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

Authors

  • Ranjitharamasamy Sudhakara Pandian
  • Venkat Dhanashri
  • Anbu Madhumathi
  • Velmurugan K
  • Gianpaolo Di Bona University of Cassino
  • Alessandro Silvestri

DOI:

https://doi.org/10.22399/ijcesen.1176

Keywords:

NSGA II Algorithm, Mass customization, AHP, Makespan, Tardiness cost

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.

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Published

2025-05-15

How to Cite

Ranjitharamasamy Sudhakara Pandian, Venkat Dhanashri, Anbu Madhumathi, Velmurugan K, Di Bona, G., & Alessandro Silvestri. (2025). Application and validation of NSGA-II for designing batch production in mass customised steel industry. International Journal of Computational and Experimental Science and Engineering, 11(2). https://doi.org/10.22399/ijcesen.1176

Issue

Vol. 11 No. 2 (2025): IJCESEN

Section

Research Article

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