A Metaheuristic Method for the Task Assignment Problem in Continuous-Casting Production

The steelmaking and continuous-casting (SCC) process in integrated iron and steel enterprises can be described as two stages: the upstream stage and downstream stage. Raw materials are transformed into molten steel in the upstream stage, while the downstream stage is responsible for transforming mol...

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Veröffentlicht in:Discrete dynamics in nature and society Jg. 2018; H. 2018; S. 1 - 12
Hauptverfasser: Hu, Hongtao, Wang, Tingsong, Wu, Yiwei
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Cairo, Egypt Hindawi Publishing Corporation 01.01.2018
Hindawi
John Wiley & Sons, Inc
Wiley
Schlagworte:
Algorithms
Analysis
Applied mathematics
Boilers
Computing time
Continuous casting
Downstream effects
Employment
Energy consumption
Heuristic methods
Integer programming
Inventory
Iron and steel making
Methods
Operations research
Preventive maintenance
Production capacity
Production scheduling
Raw materials
Steel industry
Steel production
Upstream
Windows (intervals)
ISSN:1026-0226, 1607-887X
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Zusammenfassung:The steelmaking and continuous-casting (SCC) process in integrated iron and steel enterprises can be described as two stages: the upstream stage and downstream stage. Raw materials are transformed into molten steel in the upstream stage, while the downstream stage is responsible for transforming molten steel which is released at regular intervals and has a limited time for being turned into slabs. This article focuses on the task assignment problem in the downstream stage within the given information resulting from the upstream stage. This problem is formulated as a nonlinear mixed-integer programming model aimed at minimizing total tardiness within the resource constraints and time windows constraints for the tasks. An improved solution algorithm based on particle swam optimization is developed to efficiently solve the proposed model. Finally, computational experiments are implemented to evaluate the performance of the solution algorithm in terms of solution quality and computational time.
Bibliographie:ObjectType-Article-1
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ISSN:1026-0226
1607-887X
DOI:10.1155/2018/8073648