A preliminary study on using Data Envelopment Analysis (DEA) in measuring supply chain efficiency

This paper illustrates the use of Data Envelopment Analysis (DEA) in measuring supply chain efficiency. Two models were developed – Technical Efficiency (TE) model and Cost Efficiency (CE) model. The information obtained enable managers to identify inefficient operations and take appropriate actio...

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Bibliographic Details
Main Authors: Wong, Wai Peng, Jaruphongsa, Wikrom, Lee, Loo Hay, Wong, Kuan Yew
Format: Article
Published: Inderscience Publisher 2007
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Online Access:http://eprints.utm.my/id/eprint/6905/
http://dx.doi.org/10.1504/IJASS.2007.015588
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Summary:This paper illustrates the use of Data Envelopment Analysis (DEA) in measuring supply chain efficiency. Two models were developed – Technical Efficiency (TE) model and Cost Efficiency (CE) model. The information obtained enable managers to identify inefficient operations and take appropriate actions for improvement. The opportunity cost serves as a good reference on resource allocations. The models are further enhanced with scenario analysis to derive more meaningful insights for resources planning. The study proves the usefulness of DEA as a decision-making tool in supply chain. Future research could look into the possibility of modelling DEA in a stochastic supply chain environment.