A subpopulation-based differential evolution algorithm for scheduling with batching decisions in steelmaking-continuous casting production

Optimization of Steelmaking Energy Efficiency Scheduling Based on an Equipment Set Shutdown Strategy

“…The assumptions of the optimization model of steelmaking energy efficiency scheduling based on the equipment set shutdown strategy are as follows: (1) One machine can only process one charge at the same time, and one charge can be processed by at most one machine at the same time; (2) since the steelmaking process is carried out in a high temperature environment, there is a maximum temperature limit for the waiting processing time of the charge, which is mainly affected by the waiting time; (3) the set of charges in the same cast time is selected to be processed on one machine; (4) each charge is processed according to the technological process, and the transportation time must be considered in the middle; (5) consider the replacement time of tundish for different equipment; (6) the pouring sequence of the charges in the same pouring time is not allowed to be changed, and the cast sequence of the charges is determined in advance; and (7) the influence of other factors on the energy consumption of equipment set is not considered.…”

“…(7) (7) In order to change the tundish frequently, the charges on the same cast must be cast continuously, as expressed in eq 8.…”

“…A method to quantitatively describe the matching relationship between processing equipment in real production by using the processing weight assignment method of task executable equipment in the production scheduling plan of steelmaking and continuous casting was proposed. 7 An improved migrating birds optimization (IMBO) algorithm to tackle the considered NP-hard problem was proposed. 8 A new nondominated sorting genetic algorithm with an elite strategy (NSGA2)-based production scheduling method for complex steelmaking and continuous casting production process which consisted of multiple refining ways was presented.…”