زمان‎بندی مقاوم و پایدار برای محیط کار کارگاهی منعطف با شکست تصادفی ماشین

نوع مقاله : مقاله علمی پژوهشی

نویسندگان

1 دانشیار مدیریت صنعتی، دانشگاه شهید بهشتی، تهران، ایران

2 کارشناس‎ارشد مدیریت صنعتی، دانشگاه شهید بهشتی، تهران، ایران

چکیده

پژوهش پیش رو، رویکردی را به‎منظور ایجاد زمان‎بندی مقاوم و پایدار برای محیط کار کارگاهی منعطف، زمانی که شکست تصادفی ماشین وجود دارد، پیشنهاد می‎کند. به‎منظور بررسی وضعیت شکست ماشین از شبیه­سازی استفاده شد که برای دستیابی به زمان‎بندی مقاوم و پایدار به‎کمک الگوریتم­های فراابتکاری پکپارچه شده است. الگوریتم پیشنهادی دو مرحله را دربرمی‎گیرد. در مرحلۀ اول، از آنجاکه زمان تکمیل برنامه اولین هدف هر برنامۀ زمان‎بندی است، این شاخص بهبود می­یابد و سپس در مرحلۀ دوم سه شاخص زمان تکمیل برنامه، مقاومت و پایداری به‎صورت خطی ترکیب‎شده و تابع هدف را تشکیل خواهد داد. در مدل پیشنهادی، برنامه­ریز می­تواند میزان اهمیت هریک از شاخص­ها را در تابع ترکیب خطی مشخص کند و مسیر بهبود الگوریتم را در جهت شاخص­های مد نظر تغییر دهد. نتایج محاسباتی نشان می­دهد که دستیابی به زمان‎بندی مقاوم و پایدار بدون افت در شاخص زمان تکمیل برنامه امکان‎پذیر است. در نهایت از آزمون فرضیۀ آماری به‎منظور مقایسۀ عملکرد دو الگوریتم فراابتکاری استفاده شده است.

کلیدواژه‌ها


عنوان مقاله [English]

Robust and stable scheduling for FJSP under random machine breakdown by use of genetic algorithm and simulation

نویسندگان [English]

  • Mostafa Zandieh 1
  • Ehsan Ahmadi 2
1 Associate Prof., Department of Industrial Management, Accounting and Management Faculty, Shahid Beheshti University, G.C., Tehran, Iran
2 MSc., Department of Industrial Management, Accounting and Management Faculty, Shahid Beheshti University, G.C., Tehran, Iran
چکیده [English]

Current research addresses finding robust and stable schedule for the flexible job shop problem under machine breakdown. We have used simulation to investigate the effect of machine breakdown. Two-stage of metaheuristic algorithm is developed to generate robust and stable schedule and is integrated with simulation algorithm. Because makespan is primitive objective of every scheduling problem, in the first stage of integrated algorithm, makespan is improved and in the second stage linear combination of stability, robustness and makespan is proposed. In our proposed model we provide condition that scheduler can decide which objective is important than the others, then scheduling scheme can be generated based on this decision. In the second stage, we have investigated four type of coefficient in combination cost function, and our experiment shows that it is possible to achieve high stability and robustness measures without sacrificing much from the makespan level. Genetic and differential evolution algorithms are used in proposed model then a statistical hypothesis test is conducted to compare the performance of them.

کلیدواژه‌ها [English]

  • Differential evolution algorithm
  • Flexible job shop problem
  • Genetic Algorithm
  • Machine breakdown
  • Makespan
  • Robust
  • Stable
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