انتخاب استراتژی نگهداری و تعمیرات به منظور بهبود شاخص های ارزیابی قابلیت اطمینان و تعمیرپذیری
محورهای موضوعی : مدیریت بازرگانی
چنگیز والمحمدی
1
(دانشیار، گروه مدیریت فناوری واطلاعات،واحد تهران جنوب،دانشگاه آزاد اسلامی،تهران، ایران.)
جواد صوفیابادی
2
(کارشناس ارشد، باشگاه پژوهشگران جوان، دانشگاه آزاداسلامی، فیروزکوه. تهران،ایران)
فخرالدین لطف زاده
3
(کارشناس ارشد، مدیریت صنعتی،واحدتهران جنوب دانشگاه آزاد اسلامی،تهران، ایران)
کلید واژه: نت بهره ورفراگیر, نت مبتنی بر قابلیت اطمینان, میانگین زمان بین خرابی, میانگین زمان تعمیر,
چکیده مقاله :
هدف تحقیق حاضرانتخاب استراتژی نت با توجه به تأثیرگذاری نوع استراتژی بر بهبود شاخص های ارزیابی قابلیت اطمینان و تعمیرپذیری در یک شرکت تأمین کننده تجهیزات و ماشین آلات حوزه نفت و گازمیباشد. پژوهش پیش رو بر اساس هدف و نوع گردآوری داده ها، کاربردی و آزمایشی است. داده های تحقیق با بهره مندی از فرم های استاندارد بازدید روزانه، علت و معلول و آنالیز اثرات و حالات خرابی از نه دستگاه تراش طی دو فاز مطالعاتی استخراج شده است. با تأیید نرمال بودن داده ها، فرضیات تحقیق با آزمون فرض میانگین یک جامعه،T زوجی و ضریب همبستگی درون گروهی مورد بررسی قرار گرفت. در فاز اول، استراتژی نت بهره ور فراگیر و نت مبتنی بر قابلیت اطمینان اجرا شد و در فاز دوم استراتژی نت ترکیبی اجرا گردید. در هر دو مرحله شاخص های میانگین زمان بین خرابی و میانگین زمان تعمیر مورد سنجش و ارزیابی قرار گرفت تا تأثیرات سه استراتژی مقایسه و بهترین استراتژی نت انتخاب شود. نتایج نشان می دهد، استراتژی نت ترکیبی موجب بهبود شاخص های ارزیابی قابلیت اطمینان و تعمیرپذیری و افزایش بهره وری ماشین آلات و تجهیزات می شود.
The main purpose of this study was to select a preventive and maintenance net strategy to improve the assessment indexes of dependability and variability in a company providing the gas and oil machinery and equipment for oil and gas production. The research method was an applied and experimental one. To gather the data, the standard daily visit, the cause and effect analysis of using lathe damages of nine machine system during the two study phases were investigated. The research hypotheses, after confirming the normality of the data, were analyzed through mean hypothesis of one population, paired T- test, and between group correlation coefficient. In the first phase, the inclusive net strategy based on mean time for maintenance and net based on dependability were administered. In the second phase the combined net strategy was administered. In both phases the mean time indexes between failure and repair were assessed to see the effects of three compared strategies and the best net strategy was chosen. The results showed that the combined net strategy produced the improvement of the assessment indexes of dependability and variability and also increased the productivity of machinery and equipments.
Afsar, A., Jafarnejad, A., & Sadeghimoghadam, M. (2007), Gas-Station Predictive Maintenance Planning with Hybrid Model of Fuzzy Neutral Network and PCA. Business Strategies, 1(20), 37-48, (In Persian).
Aghaii, A., Akbari, M., & Mohamadi, K. (2011), Investigation Factors Affecting the Implementation of Preventive Maintenance Notes NAJA Vehicles. Towsee Human Resource Management, 22,109-132, (In Persian).
Ahuja, I. P. S., & Khamba, J. S. (2008), Total Productive Maintenance: Literature Review and Directions. International Journal of Quality & Reliability Management, 25(7), 709-756.
Alam Tabriz, A., & Bahrami, M. (2009), Assessment of Readiness for Implementation of TPM (Case Study in Iran Chassis Maker Company). Industrial Management Studies, 13, 1-18, (In Persian).
