ABSTRACT

This paper addresses the aggregate production, procurement, and pricing planning problem of a supply chain network involving suppliers, manufacturer, and retailers in a multi-product and multi-period environment, with supply chain risk and visibility considerations. A supply chain product visibility index comprising multiple attributes is developed to capture the features of information sharing. We formulate the problem as a non-convex mixed integer programme and tailor a generalised Benders decomposition for solution. Computational experiments are conducted to validate the proposed approach.

中文翻译：

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可见性和风险下的采购、生产和价格计划：一种广义的 Benders 分解方法

摘要

本文解决了在多产品和多时期环境中涉及供应商、制造商和零售商的供应链网络的聚合生产、采购和定价规划问题，并考虑了供应链风险和可见性。开发包含多个属性的供应链产品可见性指数来捕捉信息共享的特征。我们将问题表述为非凸混合整数程序，并为解决方案量身定制广义 Benders 分解。进行计算实验以验证所提出的方法。