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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Published in:Discrete dynamics in nature and society Vol. 2018; no. 2018; pp. 1 - 12
Main Authors: Hu, Hongtao, Wang, Tingsong, Wu, Yiwei
Format: Journal Article
Language:English
Published: Cairo, Egypt Hindawi Publishing Corporation 01.01.2018
Hindawi
John Wiley & Sons, Inc
Wiley
Subjects:
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
Online Access:Get full text
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Abstract 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.
AbstractList 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.
Audience Academic
Author Wang, Tingsong
Hu, Hongtao
Wu, Yiwei
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ContentType Journal Article
Copyright Copyright © 2018 Hongtao Hu et al.
COPYRIGHT 2018 John Wiley & Sons, Inc.
Copyright © 2018 Hongtao Hu et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0
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SubjectTerms 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)
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Title A Metaheuristic Method for the Task Assignment Problem in Continuous-Casting Production
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