A Role of Network Data Envelopment Analysis Approach in Manufacturing Industry: Review of Last 5 years

Atul Kumar () and Millie Pant ()
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Atul Kumar: Indian Institute of Technology Roorkee
Millie Pant: Indian Institute of Technology Roorkee

A chapter in Reliability Engineering for Industrial Processes, 2024, pp 51-64 from Springer

Abstract: Abstract In recent years, the manufacturing industry has been recognized as a key driver of economic growth and development of a nation. It generates significant value-added output, creates employment opportunities, and spurs technological advancements. As a result, performance evaluation of manufacturing firms has become a crucial task for assessing their efficiency, identifying improvement areas, and sustaining growth in a complex network environment. This study aims to explore the application of Network Data Envelopment Analysis (NDEA) models in the manufacturing industry to assess the efficiency of interconnected manufacturing units. By considering the complex relationships and interdependencies among various entities within the manufacturing process, these models offer a comprehensive approach to evaluate the efficiency of the decision-making unit (DMU) that is a manufacturing firm. Finally, this study shows that NDEA models provide valuable insights to decision-makers by identifying areas for improvement and suggesting strategies to enhance efficiency of the system.

Keywords: Efficiency; NDEA; Manufacturing industry (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-031-55048-5_4

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DOI: 10.1007/978-3-031-55048-5_4

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