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Publication
Decision models for supplier selection in industry 4.0 era: a systematic literature review
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Advisor(s)
Abstract(s)
Industry 4.0 comprises the application of different technological solutions so that business processes throughout the production chain are integrated. The supplier’s selection, considering the industry 4.0 requirements, is essential in promoting collaborative strategies between suppliers and manufacturers. In this context, this study presents a systematic literature review about quantitative models to support supplier selection in the industry 4.0 era. Fourteen studies were reviewed and characterized in different perspectives such as modelling, application, and validation of the decision model. The results revealed that most of the decision models were developed combining multicriteria decision-making (MCDM) with Artificial Intelligence (AI). Among the criteria related to the Industry 4.0 environment, the most frequent ones were information sharing, technological capacity, digital collaboration and engagement. The gathered results can be useful to guide researchers and managers in the development of computational tools to assist decision-making processes for supplier selection in Industry 4.0 era.
Description
Keywords
Supplier selection Industry 4.0 Systematic review Decision models Multicriteria decision-making
Pedagogical Context
Citation
Resende, Carlos H.L.; Geraldes, Carla A.S.; Lima, Francisco Rodrigues (2021). Decision models for supplier selection in industry 4.0 era: a systematic literature review. In 30th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2021. Athens. 55, p. 492,499
Publisher
Elsevier