Abstract




 
   

IJE TRANSACTIONS C: Aspects Vol. 27, No. 6 (June 2014) 899-910   

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  APPLING METAHEURISTIC ALGORITHMS ON A TWO STAGE HYBRID FLOWSHOP SCHEDULING PROBLEM WITH SERIAL BATCHING (RESEARCH NOTE)
 
E. Ghafari and R. Sahraeian
 
( Received: April 30, 2013 – Accepted in Revised Form: December 12, 2013 )
 
 

Abstract    In this paper the problem of serial batch scheduling in a two-stage hybrid flow shop environment with minimizing Makesapn is investigated. In serial batching it is assumed that jobs in a batch are processed serially, and their completion time is defined to be equal to the finishing time of the last job in the batch. The analysis and implementation of the prohibited transference of jobs among the machines of stage one in serial batch is the main contribution of this research. Machine set-up and released time for all jobs are assumed to be zero and no Preemption is allowed. Machines may not breakdown but at times they may be idle. As the problem is NP-hard, a simulated annealing (SA) is developed to give near optimal solutions. Since this problem has also not been studied previously, therefore, a lower bound is developed for evaluating the performance of the proposed SA. Many test problems have been solved using SA and results compared with lower bound. Results showed SA can provide a good near optimal solution for small, median and large size problems in reasonable time.

 

Keywords    Scheduling, Hybrid Flowshop, Serial Batching, Simulated Annealing, Taguchi Method

 

چکیده    در این مقاله مسأله زمان‏بندی دسته‏ای سری، در محیط کارگاهی ترکیبی و دو مرحله‏ای به منظور حداقل کردن زمان کل انجام کار، بررسی می‏شود. فرض بر این است که پردازش کارها در یک دسته به صورت سری است و زمان تکمیل آن دسته برابر با زمان پایان آخرین کار در آن دسته است. نوآوری اصلی این تحقیق، تحلیل و اجرای ممنوعیت جابجایی کارهای میان ماشین‏های مرحله اوّل است. فرض می‏شود که زمان آماده‏سازی ماشین‏ها و زمان آماده کار بودن کارها، صفر است و انقطاع کار نیز مجاز نیست. احتمال توقف ماشین‏ها صفر است اما احتمال بیکاری در برخی اوقات وجود دارد. چون پیچیدگی مسأله بالاست (NP-hard)، به منظور رسیدن به جواب نزدیک به بهینه، از روش شبیه سازی تبرید استفاده می‏شود. همچنین، چون این مسأله قبلا مطالعه نشده است، لذا برای ارزیابی عملکرد روش حل SA پیشنهادی، یک کران پایین ارائه می‏شود. چندین مسأله نمونه با روش شبیه سازی تبرید حل و نتایج آن با کران پایین مقایسه می‏شود. نتایج به دست آمده نشان می‏دهد که روش شبیه سازی تبرید می‏تواند برای مسائل کوچک، متوسط و بزرگ، یک جواب نزدیک به جواب بهینه خوب ارائه کند.

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