Modelling relationships between agility, lean, resilient, green practices in cold supply chains using ISM approach
Abstract
This study aims at identifying the key agile, lean, resilient and green practices that influence capability of cold supply chain (CSC) using Interpretive Structural Modelling (ISM) technique. Various measures of lean, green, resilient, and agile practices in CSC were identified from previous studies and experts’ opinions. Contextual relationships between practice measures were established via brainstorming session. Measures were then classified based on their driving and dependence powers. The results showed that measures of lean, green, resilient, and agile practices in CSC can be organized in a six-level structural model. Moreover, highly dependent measures at top level in CSC model are operational costs and customer satisfaction, whereas the highly driving at most bottom level of this model are ISO 14001 implementation and government support system for green cold supply chain. Validity of CSC model was assessed in three CSC firms; food, pharmaceutical, and Third Party logistics firms. In conclusion, measures emerging with higher driving power and those with high dependence in ISM hierarchy contribute significantly to enhancing capability of CSC. The proposed ISM may support decision makers in prioritization improvement efforts and achieving effective CSC.
Keyword : lean, green, resilient, agile, cold supply chain, interpretive structural modelling
How to Cite
Al-Refaie, A., Al-Tahat, M., & Lepkova, N. (2020). Modelling relationships between agility, lean, resilient, green practices in cold supply chains using ISM approach. Technological and Economic Development of Economy, 26(4), 675-694. https://doi.org/10.3846/tede.2020.12866
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
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Sage, A. (1977). Interpretive structural modeling: Methodology for large scale systems. McGraw-Hill.
Svensson, G. (2010). Teleological approaches in supply chain management: illustrations. Supply Chain Management: An International Journal, 15(1), 16–20. https://doi.org/10.1108/13598541011018094
Taghikhah, F., Voinov, A., & Shukla, N. (2019). Extending the supply chain to address sustainability. Journal of Cleaner Production, 229, 652–666. https://doi.org/10.1016/j.jclepro.2019.05.051
Tang, C. (2006). Robust strategies for mitigating supply chain disruptions. International Journal of Logistics-Research and Applications, 9(1), 33–45. https://doi.org/10.1080/13675560500405584
Taylor, D. (2006). Global cases in logistics and supply chain management. Thompson, South Western, USA.
Zhu, Q., Sarkis, J., & Lai, K. (2008). Green supply chain management implications for “closing the loop”. Transport Research Part E, 44(1), 1–18. https://doi.org/10.1016/j.tre.2006.06.003
Zobel, C. (2011). Representing perceived tradeoffs in defining disaster resilience. Decision Support Systems, 50(2), 394–403. https://doi.org/10.1016/j.dss.2010.10.001
Blanchard, D. (2007). Supply chain management best practices. John Wiley & sons, Inc.
Balaji, M., Velmurugan, V., Prapa, M., & Mythily, V. (2016). A fuzzy approach for modeling and design of agile supply chains using interpretive structural modeling. Jordan Journal of Mechanical and Industrial Engineering, 10(1), 67–74.
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. https://doi.org/10.1016/j.ijpe.2017.06.018
Bicocchi, N., Cabri, G., Mandreoli, F., & Mecella, M. (2019). Dynamic digital factories for agile supply chains: An architectural approach. Journal of Industrial Information Integration, 15, 111–121. https://doi.org/10.1016/j.jii.2019.02.001
Bogataj, M., Bogataj, L., & Vodopivec, R. (2005). Stability of perishable goods in cold logistic chains. International Journal of Production Economics, 93–94(8), 345–356. https://doi.org/10.1016/j.ijpe.2004.06.032
Bogataj, D., Bogataj, M., & Hudoklin, D. (2017). Mitigating risks of perishable products in the cyberphysical systems based on the extended MRP model. International Journal of Production Economics, 193, 51–62. https://doi.org/10.1016/j.ijpe.2017.06.028
Cabral, I., Grilo, A., & Cruz-Machado, V. (2015). A decision-making model for Lean, Agile, Resilient and Green supply chain management. International Journal of Production Research, 50(17), 4830–4845. https://doi.org/10.1080/00207543.2012.657970
Carvalho, H., Duarte, S., & Cruz-Machado, V. (2011). Lean, agile, resilient and green: divergencies and synergies. International Journal of Lean Six Sigma, 2(2), 151–179. https://doi.org/10.1108/20401461111135037
Carvalho, H., Maleki, M., & Cruz-Machado, V. (2012). The links between supply chain disturbances and resilience strategies. International Journal of Agile Systems and Management, 5(3), 203–234. https://doi.org/10.1504/IJASM.2012.047653
Chien, M. K., & Shih, L. H. (2007). Relationship between Management Practice and Organization Performance under European union directives such as ROHS, a case study on the Electrical and Electronics industry in Taiwan. African journal of Environmental Science and Technology, 1(3), 37–48.