Altuve, H. J., Zimmerman, K., & Tziouvaras, D. (2015), Maximizing Line Protection Reliability, Speed, and Security.
Altuve, H. J., Zimmerman, K., & Tziouvaras, D. (2016). Maximizing Line Protection Reliability, Speed, and Sensitivity.
Baluch, N., Abdullah, C. S. B., & Mohtar, S. B. (2011), Maintenance Management Performance-an Overview Towards Evaluating Malaysian Palm Oil Mill. The Asian Journal of Technology Management (AJTM), 3(1).
Bhadury, B. (2000), Management of Productivity through TPM. Productivity, 41(2), 240-251.
Braglia, M., Carmignani, G., Frosolini, M., & Zammori, F. (2012), Data Classification and MTBF Prediction with a Multivariate Analysis Approach. Reliability Engineering & System Safety, 97(1), 27-35.
Chemweno, P., Morag, I., Sheikhalishahi, M., Pintelon, L., Muchiri, P., & Wakiru, J. (2016), Development of a Novel Methodology for Root Cause Analysis and Selection of Maintenance Strategy for a thermal Power Plant: A Data Exploration Approach. Engineering Failure Analysis, 66, 19-34.
Chong, A. B. (2014), Product Level MTBF Calculation. 5th International Conference on Intelligent Systems, Modelling and Simulation.
Dai, Y., & Li, B. Q. (2013), The Interval Estimation of MTBF Based on Markov Chain Monte Carlo Method. 19th International Conference on Industrial Engineering and Engineering Management.
Dong, H., Zhu, J., Zhu, K., & Shi, Y.(2014), Maintainability Assessment of a Complex System Based on Field Data. Proceedings of the First Symposium on Aviation Maintenance and Management.
Dong, Z., Chuan, L., Yongxiang, L., & Zhiqi, G. (2014), A System's Mean Time To Repair Allocation Method Based on the Time Factors. Quality and Reliability Engineering International, 30(2), 247-256.
Fouladgar, M. M., Yazdani-Chamzini, A., Lashgari, A., Zavadskas, E. K., & Turskis, Z. (2012), Maintenance Strategy Selection Using AHP and Copras under Fuzzy Environment. International Journal of Strategic Property Management, 16(1), 85-104.
Guo, B., & Chen, J. (2013), Analysis of MTBF/MTTR for Logistics Service System. Fourth International Conference on Transportation Engineering.
Gupta, P., Gupta, S., & Gandhi, O. P. (2013), Modelling and Evaluation of Mean Time to Repair at Product Design Stage Based on Contextual Criteria. Journal of Engineering Design, 24(7), 499-523.
Haj Shir Mohammadi, A. (2007), Total Productive Maintenance. Esfahan: Arkan Publication, (In Persian).
Haj Shir Mohammadi, A. (2004), Maintenance Planning. Esfahan: Ghazal Publication, (In Persian).
Hotta, G., Kanetake, N., Nishimura, T., Ohbuchi, Y., & Sakamoto, H. (2014), Analysis of the Human Factor which Affects the Reliability of Machinery. Zairyo/Journal of the Society of Materials Science, 63(2), 149-153.
Ilangkumaran, M., & Kumanan, S. (2009), Selection of Maintenance Policy for Textile Industry Using Hybrid Multi-Criteria Decision Making Approach. Journal of Manufacturing Technology Management, 20(7), 1009-1022.
Jafari, a., Jafarian, m., Zareei, a., & Zaerpour, F. (2008), Using Fuzzy Delphi Method in Maintenance Strategy Selection Problem, Journal of Uncertain Systems, 2(4), 289-298.
Kan, Y., Zhu, X., Wang, L., Xu, B., Yang, Z., & Li, H. (2015), Comparison between Bayesian Method and LSE in Estimating MTBF of NC Machine Tools. Computer Science and Mechanical Automation (CSMA).
Khaki, Gh. (2011), Research Methodology with Dissertational Approach. Tehran: Baztab Publication, (In Persian).
Kolahan, F., Doust Parast, & M., Mamourian, M. (2007), Determine the Type and Timing of Optimal Maintenance and Preventive Maintenance of Multi-Component Systems Based on Reliability. Journal of Algorithms and Computation, 41, 511-523, (In Persian).
