A multi-agent system model for supply chains with lateral preventive transshipments: Application in a multi-national automotive supply chain


AVCI M. G., SELİM H.

COMPUTERS IN INDUSTRY, vol.82, pp.28-39, 2016 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 82
  • Publication Date: 2016
  • Doi Number: 10.1016/j.compind.2016.05.005
  • Journal Name: COMPUTERS IN INDUSTRY
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.28-39
  • Keywords: Supply chain uncertainty, Multi-agent system modeling, Lateral transshipments, Multi-location inventory systems, OPTIMIZATION APPROACH, INVENTORY SYSTEMS, MANAGEMENT, SIMULATION, LOCATIONS, FRAMEWORK
  • Dokuz Eylül University Affiliated: Yes

Abstract

In this study, a multi-agent system model is developed to observe the effects of ordering parameters on a supply chain with lateral preventive transshipments. The proposed model involves ordering and premium freight bidding processes of the agents. The model is implemented to a multi-national supply chain considering both supply and demand side uncertainties. Effects of safety stock and supplier flexibility levels on performance are examined by simulation from both agent and system-wide perspective. The results reveal the viability of the proposed model. (C) 2016 Elsevier B.V. All rights reserved.