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19th EMSS, 2007 |
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19th European Modeling and Simulation Symposium (Simulation in Industry) 4-6 October 2007 Bergeggi (Sv), Italy |
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Session CA-V: M&S in logistics and supply chain management I
SIMULATION-BASED ENVIRONMENT FOR MULTI-ECHELON CYCLIC PLANNING AND OPTIMISATION, Galina Merkuryeva, Yuri Merkuryev, Liana Napalkova
The paper focuses on the development of simulation based environment for multi-echelon cyclic planning and optimisation at the product maturity phase. It is based on integration of analytical and simulation techniques. Analytical techniques are used to obtain initial planning decisions under conditions of stochastic demand and lead time. Simulation techniques extend these conditions to backlogging and capacity constraints. Simulation-based optimization is used to analyse and improve cyclical decisions received from the analytical model. Simulation environment is built in the ProModel simulation software. Automatic generation of simulation model is provided by using the ProModel ActiveX technology and VBA programmino language. An example of multi-echelon cyclic planning and optimisation using this environment is given.
EVALUATION OF ACQUISITION DEPOTS IN TECHNICAL SERVICE LOGISTICS, Tuomas Tolvanen
Functions of depots in technical service operations are identified by modeling service logistics with an advanced vehicle routing algorithm. The functions are compared to generic inventory functions that are concluded to be valid in technical services. The suitability of vehicle routing for modeling technical service logistics is evaluated. Alternative logistics configurations in a case company are defined and compared in terms of total logistics costs.
SINGLE-CARD KANBAN REPLENISHMENT WITH VARYING TRANSPORTERS, S. T. Enns
This paper examines a single-card Kanban system used to replenish inventory for a simple, capacity-constrained workstation with independent, time-varying demand. Decision variables include the replenishment lot size (LS), the number of Kanban cards (KC) and the number of transporters (TR) circulating between a supplier and the processing workstation. The purpose is to examine the constraints that dictate a feasible replenishment system and to identify the interactions relevant to optimizing performance. Performance in this study relates to both the average total inventory (TI) and the service level (SL), as measured by deliveries made from stock. Results show that performance is convex with respect to lot size and Kanban card settings. Lot sizes, the number of Kanban cards and the transporter arrival frequency all interact to determine inventory and delivery service.
SIMULATION AS DECISION SUPPORT SYSTEM FOR QUICK RESPONSE SUPPLY CHAIN, Luca Pierfederici, Davide Modula, Alberto Tremori
In these study it is represented an innovative advanced model to support strategic logistics decisions applied to big retail market. The research demonstrated the improvement potential due to stochastic discrete event simulation to create and evaluate alternatives connected to logistics flows and supply chain layout configuration applied to a real case. It was developed and evaluated an innovative architecture of inter-operative simulators for the fresh fish food logistics able to optimize a multi-region / multichannel scenario characterized by a multitude of constrains and peculiarities depending by processes and market nature. Results show how innovative simulations can be a fundamental support to decision makers to give added value and competitiveness to business strategies.
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