Leiva, G. P. A., Curilem, M., Araya, B., Miranda, R., & Garrido, F. (2014), Predictive Models Applied to Heavy Duty Equipment Management. Mexican International Conference on Artificial Intelligence.
Moubray, J. (2010), Reliability-Centered Maintenance. Tehran: Ariyana Ghalam Publication, (In Persian).
Movahhedi, M., Rezaee Nosraty, V., & Yazdani, A. (2009), Condition Monitoring (CM): A Solution for Reducing the Industry Expenses. Journal of Development & Evolution Mnagement, 1, 59-65, (In Persian).
Nezami, F. G., & Yildirim, M. B. (2013), A Sustainability Approach for Selecting Maintenance Strategy. International Journal of Sustainable Engineering, 6(4), 332-343.
Nikolopoulos, K., Metaxiotis, K., Lekatis, N., & Assimakopoulos, V. (2003), Integrating Industrial Maintenance Strategy into ERP. Industrial Management & Data Systems, 3(3), 184-191.
Nilipor Tabatabaii, A., Bagherzadeniri, M., & Shabani Sichani, M. (2007), Design of the Applied Model of Balanced Assessment of the Maintenance System.5th International Management Conference, (In Persian).
Pinjala, S. K., Pintelon, L., & Vereecke, A. (2006), An Empirical Investigation on the Relationship between Business and Maintenance Strategies. International Journal of Production Economics, 104(1), 214-229.
Puvanasvaran, A. P., Teoh, Y.S., & Tay, C.C.(2014), Interrelationship Between Availability with Planning Factor and Mean Time Between Failures (MTBF) in Overall Equipment Effectiveness (OEE). Journal of Advanced Manufacturing Technology (JAMT), 6(2).
Sharma, R. K., Kumar, D., & Kumar, P. (2005), FLM to Select Suitable Maintenance Strategy in Process Industries Using MISO Model. Journal of Quality in Maintenance Engineering, 11(4), 359-374.
Swanson, L. (2001), Linking Maintenance Strategies to Performance. International Journal of Production Economics, 70(3), 237-244.
Tajadod, M., Abedini, M., Rategari, A., & Mobin, M.(2016), A Comparison of Multi-Criteria Decision Making Approaches for Maintenance Strategy Selection (A Case Study). International Journal of Strategic Decision Sciences (IJSDS), 7(3), 51-69.
Velmurugan, R. S., & Dhingra, T. (2015), Maintenance Strategy Selection and its Impact in Maintenance Function: A Conceptual Framework. International Journal of Operations & Production Management, 35(12), 1622-1661.
Venkatesh, J.(2007), An Introduction to Total Productive Maintenance (TPM). The Plant Maintenance Resource Center.
Vishnu, C. R., & Regikumar, V.(2016), Reliability Based Maintenance Strategy Selection in Process Plants: A Case Study. Procedia Technology, 25, 1080-1087.
Wal, R. W. E., & Lynn, D. (2002), Total Productive Maintenance in a South African Pulp and Paper Company: A Case Study. The TQM Magazine. 14(6), 356-366.
Wu, X., Xu, D., Wang, B. Q., & Mu, G. (2013), Equipment MTTR Demonstration Method Based on Virtual Simulation. Mechanics and Materials, 401, 1855-1858.
Xia, W., Shi, Q., Wang, F., Ge, H., & Chen, C. (2016), Research on Network Maintenance Strategy Selection Based on Analytic Hierarchy Process and Technique for Order Preference by Similarity to Ideal Solution Algorithm. Journal of Shanghai Jiaotong University (Science), 21(5), 588-593.
Zaim, S., Turkyilmaz, A., Acar, M. F., Al-Turki, U., & Demirel, O. F. (2012), Maintenance Strategy Selection Using AHP and ANP Algorithms: A Case Study. Journal of Quality in Maintenance Engineering, 18(1), 16-29.
_||_Afsar, A., Jafarnejad, A., & Sadeghimoghadam, M. (2007), Gas-Station Predictive Maintenance Planning with Hybrid Model of Fuzzy Neutral Network and PCA. Business Strategies, 1(20), 37-48, (In Persian).
Aghaii, A., Akbari, M., & Mohamadi, K. (2011), Investigation Factors Affecting the Implementation of Preventive Maintenance Notes NAJA Vehicles. Towsee Human Resource Management, 22,109-132, (In Persian).
