Application and validation of NSGA-II for designing batch production in mass customised steel industry

In recent pandemic situation the work orders from various customers are not stable due to the fact that the money flow is not happening as it was earlier. The work is based on unstable demand from customers of mass customized medium scale steel products manufacturing and leading exporters of precision components such as guide bush, steel collet, and feed finger. The industry considered for this work located in Coimbatore, South India follows a batch production system. Due to uncertainty in today’s market the industry is unable to deliver the orders within the due date. Poor production planning is found out to be one of the reasons for not being able to keep up to the deadlines. The Non Dominated Sorting Genetic Algorithm (NSGA II) is applied to produce a set of solutions with makespan and tardiness cost. Then the Analytical Hierarchy Process (AHP) has been used to validate the results obtained.

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Publication Details

Journal
International Journal of Computational and Experimental Science and Engineering
Published
2025-05-15
DOI
https://doi.org/10.22399/ijcesen.1176
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Application and validation of NSGA-II for designing batch production in mass customised steel industry

Alessandro Silvestri, Ranjitharamasamy Sudhakara Pandian, K. Velmurugan, Madhumathi Anbu et al.
1 links
International Journal of Computational and Experimental Science and Engineering
Manufacturing Process and Optimization
article

Application and validation of NSGA-II for designing batch production in mass customised steel industry

Alessandro Silvestri, Ranjitharamasamy Sudhakara Pandian, K. Velmurugan, Madhumathi Anbu, Gianpaolo Di Bona, Venkat Dhanashri
article en

Abstract

In recent pandemic situation the work orders from various customers are not stable due to the fact that the money flow is not happening as it was earlier. The work is based on unstable demand from customers of mass customized medium scale steel products manufacturing and leading exporters of precision components such as guide bush, steel collet, and feed finger. The industry considered for this work located in Coimbatore, South India follows a batch production system. Due to uncertainty in today’s market the industry is unable to deliver the orders within the due date. Poor production planning is found out to be one of the reasons for not being able to keep up to the deadlines. The Non Dominated Sorting Genetic Algorithm (NSGA II) is applied to produce a set of solutions with makespan and tardiness cost. Then the Analytical Hierarchy Process (AHP) has been used to validate the results obtained.

International Journal of Computational and Experimental Science and EngineeringVol. 11(2)
Università degli studi di Cassino e del Lazio Meridionale (IT)
Openalex Percentile: Top 85%
Manufacturing Process and Optimization
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