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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/16229

Title: A Micro Simulated and Demand Driven Supply Chain Model To Calculate Regional Production and Consumption Matrices
Authors: Abed, Omar
PATIL, Bharat
YASAR, Ansar
WETS, Geert
Issue Date: 2013
Citation: Procedia Computer Science 19, p. 404-411
Series/Report: Procedia Computer Science
Series/Report no.: 19
Abstract: Detailed data on regional goods production and consumption are traditionally the starting point to model freight transport on a nationwide scale. The conversation of those goods afterwards into various vehicle load types and the different logistics operations needed to deliver the requested goods type and quantity, follow from that starting point in the modeling process. In this paper, a demand driven microsimulated supply chain model is presented. The model shall be a first step towards calculating realistic production and consumption matrices. So far, government provided data has been used as the base to model freight transport for Flanders. The methodology used and accuracy level of this data is not clear. Modeling demand and production relations shall constitute a starting point towards an agent based freight model under development. The presented model is a microsimulation model incorporating the main firms(firms) of a traditional supply chain. It is a demand driven model using quantity of goods requested at the consumer side as a starting point. The model distinguishes also between shipping and carrying firms and takes into account raw material suppliers able to supply all or some subcomponents needed by production firms. Economic Order Quantity (EOQ) relations are used with modifications to include transportation and labour costs. The model is based on an optimized universal cost function and different initial conditions can be used to mimic real life firm to firm interactions. A certain good demand scenario is simulated and results are shown.
URI: http://hdl.handle.net/1942/16229
DOI: 10.1016/j.procs.2013.06.055
ISI #: 000361480500047
ISSN: 1877-0509
Category: C1
Type: Proceedings Paper
Validation: ecoom, 2017
vabb, 2015
Appears in Collections: Research publications

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