Ahuja, I. P. S., & Khamba, J. S. (2008), Total Productive Maintenance: Literature Review and Directions. International Journal of Quality & Reliability Management, 25(7), 709-756.
Alam Tabriz, A., & Bahrami, M. (2009), Assessment of Readiness for Implementation of TPM (Case Study in Iran Chassis Maker Company). Industrial Management Studies, 13, 1-18, (In Persian).
Altuve, H. J., Zimmerman, K., & Tziouvaras, D. (2015), Maximizing Line Protection Reliability, Speed, and Security.
Altuve, H. J., Zimmerman, K., & Tziouvaras, D. (2016). Maximizing Line Protection Reliability, Speed, and Sensitivity.
Baluch, N., Abdullah, C. S. B., & Mohtar, S. B. (2011), Maintenance Management Performance-an Overview Towards Evaluating Malaysian Palm Oil Mill. The Asian Journal of Technology Management (AJTM), 3(1).
Bhadury, B. (2000), Management of Productivity through TPM. Productivity, 41(2), 240-251.
Braglia, M., Carmignani, G., Frosolini, M., & Zammori, F. (2012), Data Classification and MTBF Prediction with a Multivariate Analysis Approach. Reliability Engineering & System Safety, 97(1), 27-35.
Chemweno, P., Morag, I., Sheikhalishahi, M., Pintelon, L., Muchiri, P., & Wakiru, J. (2016), Development of a Novel Methodology for Root Cause Analysis and Selection of Maintenance Strategy for a thermal Power Plant: A Data Exploration Approach. Engineering Failure Analysis, 66, 19-34.
Chong, A. B. (2014), Product Level MTBF Calculation. 5th International Conference on Intelligent Systems, Modelling and Simulation.
Dai, Y., & Li, B. Q. (2013), The Interval Estimation of MTBF Based on Markov Chain Monte Carlo Method. 19th International Conference on Industrial Engineering and Engineering Management.
Dong, H., Zhu, J., Zhu, K., & Shi, Y.(2014), Maintainability Assessment of a Complex System Based on Field Data. Proceedings of the First Symposium on Aviation Maintenance and Management.
Dong, Z., Chuan, L., Yongxiang, L., & Zhiqi, G. (2014), A System's Mean Time To Repair Allocation Method Based on the Time Factors. Quality and Reliability Engineering International, 30(2), 247-256.
Fouladgar, M. M., Yazdani-Chamzini, A., Lashgari, A., Zavadskas, E. K., & Turskis, Z. (2012), Maintenance Strategy Selection Using AHP and Copras under Fuzzy Environment. International Journal of Strategic Property Management, 16(1), 85-104.
Guo, B., & Chen, J. (2013), Analysis of MTBF/MTTR for Logistics Service System. Fourth International Conference on Transportation Engineering.
Gupta, P., Gupta, S., & Gandhi, O. P. (2013), Modelling and Evaluation of Mean Time to Repair at Product Design Stage Based on Contextual Criteria. Journal of Engineering Design, 24(7), 499-523.
Haj Shir Mohammadi, A. (2007), Total Productive Maintenance. Esfahan: Arkan Publication, (In Persian).
Haj Shir Mohammadi, A. (2004), Maintenance Planning. Esfahan: Ghazal Publication, (In Persian).
Hotta, G., Kanetake, N., Nishimura, T., Ohbuchi, Y., & Sakamoto, H. (2014), Analysis of the Human Factor which Affects the Reliability of Machinery. Zairyo/Journal of the Society of Materials Science, 63(2), 149-153.
Ilangkumaran, M., & Kumanan, S. (2009), Selection of Maintenance Policy for Textile Industry Using Hybrid Multi-Criteria Decision Making Approach. Journal of Manufacturing Technology Management, 20(7), 1009-1022.
Jafari, a., Jafarian, m., Zareei, a., & Zaerpour, F. (2008), Using Fuzzy Delphi Method in Maintenance Strategy Selection Problem, Journal of Uncertain Systems, 2(4), 289-298.
Kan, Y., Zhu, X., Wang, L., Xu, B., Yang, Z., & Li, H. (2015), Comparison between Bayesian Method and LSE in Estimating MTBF of NC Machine Tools. Computer Science and Mechanical Automation (CSMA).
