Title: Performance evaluation of supply chain in stochastic environment: using a simulation based DEA framework

Authors: Wai Peng Wong

Addresses: School of Management, Universiti Sains Malaysia, 11800 Minden, Penang, Malaysia

Abstract: Supply chain operates in a dynamic platform and its performance measurement requires intensive data collection from the entire value chain. The task of collecting data in supply chain is not trivial and it often faces with uncertainties. This paper develops a simple tool to measure supply chain performance in the real environment, which is stochastic. Firstly, it introduces the data envelopment analysis (DEA) supply chain model in combination with Monte Carlo simulation to measure the supply chain performance in the stochastic environment. Secondly, a GA-based heuristic technique will be presented to improve the prediction of the performance measurement. This methodology offers an alternative to handle uncertainties in supply chain efficiency measurement and could also be used in other relevant fields, to measure efficiency.

Keywords: supply chain management; SCM; business performance; data envelopment analysis; DEA; Monte Carlo simulation; performance measurement; supply chain performance; modelling; stochastic environments.

DOI: 10.1504/IJBPSCM.2009.030642

International Journal of Business Performance and Supply Chain Modelling, 2009 Vol.1 No.2/3, pp.203 - 228

Published online: 29 Dec 2009 *

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