bigliardi - University of Parma, Italy

FUTURE SCENARIOS FOR THE DESIGN OF LOGISTICS CHAINS FOR RAW MATERIALS (#20)

Sebastian Trojahn, Alexander Teuber

ANALYSIS OF BLOCKCHAIN PROJECTS IN SUPPLY CHAIN MANAGEMENT (#88)

Fabian Dietrich, Yiwen Ge, Daniel Palm, Louis Louw, Ali Turgut

CONCEPTUAL DESIGN OF AN INTEGRATED SOLUTION FOR URBAN LOGISTICS USING INDUSTRY 4.0 PRINCIPLES (#97)

Bruno Machado, Leonor Teixeira, Ana Luísa Ramos, Carina Pimentel

CONTEXT-AWARE BLOCKCHAIN-BASED SUSTAINABLE SUPPLY CHAIN VISIBILITY MANAGEMENT (#107)

Funlade Sunmola

LISC MODEL: AN INNOVATIVE PARADIGM FOR LIQUID SUPPLY CHAIN (#108)

Mariacarmela Passarelli, Giuseppina Ambrogio, Luigino Filice, Alfio Cariola, Vincenzo Straffalaci

Security, Privacy and Intellectual Property Rights in Industry

MS Teams - Room 4

Introduction by the Session Co-Chairs: Rudolf Ramler - Software Competence Center Hagenberg (SCCH), Austria; Atif Mashkoor - Software Competence Center Hagenberg (SCCH), Austria; Thomas Schlechter - University of Applied Sciences Upper Austria, Austria

TRACE RECONSTRUCTION IN SYSTEM LOGS FOR PROCESSING WITH PROCESS MINING (#47)

Jasper Jürgensen

EVALUATING THE ALIGNMENT OF SEQUENCE DIAGRAMS WITH SYSTEM BEHAVIOR (#65)

Atif Mashkoor, Alexander Egyed

PROTECTING INTELLECTUAL PROPERTY RIGHTS OF INDUSTRIAL SOFTWARE (#104)

Thomas Ziebermayr

ANONYMIZATION AS HOMEOMORPHIC DATA SPACE TRANSFORMATION FOR PRIVACY-PRESERVING DEEP LEARNING (#105)

Mariia Gavriushenko, Anastasiia Girka, Vagan Terziyan, Andrii Gontarenko

Parallel Sessions

Day 2 - Nov 24, 2020

16:00 - 17:30 CET

Model-based design, parameter estimation and process optimization in Industry 4.0

MS Teams - Room 1

Introduction by the Session Co-Chairs: Michael Affenzeller - University of Applied Sciences Upper Austria, Austria

IMPROVEMENT OF MANUFACTURING TECHNOLOGIES THROUGH A MODELLING APPROACH: AN AIR-STEAM STERILIZATION CASE-STUDY (#25)

Francesca Iacono, Jorge Lo Presti, Irene Schimperna, Sara Ferretti, Andrea Mezzadra, Lalo Magni, Chiara Toffanin

EFFICIENCY IMPROVEMENT IN POLYCRYSTALLINE SOLAR PANEL USING THERMAL CONTROL WATER SPRAYING COOLING (#34)

Dominic Ramere, Opeyeolu Timothy Laseinde

GENERATING GROUND BEARING PRESSURE PROFILE UNDER HYDRAULIC CRANE OUTRIGGER MATS USING COMBINED LOADING WITH 16-POINTS, INSTEAD OF TRADITIONAL 4-POINTS (#63)

Ghulam Muhammad Ali, Asif Mansoor, Shuai Liu, Jacek Olearczyk, Ahmed Bouferguene, Mohamed Al-Hussein

PRELIMINARY DESIGN OF AR/SOFC COGENERATION ENERGY SYSTEM USING LIVESTOCK WASTE (#112)

Orlando Corigliano, Giuseppe De Lorenzo, Petronilla Fragiacomo

MICROWAVE PHOTONICS APPROACH AS A NOVEL SMART FABRICATION TECHNIQUE OF A RADIO COMMUNICATION JAMMERS (#114)

Mikhail Belkin, Dmitriy Fofanov

Maintenance and failure detection: analytics and models

MS Teams - Room 2

Introduction by the Session Co-Chairs: Florian Sobieczky - Software Competence Center Hagenberg (SCCH), Austria

DYNAMIC FAILURE RATE MODEL OF AN ELECTRIC MOTOR COMPARING THE MILITARY STANDARD AND SKF METHODS (#60)

