Performance of supply chain collaboration – A simulation study

Ramanathan, U. ORCID: 0000-0002-7473-4643, 2014. Performance of supply chain collaboration – A simulation study. Expert Systems with Applications, 41 (1), pp. 210-220. ISSN 0957-4174

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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.

Item Type: Journal article
Publication Title: Expert Systems with Applications
Creators: Ramanathan, U.
Publisher: Elsevier
Date: 2014
Volume: 41
Number: 1
ISSN: 0957-4174
Identifiers:
NumberType
10.1016/j.eswa.2013.07.022DOI
Divisions: Schools > Nottingham Business School
Depositing User: Linda Sullivan
Date Added: 06 Apr 2016 10:52
Last Modified: 09 Jun 2017 14:00
URI: http://irep.ntu.ac.uk/id/eprint/27374

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