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

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Sequeira, MovinJönköping University,JTH, Industriell produktutveckling, produktion och design (author)

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

Article/chapterEnglish2023

Publisher, publication year, extent ...

2022-06-30
Springer,2023
printrdacarrier

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LIBRIS-ID:oai:DiVA.org:hj-58036
https://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-58036URI
https://doi.org/10.1007/s12063-022-00284-6DOI
https://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-38650URI

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Language:English
Summary in:English

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SwePubSwePub

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Subject category:ref swepub-contenttype
Subject category:art swepub-publicationtype

Notes

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 and genre

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

Added entries (persons, corporate bodies, meetings, titles ...)

Adlemo, AndersJönköping University,JTH, Avdelningen för datateknik och informatik(Swepub:hj)adland (author)
Hilletofth, PerHögskolan 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(Swepub:hig)perhih (author)
Jönköping UniversityJTH, Industriell produktutveckling, produktion och design (creator_code:org_t)

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In:Operations Management Research: Springer16, s. 164-1911936-97351936-9743

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By the author/editor: Sequeira, Movin; Adlemo, Anders; Hilletofth, Per

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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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