Abstract
An important part of a successful supply chain is the end user, as customer satisfaction is at the heart of every chain. Due to the interconnected nature of the processes, a change in one link will affect the others. Communication and information flow between processes is both dynamic and constantly changing. There is no one-size-fits-all supply chain model as supply chain architecture must be customized for each organization or industry. Every supply chain should be structured according to these two principles, but there is no such thing as a global supply chain. A comprehensive analysis should include all relevant features or elements. Integration requires the creation and processing of all necessary information for the coordination of all parties involved. The Internet of Things (IoT) and related advancements such as cloud computing, basic digital, smart workstations and artificial intelligence have seen unprecedented changes in recent years, especially within the enterprise. The benefits of integrating digital technology throughout the supply chain are easy to see: lower costs, operational flexibility, more accurate forecasting, customer satisfaction, etc. Due to these challenges, companies must plan to adopt digital strategies if they want to maintain their edge in the market. Solving the problems created by modern technological developments requires significant investments in time, money and resources. Before deciding to use advanced technology in a smart and connected supply chain, a company must first demonstrate its readiness by carefully analyzing the supply chain for each connected component. In fact, the commitment to continuous improvement has digitized the supply chain and evolved into a system of intelligent and integrated communication. While the technical barriers to automated monitoring are slowly disappearing, leading to significant cost reductions, the uniqueness of IoT lies in its widespread use. The concept of “Internet of Things” (IoT) involves connecting devices so that they can share data, learn from each other, analyze data and evaluate important decisions. Supply chain efficiency is a major issue in the manufacturing and logistics industry. The main objective of this study is to investigate the key factors affecting IoT-based smart processing for environmentally responsible supply chain. A survey part is conducted with closed questionnaires, this method was used to obtain data from a group consisting of network administrators, senior managers, network security experts, system analysts, etc. We were able to collect data from 129 randomly selected participants.
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Meena, S., Girija, T. (2023). A Study in Analysing the Critical Determinants of Internet of Things (IoT) Based Smart Processing for Sustainable Supply Chain Management. In: Mercier-Laurent, E., Fernando, X., Chandrabose, A. (eds) Computer, Communication, and Signal Processing. AI, Knowledge Engineering and IoT for Smart Systems. ICCCSP 2023. IFIP Advances in Information and Communication Technology, vol 670. Springer, Cham. https://doi.org/10.1007/978-3-031-39811-7_23
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