Identifying and Prioritizing Supply Chain Sustainability Indicators for Perishable Products Via Grounded Theory and Fuzzy Hierarchical Analysis Approach
محورهای موضوعی : Business StrategyShahab Heidari 1 , Belgheis Bavarsad 2 , Majid Nili Ahmad Abadi 3 , Saber Mullah Alizadeh Zavardehi 4
1 - Department of Management, Masjed Soleyman Branch, Islamic Azad University,Masjed Soleyman , Iran
2 - Department of Economics and Social Sciences, Shahid Chamran University , Ahvaz, Iran
3 - Department of Economics and Management, University of Qom, Qom, Iran
4 - Department of Management, Masjed Soleyman Branch, Islamic Azad University,Masjed Soleyman , Iran
کلید واژه: Dairy Industry, sustainable supply chain, Fuzzy Decision-making Techniques, Sustainable Development,
چکیده مقاله :
Supply chain coordination from supplier selection stages to customer delivery is among the issues creating the most challenges for supply chain management, especially for short-lived and perishable foodstuffs. The current study aims to identify and rank the factors involved in sustainable supply chain in the dairy industry. In this qualitative research, by reviewing the theoretical literature and surveying specialists and experts, the factors affecting supply chain sustainability and the sustainable supply chain dimensions (i.e., economic, social, and environmental) were identified. The determined factors were then ranked. To this end, the analytic hierarchy process (AHP) was used as a decision-making technique and the targeted snowball sampling method was used for sampling. In the qualitative stage, factors were extracted from open interviews with 15 academic experts active in the field of sustainable development and experts in the dairy industry. The social dimension with a weight of 0.493 was recognized as the most important dimension of the sustainable supply chain according to the researchers and experts in the dairy industry. After that, the economic dimension with a weight of 0.314 was in the second rank, and finally, the environmental dimension with a weight of 0.193 was third in rank.
Arampantzi, C., & Minis, I. (2017). A new model for designing sustainable supply chain networks and its application to a global manufacturer. Journal of Cleaner Production, 156, 276-292.
Aydiner, C., Sen, U., Koseoglu-Imer, D. Y., & Dogan, E. C. (2016). Hierarchical prioritization of innovative treatment systems for sustainable dairy wastewater management. Journal of Cleaner Production, 112, 4605-4617.
Behzadi, G., O'Sullivan, M. J., Olsen, T. L., Scrimgeour, F., & Zhang, A. (2017). Robust and resilient strategies for managing supply disruptions in an agribusiness supply chain. International Journal of Production Economics, 191, 207-220.
Bloemhof, J. M., & Soysal, M. (2017). Sustainable food supply chain design. In Sustainable Supply Chains (pp. 395-412): Springer.
Brandenburg, M., & Rebs, T. (2015). Sustainable supply chain management: A modeling perspective. Annals of Operations Research, 229(1), 213-252.
Chung, S. H., & Kwon, C. (2016). Integrated supply chain management for perishable products: Dynamics and oligopolistic competition perspectives with application to pharmaceuticals. International Journal of Production Economics, 179, 117-129.
Corbin, J., & Strauss, A. (2014). Basics of qualitative research: Techniques and procedures for developing grounded theory: Sage publications.
Dellino, G., Laudadio, T., Mari, R., Mastronardi, N., & Meloni, C. (2018). A reliable decision support system for fresh food supply chain management. International Journal of Production Research, 56(4), 1458-1485.
Dutta, P., & Shrivastava, H. (2020). The design and planning of an integrated supply chain for perishable products under uncertainties. Journal of Modelling in Management.
Ehsani, A., & Mehrmanesh, H. (2021). A Conceptual Model for Evaluation the Impact Factors Affecting Organizational Performance in Supply Chain. Journal of System Management, 6(4), 269-294.
Eskandarpour, M., Dejax, P., Miemczyk, J., & Péton, O. (2015). Sustainable supply chain network design: An optimization-oriented review. Omega, 54, 11-32. doi:https://doi.org/10.1016/j.omega.2015.01.006
Hadizadeh Andvari, M. (2015). Assessing the supply chain sustainability in the dairy industry in Mazandaran province. . (Master's thesis. ), Allameh Tabatabaei University, Tehran.
