توسعه دو الگوریتم چند هدفه برای حل مسئله چند هدفه زمانبندی کارگاهی منعطف با در نظر گرفتن توان مصرفی ماهانه

نوع مقاله: مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری مهندسی صنایع دانشگاه امیر کبیر

2 عضو هیات علمی دانشکده مدیریت و حسابداری دانشگاه شهید بهشتی

چکیده

در این مقاله، به منظور واقعی تر ساختن مسئله زمانبندی کار کارگاهی منعطف ) 1
نزدیک تر نمودن آن با مسائل دنیای واقعی، یک عامل عملیاتی به مدل کلاسیک این مسئله افزوده
می شود. این عامل که بهینه سازی میزان توان الکتریکی مصرفی در طول یک ماه می باشد،
کلیدی ترین عامل در محاسبات برق مصرفی شرکت های صنعتی به شمار می آید. دیدن این عامل در
مدل سازی، با توجه به شرایط جدید کشور بعد از حذف یارانه ها اهمیت پر رنگتری نیز پیدا کرده
است. در کنار این هدف، 2 هدف مرسوم نیز که زمان تکمیل کارها و بار کاری ماشین بحرانی
می باشند نیز در نظر گرفته شده اند. به منظور حل مدل چند هدفه، دو الگوریتم به نام های الگوریتم
و الگوریتم چند هدفه جستجوی هارمونی )MOBBO چند هدفه مبتنی بر جغرافیای زیستی ) 2
را ارائه خواهیم کرد. این دو الگوریتم برای اولین بار است که به محیط گسسته مسائل )MOHS3(
زمانبندی معرفی می شوند. در پایان به وسیله توسعه چند مسئله معروف از مدل مربوطه، عملکرد
الگوریتم های ارائه شده را به صورت آماری مقایسه خواهیم نمود.

کلیدواژه‌ها


عنوان مقاله [English]

Developing two multi-objective algorithms for solving multi-objective flexible job shop scheduling problem considering total consumed power per month

نویسندگان [English]

  • Seyed Habib A Rahmati 1
  • Mostafa Zandieh 2
چکیده [English]

In this paper, to make flexible job shop scheduling problem (FJSP)
more realistic, an operational factor is considered in its model. This
factor, which is called optimizing total consumed electric power per
month, is known as the most important factor in calculation of the
electric cost of the industries. Considering this factor, specifically
after subsides elimination of the country, has became more important.
In addition to this objective, two other common objectives, called
complementation time and critical work load of machines, are
considered. To solve the multi-objective model, two algorithms,
called multi-objective biogeography-based optimization algorithm
(MOBBO) and multi-objective harmony search algorithm (MOHS),
are developed and introduced to scheduling area for the first time.
Finally, by developing some famous libraries of the problem,
performance of the algorithms is compared statistically

کلیدواژه‌ها [English]

  • Flexible job shop scheduling problem
  • total consumed electric power per month
  • multi-objective biogeography-based optimization algorithm
  • and multi-objective harmony search algorithm
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