Development of a Steel Plant Rescheduling Algorithm Based on Batch Decisions
| Autor: | Eliseo P. Vergara-González, David García-Menéndez, Henar Morán-Palacios, Vicente Rodríguez-Montequín |
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| Rok vydání: | 2021 |
| Předmět: |
Technology
0209 industrial biotechnology QH301-705.5 Computer science Process (engineering) QC1-999 production planning casting scheduling problem 0211 other engineering and technologies Scheduling (production processes) 02 engineering and technology 020901 industrial engineering & automation Steel mill Production (economics) General Materials Science scheduling Biology (General) QD1-999 Instrumentation Fluid Flow and Transfer Processes 021103 operations research Event (computing) Physics Process Chemistry and Technology General Engineering steelmaking and continuous casting Engineering (General). Civil engineering (General) Computer Science Applications Continuous casting Chemistry Production planning Casting (metalworking) TA1-2040 Algorithm |
| Zdroj: | Applied Sciences, Vol 11, Iss 6765, p 6765 (2021) Applied Sciences Volume 11 Issue 15 |
| ISSN: | 2076-3417 |
| Popis: | During the steelmaking and continuous casting process in the steel plant, it is common to encounter delays that affect initial planning. Furthermore, continuous casting machines themselves can lose much of their performance in the event of closure of one or more of their casting strands. The situation that is generated, far from being a planning problem, forces consideration of a vision of cost analysis when deciding changes in the planned sequences. This study presents a detailed analysis of the different circumstances that can cause strands closures or sequence breaks, their consequences and the different options available to minimize losses. Finally, an algorithm capable of analyzing the workshop situation and making the most favorable decision to optimize production is proposed, analyzed and compared with the efficiency of the original scheduling method in a real steel plant. The new algorithm proves its efficiency in all situations, with a time-saving average of 26.41 min per decision taken. |
| Databáze: | OpenAIRE |
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