Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/16922
Full metadata record
DC FieldValueLanguage
dc.contributor.authorABED, Omar-
dc.contributor.authorBELLEMANS, Tom-
dc.contributor.authorJANSSENS, Gerrit K.-
dc.contributor.authorYASAR, Ansar-
dc.contributor.authorJANSSENS, Davy-
dc.contributor.authorWETS, Geert-
dc.date.accessioned2014-06-20T10:47:33Z-
dc.date.available2014-06-20T10:47:33Z-
dc.date.issued2014-
dc.identifier.citationJournal of Ubiquitous Systems and Pervasive Networks, 5 (2), p. 16-20-
dc.identifier.issn1923-7324-
dc.identifier.urihttp://hdl.handle.net/1942/16922-
dc.description.abstractThe various operations of production, distribution and consumption of goods make up supply chain networks. The usual pre requisite to model freight flows on between geographical zones, is an understanding of intra zonal production and consumption relations. This is in essence an aggregation of all individual firm to firm interactions taking place in form of production and consumption of goods, as well as transportation firms involved in the goods exchange process. In this paper, a demand driven micro-simulated supply chain model is presented. The presented model is a microsimulation model modeling the main firm types present in a traditional supply chain. It is a demand driven model using quantity of goods requested at the consumer side as a starting point. The different interacting firms use a modified Economic Order Quantity (EOQ) model as the basis of the simulation process. The cost function used includes also transportation and labor costs. The model simulates also shipping and carrying firms and takes into account raw material suppliers able to supply all or some subcomponents needed by production firms. Different initial conditions can be used to mimic real life firm to firm interactions. Firm level and zone level scenarios are simulated and results are shown.-
dc.language.isoen-
dc.rights© 2014 International Association for Sharing Knowledge and Sustainability.-
dc.subject.othersupply chain microsimulation; production-consumption tables; optimized location choice-
dc.titleA Micro Simulated and Demand Driven Supply Chain Model To Calculate Regional Production and Consumption Matrices-
dc.typeJournal Contribution-
dc.identifier.epage20-
dc.identifier.issue2-
dc.identifier.spage16-
dc.identifier.volume5-
local.bibliographicCitation.jcatA1-
local.type.refereedRefereed-
local.type.specifiedArticle-
local.identifier.vabbc:vabb:378506-
dc.identifier.doi10.5383/JUSPN.05.02.003-
item.fulltextWith Fulltext-
item.contributorABED, Omar-
item.contributorBELLEMANS, Tom-
item.contributorJANSSENS, Gerrit K.-
item.contributorYASAR, Ansar-
item.contributorJANSSENS, Davy-
item.contributorWETS, Geert-
item.accessRightsRestricted Access-
item.fullcitationABED, Omar; BELLEMANS, Tom; JANSSENS, Gerrit K.; YASAR, Ansar; JANSSENS, Davy & WETS, Geert (2014) A Micro Simulated and Demand Driven Supply Chain Model To Calculate Regional Production and Consumption Matrices. In: Journal of Ubiquitous Systems and Pervasive Networks, 5 (2), p. 16-20.-
item.validationvabb 2016-
crisitem.journal.issn1923-7324-
Appears in Collections:Research publications
Files in This Item:
File Description SizeFormat 
JUSPN20140502016020.pdf
  Restricted Access
818.36 kBAdobe PDFView/Open    Request a copy
Show simple item record

Page view(s)

80
checked on Jul 15, 2022

Download(s)

50
checked on Jul 15, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.