Horizontal Integration Through Knowledge Sharing in the Supply Chain Under Uncertainty
提出一种模糊鲁棒可能性规划模型，设计在中断风险和认知不确定性下的知识共享网络，以降低成本和提升供应商知识水平，强调横向整合与多元知识源协作的价值。
A robust knowledge-sharing network is designed for horizontal integration under disruption risks and epistemic uncertainties by introducing a novel optimization model using a fuzzy robust possibilistic programming approach to optimize knowledge sharing among supply chain members with varying knowledge levels. In this article, we aim to identify an efficient knowledge-sharing network, thereby reducing costs and enhancing suppliers' knowledge levels. By challenging the common assumption that companies with higher knowledge levels are always the primary contributors and have more added value for cooperation, this study highlights their potential inefficiencies and higher sharing costs. The proposed model promotes the integration of diverse knowledge sources within the supply chain, emphasizing the importance of horizontal integration. It advocates for comprehensive knowledge sharing among suppliers and organizations to enhance supply chain efficiency, collaboration, and performance while reducing costs. Quantitative analysis demonstrates that knowledge sharing significantly increases supply chain integration, and the study endorses the use of multiobjective mathematical programming for optimal decision making in scheduling. The results emphasize the value of collaborating with closely aligned companies to minimize knowledge-sharing costs and enhance broader organizational collaboration. Furthermore, the introduced model proposes practical execution scheduling and knowledge-sharing processes, as evidenced by a case study, leading to effective execution scheduling, reduced costs, improved communication, strengthened collaboration, and increased supply chain efficiency. Overall, this article contributes to research in supply chain management and knowledge-sharing models, enabling them to navigate constraints and market dynamics to improve supply chain performance through effective knowledge sharing and collaboration.