Analysis and Evaluation of Sustainable Economic Development Components in the Supply Chain Using the Best–Worst Approach

Authors

    Mahdi Mahmoudieh Department of Industrial Management, Qa.C., Islamic Azad University, Qazvin, Iran.
    Elmira Mashayekhi * Department of Industrial Management, Qa.C., Islamic Azad University, Qazvin, Iran. Mashayekhi_elmira@iau.ac.ir
    Hassan Haleh Assistant Professor, Department of Industrial Engineering, Golpayegan Faculty of Engineering, Isfahan University of Technology, Golpayegan, Iran.

Keywords:

Sustainable economic development, sustainable supply chain, multi-criteria decision-making, best–worst method, fuzzy analysis

Abstract

This study aims to analyze and prioritize the indicators of sustainable economic development in the supply chain of Iranian manufacturing industries using the fuzzy Best–Worst Method (BWM). This applied and descriptive–analytical research involved experts from academia and industry in the fields of industrial management and supply chain. Forty-one economic indicators of sustainable development were identified through literature review. Data were collected via a fuzzy survey and normalized through defuzzification. The final weights were obtained using the BWM model in Lingo software, and the inconsistency rate was calculated to ensure data reliability. Results showed that indicators such as production rate (W1), demand (W25), and the percentage of need for a green production system (W30) had the highest weights, indicating their crucial role in achieving economic sustainability in the supply chain. Conversely, indicators such as production start-up cost (W4) and maintenance cost per product unit (W11) had the lowest weights. The inconsistency rate was 0.0619, confirming the model’s high validity and reliability. By providing a localized and quantitative model for prioritizing economic sustainability components, this study offers a practical framework for managers and policymakers to enhance strategic decision-making focused on productivity, demand management, and green production technologies. The proposed model can serve as a foundation for future research and sustainable decision frameworks in various industrial sectors.

Downloads

Download data is not yet available.

References

Afshari, G. (2021). Sustainable Supply Chain Management. Danesh Pazhouhan Sharif Yar.

Agnusdei, G. P., & Coluccia, B. (2022). Sustainable agrifood supply chains: Bibliometric, network and content analyses. Science of The Total Environment. https://doi.org/10.1016/j.scitotenv.2022.153704

Allen, G., Zhu, Q., & Sarkis, J. (2021). Expanding conceptual boundaries of the sustainable supply chain management and circular economy nexus. Cleaner Logistics and Supply Chain, 2. https://doi.org/10.1016/j.clscn.2021.100011

Ansary Asha, A., Dulal, M., & Habib, A. (2023). The influence of sustainable supply chain management, technology orientation, and organizational culture on the delivery product quality-customer satisfaction nexus. Cleaner Logistics and Supply Chain, 7. https://doi.org/10.1016/j.clscn.2023.100107

Bahramian, E., Gohari, N., & Aazh, H. (2023). Preliminary study on speech in noise training in children with Sensory Processing Disorder and hyperacusis. Indian Journal of Otolaryngology and Head & Neck Surgery, 76(1), 344-350. https://doi.org/10.1007/s12070-023-04160-y

Centobelli, P., Cerchione, R., & Shashi. (2021). Determinants of the transition towards circular economy in SMEs: A sustainable supply chain management perspective. International Journal of Production Economics. https://doi.org/10.1016/j.ijpe.2021.108297

Dabbous, A., & Tarhini, A. (2021). Does sharing economy promote sustainable economic development and energy efficiency? Evidence from OECD countries. Journal of Innovation & Knowledge, 6(1), 58-68. https://doi.org/10.1016/j.jik.2020.11.001

Fontoura, P., & Coelho, A. (2022). How to boost green innovation and performance through collaboration in the supply chain: Insights into a more sustainable economy. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2022.132005

Fritz, M. (2022). A supply chain view of sustainability management. Cleaner Production Letters, 3. https://doi.org/10.1016/j.clpl.2022.100023

Gohari, N., Sajadi, E., Azvantash, Z., & Khavarghazalani, B. (2020). A comparative study on the general health of the mothers of children with cochlear implant, hearing aid, and normal hearing. Auditory and Vestibular Research. https://doi.org/10.18502/avr.v29i2.2793

Hibanan, A. (2023). Sustainable Supply Chain Management: Enhancing Environmental and Social Responsibility in Business Operations. https://doi.org/10.31219/osf.io/c2jyq

Khaboushani, Y. U. a.-B. F. M., & Soltani, I. (2020). Designing a Sustainable Closed-Loop Supply Chain with a Multi-Criteria Decision-Making Approach in Dairy Industries. Agricultural Economics and Development, 112(28). https://aead.agri-peri.ac.ir/article_123605.html

Lee, J. S., & Byung Do, C. (2022). Effects of government subsidy programs on job creation for sustainable supply chain management. Socio-Economic Planning Sciences. https://doi.org/10.1016/j.seps.2022.101261

Martina, B., Sokół, A., & Figurska, I. (2023). Organizational Barriers of a Knowledge-Based Organization in the Aspect of Sustainable Creativity Development. Journal of Vasyl Stefanyk Precarpathian National University. https://doi.org/10.15330/jpnu.10.4.46-62

