Abstract
With the increasing importance and innovation of technology in recent years, smart manufacturing has been able to give significantly greater work efficiency and productivity. As the current industrial system transitions into a new era of sustainability and digitalization, it is important to note that the significance of sustainability, digitization, and smart manufacturing, should be considered in production plants and units. Sustainable development and energy efficiency are projected to be important objectives in the design and implementation of smart factories. Various multiple criteria decision-making (MCDM) methodology have been used and utilized in industry-academic works to attain sustainability and operation goals. Intelligent manufacturing technologies have increased the efficiency and sustainability of various renewable energy sources with significant market shares. However, bioenergy and low-carbon energies have a limited number of applications in this context. Due of the various time scales, production rates, and process dynamics, existing smart manufacturing technologies, the role of smart factory may vary for big production house to small production units. However, the role of research, data, and modified decision science methodologies are highly effective in this context. This study will examine various aspects of smart manufacturing applications, measuring their impact on energy efficiency and exploring several multiple criteria decision-making techniques that have been developed for evaluating and comparing the energy efficiency of smart manufacturing applications.
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Jha, C.K. (2022). Evaluation of Energy Efficiency for Smart Manufacturing: Applications and Future Scopes. In: Fathi, M., Zio, E., Pardalos, P.M. (eds) Handbook of Smart Energy Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-72322-4_156-1
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DOI: https://doi.org/10.1007/978-3-030-72322-4_156-1
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