Skip to search boxSkip to navigationSkip to main content

Performance of supply chain collaboration: a simulation study

  • Usha Ramanathan
Research Output:
Contribution to journal
Article
 Peer-review

Open access

Abstract

In the past few decades several supply chain management initiatives such as Vendor Managed Inventory, Continuous Replenishment and Collaborative Planning Forecasting and Replenishment (CPFR) have been proposed in literature to improve the performance of supply chains. But, identifying the benefits of collaboration is still a big challenge for many supply chains. Confusion around the optimum number of partners, investment in collaboration and duration of partnership are some of the barriers of healthy collaborative arrangements. To evolve competitive supply chain collaboration (SCC), all SC processes need to be assessed from time to time for evaluating the performance. In a growing field, performance measurement is highly indispensable in order to make continuous improvement; in a new field, it is equally important to check the performance to test conduciveness of SCC. In this research, collaborative performance measurement will act as a testing tool to identify conducive environment to collaborate, by the way of pinpointing areas requiring improvements before initializing collaboration. We use actual industrial data and simulation to help managerial decision-making on the number of collaborating partners, the level of investments and the involvement in supply chain processes. This approach will help the supply chains to obtain maximum benefit of collaborative relationships. The use of simulation for understanding the performance of SCC is relatively a new approach and this can be used by companies that are interested in collaboration without having to invest a huge sum of money in establishing the actual collaboration. © 2013 Elsevier Ltd. All rights reserved.

Publication Information

Output type

Research Output:
Contribution to journal
Article
 Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 210-220

Journal (Volume, Issue Number)

Expert Systems with Applications (Volume 41, Issue 1)

Publication milestones

  • Published - 16/07/2013

Publication status

Published - 16/07/2013

ISSN

0957-4174

Publication IDs

  • handle.net: 10547/623961
  • Scopus: 84885174771

Access to documents

Publication metrics

Metrics

Download statistics
Download count
3