Cloud model for new energy vehicle supply chain management based on growth expectation

Qingsheng Zhu, Kai Gao and Jia-Bao Liu ()
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Qingsheng Zhu: Anhui Jianzhu University
Kai Gao: Anhui Jianzhu University
Jia-Bao Liu: Anhui Jianzhu University

Journal of Combinatorial Optimization, 2023, vol. 45, issue 5, No 15, 23 pages

Abstract: Abstract The goal of supply chain management is to enhance output levels through the integration and collaboration of supply chain members. As such, identifying high-quality cooperative members is critical. However, many decision-making models for supply chain management neglect the consideration of growth expectations for these members, resulting in an unstable decision-making process. Therefore, it is essential to incorporate growth expectations into the decision-making process. To reduce ambiguity, we propose using cloud theory to quantify growth expectations and establish a cloud model of growth expectations. Our study underscores the importance of considering growth expectations when selecting supply chain cooperative members. By utilizing the cloud model of growth expectations, we provide a more comprehensive decision-making approach that enables decision-makers to assess the suitability of potential cooperative members and select the best member based on a multi-attribute decision-making process. We demonstrate the effectiveness of our method through case studies, which ensures its practicality and usability in real-world applications. Ultimately, our method offers a more efficient means of selecting cooperative members, which is expected to enhance output levels and increase supply chain efficiency.

Keywords: Growth expectation; Collaborative capabilities; Supply chain management; Cloud models; Multi-attribute decision-making; M11; L23 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10878-023-01052-3

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