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

Jose Martino Neto (), Valerio Antonio Pamplona Salomon (), Miguel Angel Ortiz-Barrios () and Antonella Petrillo ()
Additional contact information
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

Annals of Operations Research, 2023, vol. 326, issue 2, No 9, 852 pages

Abstract: 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.

Keywords: Analytic hierarchy process; Compatibility; Correlation; Industrial relocation; Multi-attribute utility theory; Technique of order preference by similarity to ideal solution (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10479-022-04603-9 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:annopr:v:326:y:2023:i:2:d:10.1007_s10479-022-04603-9

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479

DOI: 10.1007/s10479-022-04603-9

Access Statistics for this article

Annals of Operations Research is currently edited by Endre Boros

More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().