مدل برنامه ‌ریزی ریاضی چند هدفه برای انتخاب تحقیق و توسعه مناسب در صنعت باتری ‌سازی خودرو

نوع مقاله : مقاله علمی-پژوهشی

نویسندگان

1 گروه مدیریت تکنولوژی، واحد تهران مرکزی، دانشگاه آزاد اسلامی، تهران، ایران

2 دانشکده مهندسی صنایع، دانشکدگان فنی، دانشگاه تهران، تهران، ایران

3 گروه مدیریت صنعتی، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران

10.22034/jtd.2025.2014220.1898
چکیده
یکی از مشکلات شرکت ‌های تولید کننده داخلی در صنایع باتری ‌سازی، نبود مدل ‌های تحقیق و توسعه برای بهبود فناوری است. هدف از این پژوهش ارائه رویکردی دو مرحله ‌ای جهت توسعه یک مدل برنامه ‌ریزی ریاضی در صنایع باتری ‌سازی خودرو است. در ابتدا مدل ‌های تحقیق و توسعه با استفاده از روش اولویت ترتیبی، وزن دهی می‌شوند و در ادامه نیز یک مدل ریاضی سه ‌هدفه جهت تخصیص مدل ‌های تحقیق و توسعه به واحد های صنعتی (شرکت ‌های تولید کننده باتری خودرو) با در نظر گرفتن اهداف سود، ریسک و میزان مصرفی انرژی توسعه داده شده است. در نهایت نیز به ‌منظور حل مدل از روش محدودیت-اپسیلون تقویت شده و جهت مقایسه نتایج مدل نیز از الگوریتم ژنتیک رتبه ‌بندی نامغلوب (NSGA-II) استفاده گردید. به ‌طور کلی نتایج تجزیه ‌و تحلیل مدل نشان از اعتبار بالای رویکرد ترکیبی استفاده‌ شده در ارزیابی مدل تحقیق و توسعه پیشنهادی در شرکت ‌های تولیدکننده باتری خودرو را دارد. در نهایت نیز به ‌منظور حل مدل از روش محدودیت-اپسیلون تقویت شده و جهت مقایسه نتایج مدل نیز از الگوریتم ژنتیک رتبه ‌بندی نامغلوب (NSGA-II) استفاده گردید. به ‌طور کلی نتایج تجزیه ‌و تحلیل مدل نشان از اعتبار بالای رویکرد ترکیبی استفاده‌ شده در ارزیابی مدل تحقیق و توسعه پیشنهادی در شرکت ‌های تولیدکننده باتری خودرو را دارد.

کلیدواژه‌ها

موضوعات


عنوان مقاله English

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

نویسندگان English

Masoud Latifian 1
Reza Tavakkoli-Moghaddam 2
Amir Hossein Latifian 1
Mahdi Kashani 3
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
چکیده English

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.

کلیدواژه‌ها English

research and development model
Sequential priority method
Multi-objective mathematical optimization
genetic algorithm of non-dominant ranking
Battery industries
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دوره 23، شماره 62
زمستان 1404
صفحه 69-84

  • تاریخ دریافت 01 آبان 1402
  • تاریخ بازنگری 06 اردیبهشت 1404
  • تاریخ پذیرش 13 اردیبهشت 1404