Hiassat, A., Diabat, A., & Rahwan, I. (2017). A genetic algorithm approach for location-inventory-routing problem with perishable products. Journal of manufacturing systems, 42, 93-103.
Jakhar, S. K. (2014). Designing the green supply chain performance optimisation model. Global Journal of Flexible Systems Management, 15(3), 235-259.
Jouzdani, J., & Govindan, K. (2021). On the sustainable perishable food supply chain network design: A dairy products case to achieve sustainable development goals. Journal of Cleaner Production, 278, 123060. doi:https://doi.org/10.1016/j.jclepro.2020.123060
Khaledi, M., Asgari, Neda (2016). Identify and prioritize supply issues in the Iranian dairy industry with an emphasis on logistics. Iranian Agricultural Economics Conference. Iranian Association of Economics and Agriculture, Shahid Bahonar University of Kerman.
Kovačić, D., Hontoria, E., Ros-McDonnell, L., & Bogataj, M. (2015). Location and lead-time perturbations in multi-level assembly systems of perishable goods in Spanish baby food logistics. Central European journal of operations research, 23(3), 607-623.
La Scalia, G., Nasca, A., Corona, O., Settanni, L., & Micale, R. (2017). An innovative shelf life model based on smart logistic unit for an efficient management of the perishable food supply chain. Journal of Food Process Engineering, 40(1), e12311.
Mangla, S. K., Kumar, P., & Barua, M. K. (2015). Risk analysis in green supply chain using fuzzy AHP approach: A case study. Resources, Conservation and Recycling, 104, 375-390.
Manouchehri, F., Nookabadi, A. S., & Kadivar, M. (2020). Production routing in perishable and quality degradable supply chains. Heliyon, 6(2), e03376.
Mathivathanan, D., Govindan, K., & Haq, A. N. (2017). Exploring the impact of dynamic capabilities on sustainable supply chain firm's performance using Grey-Analytical Hierarchy Process. Journal of cleaner production, 147, 637-653.
Musavi, M., & Bozorgi-Amiri, A. (2017). A multi-objective sustainable hub location-scheduling problem for perishable food supply chain. Computers & Industrial Engineering, 113, 766-778.
Panigrahi, S. S., Bahinipati, B., & Jain, V. (2019). Sustainable supply chain management: a review of literature and implications for future research. Management of Environmental Quality: An International Journal.
Rostamzadeh, R., Ghorabaee, M. K., Govindan, K., Esmaeili, A., & Nobar, H. B. K. (2018). Evaluation of sustainable supply chain risk management using an integrated fuzzy TOPSIS-CRITIC approach. Journal of Cleaner Production, 175, 651-669.
Safaei Ghadikolaei, A. C., Fatemeh Mohammadnejad (2015). Explain a framework for evaluating the sustainability of the food supply chain using the fuzzy network analysis process (Case study: selected companies producing meat products in Mazandaran province). 6(3), 554-535.
Seuring, S., & Müller, M. (2008). From a literature review to a conceptual framework for sustainable supply chain management. Journal of cleaner production, 16(15), 1699-1710.
Sgarbossa, F., & Russo, I. (2017). A proactive model in sustainable food supply chain: Insight from a case study. International Journal of Production Economics, 183, 596-606.
Smith, B. K., Nachtmann, H., & Pohl, E. A. (2012). Improving healthcare supply chain processes via data standardization. Engineering Management Journal, 24(1), 3-10.
Soltani, H. (2018). Providing a Model for Financing the Buyer and Supplier in the Supply Chain of Mehrvarzan Healthcare Products Distributor. Journal of System Management, 4(2), 11-24.
Touboulic, A., & Walker, H. (2015). Theories in sustainable supply chain management: a structured literature review. International Journal of Physical Distribution & Logistics Management.
Tseng, M., Lim, M., & Wong, W. P. (2015). Sustainable supply chain management. Industrial Management & Data Systems.
Zhao, R., Liu, Y., Zhang, N., & Huang, T. (2017). An optimization model for green supply chain management by using a big data analytic approach. Journal of Cleaner Production, 142, 1085-1097.
Zhu, Q., Feng, Y., & Choi, S.-B. (2017). The role of customer relational governance in environmental and economic performance improvement through green supply chain management. Journal of Cleaner Production, 155, 46-53.