Khaki, Gh. (2011), Research Methodology with Dissertational Approach. Tehran: Baztab Publication, (In Persian).
Kolahan, F., Doust Parast, & M., Mamourian, M. (2007), Determine the Type and Timing of Optimal Maintenance and Preventive Maintenance of Multi-Component Systems Based on Reliability. Journal of Algorithms and Computation, 41, 511-523, (In Persian).
Leiva, G. P. A., Curilem, M., Araya, B., Miranda, R., & Garrido, F. (2014), Predictive Models Applied to Heavy Duty Equipment Management. Mexican International Conference on Artificial Intelligence.
Moubray, J. (2010), Reliability-Centered Maintenance. Tehran: Ariyana Ghalam Publication, (In Persian).
Movahhedi, M., Rezaee Nosraty, V., & Yazdani, A. (2009), Condition Monitoring (CM): A Solution for Reducing the Industry Expenses. Journal of Development & Evolution Mnagement, 1, 59-65, (In Persian).
Nezami, F. G., & Yildirim, M. B. (2013), A Sustainability Approach for Selecting Maintenance Strategy. International Journal of Sustainable Engineering, 6(4), 332-343.
Nikolopoulos, K., Metaxiotis, K., Lekatis, N., & Assimakopoulos, V. (2003), Integrating Industrial Maintenance Strategy into ERP. Industrial Management & Data Systems, 3(3), 184-191.
Nilipor Tabatabaii, A., Bagherzadeniri, M., & Shabani Sichani, M. (2007), Design of the Applied Model of Balanced Assessment of the Maintenance System.5th International Management Conference, (In Persian).
Pinjala, S. K., Pintelon, L., & Vereecke, A. (2006), An Empirical Investigation on the Relationship between Business and Maintenance Strategies. International Journal of Production Economics, 104(1), 214-229.
Puvanasvaran, A. P., Teoh, Y.S., & Tay, C.C.(2014), Interrelationship Between Availability with Planning Factor and Mean Time Between Failures (MTBF) in Overall Equipment Effectiveness (OEE). Journal of Advanced Manufacturing Technology (JAMT), 6(2).
Sharma, R. K., Kumar, D., & Kumar, P. (2005), FLM to Select Suitable Maintenance Strategy in Process Industries Using MISO Model. Journal of Quality in Maintenance Engineering, 11(4), 359-374.
Swanson, L. (2001), Linking Maintenance Strategies to Performance. International Journal of Production Economics, 70(3), 237-244.
Tajadod, M., Abedini, M., Rategari, A., & Mobin, M.(2016), A Comparison of Multi-Criteria Decision Making Approaches for Maintenance Strategy Selection (A Case Study). International Journal of Strategic Decision Sciences (IJSDS), 7(3), 51-69.
Velmurugan, R. S., & Dhingra, T. (2015), Maintenance Strategy Selection and its Impact in Maintenance Function: A Conceptual Framework. International Journal of Operations & Production Management, 35(12), 1622-1661.
Venkatesh, J.(2007), An Introduction to Total Productive Maintenance (TPM). The Plant Maintenance Resource Center.
Vishnu, C. R., & Regikumar, V.(2016), Reliability Based Maintenance Strategy Selection in Process Plants: A Case Study. Procedia Technology, 25, 1080-1087.
Wal, R. W. E., & Lynn, D. (2002), Total Productive Maintenance in a South African Pulp and Paper Company: A Case Study. The TQM Magazine. 14(6), 356-366.
Wu, X., Xu, D., Wang, B. Q., & Mu, G. (2013), Equipment MTTR Demonstration Method Based on Virtual Simulation. Mechanics and Materials, 401, 1855-1858.
Xia, W., Shi, Q., Wang, F., Ge, H., & Chen, C. (2016), Research on Network Maintenance Strategy Selection Based on Analytic Hierarchy Process and Technique for Order Preference by Similarity to Ideal Solution Algorithm. Journal of Shanghai Jiaotong University (Science), 21(5), 588-593.
Zaim, S., Turkyilmaz, A., Acar, M. F., Al-Turki, U., & Demirel, O. F. (2012), Maintenance Strategy Selection Using AHP and ANP Algorithms: A Case Study. Journal of Quality in Maintenance Engineering, 18(1), 16-29.