Diego D’Urso, Ferdinando Chiacchio, Dario Borrometi, Antonio Costa, Lucio Compagno

DECAY-PARAMETER DIAGNOSIS IN INDUSTRIAL DOMAINS BY ROBUSTNESS THROUGH ISOTONIC REGRESSION (#61)

Salma Mahmoud, Florian Sobieczky, Jorge Martinez-Gil, Patrick Praher, Bernhard Freudenthaler

AN INDUSTRY 4.0 DATASET OF CONTEXTUAL FAULTS IN A SMART FACTORY (#64)

Lukas Kaupp, Heiko Webert, Kawa Nazemi, Bernhard Humm, Stephan Simons

EARLY LIFE RELIABILITY GROWTH TESTING WITH NON-CONSTANT FAILURE INTENSITY (#76)

Nikolaus Haselgruber, Shawn Capser, Giorgio Vignati

DRIFT DETECTION ANALYTICS FOR IOT SENSORS (#109)

Sathyan Munirathinam

Special Session: Dynamic logistics optimization in the context of prescriptive analytics

MS Teams - Room 3

Introduction by the Session Co-Chairs: Andreas Beham - University of Applied Sciences Upper Austria, Austria; Viktoria Hauder - University of Applied Sciences Upper Austria, Austria

Dynamic optimization problems in the field of logistics arise from different industry-relevant areas, as for example in the control of portal cranes, transport vehicles, or production lines. When optimizing such logistics processes in real time, a reaction to dynamic events becomes necessary. In order to offer a real-world suitable planning result, new solution approaches have to be developed, which proactively and reactively handle such events. Observing and reacting to changes, continuously learning the prediction of upcoming events and adapting the search strategies for new solutions by analyzing and evaluating its performance over time are only three examples for developing a holistic, real time optimization approach. Integrating such methods enables decision support in real time, i.e. recommendations for operational planning decisions are suggested (prescribed) by continuously optimizing and analyzing the affected logistics planning problems. Such a holistic view on dynamic optimization, considering a prescriptive analytics approach, has not been extensively researched so far. As a result, we cordially invite researchers and practitioners to propose new approaches and/or their experiences made so far in the context of dynamic optimization and prescriptive analytics. With a special focus on industrial practicability, first proposals for new frameworks considering dynamic optimization and prescriptive analytics, project presentations and talks out of a practitioner’s point of view are also aimed at in particular. The session will include (i) research project and management project presentations; (ii) real-world management (experience) reports.

Towards the Industrial Operator 4.0

MS Teams - Room 4

Introduction by the Session Co-Chairs: David Romero Diaz - Tecnológico de Monterrey, Mexico; Antonio Padovano - University of Calabria

INDUSTRY 4.0 AND HUMAN FACTOR: HOW IS TECHNOLOGY CHANGING THE ROLE OF THE MAINTENANCE OPERATOR? (#52)

Tommaso Gallo, Annalisa Santolamazza

SMART OPERATORS: HOW INDUSTRY 4.0 IS AFFECTING THE WORKER’S PERFORMANCE IN MANUFACTURING CONTEXTS (#116)

Valentina Di Pasquale, Valentina De Simone, Salvatore Miranda, Stefano Riemma

PROCEDURE MODEL FOR THE DEVELOPMENT AND LAUNCH OF INTELLIGENT ASSISTANCE SYSTEMS (#118)

Paul Reichardt, Sebastian Lang, Tobias Reggelin

SUSTAIN THE ROLE OF HUMAN FACTOR IN COMPLEXITY SCENARIOS (#124)

Sotirios Panagou, Fabio Fruggiero, Alfredo Lambiase

Parallel Sessions

Day 3 - Nov 25, 2020

09:00 - 10:30 CET

Integrated logistics planning for efficient smart manufacturing

MS Teams - Room 1

Introduction by the Session Co-Chairs: Viktoria Hauder - University of Applied Sciences Upper Austria, Austria; Andreas Beham - University of Applied Sciences Upper Austria, Austria

THE ASSOCIATION BETWEEN NETWORK CENTRALITY MEASURES AND SUPPLY CHAIN PERFORMANCE: THE CASE OF DISTRIBUTION NETWORKS (#26)

Christian Wallmann, Markus Gerschberger

A CLASSIFICATION-BASED SOLUTION FOR RECOMMENDING PROCESS PARAMETERS OF PRODUCTION PROCESSES WITHOUT QUALITY MEASURES (#75)

Zhengtian Ai, Ingo Heinle, Christian Schelske, Hao Wang, Peter Krause, Thomas Bäck

