Supply Chain Responsiveness Evaluation Using Forecasting and An Integrated Rough Z-number-based SWARA-TODIM Method

Authors

  • Chia-Nan Wang Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan
  • Thuy-Duong Nguyen Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan
  • Ngoc-Hien Do Department of Industrial & Systems Engineering, Ho Chi Minh City University of Technology, Ho Chi Minh City, Vietnam | Department of Industrial & Systems Engineering, Vietnam National University Ho Chi Minh City, Ho Chi Minh City, Vietnam

DOI:

https://doi.org/10.23055/ijietap.2024.31.5.10153

Abstract

In a dynamic environment characterized by rapid market competition and unanticipated changes, supply chains emphasize the cost-effective implementation of responsive strategies. Moreover, enterprises are experiencing the repercussions of substantial economic transformations precipitated by the COVID-19 pandemic. This research paper aims to identify the critical enablers of responsiveness in Vietnam's jewelry supply chain and rank the supply chain responsiveness (SCR) areas. Evaluating and developing in a challenging economic context is essential to support top management in reallocating resources based on a more empirical foundation. This article presents a novel integrated method combining demand forecasting, the rough Z-number, Stepwise Weight Assessment Ratio Analysis (SWARA), and TODIM (Interactive and Multi-Criteria Decision Making in Portuguese). The approach can decrease the number of pairwise comparisons substantially and demonstrate a substantial benefit in managing ambiguous data and ensuring the dependability of the assessment.

Published

2024-10-16

How to Cite

Wang, C.-N., Nguyen, T.-D., & Do, N.-H. (2024). Supply Chain Responsiveness Evaluation Using Forecasting and An Integrated Rough Z-number-based SWARA-TODIM Method. International Journal of Industrial Engineering: Theory, Applications and Practice, 31(5). https://doi.org/10.23055/ijietap.2024.31.5.10153

Issue

Section

Supply Chain Management