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- W2565001702 abstract "Many approaches have been developed which support the construction of detailedsupply chain models useful for analysis and simulation. However, most of theseapproaches lack the ability to model the supply chain in a single model, and usuallyproduce solutions that lead to conflicting strategies between the companies.Simulation using a discrete-event simulation (DES) is an effective tool for thedynamically changing supply chain variables, thus allowing the system to bemodelled more realistically. Considering the complexities of the supply chain systemand the interrelations between its various systems, the task of developing such amodel is challenging. The aim of this thesis is to develop a simulation model of a fastmoving consumer goods (FMCG) supply chain with a DES tool. This model would beutilised as a decision-support system (DSS) for the investigation of the effectivenessof several inventory policies towards effective coordination and control of production inventorysystem, in various situations.This thesis discusses fundamental issues in the development of a simulation modelfor a supply chain using the DES tool, ARENA. A modelling procedure for thedevelopment of a supply chain simulation model is presented. The overall structure ofthe model is constructed by incorporating the well documented concept of modellingmaterials flowing downstream with an approach of modelling orders flowing upstream(modelling of feedback information). The model has an easily adaptable structurewhere rules (inventory policies) and model variables can be modified. The flexibility inthe model's structure allows devising appropriate experimental designs, for severaltests to be performed to imitate some realistic situations or scenarios (including thepresence of disturbances). A new control theory oriented inventory policy, called thepseudo PID, is proposed. Detailed evaluations of five inventory policies for aproduction-inventory control under dynamic and stochastic conditions is presented.The findings demonstrate the ability of the approach to provide a wealth of potentialsolutions to the decision-maker, and confirm the qualitative behaviour of a supplychain in response to the different policies." @default.
- W2565001702 created "2017-01-06" @default.
- W2565001702 creator A5030016107 @default.
- W2565001702 date "2003-01-01" @default.
- W2565001702 modified "2023-09-22" @default.
- W2565001702 title "Modelling, simulation, and analysis of supply chain systems using discrete-event simulation." @default.
- W2565001702 hasPublicationYear "2003" @default.
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