Enhancing multi-facility manufacturing resilience through integrated product and supply chain network design

IF 4.6 2区 工程技术 Q2 ENGINEERING, MANUFACTURING CIRP Journal of Manufacturing Science and Technology Pub Date : 2024-06-25 DOI:10.1016/j.cirpj.2024.06.008
Arian Hosseinzadeh, Sharareh Taghipour
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Abstract

This paper presents an integrated approach for joint decision-making in reliable product design and resilient supply chain network design within a two-echelon capacitated network. Our methodology simultaneously addresses two crucial decisions faced by manufacturing industry by integrating the design processes of modular products and their supply chain networks, allowing for multiple production facilities and product variants. Through redundancy allocation, we optimize product reliability within production facilities while considering component sourcing from multiple suppliers. Our approach employs three resilience strategies—multi-sourcing, supplier fortification, and backup supplier contracting—to enhance supply chain resilience against disruptions. A case study solved using a genetic algorithm demonstrates the effectiveness of different resilience strategy combinations in achieving various levels of production resilience. This research offers insights into integrated decision-making for enhancing product reliability and supply chain resilience, thereby providing valuable guidance for industry practitioners. Furthermore, the sensitivity analysis highlights the framework’s capability to minimize total costs by prioritizing resilient designs and strategically investing in resilience strategies as costs of production shortage increase. This analysis underscores the interconnected nature of product and supply chain network design decisions in mitigating disruptions and enhancing production resilience.

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通过综合产品和供应链网络设计提高多设施制造的复原力
本文提出了一种综合方法,用于在双梯队容纳网络中联合决策可靠的产品设计和弹性供应链网络设计。通过整合模块化产品及其供应链网络的设计流程,我们的方法同时解决了制造业面临的两个关键决策问题,允许多个生产设施和产品变体。通过冗余分配,我们优化了生产设施内的产品可靠性,同时考虑了从多个供应商采购组件的问题。我们的方法采用了三种弹性策略--多重采购、供应商强化和后备供应商签约,以增强供应链应对中断的弹性。一项使用遗传算法解决的案例研究表明,不同的恢复力策略组合在实现不同程度的生产恢复力方面都很有效。这项研究为提高产品可靠性和供应链复原力的综合决策提供了见解,从而为行业从业人员提供了宝贵的指导。此外,敏感性分析还强调了该框架的能力,即随着生产短缺成本的增加,通过优先考虑弹性设计和战略性投资弹性策略,最大限度地降低总成本。这项分析强调了产品和供应链网络设计决策在减少中断和提高生产弹性方面的相互关联性。
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来源期刊
CIRP Journal of Manufacturing Science and Technology
CIRP Journal of Manufacturing Science and Technology Engineering-Industrial and Manufacturing Engineering
CiteScore
9.10
自引率
6.20%
发文量
166
审稿时长
63 days
期刊介绍: The CIRP Journal of Manufacturing Science and Technology (CIRP-JMST) publishes fundamental papers on manufacturing processes, production equipment and automation, product design, manufacturing systems and production organisations up to the level of the production networks, including all the related technical, human and economic factors. Preference is given to contributions describing research results whose feasibility has been demonstrated either in a laboratory or in the industrial praxis. Case studies and review papers on specific issues in manufacturing science and technology are equally encouraged.
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