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Smart manufacturing supply chain process strategy using intelligent computation techniques
https://orcid.org/http://orcid.org/0000-0002-4330-0033
Advancement of intelligent and computational techniques like internet of things (IoT), machine learning (ML), artificial intelligence (AI), blockchain etc., gradually transforming the existing traditional manufacturing process to a smart process by developing a heterogeneous distributed environment. Considering the lack of transparency in the present manufacturing system with respect to information traceability of products, this paper discusses the IoT, ML and blockchain-based product traceability system. Two uses cases are considered in this study: market demand and buyers’ priority-based manufacturing process. To start with the market demand-based manufacturing process, ML algorithms are framed to forecast the market demand of the product and to predict the supplier’s profitability. Based on the prediction, the manufacturing process starts, and all the stakeholders (manufacturing organizations, shipping companies, dealers, and consumers) involved in the supply chain process engages in product information certification via blockchain. The paper also validates that with the implementation of blockchain, even the end user of the product knows the product manufacturing process and can effectively tracks the product information like quality of the material out of which the product is made, product delivery period, warranty, etc.
Smart manufacturing supply chain process strategy using intelligent computation techniques
https://orcid.org/http://orcid.org/0000-0002-4330-0033
Advancement of intelligent and computational techniques like internet of things (IoT), machine learning (ML), artificial intelligence (AI), blockchain etc., gradually transforming the existing traditional manufacturing process to a smart process by developing a heterogeneous distributed environment. Considering the lack of transparency in the present manufacturing system with respect to information traceability of products, this paper discusses the IoT, ML and blockchain-based product traceability system. Two uses cases are considered in this study: market demand and buyers’ priority-based manufacturing process. To start with the market demand-based manufacturing process, ML algorithms are framed to forecast the market demand of the product and to predict the supplier’s profitability. Based on the prediction, the manufacturing process starts, and all the stakeholders (manufacturing organizations, shipping companies, dealers, and consumers) involved in the supply chain process engages in product information certification via blockchain. The paper also validates that with the implementation of blockchain, even the end user of the product knows the product manufacturing process and can effectively tracks the product information like quality of the material out of which the product is made, product delivery period, warranty, etc.
Smart manufacturing supply chain process strategy using intelligent computation techniques
https://orcid.org/http://orcid.org/0000-0002-4330-0033
Advancement of intelligent and computational techniques like internet of things (IoT), machine learning (ML), artificial intelligence (AI), blockchain etc., gradually transforming the existing traditional manufacturing process to a smart process by developing a heterogeneous distributed environment. Considering the lack of transparency in the present manufacturing system with respect to information traceability of products, this paper discusses the IoT, ML and blockchain-based product traceability system. Two uses cases are considered in this study: market demand and buyers’ priority-based manufacturing process. To start with the market demand-based manufacturing process, ML algorithms are framed to forecast the market demand of the product and to predict the supplier’s profitability. Based on the prediction, the manufacturing process starts, and all the stakeholders (manufacturing organizations, shipping companies, dealers, and consumers) involved in the supply chain process engages in product information certification via blockchain. The paper also validates that with the implementation of blockchain, even the end user of the product knows the product manufacturing process and can effectively tracks the product information like quality of the material out of which the product is made, product delivery period, warranty, etc.
Smart manufacturing supply chain process strategy using intelligent computation techniques
Int J Interact Des Manuf
Vijayapriya, R. (author) / Arun, S. L. (author) / Vengatesan, K. (author) / Samee, Sayyad (author)
2025-02-01
14 pages
Article (Journal)
Electronic Resource
English
Blockchain , Manufacturing , IoT , ML , Supply Chain Information and Computing Sciences , Artificial Intelligence and Image Processing , Engineering , Manufacturing Engineering , Engineering, general , Engineering Design , Mechanical Engineering , Computer-Aided Engineering (CAD, CAE) and Design , Electronics and Microelectronics, Instrumentation , Industrial Design
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