当前位置: X-MOL 学术Journal of Enterprise Information Management › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Multi-objective robust optimization for multi-stage-multi-product agile closed-loop supply chain under uncertainty in the context of circular economy
Journal of Enterprise Information Management ( IF 5.661 ) Pub Date : 2021-11-16 , DOI: 10.1108/jeim-12-2020-0514
Saeid Jafarzadeh Ghoushchi 1 , Iman Hushyar 1 , Kamyar Sabri-Laghaie 1
Affiliation  

Purpose

A circular economy (CE) is an economic system that tries to eliminate waste and continually use resources. Due to growing environmental concerns, supply chain (SC) design should be based on the CE considerations. In addition, responding and satisfying customers are the challenges managers constantly encounter. This study aims to improve the design of an agile closed-loop supply chain (CLSC) from the CE point of view.

Design/methodology/approach

In this research, a new multi-stage, multi-product and multi-period design of a CLSC network under uncertainty is proposed that aligns with the goals of CE and SC participants. Recycling of goods is an important part of the CLSC. Therefore, a multi-objective mixed-integer linear programming model (MILP) is proposed to formulate the problem. Besides, a robust counterpart of multi-objective MILP is offered based on robust optimization to cope with the uncertainty of parameters. Finally, the proposed model is solved using the e-constraint method.

Findings

The proposed model aims to provide the strategic choice of economic order to the suppliers and third-party logistic companies. The present study, which is carried out using a numerical example and sensitivity analysis, provides a robust model and solution methodology that are effective and applicable in CE-related problems.

Practical implications

This study shows how all upstream and downstream units of the SC network must work integrated to meet customer needs considering the CE context.

Originality/value

The main goal of the CE is to optimize resources, reduce the use of raw materials, and revitalize waste by recycling. In this study, a comprehensive model that can consider both SC design and CE necessities is developed that considers all SC participants.



中文翻译:

循环经济背景下不确定性下多阶段多产品敏捷闭环供应链多目标鲁棒优化

目的

循环经济 (CE) 是一种试图消除浪费并持续使用资源的经济体系。由于环境问题日益严重,供应链 (SC) 设计应基于 CE 考虑。此外,回应和满足客户是管理者经常遇到的挑战。本研究旨在从 CE 的角度改进敏捷闭环供应链 (CLSC) 的设计。

设计/方法/方法

在这项研究中,提出了一种新的多阶段、多产品和多周期的不确定性 CLSC 网络设计,与 CE 和 SC 参与者的目标保持一致。货物回收是CLSC的重要组成部分。因此,提出了多目标混合整数线性规划模型 (MILP) 来制定该问题。此外,基于鲁棒优化提供了多目标 MILP 的鲁棒对应物,以应对参数的不确定性。最后,使用电子约束方法求解所提出的模型。

发现

该模型旨在为供应商和第三方物流公司提供经济秩序的战略选择。本研究使用数值示例和敏感性分析进行,提供了有效且适用于 CE 相关问题的稳健模型和解决方法。

实际影响

本研究表明,考虑到 CE 环境,SC 网络的所有上游和下游单元必须如何集成才能满足客户需求。

原创性/价值

CE的主要目标是优化资源,减少原材料的使用,并通过回收来振兴废物。在这项研究中,开发了一个可以考虑 SC 设计和 CE 必要性的综合模型,该模型考虑了所有 SC 参与者。

更新日期:2021-11-15
down
wechat
bug