Multi-objective mathematical modeling for selection of appropriate research and development in battery auto industry

Document Type : Research Paper

Authors

1 Department of Technology Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran

2 School of Industrial Engineering, College of Engineering, University of Tehran,,Tehran, Iran

3 Department of Industrial Management, Science and Research Branch, Islamic Azad University, Tehran, Iran

10.22034/jtd.2025.2014220.1898
Abstract
One of the problems of domestic manufacturing companies in the battery industry is the lack of research and development (R&D) models to improve technology. The purpose of this research is to present two stages for the development of a mathematical programming model in the automotive industry. At first, R&D models are weighted using the sequential priority method, and then a three-objective mathematical model is used to allocate R&D models to industrial units (car battery manufacturing companies) taking into account the goals. Profit, risk and energy consumption are developed. Finally, in order to solve the model, the enhanced epsilon-constraint method is used and to compare the results of the model, the non-dominated sorted genetic algorithm (NSGA-II) is used. In general, the results of the model analysis show the high validity of the hybrid approach used in the evaluation of the proposed research and development model in car battery manufacturing companies. Finally, in order to solve the model, the enhanced epsilon-constraint method is used and to compare the results of the model, the non-dominated sorted genetic algorithm (NSGA-II) is used. In general, the results of the model analysis show the high validity of the hybrid approach used in the evaluation of the proposed research and development model in car battery manufacturing companies.

Keywords

Subjects

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Volume 23, Issue 62
Autumn 2025
Pages 69-84

  • Receive Date 23 October 2023
  • Revise Date 26 April 2025
  • Accept Date 03 May 2025