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Robust possibilistic programming for socially responsible supply chain network design: A new approach

机译：对社会负责的供应链网络设计的稳健的可能性编程：一种新方法

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The importance of social responsibility of corporate and business units is increasingly emphasized by researchers and practitioners in recent years. Since supply chains play important roles in today's business environment, the issue of social responsibility should be considered carefully when designing and planning of supply chains to move towards sustainability. This paper addresses the problem of socially responsible supply chain network design under uncertain conditions. To this aim, first a bi-objective mathematical programming model is developed wherein its objective functions include minimizing the total cost and maximizing the supply chain social responsibility. Then, for coping with uncertain parameters effectively, a novel possibilistic programming approach, called robust possibilistic programming (RPP), is proposed. Several varieties of RPP models are developed and their differences, weaknesses, strengths and the most suitable conditions for being used are discussed. A real industrial case study is provided to illustrate the performance and applicability of the proposed RPP models in practice.
机译：近年来，研究人员和从业人员越来越强调公司和业务部门的社会责任的重要性。由于供应链在当今的商业环境中起着重要的作用，因此在设计和规划供应链以实现可持续性时应认真考虑社会责任问题。本文解决了不确定条件下对社会负责的供应链网络设计问题。为此，首先开发了一个双目标数学规划模型，其中其目标功能包括最小化总成本和最大化供应链的社会责任。然后，为了有效地应对不确定参数，提出了一种新的可能规划方法，称为鲁棒可能性规划（RPP）。开发了几种RPP模型，并讨论了它们的差异，弱点，优势和最适合使用的条件。提供了一个实际的工业案例研究，以说明所提出的RPP模型在实践中的性能和适用性。

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