Multiple attribute decision-making methods for the dynamic operator allocation problem

  • Authors:

  • Taho Yang;Mu-Chen Chen;Chih-Ching Hung

  • Affiliations:

  • Institute of Manufacturing Engineering, National Cheng Kung University, No. 1, Ta Hsueh Road, Tainan 701, Taiwan;Department of Business Management, National Taipei University of Technology, Taipei, Taiwan;Institute of Manufacturing Engineering, National Cheng Kung University, No. 1, Ta Hsueh Road, Tainan 701, Taiwan

  • Venue:
  • Mathematics and Computers in Simulation
  • Year:
  • 2007

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Abstract

This study explores two multiple attribute decision-making (MADM) methods to solve a dynamic operator allocation problem. Both methods use an analytic hierarchy process (AHP) to determine attribute weights a priori. The first method uses a technique for order preference by similarity to ideal solution (TOPSIS). The second method incorporates a fuzzy-based logic that uses linguistic variable representation, fuzzy operation, and fuzzy defuzzification. The TOPSIS uses deterministic performance ratings and attribute weights, whilst the fuzzy-based is a linguistic method. An applied case study drawn from existing literature is used to demonstrate and test findings. The proposed methods systematically evaluate alternative scenarios, with the result indicating promise for solving an operator allocation decision problem.