Evaluation of system and subsystem of Tehran’s subway trains ventilation using three-stage fuzzy relational data envelopment analysis

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 fi...

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Main Authors: Seyed Alireza Mir Mohammad Sadeghi*, Mahdi Moghan, Mahdi Keshavarz, Mehrnoosh Keshavarz, Fatemeh Khaje Nori
Format: Article
Language:fas
Published: Allameh Tabataba'i University Press 2017-03-01
Series:Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī
Subjects:
Online Access:https://jims.atu.ac.ir/article_7340_b653f2de54ef709dbbbf1249d05984b3.pdf
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author Seyed Alireza Mir Mohammad Sadeghi*,
Mahdi Moghan
Mahdi Keshavarz
Mehrnoosh Keshavarz
Fatemeh Khaje Nori
author_facet Seyed Alireza Mir Mohammad Sadeghi*,
Mahdi Moghan
Mahdi Keshavarz
Mehrnoosh Keshavarz
Fatemeh Khaje Nori
author_sort Seyed Alireza Mir Mohammad Sadeghi*,
collection DOAJ
description 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
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spelling doaj.art-d0b915368f824de7b213cdca7078978d2024-01-03T04:44:42ZfasAllameh Tabataba'i University PressMuṭāli̒āt-i Mudīriyyat-i Ṣan̒atī2251-80292476-602X2017-03-01154411715710.22054/jims.2016.73407340Evaluation of system and subsystem of Tehran’s subway trains ventilation using three-stage fuzzy relational data envelopment analysisSeyed Alireza Mir Mohammad Sadeghi*,0Mahdi Moghan1Mahdi Keshavarz2Mehrnoosh Keshavarz3Fatemeh Khaje Nori4استادیار مرکز تحقیقات مهندسی سیستم ها، دانشگاه جامع امام حسین، تهرانپژوهشگر مرکز تحقیقات مهندسی سیستم ها، دانشگاه جامع امام حسین، تهراندانشجوی دکترا مهندسی صنایع، دانشکده صنایع، دانشگاه تهران، تهرانکارشناس ارشد مدیریت صنعتی، دانشکده مدیریت و حسابداری، دانشگاه علامه طباطبایی تهرانکارشناس ارشد شرکت واگن سازی تهرانSubway 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 outputshttps://jims.atu.ac.ir/article_7340_b653f2de54ef709dbbbf1249d05984b3.pdfthree stage fuzzy relational data envelopment analysisreliabilityavailabilitymaintainabilityventilation system
spellingShingle Seyed Alireza Mir Mohammad Sadeghi*,
Mahdi Moghan
Mahdi Keshavarz
Mehrnoosh Keshavarz
Fatemeh Khaje Nori
Evaluation of system and subsystem of Tehran’s subway trains ventilation using three-stage fuzzy relational data envelopment analysis
Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī
three stage fuzzy relational data envelopment analysis
reliability
availability
maintainability
ventilation system
title Evaluation of system and subsystem of Tehran’s subway trains ventilation using three-stage fuzzy relational data envelopment analysis
title_full Evaluation of system and subsystem of Tehran’s subway trains ventilation using three-stage fuzzy relational data envelopment analysis
title_fullStr Evaluation of system and subsystem of Tehran’s subway trains ventilation using three-stage fuzzy relational data envelopment analysis
title_full_unstemmed Evaluation of system and subsystem of Tehran’s subway trains ventilation using three-stage fuzzy relational data envelopment analysis
title_short Evaluation of system and subsystem of Tehran’s subway trains ventilation using three-stage fuzzy relational data envelopment analysis
title_sort evaluation of system and subsystem of tehran s subway trains ventilation using three stage fuzzy relational data envelopment analysis
topic three stage fuzzy relational data envelopment analysis
reliability
availability
maintainability
ventilation system
url https://jims.atu.ac.ir/article_7340_b653f2de54ef709dbbbf1249d05984b3.pdf
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