Efficient Batching Algorithm for Charging Slabs into a Continuous Furnace

Serdobintsev, Yu. P.; Kukhtik, M. P.; Makarov, A. M.

doi:10.1007/s11015-014-9879-1

Search citation statements

Order By: Relevance

Paper Sections

Select...

Introduction1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2019

Publication Types

Select...

Other1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Previous works on using genetic algorithms (GA) for optimizing the production schedule of a press forging factory deal only with scheduling the heating furnace jobs (Fei et al, 2017;Serdobintsev et al, 2014). What we propose in this paper is a method based on a GA that searches for an optimal production schedule covering an entire factory, where the quality of each candidate schedule is evaluated by a simulation of the overall forging processes using the cost models of all the equipment involved.…”

Section: Introductionmentioning

confidence: 99%

Simulation-Based Scheduling for a Hot Press Forging Factory Using Data-Driven Models

Kim¹,

Lee²,

Heo³

et al. 2019

Proceedings of the 16th International Conference on Applied Computing 2019

View full text Add to dashboard Cite

We use a genetic algorithm (GA) to search for an optimal production schedule for a hot press forging factory. Our GA evaluates each candidate schedule by simulating its execution using cost models of all the equipment involved in the forging process. The cost models are learned from data collected from IoT infrastructure installed at our target factory. Experimental results show that our proposed method gives schedules of higher productivity with lower energy cost compared to the heuristic method that is similar to the real practices at our target hot press forging factory.

show abstract

Section: Introductionmentioning

confidence: 99%