Work

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

Year: 2025

Type: article

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.

Source: International Journal of Computational and Experimental Science and Engineering

DOI: 10.22399/ijcesen.1176

Authors: Ranjitharamasamy Sudhakara Pandian, Venkat Dhanashri, Anbu Madhumathi, Velmurugan K, Gianpaolo Di Bona, Alessandro Silvestri

Institutions: Vellore Institute of Technology University, Kalasalingam Academy of Research and Education, Università degli studi di Cassino e del Lazio Meridionale

Language: English

Topic: Scheduling and Optimization Algorithms

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W4410540629

FWCI:

Cites: 14

Cited by:

Related to: 10