A robust design of a circular supply chain network based on the resilience and responsiveness dimensions: A data-driven model

IF 5.4 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences Pub Date : 2025-07-31 DOI:10.1016/j.seps.2025.102294

Vahid Yahyapour Ganji , Ehsan Hozan , Parisa Babolhavaeji , AmirReza Tajally , Mohssen Ghanavati-Nejad

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引用次数: 0

Abstract

In recent years, the importance of the Supply Chain Network Design Problem (SCNDP) has drastically increased in the business environments. Although in the traditional perspective usually supply chains were configured only based on the financial aspect, nowadays owing to environmental concerns, unpredictable disruptions, and customer expectations, several other aspects have been incorporated into the mentioned problem. In this regard, this study focused on the SCNDP by considering crucial aspects namely responsiveness, Circular Economy (CE), and resilience. This study suggests a novel Data-Driven Approach (DDA) to investigate the mentioned problem. In the first stage of the developed method, the weights of the potential locations for establishing repairing and recycling centers are determined using the combinations of the Fuzzy Best-Worst Method (FBWM) and Light Gradient Boosting Machine (LightGBM) Then, in the second stage, a closed-loop supply chain with the mentioned dimensions (i.e., resilience, CE, and responsiveness) is configured by proposing a Multi-objective Mathematical Model (MOM). It should be noted that a DDA by combining the Robust Fuzzy-Stochastic (RFS) programming and the Dynamic Regression is developed to deal with mixed uncertainty. Moreover, this study focuses on a real-world case study in the healthcare industry for demonstrating the application of the developed DDA. Besides, this research develops an efficient solution method to solve the proposed MOM. The obtained results confirm the application and efficiency of the proposed DDA.

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基于弹性和响应性维度的循环供应链网络稳健设计：数据驱动模型

近年来，供应链网络设计问题（SCNDP）在商业环境中的重要性急剧增加。虽然在传统观点中，供应链通常仅基于财务方面进行配置，但如今由于环境问题，不可预测的中断和客户期望，其他几个方面已被纳入上述问题。在这方面，本研究通过考虑响应性、循环经济（CE）和弹性等关键方面，重点关注SCNDP。本研究提出一种新的数据驱动方法（DDA）来研究上述问题。在该方法的第一阶段，利用模糊最佳-最差法（FBWM）和光梯度增强机（LightGBM）的组合确定建立维修和回收中心的潜在位置的权重，然后在第二阶段，通过提出多目标数学模型（MOM）来配置具有上述维度（即弹性，CE和响应性）的闭环供应链。需要注意的是，将鲁棒模糊随机规划与动态回归相结合，提出了一种处理混合不确定性的DDA方法。此外，本研究着重于医疗保健行业的实际案例研究，以展示开发的DDA的应用。此外，本研究还开发了一种有效的求解方法来求解所提出的MOM。实验结果证实了该方法的有效性和实用性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Socio-economic Planning Sciences OPERATIONS RESEARCH & MANAGEMENT SCIENCE-

CiteScore

9.40

自引率

13.10%

发文量

294

审稿时长

58 days

期刊介绍： Studies directed toward the more effective utilization of existing resources, e.g. mathematical programming models of health care delivery systems with relevance to more effective program design; systems analysis of fire outbreaks and its relevance to the location of fire stations; statistical analysis of the efficiency of a developing country economy or industry. Studies relating to the interaction of various segments of society and technology, e.g. the effects of government health policies on the utilization and design of hospital facilities; the relationship between housing density and the demands on public transportation or other service facilities: patterns and implications of urban development and air or water pollution. Studies devoted to the anticipations of and response to future needs for social, health and other human services, e.g. the relationship between industrial growth and the development of educational resources in affected areas; investigation of future demands for material and child health resources in a developing country; design of effective recycling in an urban setting.