HEURISTIC APPROACHES FOR SCHEDULING JOBS AND VEHICLES IN A CYCLIC FLEXIBLE MANUFACTURING SYSTEM (#99)

Martin Gutjahr, Hans Kellerer, Sophie Parragh

STACKING AND TRANSPORTING STEEL SLABS USING HIGH-CAPACITY VEHICLES (#101)

Biljana Roljic, Sebastian Raggl, Karl Doerner

Impact of Industry 4.0 in the Shipbuilding Industry: Towards the Shipyard 4.0

MS Teams - Room 2

Introduction by the Session Co-Chairs: Giuseppe Aiello - University of Palermo, Italy

NEW APPROACH TO THE FIRE RISK AND FIREFIGHTING SYSTEM IN SMALL SHIPS, AS CONSEQUENCE OF THE USE OF HYBRID PROPULSION (#4)

Valerio Ruggiero

INDUSTRY 4.0: ADVANCED DIGITAL SOLUTIONS IMPLEMENTED ON A CLOSE POWER LOOP TEST BENCH (#17)

Antonio Giallanza, Giuseppe Aiello, Giuseppe Marannano

A COMPARISON OF DIFFERENT LINEARIZED FORMULATIONS FOR PROGRESSIVE FLOODING SIMULATION IN FULL-SCALE (#32)

Luca Braidotti, Germano Degan, Serena Bertagna, Vittorio Bucci, Alberto Marinò

SRTP ASSESSMENT OF PASSENGER SHIPS: A SIMULATION TOOL (#72)

Serena Bertagna, Luca Braidotti, Ubaldo la Monaca, Alberto Marinò, Cristian Trombini, Vittorio Bucci

Digital Twin-Driven Smart Manufacturing

MS Teams - Room 3

Introduction by the Session Co-Chairs: Fei Tao - Beihang University, China; Qinglin Qi - Beihang University, China

TOWARDS DIGITAL COGNITIVE CLONES FOR THE DECISION-MAKERS: ADVERSARIAL TRAINING EXPERIMENTS (#27)

Mariia Golovianko, Svitlana Gryshko, Vagan Terziyan, Tuure Tuunanen

A MULTI-LAYER ARCHITECTURE FOR NEAR REAL-TIME COLLABORATION DURING DISTRIBUTED MODELING AND SIMULATION OF CYBERPHYSICAL SYSTEMS (#28)

Paul Lonauer, David Holzmann, Christina Leitner, Alexander Probst, Johannes Schönböck, Hans-Christian Jetter

HIGH-QUALITY SHEET METAL PRODUCTION USING A MODEL-BASED ADAPTIVE APPROACH (#35)

Christian Zehetner, Christian Reisinger, Wolfgang Kunze, Franz Hammelmüller, Rafael Eder, Helmut Holl, Hans Irschik

EQUIPMENT DESIGN OPTIMIZATION BASED ON DIGITAL TWIN UNDER THE FRAMEWORK OF ZERO-DEFECT MANUFACTURING (#68)

Dimitris Mourtzis, John Angelopoulos, Nikos Panopoulos

Special Session: Digital image information extraction for material quality control

MS Teams - Room 4

Introduction by the Session Co-Chairs: Dalibor Štys - Institute of Complex Systems, FFPW, University of South Bohemia (Czech Republic); Jaroslaw Jaczak - University of Appied Sciences Upper Austria, Linz Campus, Austria

The digital imaging in industrial and security applications typically follows the path: signal capture → signal downgrading (i.e. videocompression, image compression etc.) → data transmission → automated analysis by known procedures. We propose the alternative path: signal capture → signal calibration and correction → extraction of physical parameters from original datasets (i.e. object detection and identification, quasispectral analysis, mechanical parameters extraction etc.) → transmission or storage of much smaller but still undistorted data → analysis based on physical models and/or data mining, up to the extend allowed by the technology in question. There will be shown examples from light microscopy (LM) and X-ray tomography (XCT) usage in the field of material production. XCT brings advanced possibilities in smart manufacturing process covering combination of metrology and product quality assessment. XCT could be applied for in-situ testing of materials and product under various mechanical, chemical and biological conditions. Using TLGI – XCT, it is possible to acquire three complementary image modalities simultaneously. For example, it provides enhanced contrast between various types of carbon containing polymers (carbon composites, bone fragments, wood samples etc.) Often there is no alternative to light microscopy for its non-invasiveness, ability to image structures of thick diffracting samples and spectral resolution. The light microscopy is limited in resolution but we may always distinguish a centroid of the observed signal. In that we are limited only by the magnification and by the size of the element of the camera detector. The Special Session include methods of superesolution/superlocalisation in quality control of nanoprinted structures, nanofibers and larger biocompatible nanostructured surfaces. This work was partially supported by the ImageHeadstart project ATCZ 215 of the Interreg program.

