Title of article :
Duration of Collaboration from a Market Perspective: An Agent-based Modeling Approach
Author/Authors :
Arvitrida, Niniet I. Department of Industrial Engineering - Sepuluh Nopember Institute of Technology, indonesia , Tako, Antuela A. School of Business and Economics - Loughborough University, UK , Robertson, Duncan A. School of Business and Economics - Loughborough University, UK , Robinson, Stewart School of Business and Economics - Loughborough University, UK
Pages :
11
From page :
149
To page :
159
Abstract :
Maintaining a long-term partnership with a supplier is considered an effective strategy to achieve collaboration success in supply chain management (SCM). However, individual companies find that this approach does not always improve business performance. In this paper, an agent-based model (ABM) is developed to investigate the effect of duration of collaboration on supply chains from a market perspective. The model represents two-stage supply chains of an innovative product market, involving suppliers and manufacturers. The model outputs are measured by the rate of demand fulfilment and the number of supply chains which can survive in the market. The results show that duration of collaboration has no significant impact on both demand fulfilment and survivability of supply chains. This finding contradicts the common belief held in the literature about the benefits of longterm collaboration, but it corroborates examples encountered in practice. This study provides new insights to the practice of supply chain collaboration by taking a market perspective. The results show that a longer duration of collaboration does not provide a significant improvement to the supply chain's competitiveness from a market point of view, in terms of demand fulfillment and supply chain's ability to survive over the long-term. The implications of this finding to practice are discussed in the paper.
Keywords :
supply chain , duration of collaboration , market perspective , agent-based modeling , simulation
Journal title :
Operations and Supply Chain Management
Serial Year :
2017
Full Text URL :
Record number :
2601136
Link To Document :
بازگشت