Implications for sustainability in supply chain management and the circular economy using machine learning model
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Implications for sustainability in supply chain management and the circular economy using machine learning model Dongling Wang1,2 · Yuming Zhang2 Received: 26 April 2020 / Revised: 25 June 2020 / Accepted: 30 August 2020 © Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract The definition of “Industry 4.0” would contribute to that distributed manufacturing systems, real-time information and inevitably a lot more product information. In this case, the optimization of capabilities goes beyond the conventional goal often adds to the competitiveness and efficiency of the company. Lean management and continuous development strategies, in turn, suggest an enhancement rather than maximization of energy. Furthermore, the analysis of Power Optimization and Costing Models is an important area of research that needs functional theoretical feedback. Hence in this paper, a statistical approach for power control based upon multiple costing frameworks using a machine learning model (SCM–MLM) has been designed and developed for power optimization and cost factor. This paper introduces and addresses a generalized model that has been built to evaluate idleness and create techniques to optimize the profitability of the enterprise. The maximization of tradeoff capacity against organizational performance is demonstrated and it is seen to be organizational inefficiency by power optimization has been validated in this paper. Keywords Sustainability · Supply chain management · Machine learning model · Maximization of energy
1 Introduction The circular economy (Welfens et al. 2017) named circularity is one of the effective economic systems that used to reduce the waste and continuous usage of resources (Gao et al. 2019; Levering and Vos 2019; Abdel-Basset et al. 2019). The circular economy helps to maintain the resource usage, reuse, remanufacturing, repair, * Dongling Wang [email protected] 1
Business School of Shandong Jianzhu University, Shandong Jianzhu University, Jinan 250001, Shandong, China
2
Management School of Shandong University, Shandong University, Jinan 250001, Shandong, China
13
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D. Wang, Y. Zhang
sharing, refurbishment and recycling the resources. So, the main intention of the circular economy (Zeng et al. 2017) is to maintain the products, infrastructure, and equipment in long used to improve resource productivity. Even though the circular economy manages the resource usage and controls the waste, it has to be sustainable without compromising the quality of the customer requirements because the industry should go towards the profit while manufacturing the products (Su et al. 2013). For attaining the above resource quality-related issues, the supply chain (Abdel-Basset et al. 2018; Yamoah 2019; Kaur et al. 2017; Lee and Vachon 2016) has been utilized in the industries because it helps to collect the resources, activities, information, and people about service or products. More ever, the supply chain process arranges the different raw materials and natural resource
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