Parallel Sessions

Day 3 - Nov 25, 2020

11:00 - 12:30 CET

New cross-cutting perspectives for the Industry 4.0

MS Teams - Room 1

Introduction by the Session Co-Chairs: Cecilia Silvestri - University of “Tuscia”, Italy; Antonio Forcina - University of Napoli “Parthenope”, Italy; Barbara Aquilani - University of “Tuscia”, Italy; Michela Piccarozzi - University of “Tuscia”, Italy; Luca Silvestri - University of Nicolò Cusano, Italy

EXTENDING THE SCOPE OF REFERENCE MODELS FOR SMART FACTORIES (#18)

Nuno Soares

CFD MODELING IN INDUSTRY 4.0: NEW PERSPECTIVES FOR SMART FACTORIES (#51)

Luca Silvestri

THE LEAN PRODUCTION AND IDUSTRY 4.0: STRATEGY/MANAGEMENT OR TECHNICAL/IMPLEMENTATIO? AN SYSTEMATIC LITERATURE REVIEW (#54)

Chiara Cagnetti, Tommaso Gallo, Cecilia Silvestri, Michela Piccarozzi, Alessandro Ruggieri

THE ROLE OF INDUSTRY 4.0 ENABLING TECHNOLOGIES FOR SAFETY MANAGEMENT: A SYSTEMATIC LITERATURE REVIEW (#58)

Antonio Forcina, Domenico Falcone

State of the art and Industry 4.0 readiness of real enterprises: insights and considerations

MS Teams - Room 2

Introduction by the Session Co-Chairs: Stefano Saetta - University of Perugia, Italy; Valentina Caldarelli - University of Perugia, Italy

FIRST RESULTS OF A SURVEY ON MANUFACTURING OF THE FUTURE (#23)

Christian Fries, Manuel Fechter, Gábor Nick, Ádám Szaller, Thomas Bauernhansl

INDUSTRY 4.0 TOOLS IN INNOVATIVE EUROPEAN FIRMS: EXPLORING THEIR ADOPTION AND COMMUNICATION FEATURES THROUGH CONTENT ANALYSIS (#55)

Michela Piccarozzi, Cecilia Silvestri, Barbara Aquilani, Chiara Cagnetti

MANUFACTURING ENTERPRISE CLUSTERING AND CLASSIFICATION CONCERNING RESHORING INCENTIVES IN THE CONTEXT OF INDUSTRY 4.0 (#85)

Petra Unterberger, Julian M. Müller

A SURVEY STUDY ON INDUSTRY 4.0 READINESS LEVEL OF ITALIAN SMALL AND MEDIUM ENTERPRISES (#90)

Alessia Maria Rosaria Tortora, Maria Alfano, Valentina Di Pasquale, Raffaele Iannone, Cesare Pianese

Machine learning in industrial applications

MS Teams - Room 3

Introduction by the Session Co-Chairs: Florian Sobieczky - Software Competence Center Hagenberg (SCCH), Austria

MACHINE LEARNING AND STATISTICS: A STUDY FOR ASSESSING INNOVATIVE DEMAND FORECASTING MODELS (#10)

Nikolas Ulrich Moroff, Ersin Kurt, Josef Kamphues

IMPLICATIONS OF EMBEDDED ARTIFICIAL INTELLIGENCE - MACHINE LEARNING ON SAFETY OF MACHINERY (#44)

Sana Anastasi, Marianna Madonna, Luigi Monica

LARGE SCALE PREDICTABILITY ANALYSIS OF PROCESS VARIABLES FROM INJECTION MOULDING MACHINES (#70)

Shailesh Tripathi, Christian Mittermayr, David Muhr, Herbert Jodlbauer

PROTOTYPING MACHINE-LEARNING-SUPPORTED LEAD TIME PREDICTION USING AUTOML (#80)

Janek Bender, Jivka Ovtcharova

AN ADAPTIVE MACHINE LEARNING METHODOLOGY TO DETERMINE MANUFACTURING PROCESS PARAMETERS FOR EACH PART (#92)

