期刊
JOURNAL OF CLEANER PRODUCTION
卷 67, 期 -, 页码 197-207出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2013.12.024
关键词
Minimizing energy consumption costs; Single-machine sustainable scheduling; Variable energy prices; Genetic algorithm; Demand side management
资金
- European Commission
The rising cost of energy is one of the important factors associated with increased production costs at manufacturing facilities, which encourages decision-makers to tackle this problem in different manners. One important step in this trend is to reduce the energy consumption costs of production systems. Considering variable energy prices during one day, this paper proposes a mathematical model to minimize energy consumption costs for single machine production scheduling during production processes. By making decisions at machine level to determine the launch times for job processing, idle time, when the machine must be shut down, turning on time, and turning off time, this model enables the operations manager to implement the least expensive production scheduling during a production shift. To obtain 'near' optimal solutions, genetic algorithm technology has been utilized. Furthermore, to determine whether the heuristic solution provides the minimum cost and the best possible schedule for minimizing energy costs, an analytical solution has also been run to generate the optimal solution. Next, a comparison between the analytical solution and heuristic solutions is presented; for larger problems, the heuristic solution is preferable. The results indicate that significant reductions in energy costs can be achieved by avoiding high-energy price periods. This minimization process also has a positive environmental effect by reducing energy consumption during peak periods, which increases the possibility of reducing CO2 emissions from power generator sites. (C) 2013 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据