Using Other Multi-Attribute Decision-Making Techniques to Measure Efficiency When Data Envelopment Analysis Fails

William P. Fox (), Ethan Buck, John Morris, Oliver Stein, Simon Sun, Rebecca Rousseau and Asanah Teneng
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William P. Fox: College of William & Mary
Ethan Buck: College of William and Mary
John Morris: College of William and Mary
Oliver Stein: College of William and Mary
Simon Sun: College of William and Mary
Rebecca Rousseau: College of William and Mary
Asanah Teneng: College of William and Mary

A chapter in Introduction to Internet of Things in Management Science and Operations Research, 2021, pp 247-258 from Springer

Abstract: Abstract In this article, we show an example of data envelopment analysis that does not provide us with efficiencies based on the same selection of inputs and outputs that were provided by the decision maker. Therefore, we select another multi-attribute decision making tool such as TOPSIS. TOPSIS is modified to calculate “efficiency” and we use entropy weighting method in order to use all the inputs and outputs in our efficiency decision process. Our case study is applied to an example of sensor procurement within the Internet of Things.

Keywords: Data envelopment analysis; Decision maker; Internet of Things; TOPSIS (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-030-74644-5_12

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DOI: 10.1007/978-3-030-74644-5_12

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