نوع مقاله : مقاله پژوهشی
نویسندگان
1 استادیار مرکز تحقیقات مهندسی سیستم ها، دانشگاه جامع امام حسین، تهران
2 پژوهشگر مرکز تحقیقات مهندسی سیستم ها، دانشگاه جامع امام حسین، تهران
3 دانشجوی دکترا مهندسی صنایع، دانشکده صنایع، دانشگاه تهران، تهران
4 کارشناس ارشد مدیریت صنعتی، دانشکده مدیریت و حسابداری، دانشگاه علامه طباطبایی تهران
5 کارشناس ارشد شرکت واگن سازی تهران
چکیده
توسعه شبکه مترو، گستردگی روز افزون و پیچیدگی های ذاتی مدیریت آن، ضرورت نگاه علمی و استفاده از تجربیات و
دانش روز دنیا در خصوص نگهداری و تعمیرات را اجتناب ناپذیر ساخته است. بخش عمده ای از تجهیزات شبکه مترو و
قطار های آن را تجهیزات تعمیر پذیر تشکیل می دهند که درصد قابل توجهی از منابع مالی و انسانی سازمان را به خود
معطوف می سازند .
هدف این مقاله، اندازه گیری کارائی و رتبه بندی سیستم تهویه مطبوع قطار های دی سی متروتهران و زیر سیستم های آن به
کمک مدل تحلیل پوششی داده های ارتباطی سه مرحله ای می باشد. در خصوص اهمیت سیستم تهویه در مترو همین بس
که در حدود 8 ماه از سال، سیستم تهویه پس از ترکشن ها که نیروی محرکه جهت جابه جایی قطار را فراهم می آورد،
بیشترین اهمیت را از منظر مدیریت بهره برداری دارا می باشد. در این پژوهش با تعریف سیستم تهویه به عنوان واحد های
تصمیم گیری، از آن جهت ارزیابی عملکرد سیستم و در نهایت کمک به تصمیم سازی راهبردی نگهداری و تعمیرات اعم
از داشتن تخمینی از ظرفیت کارگاه نگهداری وتعمیرات، تامین قطعات یدکی و نیروی انسانی مورد نیاز استفاده می شود.
شایان ذکر است به علت وجود خطاهای گوناگونی از جمله خطای انسانی، خطای دستگاه ها، محدودیت های مربوط به
تحلیل داده های میدانی و غیره، در این مقاله از رویکرد فازی جهت چالش با عدم قطعیت در داده ها استفاده شده است. در
ضمن از آنالیز قابلیت اطمینان، قابلیت دسترسی و نگهداشت پذیری که از مهمترین شاخص های حوزه نگهداری و تعمیرات
هستند، جهت تعیین ورودی ها و خروجی های سیستم تهویه استفاده شده است.
کلیدواژه‌ها
عنوان مقاله [English]
Evaluation of system and subsystem of Tehran’s subway trains ventilation using three-stage fuzzy relational data envelopment analysis
نویسندگان [English]
- Seyed Alireza Mir Mohammad Sadeghi*, 1
- Mahdi Moghan 2
- Mahdi Keshavarz 3
- Mehrnoosh Keshavarz 4
- Fatemeh Khaje Nori 5
چکیده [English]
Subway network extension, growing expansion an inherent management complexities, made it necessary to use scientific approach, modern technology and global experiences about maintenance. Many equipments and trains of subway network, consist of repairable items which consume considerable human and financial resources of the organization. This paper aims to measure the efficiency and rank ventilation system of Tehran's DC trains and it's subsystems using three-stage relational data envelopment analysis model. About the importance of Tehran’s subway ventilation system, we can say that for 8 months of the year, ventilation system after driving engines which support the movement of trains, gets most important attention of operation management. In this paper with defining ventilation system as decision-making units, we use it to evaluate the system performance and ultimately for maintenance strategy, including an estimate of the maintenance workshop capacity, spare parts and requiring labor. Due to various errors such as human errors, machinery errors, limitations of field data analysis and etc, in this paper fuzzy logic is used to overcome the uncertainly in data. Also, reliability, availability and maintainability analysis, which are most important indicators in the maintenance field, have been used to determine the ventilation system inputs and outputs
کلیدواژه‌ها [English]
- Three Stage fuzzy relational data envelopment analysis
- reliability
- Availability
- Maintainability
- Ventilation system
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