@inproceedings{92b860c25e504de0bcb70b75c452daeb,
title = "MASOS: A multi-agent system simulation framework for sustainable supplier evaluation and order allocation",
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.",
author = "Pezhman Ghadimi and Cathal Heavey",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 Winter Simulation Conference, WSC 2014 ; Conference date: 07-12-2014 Through 10-12-2014",
year = "2015",
month = jan,
day = "23",
doi = "10.1109/WSC.2014.7019971",
language = "English",
series = "Proceedings - Winter Simulation Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1132--1143",
editor = "Andreas Tolk and Levent Yilmaz and Diallo, {Saikou Y.} and Ryzhov, {Ilya O.}",
booktitle = "Proceedings of the 2014 Winter Simulation Conference, WSC 2014",
}