SUPPLY CHAIN COMPLEXITY: THE PARANOMA EFFECT
Abstract
This research examines the concept of supply chain complexity and evaluates how effectively current supply chain management strategies deal with it, encompassing processes, resources, and data. Extensive research was conducted on managing supply chain complexity. Research indicates that supply chain management efforts assist companies in navigating the intricacies of their supply networks by managing interactions and reducing uncertainty. Regarding the management of supply chain complexity, the poll findings highlight the key abilities that should be prioritised. Furthermore, current approaches, methods, and technologies in supply chain management are effective in managing supply chain complexities. Further, it lays the groundwork for studies that will focus on supply chain complexity management in the future.
References
Bozarth, C. C., Warsing, D. P., Flynn, B. B., & Flynn, E. J. (2009). The impact of supply chain complexity on manufacturing plant performance. Journal of Operations Management, 27(1), 78–93.
Fawcett, S. E., Fawcett, A. M., Watson, B. J., & Magnan, G. M. (2012). Peking inside the black box: toward an understanding of supply chain collaboration dynamics. Journal Supply Chain Manage, 48(1), 44-72.
Isik, F. (2010). An entropy-based approach for measuring complexity in supply chains, International Journal of Production Research, 48 (12), 3681-3696.
Isik, F., (2011). Complexity in supply chains: A new approach to quantitative measurement of the supply chain complexity. Supply Chain Management, 184-188.
Jones, A.T., Romero, D., Wuest, T. (2018) Modeling agents as joint cognitive systems in smart manufacturing systems. Manufacturing Letters, 17, 6-8.
Karlinsky, N. (2019). How artificial intelligence helps Amazon deliver. Amazon News, June 5, 2019. https://www.aboutamazon.com/news/innovation-atamazon/how-artificial-intelligence-helps-amazondeliver
Kembro, J., Selviaridis, K., & Näslund, D. (2014). Theoretical perspectives on information sharing in supply chains: a systematic literature review and conceptual framework. Supply Chain Management: An International Journal 19 (5/6), 609-625.
Lara, C. L., Koenemann, J., Nie, Y., & de Souza, C. C. (2022). Scalable timing-aware network design via Lagrangian Decomposition. Submitted for publication.
Ni, D., Xiao, Z., & Lim, M. K. (2020). A systematic review of the research trends of machine learning in supply chain management. Int. J. Mach. Learn. & Cyber. 11, 1463–1482.
Piya, S., Shamsuzzoha, A., & Khadem, M. (2020). An approach for analysing supply chain complexity drivers through interpretive structural modelling. International Journal of Logistics Research and Applications, 23(4), 311-336.
Singh, N., Lai, K., & Cheng, T. C. E. (2007). Intra-organizational perspectives on IT-enabled supply chains. Communications of the ACM, 50(1), 59-65.
Sivadasan, S., Efstathiou, J., Frizelle, G., Shirazi, R., & Calinescu, A. (2002a). An information-theoretic methodology for measuring the operational complexity of supplier-customer systems. International Journal of Operations and Production Management, 22(1), 80-102.
Sivadasan, S., Efstathiou, J., Shirazi, R., Alves, J., Frizelle, G., & Calinescu, A. (1999). Information complexity as a determining factor in the evolution of supply chains. Proceedings of the International Workshop on Emergent Synthesis, Kobe, Japan, 237-242.
SupplyChainWorld (2015). The Dow Chemical Company. SupplyChainWorld. https://scw-mag.com/profiles/536-the-dow-chemical-company/
US Department of Commerce Retail Indicator Division (2022). Quarterly Retail E-Commerce Sales 4th Quarter 2021. United States Census Bureau.
Wassick, J. M. (2009). Enterprise-wide optimization in an integrated chemical complex. Computers & Chemical Engineering 33(12), 1950-1963.
Wenzel, H., Smit, D., & Sardesai, S. (2019). A literature review on machine learning in supply chain management, In: Kersten, Wolfgang Blecker, Thorsten Ringle, Christian M. (Ed.): Artificial Intelligence and Digital Transformation in Supply Chain Management: Innovative Approaches for Supply Chains. Proceedings of the Hamburg International Conference of Logistics (HICL), Vol. 27, ISBN 978-3-7502-4947-9, epubli GmbH, Berlin, pp. 413-441.
Xu, P. (2005). Order Fulfillment in online retailing: what goes where. Ph.D. thesis, MIT, Cambridge, MA.
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