期刊
JOURNAL OF CLEANER PRODUCTION
卷 202, 期 -, 页码 649-665出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2018.08.151
关键词
Energy efficient production planning; Microgrid; Mixed integer linear programming; Robust optimization; Conditional value at risk; Job-shop manufacturing system; Lot-sizing
This paper is the first to introduce the concept of Smart Energy-Efficient Production-Planning (SEEPP) for a general Job-Shop manufacturing system in the presence of Grid-connected Microgrid with wind power generation. To cope with the unpredictability of wind speed and the uncertainties of demands, a novel risk-based Robust Mixed Integer Linear Programming (RMILP) model is mathematically formulated. The last aim of the model is to minimize the total day-ahead cost of the system considering peak demand charge. The results show the capability of the proposed integrated framework to obtain a constructive trade-off between scenario-based cost deviations, and heat and power imbalances considering the attitude of Decision Makers (DMs) toward risk. The results further indicate that the proposed SEEPP concept is able to produce products with at least 1.95% less cost than conventional manufacturing systems, although it supports a much wider range of demands for products. The performance of the model is analyzed and evaluated in terms of accuracy, robustness, and computational efficiency. (C) 2018 Elsevier Ltd. All rights reserved.
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