ارائه مدل یکپارچه برای تحلیل و بهبود مسائل زمانبندی و ارسال وسایل نقلیه هدایت خودکار در سیستم تولید انعطاف‌پذیر

نوع مقاله : مقاله پژوهشی

نویسندگان

1 کارشناس ارشد، مؤسسه آموزش عالی کار قزوین.

2 استادیار، دانشگاه شهید بهشتی.

3 استاد، دانشگاه صنعتی امیرکبیر.

چکیده

زمانبندی سیستم‌های تولید انعطاف‌پذیر یکی از مهم‌ترین و کاربردی‌ترین مباحث در حوزه‌ی مسائل زمانبندی سیستم‌های تولیدی است که ویژگی‌ها و زیر‌مسائل زیادی در آن تأثیرگذار هستند. در‌نظر‌گرفتن این زیر‌مسائل به‌طور همزمان و یکپارچه در مدل زمانبندی سیستم‌های تولید انعطاف‌پذیر به یک برنامه زمانبندی موجه منجر خواهد شد، مدل به شرایط واقعی موجود در محیط سیستم تولید انعطاف‌پذیر نزدیک‌تر می‌شود و در‌نتیجه قابلیت استفاده از آن در محیط‌های تولیدی افزایش خواهد یافت. در این مقاله به‌طور همزمان به مسائل زمانبندی وظایف تولید و ارسال وسایل نقلیه هدایت خودکار  پرداخته شده‌است که دو زیر‌مسئله: بارگیری ماشین و مسیریابی قطعات در سیستم تولید انعطاف‌پذیر را نیز به‌طور ضمنی در‌بر‌می‌گیرد. برای این مسئله یک مدل ریاضی برنامه‌ریزی غیرخطی مختلط عدد صحیح ارائه شده‌‌است. الگوریتم ژنتیک برای حل مدل به‌کار رفت که به جواب‌های نزدیک به بهینه منجر شد. با حل چند مثال عددی و تعریف حدود بالا و پایین و مقایسه آن‌ها، کیفیت راه حل‌های به‌دست‌ آمده از الگوریتم نشان داده شده‌است.

کلیدواژه‌ها

عنوان مقاله [English]

An Integrated Model for Analysis and Improvement of Scheduling “Flexible Manufacturing Systems (FMS)” and Dispatching “Automated Guided Vehicle (AGV)” Problems

نویسندگان [English]

  • Sayedeh Mahrokh Sajadi 1
  • Ashkan Ayough 2
  • Mir Mahdi Sayed Isfahani 3
1 M.A. Kar Higher Education Institute, Qazvin.
2 Assistant Professor, Shahid Beheshti University.
3 Professor, Amirkabir University of Technology.
چکیده [English]

Flexible manufacturing system scheduling is one of the most important and practical topics in manufacturing systems scheduling problems which could be affected by many features and subproblems. Considering them in FMS scheduling model in an integrated way leads to a feasible scheduling, and  the model will  not only be closer to the real settings in FMS environment but also its application in manufacturing systems will increase. This contribution takes into account manufacturing tasks and AGV dispatching scheduling problems simultaneously (in addition involving 2 subproblemsi machine loading, ii part routing problems implicitly). It provided a mathematical nonlinear mixed integer programming model. Having solved the model via Genetic Algorithm leaded to suboptimal solutions. Solving various examples, defining Lower and Upper Bounds and comparing them, demonstrate the quality of the solutions.

کلیدواژه‌ها [English]

  • Flexible Manufacturing Systems
  • Automated Guided Vehicle
  • Scheduling
  • Mathematical Model
  • Genetic Algorithm

مراجع

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