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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Movin, Sequeira | - |
| dc.contributor.author | Anders, Adlemo | - |
| dc.contributor.author | Per, Hilletofth | - |
| dc.date.accessioned | 2023-05-23T02:58:53Z | - |
| dc.date.available | 2023-05-23T02:58:53Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.uri | https://link.springer.com/article/10.1007/s12063-022-00284-6 | - |
| dc.identifier.uri | https://dlib.phenikaa-uni.edu.vn/handle/PNK/8491 | - |
| dc.description | CC BY | vi |
| dc.description.abstract | 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. | vi |
| dc.language.iso | en | vi |
| dc.publisher | Springer | vi |
| dc.subject | hybrid fuzzy-AHP-TOPSIS model | vi |
| dc.subject | right-shoring decision | vi |
| dc.title | A hybrid fuzzy-AHP-TOPSIS model for evaluation of manufacturing relocation decisions | vi |
| dc.type | Book | vi |
| Appears in Collections | ||
| OER - Kinh tế và Quản lý | ||
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