Abstract | ||
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Offshore outsourcing is a widely used management technique for performing business functions with the aim of reducing labor and transportation costs. The selection of locations has a significant influence on the supply chain's resilience and qualities, but the influence of multiple external factors on the supply chain's performance in local places in a complex and uncertain environment has not been examined. In this study, we investigated the influence of external factors in a highly uncertain and complicated situation in which relationships between external factors and supply chain resilience are complicated. Furthermore, we proposed a novel model to select locations from a comprehensive perspective. Specifically, the fuzzy cognitive map (FCM) is utilized to simulate the dynamic influence process where the adjacency is aggregated by D numbers. The weights of different resilience capabilities are considered from the perspective of maximizing benefits by using the decision-making trial and evaluation laboratory-analytic network processes (DEMATEL-ANP) model. By comparing the distance to the ideal solutions, we selected the best alternative location. Our results differ from the general case, which reveals that the weights of different capabilities influence selections. |
Year | DOI | Venue |
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2019 | 10.15837/ijccc.2019.5.3585 | INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL |
Keywords | Field | DocType |
Offshore outsourcing, supply chain resilience, location selection, FCM, D number, DEMATEL-ANP, multicriteria decision making (MDM) | Psychological resilience,Adjacency list,Cognitive map,Industrial engineering,Computer science,Offshore outsourcing,Fuzzy cognitive map,Ideal solution,Artificial intelligence,Supply chain,Machine learning | Journal |
Volume | Issue | ISSN |
14 | 5 | 1841-9836 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Lian Zhou | 1 | 34 | 5.77 |
Fuyuan Xiao | 2 | 201 | 19.11 |