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A Min–Max Operator Allocation Formulation, Computer Simulation and DEA Cross-Efficiency in Determining the Optimal Operator Allocation

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The operator allocation decision is presented in this paper. A combination of min–max operator allocation formulation, computer simulation and DEA cross efficiency are used in determining the optimal operator allocation. The use of computer simulation offers more flexibility in designing and determining the inputs and outputs of each operator allocation alternative. Then, DEA cross efficiency further aids in the decision of optimal operator allocation. The advantage of this approach over the previous computer simulation and DEA based operator allocation methods, is all operator allocation alternatives can be identified using min–max operator allocation formulation. An application of operator allocation among 17 operators in SME food manufacturing company is conducted to define the effectiveness of the proposed approach.

Keywords: Computer Simulation; DEA Cross-Efficiency; Min–Max Operator Allocation Formulation; Operator Allocation

Document Type: Research Article

Affiliations: 1: Centre for Statistical and Decision Sciences Studies, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia 2: School of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia 3: Department of Mechanical and Materials Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia

Publication date: 01 February 2018

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