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Compatibility and correlation of multi-attribute decision making: a case of industrial relocation

Author

Listed:
  • Jose Martino Neto

    (Sao Paulo State University)

  • Valerio Antonio Pamplona Salomon

    (Sao Paulo State University)

  • Miguel Angel Ortiz-Barrios

    (Universidad de la Costa CUC)

  • Antonella Petrillo

    (University of Naples Parthenope)

Abstract

Industrial relocation (IR) is a business strategy consisting of moving operations locations. The purpose of this paper is to present how to assess, with multi-attribute decision-making (MADM), alternatives for IR. With MADM, IR strategies can be assessed not only based on a single attribute, as costs, or profits. This paper presents the application of MADM in a real case of IR. Four leading methods of MADM were applied: analytic hierarchy process (AHP), multi-attribute utility theory (MAUT), multi-attribute value theory (MAVT), and technique of order preference by similarity to ideal solution (TOPSIS). Results of AHP, MAUT, MAVT, and TOPSIS were quite similar, indicating the decision for the company not to relocate. A joint comparison of results with compatibility indices and correlation coefficients is the major novelty presented by this paper to the field of Operations Research, known as MADM.

Suggested Citation

  • Jose Martino Neto & Valerio Antonio Pamplona Salomon & Miguel Angel Ortiz-Barrios & Antonella Petrillo, 2023. "Compatibility and correlation of multi-attribute decision making: a case of industrial relocation," Annals of Operations Research, Springer, vol. 326(2), pages 831-852, July.
    • Handle: RePEc:spr:annopr:v:326:y:2023:i:2:d:10.1007_s10479-022-04603-9
    DOI: 10.1007/s10479-022-04603-9
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