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International Journal Optimization of production scheduling with time-dependent and machine-dependent electricity cost for industrial energy efficency
2015.07.30 10:28
| author | Joonyung Moon |
|---|---|
| 2nd author | / Kitae Shin (Department of Industrial Management Engineering, Daejin University) / Jinwoo Park (Dept. of Industrial Engineering, Seoul National University) |
| info | International Journal of Advanced Manufacturing Technology (SCIE, 0.743) |
| year | 2013 |
| c | IJ |
| 저널/학회 | IJAMT |
| group | SCIE |
| keyword | Production scheduling · Unrelated parallel machine · Genetic algorithm · Smart grid · Demand response · Energy efficiency |
| abstract | In many industrialized countries, manufacturing industries pay stratified electricity charges depending on the time of day (i.e., peak-load, mid-load, and off-peak-load). In contrast, the emerging smart grid concept may demand that industries pay real-time hourly electricity costs so as to use energy most efficiently. This paper deals with the production and energy efficiency of the unrelated parallel machine scheduling problem. This method allows the decision maker to seek a compromise solution using the weighted sum objective of production scheduling and electricity usage. Reliability models are used to consider the energy cost aspect of the problem. This paper aims tooptimize the weighted sum of two criteria: the minimization of the makespan of production and the minimization of time-dependent electricity costs. We suggest a hybrid genetic algorithmwith our blank job insertion algorithmand demonstrate its performance in simulation experiments. |
