The 28th European Modeling & Simulation Symposium (Simulation in Industry)


September 26 - 28† 2016

The Golden Bay Beach Hotel, Larnaca, Cyprus

The 28thEMSS, 2016

Call For Papers

Simulation Optimization Approaches in industry, aviation, services and transport

at the European Modeling & Simulation Symposium

(EMSS 2016)



Chairs: (a) Idalia Flores (b) Miguel Mķjica Mota

Affiliation: (a) University of Mexico (Mexico)

††††††††††††††††††††††††††† (b) Amsterdam University of Applied Sciences 

Contacts: (a) (b)


Deadlines for submission

Authorís Instruction for paper submission


Track Description

Problems in industries, services, aviation and in general supply chain management problems can be either modelled using classical optimization techniques or approaches based on simulation techniques. The former techniques have the advantage that they perform efficiently when the problems are properly defined, but they present the drawback that are generally based on some fixed parameters. Furthermore sometimes important information is lost during the abstraction process in order to fit the problem in the optimization technique; on the other hand, simulation approaches have the advantage that they possess high description levels but the optimization is generally performed taking samples of the whole possible configurations that the system can have.

In later years scientific community is concerned in developing hybrid approaches that benefit from the advantages of both paradigms in order to give good solutions to important problems in services, production processes or supply chains such as scheduling, routing problems and resource allocations among others.

Some immediate applications are in:

 Aviation Operations

 Automotive Industry

 Production in Manufacturing

 Supply Chain Management

 Hospital Services

 Transportation Services


The objective of this track is to present recent developments or case studies that combine simulation/optimization techniques in order to give solutions to problems in those fields.

For further information please contact Idalia Flores or Miguel Mķjica Mota

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