David Muhr, Herbert Jodlbauer, Shailesh Tripathi

Special Session: Integrated logistics planning for efficient smart manufacturing

MS Teams - Room 4

Introduction by the Session Co-Chairs: Viktoria Hauder - University of Applied Sciences Upper Austria, Austria; Andreas Beham - University of Applied Sciences Upper Austria, Austria

From a logistics management perspective, integrated planning is one of the key factors for success. Especially in the current era of smart manufacturing, an increasing digitalization and therefore integration of different sub areas is indispensable to be able to utilize synergy effects. Exchanging information and decisions, i.e. coordinating, integrating, and analyzing different systems and stakeholders within an organization and along the whole supply chain is necessary to manage all logistics processes in a smart and efficient way. Nevertheless, the topic of integrated planning and analytics, especially in the research field of operations research but also in the broader sense of research on logistics management, has not been investigated as extensively as single logistics planning problems, although offering a numerous amount of advantages in contrary to its isolated and sequential counterpart. Therefore, we cordially invite researchers and logistics managers to propose their ideas, solution approaches, and/or managerial experiences concerning integrated logistics planning along the supply chain and thus, supporting efficient smart manufacturing in the widest sense. This session aims at bringing together researchers and practitioners both from a quantitative and qualitative point of view. By mutually giving insights into their innovative work and their perspective on integrated planning and smart manufacturing, lively and prosperous discussions on the current state of the art and a possible future integration of different logistics planning approaches in the context of smart manufacturing should be encouraged. Especially focusing on industrial implementability, proposals for new frameworks or concepts considering integrated planning, research project presentations and talks out of a practitioner’s point of view are also aimed at in particular. The session will include: (i) Research project and management project presentations; (ii) Real-world management (experience) reports.

Parallel Sessions

Day 3 - Nov 25, 2020

14:00 - 15:30 CET

Industry 4.0 innovations and inter-disciplinary contaminations between management, quality and engineering

MS Teams - Room 1

Introduction by the Session Co-Chairs: Cecilia Silvestri - University of “Tuscia”, Italy; Antonio Forcina - University of Napoli “Parthenope”, Italy; Barbara Aquilani - University of “Tuscia”, Italy; Michela Piccarozzi - University of “Tuscia”, Italy; Luca Silvestri - University of Nicolò Cusano, Italy

LIFE CYCLE PHASES AND DESIGN MORPHOLOGY FOR THE IMPLEMENTATION OF A COOPERATIVE INVENTORY POOLING-SYSTEM (#8)

Yannic Hafner, Thomas Urban, Johannes Fottner

INDUSTRY 4.0 TOOLS IN LEAN PRODUCTION: A SYSTEMATIC LITERATURE REVIEW (#53)

Tommaso Gallo, Chiara Cagnetti, Cecilia Silvestri, Alessandro Ruggieri

BUSINESS PROCESS (4IR) CENTRIC OPTIMIZATION MODELLING (#73)

Mageshnee Munsamy, Arnesh Telukdarie

DAQL 2.0: MEASURE DATA QUALITY BASED ON ENTITY MODELS (#93)

Christian Lettner, Reinhard Stumptner, Werner Fragner, Franz Rauchenzauner

Advances in maintenance technologies and approaches: opportunities and challenges

MS Teams - Room 2

Introduction by the Session Chair: Antonio Padovano, University of Calabria, Italy

DYNAMIC MAINTENANCE MANAGEMENT TO IMPROVE MAINTENANCE PRACTICES IN THE AUTOMOTIVE SECTOR (#33)

Dominic Ramere, Timothy Laseinde

IMPLEMENTATION OF INDUSTRY 4.0 TECHNOLOGY: NEW OPPORTUNITIES AND CHALLENGES FOR MAINTENANCE STRATEGY (#56)

Gianpaolo Di Bona, Vittorio Cesarotti, Gabriella Arcese, Tommaso Gallo

ENABLING TECHNOLOGY FOR MAINTENANCE IN A SMART FACTORY: A LITERATURE REVIEW (#57)

Antonio Forcina, Vito Introna, Alessandro Silvestri

RECENT DEVELOPMENTS TOWARDS INDUSTRY 4.0 ORIENTED PREDICTIVE MAINTENANCE IN INDUCTION MOTORS (#113)

Maria Drakaki, Yannis Karnavas, Panagiotis Tzionas, Ioannis Chasiotis

Eco-design and sustainability-oriented processes for Factory 4.0

MS Teams - Room 3

Introduction by the Session Chair: Giovanni Berselli, University of Genoa, Italy

WASTE REDUCTION IN PRINTING PROCESS BY IMPLEMENTING A VIDEO INSPECTION SYSTEM AS A HUMAN MACHINE INTERFACE (#14)

