استفاده از روش شناسی رویه پاسخ و برنامه ریزی آرمانی بر پایه شبیه سازی در سلول رباتیک جهت بهینه یابی توالی عملیات

نوع مقاله : مقاله پژوهشی

نویسندگان

1 باشگاه پژوهشگران جوان و نخبگان، واحد تهران جنوب، دانشگاه آزاد اسلامی

2 ایران-سنندج- دانشگاه کردستان- دانشکده مهندسی- گروه صنایع

3 گروه مهندسی صنایع،واحد تهران جنوب،دانشگاه آزاد اسلامی، تهران، ایران

چکیده

تمرکز اصلی این مقاله بر بهره گیری از رویکرد شبیه‌سازی کامپیوتری در مدل‌سازی در حضور عوامل مختلف عدم قطعیت و نیز استفاده از روش شناسی رویه پاسخ بر روی نتایج متنوع شبیه‌سازی در مساله تعیین توالی بهینه ورود قطعات به سلول تولیدی رباتیک سه ماشینه بر اساس سیاست حرکتی S_6 با در نظر گرفتن تولید قطعات مختلف در هر سیکل تولیدی است. تابع چگالی احتمال خرابی و زمان تعمیر ماشین ها دارای توزیع نمایی بوده و حداقل کردن زمان سیکل بر اساس سیاست حرکتی S_6 و حداکثر کردن خروجی در این سلول رباتیک همراه با کمینه‌سازی هزینه‌های عملیاتی به عنوان اهداف اصلی بهینه‌سازی مساله منظور شده است. نتایج شبیه‌سازی مثال‌های عددی متعدد حاکی از آن است که این رویکرد، در زمان رسیدن به جواب بهینه نسبت به رویکردهای پیشین مدل‌سازی بهبود قابل توجه دارد.

کلیدواژه‌ها

عنوان مقاله [English]

Utilization of Response Surface Methodology and Goal Programming based on Simulation in a Robotic Cell to Optimize Sequencing

نویسندگان [English]

  • Bahareh Vaisi 1
  • Hiwa Farughi 2
  • Sadigh Raissi 3
1 Young Researchers and Elite Club, South Tehran Branch, Islamic Azad University, Tehran, Iran
2 Department of Engineering, University of Kurdistan, Sanandaj, Iran   
3 School of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran   
چکیده [English]

 The present paper focuses on the utilization of simulation approach for modelling the problem in the presence of different factors of uncertainty, as well as response surface methodology on the simulation results in sequencing problem of a 3-machine robotic manufacturing cell under S6 cycle, where produces multiple parts. The process supports by a single gripper robot to load/unload products and also displacement within the system. This study considers machine’s failure and repair such that machine’s probability density function of failure and repair time in this robotic cell follows exponential distribution. Minimizing both S6 cycle time and operational cost and maximizing throughput in this cell are the optimization’s main objectives. The simulation results of numerical examples indicate that this approach improves significantly the time of obtaining the optimal solution in comparison with the previous mathematical modelling.   

کلیدواژه‌ها [English]

  • Robotic manufacturing cell
  • Sequencing
  • Simulation
  • Response surface methodology
  • Design of experiments. 

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نشریه علمی پژوهشی مهندسی و مدیریت کیفیت
دوره 10، شماره 4
اسفند 1399
صفحه 327-338

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