MASOS: A multi-agent system simulation framework for sustainable supplier evaluation and order allocation

Pezhman Ghadimi, Cathal Heavey

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Purchasing activities consume more than half of manufacturing and trading organizations sales capitals. Effective procurement is tied with efficient and highly accurate collection of data needed for purchasing the right material with the acceptable quality from appropriate suppliers. Supply chain management (SCM) consists of complex networks of distributed actors in which the problem of identifying the appropriate suppliers and allocating optimal order quantities based on the Triple Bottom Line (TBL) attributes is strategically important. However, implementation of an autonomous and automated assessment that can incorporate dynamics and uncertainty of the whole supply chain during the assessment period is not addressed. In the current research paper, a novel framework is designed and proposed to narrow the aforementioned gap. Agent technology has been incorporated in the developed framework to decrease the supplier chain uncertainty by decreasing human interactions and automating the process of supplier evaluation and order allocation.

Original languageEnglish
Title of host publicationProceedings of the 2014 Winter Simulation Conference, WSC 2014
EditorsAndreas Tolk, Levent Yilmaz, Saikou Y. Diallo, Ilya O. Ryzhov
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1132-1143
Number of pages12
ISBN (Electronic)9781479974863
DOIs
Publication statusPublished - 23 Jan 2015
Event2014 Winter Simulation Conference, WSC 2014 - Savannah, United States
Duration: 7 Dec 201410 Dec 2014

Publication series

NameProceedings - Winter Simulation Conference
Volume2015-January
ISSN (Print)0891-7736

Conference

Conference2014 Winter Simulation Conference, WSC 2014
Country/TerritoryUnited States
CitySavannah
Period7/12/1410/12/14

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