Carlos Alberto Perez Juarez, Sonia Karina Perez Juarez, Francisca Irene Soler Anguiano, Adrielly Nahomee Ramos Alvarez

REACHING SUSTAINABILITY THROUGH A SMART WATER CRISIS-PROOF INDUSTRY (#15)

Adrielly Nahomeé Ramos Alvarez, Gloriveth de Fátima Molina Soler, Ámbar Molina Soler, Idalia Flores de la Mota, Francisca Irene Soler Anguiano

A MODEL FOR THE ECONOMIC ASSESSMENT OF DISASSEMBLY-LINE INTEGRATION IN TRADITIONAL MANUFACTURING PROCESSES (#41)

Marco Sergio, Chiara Franciosi, Raffaele Iannone

OPTIMIZATION OF THE USE OF BIOMASS RESIDUES IN THE POPLAR PLYWOOD SECTOR (#87)

Ivan Ferretti

INTEGRATED PRODUCTION-DISTRIBUTION SCHEDULING WITH ENERGY CONSIDERATIONS FOR EFFICIENT FOOD SUPPLY CHAINS (#96)

Vittorio Solina, Giovanni Mirabelli

Special Session: Industry 4.0 and smart manufacturing application prototypes

MS Teams - Room 4

Introduction by the Session Chair: Francesco Longo - University of Calabria, Italy

The session will include: (i) Research project and management project presentations; (ii) Real-world management (experience) reports.

Closing Ceremony

Day 3 - Nov 25, 2020

16:00 - 17:30 CET

ISM 2020 Award Ceremony & ISM 2021 Presentation

MS Teams - Plenary Room

Introduction by the Session Chair: Francesco Longo - University of Calabria, Italy

ISM 2020 Awards Ceremony
  • Best Paper Award
  • Industrial Impact Award
  • Best Service Innovation Paper Award

ISM 2021 Presentation: Michael Affenzeller, ISM 2020 General Co-Chair and Scientific Head of Softwarepark Hagenberg, University of Applied Sciences Upper Austria, Austria

Regular & Invited Sessions

Regular sessions cover the topics of the conference and mainly group the papers that fall within a specific research subject and submitted to the regular program. 

Invited Sessions consist of papers collected within the scope of an Open Track proposed by one or more organizers. Papers are mainly based on personal invitation by the Open Track organizer(s) but may also include papers submitted to the regular program.

Regular and Invited Sessions will last about 1 hour and 30 minutes and may include between 4 and 5 papers. Contributions can be either regular papers or short papers (min 3 pages length) and they will appear in the conference proceedings.

Reviewing Process

Each paper submitted to the conference will be individually peer-reviewed taking into consideration scientific quality, originality and relevance. At the discretion of the IPC and considering the reviewers’ comments, individual papers may be accepted for inclusion in the conference proceedings. The revised paper will then undergo a second round of reviews to check whether the authors have carefully addressed the reviewers’ comments and the paper is fully acceptable for publication. At the discretion of the program committee, individual papers may be removed from an invited session and placed in the regular program, as well as appropriate contributed papers may be moved to an invited session.

Presentation Formats and Speakers' Instructions

  • Each session lasts 1.5 hours, and may includes from 4 to 5 papers. Depending on the number of the papers in the session, you’ll have about 12-15 minutes for your presentation, plus some time at the end for the Q&A. The chair/co-chair of your session is responsible for keeping the time, but we recommend you to adhere with the allotted time.
  • We recommend you to be in your session’s room at least 10 minutes before the scheduled starting time, in order to upload your presentation on the laptop. As a general rule, speakers will not be allowed to use their own laptops, tablets or other devices to give their presentations, unless previously communicated to the conference organization team.
  • When you enter the session room, introduce yourself to the chair/co-chair, so they can take note of your presence.
  • Provide your presentation in either PowerPoint or PDF format. We suggest you to always bring a PDF copy of your presentation in order to minimize any format issue.

Special Sessions

Special sessions offer a 90-minute venue for the presentation of topics of special academic, social or industrial interest, such as emerging research areas or most recent trends in manufacturing engineering. A Special Session can be also devised to include project presentations, panel discussions or non-technical talks on topics such as research funding, entrepreneurship, or technology transfer, and can receive a wide interest across different themes of the conference. As such, special sessions do not include presentation of scientific papers submitted to the conference and the session agenda will be defined by the Special Session Chair. All scheduling of special sessions is completed by the conference organisation committee. Requests may be submitted to the committee for a special accommodation but cannot be guaranteed, as the committee decisions are made with the full scope of the conference in mind.

