通过制造组织的不确定性进行复原力指南针导航--采用混合方法的动态能力方法

IF 4.6 2区工程技术 Q2 ENGINEERING, MANUFACTURING

CIRP Journal of Manufacturing Science and Technology Pub Date : 2024-10-31 DOI:10.1016/j.cirpj.2024.10.014

Arpita Chari , Mélanie Despeisse , Björn Johansson , Sandra Morioka , Cláudia Fabiana Gohr , Johan Stahre

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引用次数: 0

摘要

在不确定的制造环境中，帮助公司和供应链应对突发事件并促进可持续发展的工具至关重要。然而，制造业组织对复原力的应用有限，通常侧重于供应链的复原力。本研究采用混合方法，以尽量减少制造业复原力的主观性。定量内容效度指数（CVI）有助于开发 "复原力指南针 "评估工具，而在六个制造企业中的经验应用则证明了该工具的实用性。该研究确定了 54 种复原力实践、11 种动态能力和三个阶段（预测、应对和适应）之间的关系，为决策者提供了提高制造业复原力的可行见解。

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Resilience compass navigation through manufacturing organization uncertainty – A dynamic capabilities approach using mixed methods

In uncertain manufacturing environments, tools that help companies and supply chains navigate unexpected events and promote sustainability are crucial. However, the application of resilience in manufacturing organizations is limited, often focusing on supply chain resilience. This study used mixed methods to minimize subjectivity in manufacturing resilience. A quantitative Content Validity Index (CVI) helped develop the 'resilience compass' assessment tool, while empirical applications in six manufacturing organizations demonstrated its usefulness. The study identifies relationships between 54 resilience practices, 11 dynamic capabilities, and three stages: anticipation, coping, and adaptation, providing decision-makers with actionable insights to enhance manufacturing resilience.

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来源期刊

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.