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Advisor(s)
Abstract(s)
Supplier development refers to the efforts of a purchasing company and its suppliers to improve
supplier performance and its ability to fulfill the purchasing company’s supply needs. Recently,
several quantitative models have appeared in the literature that support decision-making processes
regarding supplier development programs (SDPs). To update the latest research related to
this subject, as well as contribute towards the establishment of a research agenda, this study
presents a review of the literature on decision-making models that assist the formulating and
evaluating of SDPs. This review analyzes 65 articles published in relevant journals, which are
characterized in terms of several factors which are inherent to decision making in supplier
development. The results show that most models focus on formulating SDPs, whereas the most
common decision-making methods are Data Envelopment Analysis and Rough Set Theory. The
use of multicriteria models and Fuzzy Sets has increased. The research gaps identified allowed us
to propose some future research directions on the topic, calling attention to the need of developing
new models considering elements that have not yet been studied in the literature, as well as
performing comparative studies between them. Our results here can help orient researchers and
managers in developing their decision-making processes in terms of SDP formulation and
evaluation.
Description
Keywords
Supplier development Decision-making models Systematic literature review Supply chain
Citation
Resende, Carlos Henrique Lopes; Lima-Junior, Francisco Rodrigues; Carpinetti, Luiz Cesar Ribeiro (2023). Decision-making models for formulating and evaluating supplier development programs: A state-of-the-art review and research paths. Transportation Research Part E: Logistics and Transportation Review. ISSN 13665545. 180, p. 1-32
Publisher
Elsevier