List of ISM 2020 Special Sessions

Co-Chairs: (a)Christian Zehetner, (b)Thomas Gross
Affiliation: University of Applied Sciences Upper Austria / Linz Center of Mechatronics GmbH (Austria)
Email: (a)christian.zehetner@fh-wels.at, (b)thomas.gross@lcm.at
Track Description: In order to satisfy the high demands on modern products, new strategies for the optimization of industrial manufacturing processes are necessary. In this special session, two research projects and their industrial application are presented. Both examples concern industrial processes optimized with the help of physics and data-based models. The first example is an automatic panel bender. Customer specific production of sheet metal parts with lot size one has been realized by an adaptive manufacturing concept based on physical models. The complete process is controlled by a virtual prototype. The essential physical effects are represented by a model-based approach, e.g. by 2D and 3D Finite Element models or multibody dynamics models. With an advanced and sub-structuring strategy, a real-time adaptive manufacturing process has been realized. This work has been supported by the COMET-K2 center of the Linz Center of Mechatronics. The successful implementation in the commercial product has been realized by the industrial partner. The second example is about energy efficient milling for cement manufacturing. In the framework of the MIDIH project under Horizon 2020, FIWARE based IoT solutions were implemented to monitor the production process in a pilot cement plant. Relying on the recorded process data, physics based and data driven methods were applied to maximize throughput, optimize quality and minimize energy consumption.
Co-Chairs: (a)Thomas Schlechter, (b)Atif Mashkoor, (c)Rudolf Ramler
Affiliation: (a)School of Engineering, University of Applied Sciences Upper Austria (Austria), (b)(c)Software Competence Center Hagenberg (Austria)
Email: (a)thomas.schlechter@fh-wels.at, (b)atif.mashkoor@scch.at, (c)rudolf.ramler@scch.at
Track Description: The increasing connectivity of machinery, robots, sensors and mobile embedded devices in industrial production dramatically increases the vulnerability of the involved systems. Yet ensuring security of complex, interconnected Industry 4.0 and IoT systems operating in a highly dynamic, heterogeneous and distributed industry environment is a challenging endeavor. Moreover, besides ensuring reliability, confidentiality, integrity and availability for services and systems, Industry 4.0 also has to cope with issues related to privacy and sensitivity of data and the protection of intellectual property and competitive knowledge exposed during production. The aim of this special session is to bring together researchers and practitioners from different backgrounds and domains to foster mutual understanding of security challenges and risks, and to discuss how they can be effectively addressed along the entire system lifecycle.
Co-Chairs: (a)Andreas Beham, (b)Viktoria A. Hauder
Affiliation: (a)(b)Josef Ressel Center for Adaptive Optimization in Dynamic Environments, School of Informatics, Communications and Media, University of Applied Sciences Upper Austria, Hagenberg (Austria)
Email: (a)andreas.beham@fh-hagenberg.at, (b)viktoria.hauder@fh-hagenberg.at
Track Description: Dynamic optimization problems in the field of logistics arise from different industry-relevant areas, as for example in the control of portal cranes, transport vehicles, or production lines. When optimizing such logistics processes in real time, a reaction to dynamic events becomes necessary. In order to offer a real-world suitable planning result, new solution approaches have to be developed, which proactively and reactively handle such events. Observing and reacting to changes, continuously learning the prediction of upcoming events and adapting the search strategies for new solutions by analyzing and evaluating its performance over time are only three examples for developing a holistic, real time optimization approach. Integrating such methods enables decision support in real time, i.e. recommendations for operational planning decisions are suggested (prescribed) by continuously optimizing and analyzing the affected logistics planning problems. Such a holistic view on dynamic optimization, considering a prescriptive analytics approach, has not been extensively researched so far. As a result, we cordially invite researchers and practitioners to propose new approaches and/or their experiences made so far in the context of dynamic optimization and prescriptive analytics. With a special focus on industrial practicability, first proposals for new frameworks considering dynamic optimization and prescriptive analytics, project presentations and talks out of a practitioner’s point of view are also aimed at in particular. The session will include:
  • Research project and management project presentations;
  • Real-world management (experience) reports.
Co-Chairs: (a)Viktoria A. Hauder, (b)Andreas Beham
Affiliation: (a)(b)Heuristics and Evolutionary Algorithms Laboratory (HEAL), School of Informatics, Communications and Media, University of Applied Sciences Upper Austria, Hagenberg (Austria)
Email: (a)viktoria.hauder@fh-hagenberg.at, (b)andreas.beham@fh-hagenberg.at
