اولویت بندی موانع پیاده سازی سیستم مکانیزه مدیریت نگهداری و تعمیرات در سازمان (مطالعه موردی: شرکت نفت فلات قاره)

محورهای موضوعی : مدیریت صنعتی

Hadi Shiroiezadeh ¹ (Assistant Professor, Department of Industrial Engineering, Najaf Abad Branch, Islamic Azad University, Najaf Abad (Esfahan), Iran)
Ayar Karimi ² (PhD Student in Industrial Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran)
Saeed Kolahi-Randji ³ (Young Researchers and Elite Club, Ilkhichi Branch, Islamic Azad University, Ilkhichi, Iran.)

تاریخ دریافت : 1394/10/01 تاریخ پذیرش : 1395/04/28 تاریخ انتشار : 1395/06/04

کلید واژه: تاپسیس فازی, Fuzzy DEMATEL, Fuzzy TOPSIS, سیستم‌های نگهداری و تعمیرات کامپیوتری, موانع پیاده‌سازی, دیماتل فازی, Computerized maintenance management system, Barriers to implementation,

چکیده مقاله :

همزمان با ظهور انقلاب صنعتی و استفاده از ماشین‌آلات، نگهداری و تعمیرات آن نیز برای افزایش راندمان کاری و ایمنی بیشتر تجهیزات مورد توجه صاحبان صنایع قرار گرفت. مدیریت تعمیرات با رویکردی پیشگیرانه بر مبنای تجزیه‌وتحلیل درست و دقیق از داده‌ها، بررسی علت وقوع اتلاف‌ها، شناسایی علت ریشه‌ای حوادث و تعریف اقدام اصلاحی در سیستم تعمیر و نگهداشت فعالیت می‌کند. سیستم‌های مکانیزه مدیریت نگهداری و تعمیرات در سازمان‌ها نیز با همین رویکرد پیاده‌سازی شده‌اند. آمار نشان می‌دهد که بیش از ۸۰ درصد پروژه‌های CMMS با شکست مواجه می‌گردد. شناسایی موانع پیاده‌سازی CMMS می‌تواند مدیریت را جهت پیداکردن راه‌حل مفید و رفع آنها یاری کند. لذا این مقاله به شناسایی و رتبه‌بندی عوامل بحرانی موفقیت و شکست در پیاده‌سازی این سیستم‌ها با استفاده از ترکیب دو روش دیماتل و تاپسیس فازی می‌پردازد. بدین منظور در این پژوهش ابتدا پس از تعیین هدف، در گام اول چالش‌های اصلی به همراه عوامل زیرمجموعه آن‌ها که مؤثر بر پیاده‌سازی CMMS می‌باشند را با استفاده از ادبیات موضوع و نظرات خبرگان شناسایی نموده سپس در گام دوم با استفاده از روش دیماتل فازی به ارزیابی روابط بین معیارها پرداخته خواهد شد و وزن عوامل اصلی حاصل می‌شود. پس‌ از اینکه وزن هرکدام از عوامل اصلی حاصل شد در گام سوم روش تاپسیس فازی جهت رتبه‌بندی کلیه عوامل و معیارهای زیرمجموعه مورد استفاده قرار می‌گیرد. نتایج به‌کارگیری این روش ترکیبی، بیانگر این است انتخاب تأمین‌کننده نرم‌افزار و نیازسنجی درست و دقیق در خصوص CMMS به ترتیب دارای بیشترین تأثیر در پیاده‌سازی CMMS در سازمان است.

چکیده انگلیسی:

Along with the advent of the industrial revolution and the use of machinery, Its maintenance also has been taken into account by authorities in order to increase the efficiency and equipment safety levels.  Preventive maintenance performs with a preventive approach based on accurate and precise data analysis, determining the cause of loss; incidents root cause identification and defining corrective actions in maintenance system. Mechanized systems of maintenance management in the organizations have been implemented with the same approach. Statistics show that more than 80% of CMMS projects will be failed. Barrier detection of the implementation of CMMS can help management to find solutions and as a result, resolve them. So this study has been done to ascertain and rank the critical factors of success and failure in the implementation of the system, using a combination of the two DEMATEL and fuzzy TOPSIS methods. Various factors can affect the success of system implementation projects. So, in this study after determining of the goal, in the first step, the main challenges associated with their underlying factors that are affecting the implementation of CMMS, by using of literature, experts identifying and tracing their hierarchy will be discussed. In the second step, by using of the fuzzy DEMATEL to evaluate the relationships between criteria and the weighting of criteria will be measured considering the hierarchy. After determination of the weight of each criterion, as the third step fuzzy TOPSIS method is used to rank all the factors and sub-criteria. The results of using this hybrid approach (abovementioned methodology), indicated that did not select the right contractor, has the greatest impact on CMMS implementation in the organization.

منابع و مأخذ:

1. Ahrar, , & Vahdat, D. (2010). The failure of centrifugal pumps using fuzzy (A Case Study in Petrochemical Technology). the Seventh National Conference of Maintenance. Maintenance Association.


2. Aghaebrahimi Samani, B., & Makuyi, A. (2004). Evaluating issues Iranian companies in oil and gas projects by DEMATEL. Second International Conference on Project Management, Industrial Ariana Research Group.


3. Amalnik, M., Ansarinejad, A., Ansari nejad, , & Miri, N. S. (1999). Finding causal relations and ranking critical success factors and failure of information systems to help implement projects incorporating fuzzy group of ANP and DEMATEL. Journal of Engineering Industry, 44(2), 125-122.


