Smart manufacturing system with rework and partial outsourcing for battery industry
Batteries have an important role in the energy industry by storing energy that can be utilized when it is needed. This not only has a positive impact on the environment but also contributes to the creation of a more sustainable and dependable energy system. This study introduces an advanced manufact...
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Format: | Article |
Language: | English |
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Elsevier
2025-02-01
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Series: | Cleaner Engineering and Technology |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2666790825000084 |
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author | Ritu Arora Divya Chauhan Anubhav Pratap Singh Anu Sayal |
author_facet | Ritu Arora Divya Chauhan Anubhav Pratap Singh Anu Sayal |
author_sort | Ritu Arora |
collection | DOAJ |
description | Batteries have an important role in the energy industry by storing energy that can be utilized when it is needed. This not only has a positive impact on the environment but also contributes to the creation of a more sustainable and dependable energy system. This study introduces an advanced manufacturing inventory system that considers scheduled backorders and the reworking process of imperfect batteries detected during inspection. Industries face a significant challenge of shortage problems due to increasing demand and product variability. To tackle this issue, a study has been conducted to produce high-quality batteries and minimize waste generation. Computer-integrated technologies are utilized to ensure product authenticity. Partial outsourcing is crucial to expedite the backorder recovery process, and the setup, production, outsourcing, holding, backorder, rework, screening, and advertisement costs have all been meticulously considered. Demand is viewed as an advertisement cost and selling price dependent due to variations in real-world demand. Simulated annealing has been used to optimize profit, and the developed model has been validated with sensitivity analysis and numerical examples. This study has significant implications for the energy sector, emphasizing sustainable industrialization and economic growth. |
format | Article |
id | doaj-art-16289ccef3634e9b83b80b016bab5cad |
institution | Kabale University |
issn | 2666-7908 |
language | English |
publishDate | 2025-02-01 |
publisher | Elsevier |
record_format | Article |
series | Cleaner Engineering and Technology |
spelling | doaj-art-16289ccef3634e9b83b80b016bab5cad2025-01-24T04:45:49ZengElsevierCleaner Engineering and Technology2666-79082025-02-0124100885Smart manufacturing system with rework and partial outsourcing for battery industryRitu Arora0Divya Chauhan1Anubhav Pratap Singh2Anu Sayal3Department of Mathematics and Statistics, Gurukula Kangri (Deemed to be University), Haridwar, Uttarakhand, IndiaDepartment of Mathematics and Statistics, Gurukula Kangri (Deemed to be University), Haridwar, Uttarakhand, IndiaDepartment of Mathematics, S.G.R.R. P.G. College, Dehradun, Uttarakhand, IndiaSchool of Accounting and Finance, Faculty of Business and Law, Taylor’s University, Subang Jaya, 47500, Malaysia; Corresponding author.Batteries have an important role in the energy industry by storing energy that can be utilized when it is needed. This not only has a positive impact on the environment but also contributes to the creation of a more sustainable and dependable energy system. This study introduces an advanced manufacturing inventory system that considers scheduled backorders and the reworking process of imperfect batteries detected during inspection. Industries face a significant challenge of shortage problems due to increasing demand and product variability. To tackle this issue, a study has been conducted to produce high-quality batteries and minimize waste generation. Computer-integrated technologies are utilized to ensure product authenticity. Partial outsourcing is crucial to expedite the backorder recovery process, and the setup, production, outsourcing, holding, backorder, rework, screening, and advertisement costs have all been meticulously considered. Demand is viewed as an advertisement cost and selling price dependent due to variations in real-world demand. Simulated annealing has been used to optimize profit, and the developed model has been validated with sensitivity analysis and numerical examples. This study has significant implications for the energy sector, emphasizing sustainable industrialization and economic growth.http://www.sciencedirect.com/science/article/pii/S2666790825000084BackordersOptimizationOutsourcingReworkSmart manufacturing inventory modelVariable demand |
spellingShingle | Ritu Arora Divya Chauhan Anubhav Pratap Singh Anu Sayal Smart manufacturing system with rework and partial outsourcing for battery industry Cleaner Engineering and Technology Backorders Optimization Outsourcing Rework Smart manufacturing inventory model Variable demand |
title | Smart manufacturing system with rework and partial outsourcing for battery industry |
title_full | Smart manufacturing system with rework and partial outsourcing for battery industry |
title_fullStr | Smart manufacturing system with rework and partial outsourcing for battery industry |
title_full_unstemmed | Smart manufacturing system with rework and partial outsourcing for battery industry |
title_short | Smart manufacturing system with rework and partial outsourcing for battery industry |
title_sort | smart manufacturing system with rework and partial outsourcing for battery industry |
topic | Backorders Optimization Outsourcing Rework Smart manufacturing inventory model Variable demand |
url | http://www.sciencedirect.com/science/article/pii/S2666790825000084 |
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