Track Description: From a logistics management perspective, integrated planning is one of the key factors for success. Especially in the current era of smart manufacturing, an increasing digitalization and therefore integration of different sub areas is indispensable to be able to utilize synergy effects. Exchanging information and decisions, i.e. coordinating, integrating, and analyzing different systems and stakeholders within an organization and along the whole supply chain is necessary to manage all logistics processes in a smart and efficient way. Nevertheless, the topic of integrated planning and analytics, especially in the research field of operations research but also in the broader sense of research on logistics management, has not been investigated as extensively as single logistics planning problems, although offering a numerous amount of advantages in contrary to its isolated and sequential counterpart. Therefore, we cordially invite researchers and logistics managers to propose their ideas, solution approaches, and/or managerial experiences concerning integrated logistics planning along the supply chain and thus, supporting efficient smart manufacturing in the widest sense. This session aims at bringing together researchers and practitioners both from a quantitative and qualitative point of view. By mutually giving insights into their innovative work and their perspective on integrated planning and smart manufacturing, lively and prosperous discussions on the current state of the art and a possible future integration of different logistics planning approaches in the context of smart manufacturing should be encouraged. Especially focusing on industrial implementability, proposals for new frameworks or concepts considering integrated planning, research project presentations and talks out of a practitioner’s point of view are also aimed at in particular. The session will include:
  • Research project and management project presentations;
  • Real-world management (experience) reports.
Co-Chairs: (a)Dalibor Štys, (b)Jaroslaw Jaczak
Affiliation: (a)Institute of Complex Systems, FFPW, University of South Bohemia (Czech Republic), (b)University of Appied Sciences Upper Austria, Linz Campus (Austria)
Email: (a)stys@jcu.cz
Track Description: The digital imaging in industrial and security applications typically follows the path: signal capture → signal downgrading (i.e. videocompression, image compression etc.) → data transmission → automated analysis by known procedures. We propose the alternative path: signal capture → signal calibration and correction → extraction of physical parameters from original datasets (i.e. object detection and identification, quasispectral analysis, mechanical parameters extraction etc.) → transmission or storage of much smaller but still undistorted data → analysis based on physical models and/or data mining, up to the extend allowed by the technology in question. There will be shown examples from light microscopy (LM) and X-ray tomography (XCT) usage in the field of material production. XCT brings advanced possibilities in smart manufacturing process covering combination of metrology and product quality assessment. XCT could be applied for in-situ testing of materials and product under various mechanical, chemical and biological conditions. Using TLGI – XCT, it is possible to acquire three complementary image modalities simultaneously. For example, it provides enhanced contrast between various types of carbon containing polymers (carbon composites, bone fragments, wood samples etc.) Often there is no alternative to light microscopy for its non-invasiveness, ability to image structures of thick diffracting samples and spectral resolution. The light microscopy is limited in resolution but we may always distinguish a centroid of the observed signal. In that we are limited only by the magnification and by the size of the element of the camera detector. The Special Session include methods of superesolution/superlocalisation in quality control of nanoprinted structures, nanofibers and larger biocompatible nanostructured surfaces. This work was partially supported by the ImageHeadstart project ATCZ 215 of the Interreg program.

Chairs and Speakers

Special session chairs or speakers are not required to submit a paperThe special session chair is the individual who submits the proposal to the conference committee, acts as the leader and coordinator for the session development, defines the agenda of the session, is in charge of promoting the session and ensures the successful and timely execution of the session. 

Presentation Formats and Speakers' Instructions

  • Each session lasts 1.5 hours in total. Please ask the chair/co-chair of your special session for preliminary information about the session agenda and the time at your disposal for the presentation.
  • We recommend the speakers to be in the session’s room at least 10 minutes before the scheduled starting time, in order to upload the presentation on the conference laptop. As a general rule, speakers will not be allowed to use their own laptops, tablets or other devices to give their presentations, unless previously communicated to the conference organisation team.
  • If you are a speaker, when you enter the session room, introduce yourself to the chair/co-chair, so they can take note of your presence.
  • Provide your presentation in either PowerPoint or PDF format. We suggest you to always bring a PDF copy of your presentation in order to minimize any format issue.

Submit a Special Session Proposal

Are you willing to organize a special session at ISM focusing on a specific subject? Fill the form and send it to f.longo@unical.it and antonio.padovano@unical.it.