Fuzzy modeling for measuring and improving innovation resilience of the supply chain – Case study: Automotive parts manufacturing in Iran

Articles in Press

Document Type : Research/ Original/ Regular Article

Authors

1 Department of Industrial Management - Faculty of Management and Economics - Science and Research Branch- Islamic Azad University - Tehran - Iran

2 Department of Management - Semnan Branch of Islamic Azad University - Semnan - Iran

3 Department of Industrial Management - Science and Research Branch of Islamic Azad University - Tehran - Iran

4 Department of Management - South Tehran Branch of Islamic Azad University - Tehran - Iran

Abstract

Achieving the current supply chains resilience, which is faced with increasing changes and disruptions due to uncertainty and also the environmental characteristic of open innovation, is only possible through endogenous growth and increasing innovation capacity based on innovative adaptation. Referring to the limited understanding and existing studies gap in this field, the present study, while structuring the problem, seeks to measure and improve the supply chain innovation resilience using a mixed method in a qualitative parts, including identifying and discovering the correspondence between resilience components and types of resilient innovation, and a quantitative part based on fuzzy modeling and conducting a case study for the supply chain of an Iranian company. The results of the successful case study based on establishing a fundamental link and correspondence between resilience components and types of innovation and translating it into a set of correct theoretical principles and logical propositions in the form of a fuzzy measurement model show that the model has acceptable validity and that resilient innovation, while having high empowerment potential through improving both dynamic and operational capabilities, play a key role in improving the level of supply chain resilience. Also, the theoretical generalizability based on integrating practical data and results from the case study with a holistic and systemic theoretical realm based on contextual and logical relationships of the fuzzy model, shows that the research findings, while having usability and transferability criteria, in addition to being applicable in similar situations, can be useful in creating and testing future related theories.

Keywords

Main Subjects

Supply Chain Management

Articles in Press, Accepted Manuscript
Available Online from 26 June 2025

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History

  • Receive Date: 02 February 2025
  • Revise Date: 05 April 2025
  • Accept Date: 26 June 2025
  • Publish Date: 26 June 2025

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