نوع مقاله : مقاله پژوهشی

نویسندگان

1 کارشناسی ارشد مدیریت صنعتی، گروه مدیریت صنایع، دانشکده مدیریت و حسابداری، دانشگاه شهید بهشتی، تهران

2 دانشیار، گروه مدیریت صنایع، دانشکده مدیریت و حسابداری، دانشگاه شهید بهشتی، تهران

چکیده

خط دمونتاژ قطعات گزینه مناسبی برای برای کاهش مشکلات زیستمحیطی ناشی از ضایعات تولیدشده است.
هدف مسئله بالانس خط دمونتاژ قطعات، هماهنگ کردن فعالیتهای خط دمونتاژ است به نحوی که کل زمان
لازم در هر یک از ایستگاههای کاری تقریباً یکسان باشد. هدف اصلی فرآیند دمونتاژ قطعات استفاده مجدد از
اجزا و کاهش اثرهای نامطلوب روی محیط زیست است. این مقاله از رویکردی مبتنیی بیر میدل کیانو، تحلییل
سلسله مراتبی فازی، تاپسیس اصیلا شیده ، پرومتیی اسیتفاده کیرده و همینیین بیا بکیارگیری روابیط تقیدمی
AND/OR توالی وظایف را بدست می آورد. وظیفهها بر اساس اولویت و روابط تقدمی به ایستگاهها واگذار
میشوند. مورد مطالعه خط بازیافت با استفاده از هر دو روش تاپسییس اصیلا شیده و پرومتیی میورد بررسیی
قرارگرفته است. هر دو روش نتایج یکسان )کاهش دو ثانیه ای در چرخه( را نشان داده اند. با ایین و جیود روش
پرومتی نسبت به روش تاپسیس اصلا شده، رویه آسان تر ولی فرایند طولانی تری دارد.

کلیدواژه‌ها

عنوان مقاله [English]

Disassembly Line Balancing Based on the Kano Model and Fuzzy MCDM Methods, the Case: e-Waste Recycling Line

نویسندگان [English]

  • Mina Riahee 1
  • Mostafa Zandieh 2

1

2

چکیده [English]

Recovering, recycling, and remanufacturing end-of-life products (disassembly line) are appropriate methods of reducing the environmental impact associated with wastes. A disassembly line is a viable option for doing so. The objective of the disassembly line balancing problem (DLBP) is to coordinate disassembly line activities so that total operating times of workstations are nearly equal. The disassembly process mainly aims to reuse components in end-of-life products and thus reduce adverse environmental effects. This paper employs an approach based on the Kano model, Fuzzy AHP, M-TOPSIS, and PROMETHEE. Furthermore, using AND/OR precedence relationships, the optimal sequence of disassembly is obtained. Tasks are assigned to workstations according to priority and precedence relationships. An illustrative example of the proposed method is solved using both M-TOPSIS and PROMETHEE. Both methods lead to a decrease of two seconds in total cycle time. Despite yielding equal results, PROMETHEE is superior to M-TOPSIS in terms of complexity and ease of use. However, it takes longer to complete.

کلیدواژه‌ها [English]

  • Disassembly Line Balancing
  • Precedence Relations
  • Kano Model
  • Fuzzy-AHP
  • M-TOPSIS and PROMETHEE
 
 
 
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