2692-2967ISSN (Online)
2770-0216ISSN (Print)
Volume 0 , Issue 2 , PP: 83-89, 2019 | Cite this article as | XML | Html | PDF | Full Length Article
Rehab Mohamed 1 * , Mahmoud Ismail 2
In today’s ever-changing world the ability of supply chains to withstand disruptions is crucial for businesses to maintain operations. This paper focuses on supply chain resilience, from an Operations Research perspective exploring how theoretical frameworks and practical applications work together to strengthen supply chains against events. By analyzing a dataset related to Makeup product supply chains this study demonstrates the effectiveness of Long Short-Term Memory (LSTM) networks in capturing time patterns and highlights the importance of data normalization in improving accuracy. Comparing models trained on normalized and unnormalized data provides insights into the significance of preprocessing techniques in predicting outcomes within the Fashion and Beauty industry. Additionally, this study combines theory with real-world case studies underscoring the importance of risk management, adaptive decision-making, and resilient network design. With the integration of methodological consistency, and applicability, we demonstrate the significance of our approach in sustaining supply chain resilience against disruptive events.
Operation Research , Supply Chain , Business Intelligence , Operational Management , Decision-Making.
[1] Ambulkar, S., Blackhurst, J., & Grawe, S. (2015). Firm's resilience to supply chain disruptions: Scale development and empirical examination. Journal of operations management, 33, 111-122.
[2] Ponis, S. T., & Koronis, E. (2012). Supply Chain Resilience? Definition of concept and its formative elements. The journal of applied business research, 28(5), 921-935.
[3] Namdar, J., Li, X., Sawhney, R., & Pradhan, N. (2018). Supply chain resilience for single and multiple sourcing in the presence of disruption risks. International Journal of Production Research, 56(6), 2339-2360.
[4] Bakshi, N., & Kleindorfer, P. (2009). Co‐opetition and investment for supply‐chain resilience. Production and Operations Management, 18(6), 583-603.
[5] Ivanov, D., Dolgui, A., & Sokolov, B. (Eds.). (2019). Handbook of ripple effects in the supply chain (Vol. 276). New York: Springer.
[6] Kim, Y., Chen, Y. S., & Linderman, K. (2015). Supply network disruption and resilience: A network structural perspective. Journal of operations Management, 33, 43-59.
[7] Zhao, K., Zuo, Z., & Blackhurst, J. V. (2019). Modelling supply chain adaptation for disruptions: An empirically grounded complex adaptive systems approach. Journal of Operations Management, 65(2), 190-212.
[8] Alfarsi, F., Lemke, F., & Yang, Y. (2019). The importance of supply chain resilience: an empirical investigation. Procedia Manufacturing, 39, 1525-1529.
[9] Ambulkar, S., Blackhurst, J., & Grawe, S. (2015). Firm's resilience to supply chain disruptions: Scale development and empirical examination. Journal of operations management, 33, 111-122.
[10] Ponis, S. T., & Koronis, E. (2012). Supply Chain Resilience? Definition of concept and its formative elements. The journal of applied business research, 28(5), 921-935.
[11] Namdar, J., Li, X., Sawhney, R., & Pradhan, N. (2018). Supply chain resilience for single and multiple sourcing in the presence of disruption risks. International Journal of Production Research, 56(6), 2339-2360.
[12] Kim, Y., Chen, Y. S., & Linderman, K. (2015). Supply network disruption and resilience: A network structural perspective. Journal of operations Management, 33, 43-59.
[13] Klibi, W., Martel, A., & Guitouni, A. (2010). The design of robust value-creating supply chain networks: a critical review. European Journal of Operational Research, 203(2), 283-293.
[14] Barbosa-Póvoa, A. P., da Silva, C., & Carvalho, A. (2018). Opportunities and challenges in sustainable supply chain: An operations research perspective. European journal of operational research, 268(2), 399-431.
[15] Craighead, C. W., Blackhurst, J., Rungtusanatham, M. J., & Handfield, R. B. (2007). The severity of supply chain disruptions: design characteristics and mitigation capabilities. Decision sciences, 38(1), 131-156.
[16] Blackhurst*, J., Craighead, C. W., Elkins, D., & Handfield, R. B. (2005). An empirically derived agenda of critical research issues for managing supply-chain disruptions. International journal of production research, 43(19), 4067-4081.
[17] Rezapour, S., Farahani, R. Z., & Pourakbar, M. (2017). Resilient supply chain network design under competition: a case study. European journal of operational research, 259(3), 1017-1035.
[18] Ribeiro, J. P., & Barbosa-Povoa, A. (2018). Supply Chain Resilience: Definitions and quantitative modelling approaches–A literature review. Computers & industrial engineering, 115, 109-122.
Bode, C., & Wagner, S. M. (2015). Structural drivers of upstream supply chain complexity and the frequency of supply chain disruptions. Journal of Operations
