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- Title
Energy-Efficient Production Planning Using a Two-Stage Fuzzy Approach.
- Authors
Wu, Hsin-Chieh; Tsai, Horng-Ren; Chen, Tin-Chih Toly; Hsu, Keng-Wei; Gerogiannis, Vassilis C.; Roldán López de Hierro, Antonio Francisco
- Abstract
Analyzing energy consumption is an important task for a factory. In order to accomplish this task, most studies fit the relationship between energy consumption and product design features, process characteristics, or equipment types. However, the energy-saving effects of product yield learning are rarely considered. To bridge this gap, this study proposes a two-stage fuzzy approach to estimate the energy savings brought about by yield improvement. In the two-stage fuzzy approach, a fuzzy polynomial programming approach is first utilized to fit the yield-learning process of a product. Then, the relationship between monthly electricity consumption and increase in yield was fit to estimate the energy savings brought about by the improvement in yield. The actual case of a dynamic random-access memory factory was used to illustrate the applicability of the two-stage fuzzy approach. According to the experiment results, product yield learning can greatly reduce electricity consumption.
- Subjects
PRODUCTION planning; ELECTRIC power consumption; ENERGY consumption; CONSUMPTION (Economics); PRODUCT design; COMMERCIAL buildings
- Publication
Mathematics (2227-7390), 2021, Vol 9, Issue 10, p1101
- ISSN
2227-7390
- Publication type
Article
- DOI
10.3390/math9101101