Production Decision Optimization for Iron and Steel Scrap Remanufacturing considering Carbon Emission and Delivery Time

Under the requirements of the national carbon reduction target, the recycling and remanufacturing of scrap iron and steel are taken by major iron and steel enterprises as requirements for implementing industrial carbon emission reduction and are incorporated into their production strategies. The sch...

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Main Authors: Changping Liu, Weiyu Zhou
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2021/9967868
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author Changping Liu
Weiyu Zhou
author_facet Changping Liu
Weiyu Zhou
author_sort Changping Liu
collection DOAJ
description Under the requirements of the national carbon reduction target, the recycling and remanufacturing of scrap iron and steel are taken by major iron and steel enterprises as requirements for implementing industrial carbon emission reduction and are incorporated into their production strategies. The scheduling optimization of scrap iron and steel remanufacturing processes plays an important role in the energy saving and emission reduction of iron and steel enterprises. In this paper, a remanufacturing production decision model for scrap iron and steel considering both the product delivery time and carbon emissions was established, and a discrete krill swarm algorithm was designed to solve the multiobjective production decision model. The effectiveness of the model and the algorithm was verified by an example, demonstrating a good decision-making reference for the implementation of energy conservation and emission reduction in iron and steel enterprises.
format Article
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institution Kabale University
issn 1076-2787
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publishDate 2021-01-01
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series Complexity
spelling doaj-art-c540c69934864c748bb9bf37f67ffc422025-02-03T01:28:23ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/99678689967868Production Decision Optimization for Iron and Steel Scrap Remanufacturing considering Carbon Emission and Delivery TimeChangping Liu0Weiyu Zhou1Faculty of Management Engineering, Huaiyin Institute of Technology, Huaian 223200, ChinaFaculty of Business, Huaiyin Institute of Technology, Huaian 223001, ChinaUnder the requirements of the national carbon reduction target, the recycling and remanufacturing of scrap iron and steel are taken by major iron and steel enterprises as requirements for implementing industrial carbon emission reduction and are incorporated into their production strategies. The scheduling optimization of scrap iron and steel remanufacturing processes plays an important role in the energy saving and emission reduction of iron and steel enterprises. In this paper, a remanufacturing production decision model for scrap iron and steel considering both the product delivery time and carbon emissions was established, and a discrete krill swarm algorithm was designed to solve the multiobjective production decision model. The effectiveness of the model and the algorithm was verified by an example, demonstrating a good decision-making reference for the implementation of energy conservation and emission reduction in iron and steel enterprises.http://dx.doi.org/10.1155/2021/9967868
spellingShingle Changping Liu
Weiyu Zhou
Production Decision Optimization for Iron and Steel Scrap Remanufacturing considering Carbon Emission and Delivery Time
Complexity
title Production Decision Optimization for Iron and Steel Scrap Remanufacturing considering Carbon Emission and Delivery Time
title_full Production Decision Optimization for Iron and Steel Scrap Remanufacturing considering Carbon Emission and Delivery Time
title_fullStr Production Decision Optimization for Iron and Steel Scrap Remanufacturing considering Carbon Emission and Delivery Time
title_full_unstemmed Production Decision Optimization for Iron and Steel Scrap Remanufacturing considering Carbon Emission and Delivery Time
title_short Production Decision Optimization for Iron and Steel Scrap Remanufacturing considering Carbon Emission and Delivery Time
title_sort production decision optimization for iron and steel scrap remanufacturing considering carbon emission and delivery time
url http://dx.doi.org/10.1155/2021/9967868
work_keys_str_mv AT changpingliu productiondecisionoptimizationforironandsteelscrapremanufacturingconsideringcarbonemissionanddeliverytime
AT weiyuzhou productiondecisionoptimizationforironandsteelscrapremanufacturingconsideringcarbonemissionanddeliverytime