
Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 11, 2024
Language: Английский
Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 11, 2024
Language: Английский
Sustainability, Journal Year: 2024, Volume and Issue: 16(16), P. 7110 - 7110
Published: Aug. 19, 2024
Nowadays, integrating Artificial Intelligence (AI) into supply chains (SCs) is a great challenge in research and for manufacturing managers. The main goal of this study to determine the role AI context new SCs, according concept Industry 5.0. order improve level sustainable production. was based on systematic analysis scientific literature application PRISMA methodology. Due relatively vision introducing SC, it decided analyse years 2021–2024. A total 1181 articles were identified Science Direct, Springer Willey Online Library that combined AI-based methods tools support SCs identify impacts challenges production (SP). In study, 48 items then analysed detail. results achieved highlighted applied and, secondly, revealed benefits integration following areas manufacturing: predictive maintenance, planning customer relationships. findings our directions: (1) digitalisation green SP build resilience SP, (2) create work environment, (3) develop advanced architecture relationships with customers.
Language: Английский
Citations
1Sustainability, Journal Year: 2024, Volume and Issue: 16(15), P. 6296 - 6296
Published: July 23, 2024
Enterprises adopting a circular economy approach can effectively solve the severe situation of resources and environment, recycling is considered an effective means to environmental issues. Simultaneously, blockchain technology (BT) has been used enhance product quality trust. However, there limited literature on how choose between monopolistic competitive modes by considering BT. This paper uses game involving manufacturer, retailer, third-party recycler (TPR) in closed-loop supply chain (CLSC). The retailer recycle itself compete with TPR for products. results show that BT adoption could increase rate demand remanufactured benefits firms CLSC when they control usage costs, regardless whether mode or not. In addition, adopted not, prefer only intensity exceeds specific threshold. Moreover, choosing appropriate alleviate negative impact then all-win result be obtained firms, consumers, society. These give suggestions managers optimize their chains regarding implementing mode. future, we expand our research transfer price products, positive effects BT, cost-sharing strategies.
Language: Английский
Citations
1Discover Sustainability, Journal Year: 2024, Volume and Issue: 5(1)
Published: June 6, 2024
Abstract A large number of nodes, and significant system overhead are among the challenges. To tackle these problems, a new PBFT technique known as trace-PBFT (t-PBFT) is being contemplated for adoption in food supply chain. The algorithm, short Practical Byzantine Fault Tolerance, serves fundamental algorithm. linkages throughout chain may be categorized into three primary groups. As response to continuing discussion over amount data, status each node continuously updated real time. This metric utilized evaluate dependability principal analyze overall performance nodes. minimize data transmitted between we optimized consensus process first distinct attributes offering collaborative technology were considered this procedure. Experimental evidence indicates that t-PBFT approach outperforms algorithm terms throughput, request delay, information overhead. An architectural paradigm proposed by integrating with federated network. model was developed demands effectively captures at stage ensure tracking while preserving safety flow process.
Language: Английский
Citations
0Published: Jan. 1, 2024
Language: Английский
Citations
0Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 11, 2024
Language: Английский
Citations
0