Mehrkian, S., Moossavi, A., Gohari, N., Nazari, M. A., Bakhshi, E., & Alain, C. (2022). Long latency auditory evoked potentials and object-related negativity based on harmonicity in hearing-impaired children. Neuroscience Research, 178, 52-59. https://doi.org/10.1016/j.neures.2022.01.001

Moossavi, A., Mehrkian, S., Gohari, N., Nazari, M. A., Bakhshi, E., & Alain, C. (2021). The effect of harmonic training on speech perception in noise in hearing-impaired children. International Journal of Pediatric Otorhinolaryngology, 149, 110845. https://doi.org/10.1016/j.ijporl.2021.110845

Rahimi, A., Rad, A., Alam Tabrizi, A., & Motameni, A. (2020). Presenting a Lean Supply Chain Model in Iran's Defense Industries with a Structural Interpretive Modeling Approach. Industrial Management Journal, 18(56), 1-49. https://jims.atu.ac.ir/article_10968.html

Ravansh, M. (2021). Multi-Objective Optimization for Designing a Closed-Loop Sustainable Supply Chain Network under Flexible Conditions. First National Conference on Optimization and New Problem-Solving Methods,

Rezaei, Q., & Rajabzadeh, Z. (2022). Investigating Barriers to the Implementation of Sustainable Supply Chains Using the BWM Method (Case Study: Pars Special Economic Energy Zone Organization). Interdisciplinary Studies in Management and Engineering, 16-16. https://doi.org/10.31219/osf.io/c2jyq

Roknoddini, S. A., Andalibiyat Ardakani, D., Zare Ahmadabadi, H., & Hosseini Bamekan, S. M. (2023). Modeling the Enablers of Industry 4.0 in Implementing Sustainable Supply Chains with a DEMATEL-Fuzzy Network Analysis Approach. Industrial Management Outlook, 13(49), 141-172. https://jimp.sbu.ac.ir/article_103168.html

Sadatian Moghaddam, P., Vaziri, A., & Ershadi Oskouei, A. (2024). A New Algorithm for Indoor Robot Localization using Turning Function. Computational Methods for Differential Equations.

Sadeghi, E. (2020). Sustainable Supply Chain in Industry. Salehian.

Samper, M., Florez, D. G., Borre, J. R., & Ramirez, J. (2022). Industry 4.0 for sustainable supply chain management: Drivers and barriers. Procedia Computer Science, 203, 644-650. https://doi.org/10.1016/j.procs.2022.07.094

Shojaei, M., & Amir, A. (2020). Economic Development. Entrepreneur University.

Shuhui, J., & Chen, K. (2024). Multidirectional analysis for sustainable development: An examination of sustainable policies, corporate social responsibility, and organizational performance. Sustainable Development. https://doi.org/10.1002/sd.2907

Slavinskaitė, N., Čižiūnienė, K., & Bundonytė, V. (2025). Assessment of the Sustainable Supply Chain Finance Factors. Sustainability, 17(3), 1002. https://doi.org/10.3390/su17031002

Stefan, G., C, M., & Schleper. (2024). Sustainable supply chain management. https://doi.org/10.4337/9781800880344.ch41

Tathavadekar, V. P. (2025). Sustainable and Resilient Supply Chain Practices through Digital Transformation and Circular Economy Strategies. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5448394

Tetiana, A., Vorkut, L., & Volynets, Y. (2023). Development of indicators for evaluating the level of sustainable development of logistics organizational structures. Ekonomìka transportnogo kompleksu. https://doi.org/10.30977/etk.2225-2304.2023.42.37

Timouri, S. (2021). Logistics and Sustainable Supply Chain. Modares Educational Group (affiliated with M.F.H. Simay Golestan Afarinash), Sanjesh and Danesh.

Vaziri, A., Sadatian Moghaddam, P., & Ershadi Oskouei, A. (2024). Development of Service Compositions in Cloud Manufacturing Processes Based on System Sustainability Components. Journal of Electrical Systems, 19(4). https://doi.org/10.52783/jes.6257

Wang, J., Zhu, L., Feng, L., & Feng, J. (2023). A meta-analysis of sustainable supply chain management and firm performance: Some new findings on sustainable supply chain management. Sustainable Production and Consumption, 38. https://doi.org/10.1016/j.spc.2023.04.015

Wren, B. (2022). Sustainable supply chain management in the fast fashion Industry: A comparative study of current efforts and best practices to address the climate crisis. Cleaner Logistics and Supply Chain, 4. https://doi.org/10.1016/j.clscn.2022.100032

Zhou, W., & Masi, D. (2025). Sustainable Supply Chain Finance: A Multiple Case Study. Sustainability, 17(11), 4862. https://doi.org/10.3390/su17114862

Downloads

Published

2026-10-23

Submitted

2025-06-10

Revised

2025-10-10

Accepted

2025-10-18

Issue

Section

مقالات

How to Cite

Mahmoudieh, M. ., Mashayekhi, E. ., & Haleh, H. (1405). Analysis and Evaluation of Sustainable Economic Development Components in the Supply Chain Using the Best–Worst Approach. Management, Education and Development in Digital Age, 1-26. https://jmedda.com/jmedda/article/view/330

Similar Articles

1-10 of 186

You may also start an advanced similarity search for this article.