Ehsan, K., Tayyebeh, A., Ahmad, E., & Tamošaitienė, J. (2016). The effect of green supply chain management practices on environmental performance and competitive advantage: a case study of the cement industry. Technological and Economic Development of Economy, 22(2), 293–308. https://doi.org/10.3846/20294913.2015.1065521
Espadinha-Cruz, P., Grilo, A., & Cruz-Machado, V. (2012). Fuzzy evaluation model to assess interoperability in LARG Supply Chains. In 9th International Conference on Fuzzy Systems and Knowledge Discovery, (pp. 75–79). Sichuan. https://doi.org/10.1109/FSKD.2012.6234169
Gao, J., Xiao, Z., Wei, H., & Zhou, G. (2018). Active or passive? Sustainable manufacturing in the directchannel green supply chain: A perspective of two types of green product designs. Transportation Research Part D, 65, 332–354. https://doi.org/10.1016/j.trd.2018.09.007
Govindan, K., Azevedo, S. G., Carvalho, H., & Cruz-Machado, V. (2015). Lean, green and influence on supply chain performance: interpretive structural modeling approach. International Journal of Environmental Science and Technology, 12, 15–34. https://doi.org/10.1007/s13762-013-0409-7
Hsu, C. W., & Hu, A. H. (2008). Green supply chain management in the electronic industry. International Journal of Science and Technology, 5(2), 205–216. https://doi.org/10.1007/BF03326014
Holweg, M. (2007). The genealogy of lean production. Journal of Operation Management, 25(2), 420– 437. https://doi.org/10.1016/j.jom.2006.04.001
Iakovou, E., Vlachos, D., & Xanthopoulos, A. (2007). An analytical methodological framework for the optimal design of resilient supply chains. International Journal of Logistics Economics and Globalisation, 1(1), 1–20. https://doi.org/10.1504/IJLEG.2007.014498
Khidir, T., Tayeb, E., Zailani, S., & Jayaraman, K. (2010). The examination on the drivers for green purchasing adoption among EMS 14001 certified companies in Malaysia. Journal of Manufacturing Technology Management, 21(2), 206–225. https://doi.org/10.1108/17410381011014378
Kumar, N., Kumar, S., Haleem, A., & Gahlot, P. (2013). Implementing lean manufacturing system: ISM approach. Journal of Industrial Engineering and Management, 6(4), 996–1012. https://doi.org/10.3926/jiem.508
Luthra, S., Kumar, V., Kumar, S., &Haleem, A. (2011). Barriers to implement green supply chain management in automobile industry using interpretive structural modeling technique-An Indian perspective. Journal of Industrial Engineering and Management, 4(2), 231–257. https://doi.org/10.3926/jiem.2011.v4n2.p231-257
Martínez-Jurado, P. J., & Moyano-Fuentes, J. (2014). Lean management, supply chain management and sustainability: A literature review. Journal of Cleaner Production, 85, 134–150. https://doi.org/10.1016/j.jclepro.2013.09.042
Mejjaouli, S., & Babiceanu, R. F. (2018). Cold supply chain logistics: System optimization for real-time rerouting transportation solutions. Computers in Industry, 95, 68–80. https://doi.org/10.1016/j.compind.2017.12.006
Paauwe, J. (2009). HRM and performance: Achievement, methodological issues and prospects. Journal of Management Studies, 46(1). https://doi.org/10.1111/j.1467-6486.2008.00809.x
Raut, R. D., Gardas, B. B., Narwane, V. S., & Narkhede, B. E. (2019). Improvement in the food losses in fruits and vegetable supply chain-a perspective of cold third-party logistics approach. Operations Research Perspectives, 6, 100–117. https://doi.org/10.1016/j.orp.2019.100117
Ruiz-Benitez, R., López, C., & Real, J. C. (2017). Environmental benefits of lean, green and resilient supply chain management: The case of the aerospace sector. Journal of Cleaner Production, 167, 850–862. https://doi.org/10.1016/j.jclepro.2017.07.201
Sage, A. (1977). Interpretive structural modeling: Methodology for large scale systems. McGraw-Hill.
Svensson, G. (2010). Teleological approaches in supply chain management: illustrations. Supply Chain Management: An International Journal, 15(1), 16–20. https://doi.org/10.1108/13598541011018094
Taghikhah, F., Voinov, A., & Shukla, N. (2019). Extending the supply chain to address sustainability. Journal of Cleaner Production, 229, 652–666. https://doi.org/10.1016/j.jclepro.2019.05.051
Tang, C. (2006). Robust strategies for mitigating supply chain disruptions. International Journal of Logistics-Research and Applications, 9(1), 33–45. https://doi.org/10.1080/13675560500405584
Taylor, D. (2006). Global cases in logistics and supply chain management. Thompson, South Western, USA.
Zhu, Q., Sarkis, J., & Lai, K. (2008). Green supply chain management implications for “closing the loop”. Transport Research Part E, 44(1), 1–18. https://doi.org/10.1016/j.tre.2006.06.003
Zobel, C. (2011). Representing perceived tradeoffs in defining disaster resilience. Decision Support Systems, 50(2), 394–403. https://doi.org/10.1016/j.dss.2010.10.001