حل مسأله زمان‏بندی چند عاملی در محیط جریان کارگاهی با در نظر گرفتن اثر زمانی و رد کردن کارها با استفاده از یک الگوریتم فراابتکاری

نوع مقاله: مقاله پژوهشی

نویسندگان

1 دانشیار گروه مهندسی صنایع، دانشکده فنی و مهندسی، دانشگاه شاهد، تهران، ایران.

2 کارشناس ارشد مهندسی صنایع، گروه مهندسی صنایع، دانشگاه شاهد، تهران، ایران.

چکیده

در این پژوهش یک مسأله زمان‏بندی چند عاملی، در محیط جریان کارگاهی مورد بررسی قرار گرفته است. مسأله زمان‏بندی چند عاملی، زیرمجموعه‏ای از مسائل زمان‏بندی چند هدفه است که در آن هر عامل، دارای مجموعه‏ای از کارها است و هدف آن، بهینه کردن تابع هدف مربوط به خود است. جهت واقعی‏تر کردن مسأله، دو مفروض کاربردی «اثر زمانی» و «رد کردن» در نظر گرفته شده است. یک مدل برنامه‏ریزی عدد صحیح مختلط برای مسأله ارائه شده است. همچنین با توجه به پیچیدگی مدل و عدم توانایی روش‏های حل دقیق در حل مسائل با ابعاد بزرگ، الگوریتم فراابتکاری ژنتیک مبتنی بر مرتب‏سازی نامغلوب پیشنهاد شده است. راه‌حل‏های حاصل از این الگوریتم و روش دقیق محدودیت جزئی تعمیم‌یافته، با هم مقایسه شده است و نتایج به دست آمده، عملکرد آن را تأیید می‏نماید.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Solving a multi-agent scheduling problem in a flow shop environment considering rejection and deteriorating jobs: using a meta-heuristic algorithm

نویسندگان [English]

  • Rashed Sahraeian 1
  • Majid Hosseinzadeh 2
1 Department of Industrial Engineering, Shahed University, Tehran,
2 Department of Industrial Engineering, Shahed University, Tehran,
چکیده [English]

A multi-agent scheduling problem in a flow shop environment has been considered in this study. Multi-agent scheduling problem is a subset of multi-objective scheduling problems in which each agent has a set of jobs and its aim is to optimize its own objective function. To make the proposed problem more realistic, two practical assumptions such as deteriorating jobs and rejection has been considered. A mixed integer programming model is presented for the problem. The main contribution of the proposed model is to consider multi-agent with two mentioned assumptions. Also, due to the complexity of the model and its inability to solve large-scale problems, a meta-heuristic Non-Dominated sorting Genetic Algorithm (NSGA-II) are developed. Obtained solutions of this algorithm are compared with exact augmented ε-constraint method and the results confirm its performance.

کلیدواژه‌ها [English]

  • Scheduling
  • Agent
  • Rejection
  • Deteriorating jobs
  • MIP

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