Analyzing the Impact of stock model Flexibility on Supply chain Resilience: A case study of the Executive 3-Echelon Multi-Levels
DOI:
https://doi.org/10.57067/cfrfkd07Keywords:
Supply chain resilience, stock model flexibility, sensitivity analysis, information visibility, collaboration, strategic planning, adaptability, sustainability,Abstract
This research paper provides a succinct overview of the study, which focuses on analyzing how the flexibility of stock models affects the resilience of supply chains, using the executive 3- Echelon multi-levels as a Case study. This research likely delves can enhance or hinder the ability of supply chains to withstand disruptions and uncertainties. The study demonstrates the significance of a balanced approach to supplier, manufacturer, and retailer flexibility. It provides Valuable insights and practical strategies to enhance supply chain resilience, ensuring organizations can thrive in today’s business environment.
References
Silver, E. A., Pyke, D. F., & Peterson, R. (1998). Inventory management and production
planning and scheduling (Vol. 3, p. 30). New York: Wiley.
Hillier, F. S., & Lieberman, G. J. (2014). edition 10. Introduction to operations research.
Chopra, S., & Meindl, P. (2007). Supply chain management. Strategy, planning & operation
(pp. 265-275). Gabler.
Christopher, M. (2022). Logistics and supply chain management. Pearson Uk.
Lee, H. L. (2004). The triple-A supply chain. Harvard business review, 82(10), 102-113.
Sheffi, Y. (2005). The resilient enterprise: overcoming vulnerability for competitive
advantage. Pearson Education India.
Barroso, A. P., Machado, V. H., Carvalho, H., & Machado, V. C. (2015). Quantifying the
supply chain resilience. Applications of contemporary management approaches in supply
chains, 13, 38.
Maharjan, R., & Kato, H. (2023). Logistics and Supply Chain Resilience of Japanese
Companies: Perspectives from Impacts of the COVID-19 Pandemic. Logistics, 7(2), 27.
Taha, H.A. (2016). Operations Research: An Introduction. Pearson.
Pinedo, M.L. (2016). Scheduling: Theory, Algorithms, and Systems. Springer.
Winston, W.L. (2004). Operations Research: Applications and Algorithms.
Bertsekas, D.P., & Tsitsiklis, J.N. (1996). Neuro-Dynamic Programming. Athena Scientific.
Simchi-Levi, D., Kaminsky, P., & Simchi-Levi, E. (2008). Designing and Managing the
Supply Chain: Concepts, Strategies, and Case Studies. McGraw-Hill.
van Hoek, R. (2019). The Handbook of Logistics and Distribution Management. Kogan Page.
Chopra, S., & Meindl, P. (2015). Supply Chain Management: Strategy, Planning, and
Operation. Pearson.
Narasimhan, R., & Nair, A. (2005). Building Theory of Supply Chain Management: A Step-
By-Step Approach. International Journal of Physical Distribution & Logistics Management.
Cohen, M.A., & Lee, H.L. (1988). Strategic Analysis of Integrated Production-Distribution
Systems: Models and Methods. Operations Research.
Ritzman, L.P., & Krajewski, L.J. (2018). Foundations of Operations Management. Pearson.
Disney, S.M., & Towill, D.R. (2002). On the Bullwhip and Inventory Proximity in Supply
Chains. Operations Research.
Wei-Shiun Chang, Yu-Ting Lin,The effect of lead-time on supply chain resilience
performance,Asia Pacific Management Review,Volume 24, Issue 4,2019,Pages 298-309,
Nahmias, S. (2014). Production and Operations Analysis. McGraw-Hill.
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