ارائه الگوریتمی مبتنی بر جستجوی هارمونی جهت حل مسأله زمانبندی چندهدفه تولید کارگاهی با یک مرحله مونتاژ و با در نظر گرفتن جریان محموله

نوع مقاله : مقاله پژوهشی

نویسندگان

1 استاد، دانشگاه الزهرا.

2 کارشناسی ارشد، دانشگاه بوعلی سینا.

3 دانشجوی دکتری، دانشگاه بوعلی سینا.

چکیده

در این مقاله مساله‌ی زمانبندی تولید کارگاهی چندهدفه همراه با یک مرحله مونتاژ و جریان محموله مورد بررسی قرار گرفته‌است. جریان محموله، فرآیندی است که طی آن، یک کار (محموله) به تعدادی کار کوچکتر (زیر محموله) تقسیم شده تا بتوان هم‌پوشانی در انجام عملیات مختلف را ایجاد نمود. هدف این مساله، زمانبندی و تعیین توالی عملیات‌ به‌نحوی است که ضمن برقراری محدودیت‌های مورد نظر، دو تابع هدف حداکثر دوره ساخت و هزینه وزنی زودکردها و دیرکردها کمینه گردد تا با صرفه‌جویی در زمان و هزینه بتوان به مدیریتی کارآمدتر در واحدهای صنعتی پیشرفته دست یافت. ابتدا به‌منظور تشریح مساله، مدل برنامه‌ریزی خطی عدد صحیح مختلط ارائه گردید. از آن‌جایی‌که مسأله مورد بررسی در گروه مسائل NP-hard می‌باشد، جهت حل مسأله از الگوریتمی پیشنهادی مبتنی بر جستجوی هارمونی استفاده‌شد. به‌منظور بررسی کارایی الگوریتم پیشنهادی، از چندین معیار عملکرد استفاده گردید. نتایج محاسباتی، عملکرد مناسب الگوریتم پیشنهادی  را نسبت به الگوریتم ژنتیک مرتب‌سازی نامغلوب در کسب جواب‌های با کیفیت نشان داد.

کلیدواژه‌ها


عنوان مقاله [English]

Providing a Harmony Search Algorithm for Solving Multi Objective Job Shop Scheduling Problem with Considering an Assembly Stage and Lot Streaming

نویسندگان [English]

  • Parviz Fattahi 1
  • Elham Mohammadi 2
  • Fatemeh Daneshamooz 3
1 Professor, Alzahra University.
2 MSc., Bu-Ali Sina University, Hamedan.
3 Ph.D Student, Bu-Ali Sina University, Hamedan.
چکیده [English]

In this research a multi-objective job shop scheduling problem with an assembly stage and lot streaming is studied. Lot streaming (LS) technique is a process in which a job (lot) is splitted into smaller jobs (sub-lots) such that successive operations can be overlapped. The aim of this study is to schedule and sequence operations in order to meet constraints and minimize the makespan and total weighted earliness and tardiness penalties which, in turn, leads to decrease time and costs and achieve more effective management in industrial departments. First, a mixed integer linear programming model is presented. Since this problem is classified as NP-hard, a metaheuristic algorithm based on Harmony Search is proposed to solve the problem. In order to verify the effectiveness of the proposed algorithm, several performance measures are used. Computational results revealed that the proposed algorithm outperforms non-dominated sorting Genetic algorithm.

کلیدواژه‌ها [English]

  • Scheduling
  • Job Shop
  • Assembly
  • Lot Streaming
  • Harmony Search
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