Fuzzy-logic-based support tools for initial screening of manufacturing reshoring decisions Article Swipe
Per Hilletofth
,
Movin Sequeira
,
Wendy L. Tate
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1108/imds-05-2020-0290
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1108/imds-05-2020-0290
Purpose This paper investigates the suitability of fuzzy-logic-based support tools for initial screening of manufacturing reshoring decisions. Design/methodology/approach Two fuzzy-logic-based support tools are developed together with experts from a Swedish manufacturing firm. The first uses a complete rule base and the second a reduced rule base. Sixteen inference settings are used in both of the support tools. Findings The findings show that fuzzy-logic-based support tools are suitable for initial screening of manufacturing reshoring decisions. The developed support tools are capable of suggesting whether a reshoring decision should be further evaluated or not, based on six primary competitiveness criteria. In contrast to existing literature this research shows that it does not matter whether a complete or reduced rule base is used when it comes to accuracy. The developed support tools perform similarly with no statistically significant differences. However, since the interpretability is much higher when a reduced rule base is used and it require fewer resources to develop, the second tool is more preferable for initial screening purposes. Research limitations/implications The developed support tools are implemented at a primary-criteria level and to make them more applicable, they should also include the sub-criteria level. The support tools should also be expanded to not only consider competitiveness criteria, but also other criteria related to availability of resources and strategic orientation of the firm. This requires further research with regard to multi-stage architecture and automatic generation of fuzzy rules in the manufacturing reshoring domain. Practical implications The support tools help managers to invest their scarce time on the most promising reshoring projects and to make timely and resilient decisions by taking a holistic perspective on competitiveness. Practitioners are advised to choose the type of support tool based on the available data. Originality/value There is a general lack of decision support tools in the manufacturing reshoring domain. This paper addresses the gap by developing fuzzy-logic-based support tools for initial screening of manufacturing reshoring decisions.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1108/imds-05-2020-0290
- https://www.emerald.com/insight/content/doi/10.1108/IMDS-05-2020-0290/full/pdf?title=fuzzy-logic-based-support-tools-for-initial-screening-of-manufacturing-reshoring-decisions
- OA Status
- hybrid
- Cited By
- 20
- References
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- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3143804655
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3143804655Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1108/imds-05-2020-0290Digital Object Identifier
- Title
-
Fuzzy-logic-based support tools for initial screening of manufacturing reshoring decisionsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-03-25Full publication date if available
- Authors
-
Per Hilletofth, Movin Sequeira, Wendy L. TateList of authors in order
- Landing page
-
https://doi.org/10.1108/imds-05-2020-0290Publisher landing page
- PDF URL
-
https://www.emerald.com/insight/content/doi/10.1108/IMDS-05-2020-0290/full/pdf?title=fuzzy-logic-based-support-tools-for-initial-screening-of-manufacturing-reshoring-decisionsDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://www.emerald.com/insight/content/doi/10.1108/IMDS-05-2020-0290/full/pdf?title=fuzzy-logic-based-support-tools-for-initial-screening-of-manufacturing-reshoring-decisionsDirect OA link when available
- Concepts
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Decision support system, Fuzzy logic, Interpretability, Fuzzy rule, Knowledge base, Computer science, Rule-based system, Engineering, Fuzzy set, Artificial intelligenceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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20Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 4, 2024: 6, 2023: 6, 2022: 2, 2021: 2Per-year citation counts (last 5 years)
- References (count)
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74Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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