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A hybrid fuzzy-AHP-TOPSIS model for evaluation of manufacturing relocation decisions

Sequeira, Movin (author)
Jönköping University,JTH, Industriell produktutveckling, produktion och design
Adlemo, Anders (author)
Jönköping University,JTH, Avdelningen för datateknik och informatik
Hilletofth, Per (author)
Högskolan i Gävle,Jönköping University,JTH, Industriell produktutveckling, produktion och design,Department of Industrial Engineering and Management, University of Gävle, Gävle, Sweden,Industriell ekonomi,Centrum för logistik och innovativ produktion
 (creator_code:org_t)
2022-06-30
2023
English.
In: Operations Management Research. - : Springer. - 1936-9735 .- 1936-9743. ; 16, s. 164-191
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Manufacturing relocation decisions are complex because they involve combinations of location modes like offshoring or reshoring, and governance modes like insourcing or outsourcing. Furthermore, the uncertainty involved in the decision-making process makes it challenging to reach a right-shoring decision. This study presents a hybrid fuzzy-AHP-TOPSIS model to support generic relocation decisions. Industry experts were involved in a pairwise comparison of the competitive priorities’ decision criteria. A meta-synthesis of empirical studies is used to generate theoretical relocation scenarios. The presented hybrid model is used to rank the relocation scenarios in order to identify the most pertinent alternative. The resiliency of the solution is presented through a sensitivity analysis. The results indicate that the proposed hybrid model can simultaneously handle all the main relocation options involving governance modes. Based on the input data in this study, the competitive priorities criteria quality, time and cost are shown to have a strong impact, whereas the sustainability criterion has a weak impact on the choice of relocation option. The research presented in this paper contributes to the research field of manufacturing relocation by demonstrating the suitability of the hybrid fuzzy-AHP-TOPSIS model for relocation decisions and the resilience of the results. Furthermore, the research contributes to practice by providing managers with a generic relocation decision-support model that is capable of simultaneously handling and evaluating various relocation alternatives.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Maskinteknik -- Produktionsteknik, arbetsvetenskap och ergonomi (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Mechanical Engineering -- Production Engineering, Human Work Science and Ergonomics (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Maskinteknik -- Annan maskinteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Mechanical Engineering -- Other Mechanical Engineering (hsv//eng)
SAMHÄLLSVETENSKAP  -- Ekonomi och näringsliv (hsv//swe)
SOCIAL SCIENCES  -- Economics and Business (hsv//eng)

Keyword

Decision-making
Fuzzy-AHP
Fuzzy-TOPSIS
Manufacturing relocation
Offshoring
Reshoring
Intelligent industri

Publication and Content Type

ref (subject category)
art (subject category)

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By the author/editor
Sequeira, Movin
Adlemo, Anders
Hilletofth, Per
About the subject
ENGINEERING AND TECHNOLOGY
ENGINEERING AND ...
and Mechanical Engin ...
and Production Engin ...
ENGINEERING AND TECHNOLOGY
ENGINEERING AND ...
and Mechanical Engin ...
and Other Mechanical ...
SOCIAL SCIENCES
SOCIAL SCIENCES
and Economics and Bu ...
Articles in the publication
Operations Manag ...
By the university
Jönköping University
University of Gävle

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