Learning Improvement of DEA Technique in Decision Making for Manufacturing Applications Using DEA Excel-Solver

Abstract:

DEA (Data Envelopment Analysis) is the optimization method of mathematical programming to measure the relative efficiencies of decision making units (DMUs). Due to its wide applicability, the DEA has been studied extensively for the last 30 years to solve decision making problems. Since, there are a lot of selection decisions in manufacturing, DEA as an appropriate tool to be necessary-especially for engineers-to improve learning for decision making. In this paper, the DEA method is applied in decision making process through DEA Excel-Solver software and the required processes are explained step by step to help academics and practitioners to get appropriate results in making decision.

• Periodical: Advanced Materials Research (Volume 903)
• Pages: 425-430
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.903.425
• Online since: February 2014
• Authors: Atefeh Amindoust*, Ahmed Shamsuddin, Ali Saghafinia
• Keywords: DEA, DEA Excel-Solver, Decision-Making, Manufacturing Application

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