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

Pezhman Ghadimi; Cathal Heavey

doi:10.1109/WSC.2014.7019971

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

Pezhman Ghadimi
, Cathal Heavey

School of Engineering

University of Limerick

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	Proceedings of the 2014 Winter Simulation Conference, WSC 2014
Editors	Andreas Tolk, Levent Yilmaz, Saikou Y. Diallo, Ilya O. Ryzhov
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1132-1143
Number of pages	12
ISBN (Electronic)	9781479974863
DOIs	https://doi.org/10.1109/WSC.2014.7019971
Publication status	Published - 23 Jan 2015
Event	2014 Winter Simulation Conference, WSC 2014 - Savannah, United States Duration: 7 Dec 2014 → 10 Dec 2014

Publication series

Name	Proceedings - Winter Simulation Conference
Volume	2015-January
ISSN (Print)	0891-7736

Conference

Conference	2014 Winter Simulation Conference, WSC 2014
Country/Territory	United States
City	Savannah
Period	7/12/14 → 10/12/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure
SDG 12 Responsible Consumption and Production

Access to Document

10.1109/WSC.2014.7019971

Cite this

Ghadimi, P., & Heavey, C. (2015). MASOS: A multi-agent system simulation framework for sustainable supplier evaluation and order allocation. In A. Tolk, L. Yilmaz, S. Y. Diallo, & I. O. Ryzhov (Eds.), Proceedings of the 2014 Winter Simulation Conference, WSC 2014 (pp. 1132-1143). Article 7019971 (Proceedings - Winter Simulation Conference; Vol. 2015-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WSC.2014.7019971

Ghadimi, Pezhman ; Heavey, Cathal. / MASOS : A multi-agent system simulation framework for sustainable supplier evaluation and order allocation. Proceedings of the 2014 Winter Simulation Conference, WSC 2014. editor / Andreas Tolk ; Levent Yilmaz ; Saikou Y. Diallo ; Ilya O. Ryzhov. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 1132-1143 (Proceedings - Winter Simulation Conference).

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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",

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doi = "10.1109/WSC.2014.7019971",

language = "English",

series = "Proceedings - Winter Simulation Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Ghadimi, P & Heavey, C 2015, MASOS: A multi-agent system simulation framework for sustainable supplier evaluation and order allocation. in A Tolk, L Yilmaz, SY Diallo & IO Ryzhov (eds), Proceedings of the 2014 Winter Simulation Conference, WSC 2014., 7019971, Proceedings - Winter Simulation Conference, vol. 2015-January, Institute of Electrical and Electronics Engineers Inc., pp. 1132-1143, 2014 Winter Simulation Conference, WSC 2014, Savannah, United States, 7/12/14. https://doi.org/10.1109/WSC.2014.7019971

MASOS: A multi-agent system simulation framework for sustainable supplier evaluation and order allocation. / Ghadimi, Pezhman; Heavey, Cathal.
Proceedings of the 2014 Winter Simulation Conference, WSC 2014. ed. / Andreas Tolk; Levent Yilmaz; Saikou Y. Diallo; Ilya O. Ryzhov. Institute of Electrical and Electronics Engineers Inc., 2015. p. 1132-1143 7019971 (Proceedings - Winter Simulation Conference; Vol. 2015-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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Ghadimi P, Heavey C. MASOS: A multi-agent system simulation framework for sustainable supplier evaluation and order allocation. In Tolk A, Yilmaz L, Diallo SY, Ryzhov IO, editors, Proceedings of the 2014 Winter Simulation Conference, WSC 2014. Institute of Electrical and Electronics Engineers Inc. 2015. p. 1132-1143. 7019971. (Proceedings - Winter Simulation Conference). doi: 10.1109/WSC.2014.7019971

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

Abstract

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UN SDGs

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