期刊
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
卷 211, 期 -, 页码 166-179出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.ijpe.2019.01.025
关键词
Supplier selection; Sustainability; Multi-criteria decision making; Group decisions; Ordinal preferences; Preference aggregation; Game theory
资金
- European Union's Horizon 2020 research and innovation programme [723336]
- H2020 Societal Challenges Programme [723336] Funding Source: H2020 Societal Challenges Programme
Civil society increasingly holds focal companies accountable for ensuring socially and environmentally sustainable production standards among their supply base. These standards entail increased levels of complexity to be addressed by appropriately designed tools, such as the Voting Analytic Hierarchy Process (VAHP) proposed by Liu and Hai (2005). This method of multi-criteria group decision making structures decision criteria in a hierarchical fashion as per Saaty's Analytic Hierarchy Process (AHP) and employs data envelopment analysis (DEA) for deriving criteria weights from the ordinal preferences of the group members. Compared to AHP, the method permits a simpler application in a group decision context. However, its theoretical underpinnings have been questioned in the literature. This specifically concerns (i) the requirement of a strong convex order for the importance weights of ordinal rank gradations, and (ii) the choice of discrimination threshold for consecutive rank weights in the underlying DEA model. We propose a revised VAHP method that overcomes both issues (i) and (ii) by pursuing a game-theoretic approach to elicitation of criteria weights - so as to remove subjectivity from rank discrimination. We illustrate the application of the method on a real-world problem of sustainable supplier selection. We contribute to theory by proposing a more robust VAHP tool that helps supply chain and purchasing managers selecting suppliers based on a comprehensive set of criteria spanning all three sustain ability dimensions (economic, environmental, and social), while coping with parsimonious input by group decision-makers.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据