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Big Data Cogn. Comput. 2018, 2(3), 27; https://doi.org/10.3390/bdcc2030027

Productivity Benchmarking Using Analytic Network Process (ANP) and Data Envelopment Analysis (DEA)

1
Department of Mechanical Engineering, Ohio University, Athens, OH 45701, USA
2
Department of Mechanical, Automotive & Materials Engineering, University of Windsor, Windsor, ON N9B 3P4, Canada
3
Department of Industrial and Production Engineering (IPE), Bangladesh University of Engineering and Technology (BUET), Dhaka 1000, Bangladesh
*
Author to whom correspondence should be addressed.
Received: 29 July 2018 / Revised: 15 August 2018 / Accepted: 22 August 2018 / Published: 3 September 2018
(This article belongs to the Special Issue Big-Data Driven Multi-Criteria Decision-Making)
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Abstract

Measuring productivity is the systematic process for both inter- and intra-organizational comparisons. The productivity measurement can be used to control and facilitate decision-making in manufacturing as well as service organizations. This study’s objective was to develop a decision support framework by integrating an analytic network process (ANP) and data envelopment analysis (DEA) approach to tackling productivity measurement and benchmarking problems in a manufacturing environment. The ANP was used to capture the interdependency between the criteria taking into consideration the ambiguity and vagueness. The nonparametric DEA approach was utilized to determine the input-oriented constant returns to scale (CRS) efficiency of different value-adding production units and to benchmark them. The proposed framework was implemented to benchmark the productivity of an apparel manufacturing company. By applying the model, industrial managers can gain benefits by identifying the possible contributing factors that play an important role in increasing the productivity of manufacturing organizations. View Full-Text
Keywords: productivity; benchmarking; analytic network process; data envelopment analysis productivity; benchmarking; analytic network process; data envelopment analysis
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Mazumder, S.; Kabir, G.; Hasin, M.A.A.; Ali, S.M. Productivity Benchmarking Using Analytic Network Process (ANP) and Data Envelopment Analysis (DEA). Big Data Cogn. Comput. 2018, 2, 27.

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