4. BayKasogl, A., Kaplanoglu, V., Zeynep, D., & Cenk, S. (2013). Integrating Fuzzy Dematel and Fuzzy hierarchical Topsis method for truck selection. Expert system with Application, 40(40), 899-907.


5. Berger, D. (2009). Incentive-based CMMS implementation. Journal of Maintenance Management, 33(18(, 1499-1510.


6. Dalalah, D., Hayajneh, M., & Batieha, F. (2011) A Fuzzy Multi Criteria Decision Making For Supplier Selection. Expert system with Application, 38(30), 8384-8391.


7. Duran, O. (2011). Computer aided maintenance management system selection based on fuzzy AHP approach. Journal of Engineering Software, 42(28), 821-829.


8. Farahani, A., & Gonei, A. (2010). The Challenges of CMMS software in Iran. the sixth International Conference on Software, Institute for Productivity and Human Resources.


9. Ghaffari, A. (2007). feasibility of implementing a comprehensive productive maintenance system in Bandar Imam Petrochemical Complex. Journal of Industrial Engineering and Management Sharif, 1(26), 107-103.


10. Gholipour, Y., & Beiraghi, H. (1996). The Basics of Value Engineering. published cashmere. First Edition.


11. Hatami, (2012). The key success factors and obstacles to implementation of automated systems in the CMMS Maintenance Management, Case Study in Petrochemical Technology. Faculty of Management and Accounting, Islamic Azad University of Karaj. Scientific reports.


12. Maher, M. (2007). At Bhpysh needs to prepare and implement maintenance management system. Journal of steel, 3(12), 39 - 36.


13. Mohammadi janaki, M. (2012). Identifying, ranking and improve barriers to the implementation of strategic management using multi-criteria decision-making techniques and the development of quality models, case studies Petropars )Master Thesis(.


14. Masomi, , Salehi, A., & Meymand Pour, B. (2009). The use of fuzzy logic in the decision-making process condition monitoring and repairs of machinery. The fourth Technical Conference and maintenance condition monitoring devices.


15. Nejati, Sh. & Moalemi, H. (2010). The priority challenges in the implementation of CMMS software using network analysis process (ANP) provincial gas companies, gas companies Fars case study. National Congress of Electrical Engineering, Computer and Information Technology.


16. Naimi, A., & Ayat, S. (2010). The critical success factors in implementing CMMS systems in the oil and gas industry in Iran. Iranian national conference on the challenges of management and leadership in organizations, the Azad University of Science and Research.


17. Nilipour Tabatabei, A., Bagherzadeh Nayyeri, M., & Shabani, M. (2007). The functional model design and maintenance system performance and balanced assessment. Fifth International Conference on Management. Industrial Ariana Research Group


18. Sabea, , & Shirazi, M. (2001). Research Methods in Management. published by Institute of Management and Planning. Second Edition


19. Zakaria, G., Zailin, G., Riaz, Y., Mirzajahan, Z., & Aswar, K. (2010). Selecting and prioritizing key factor for CAD/CAM software in small and medium sized enterprise using AHP. 5(2), 157-164.


20. Zand Hesami, H., & HaghighatTAlab, (2014). To identify and rank the barriers to the flow of knowledge based on the knowledge management cycle. Journal of Industrial Management Faculty of Humanities, Islamic Azad University of Sanandaj. 2(24), 25-30.

1. Ahrar, K., & Vahdat, D. (2010). The failure of centrifugal pumps using fuzzy (A Case Study in Petrochemical Technology). the Seventh National Conference of Maintenance. Maintenance Association.


2. Aghaebrahimi Samani, B., & Makuyi, A. (2004). Evaluating issues Iranian companies in oil and gas projects by DEMATEL. Second International Conference on Project Management, Industrial Ariana Research Group.


3. Amalnik, M., Ansarinejad, A., Ansari nejad, S., & Miri, N. S. (1999). Finding causal relations and ranking critical success factors and failure of information systems to help implement projects incorporating fuzzy group of ANP and DEMATEL. Journal of Engineering Industry, 44(2), 125-122.


4. BayKasogl, A., Kaplanoglu, V., Zeynep, D., & Cenk, S. (2013). Integrating Fuzzy Dematel and Fuzzy hierarchical Topsis method for truck selection. Expert system with Application, 40(40), 899-907.


5. Berger, D. (2009). Incentive-based CMMS implementation. Journal of Maintenance Management,  33(18(, 1499-1510.


6. Dalalah, D., Hayajneh, M., & Batieha, F. (2011) A Fuzzy Multi Criteria Decision Making For Supplier Selection. Expert system with Application, 38(30), 8384-8391.


7. Duran, O. (2011). Computer aided maintenance management system selection based on fuzzy AHP approach. Journal of Engineering Software, 42(28), 821-829.


8. Farahani, A., & Gonei, A. (2010). The Challenges of CMMS software in Iran. the sixth International Conference on Software, Institute for Productivity and Human Resources.


9. Ghaffari, A. (2007). feasibility of implementing a comprehensive productive maintenance system in Bandar Imam Petrochemical Complex. Journal of Industrial Engineering and Management Sharif, 1(26), 107-103.


10.  Gholipour, Y., & Beiraghi, H. (1996). The Basics of Value Engineering. published cashmere. First Edition.


11. Hatami,  M. (2012). The key success factors and obstacles to implementation of automated systems in the CMMS Maintenance Management, Case Study in Petrochemical Technology. Faculty of Management and Accounting, Islamic Azad University of Karaj. Scientific reports.


12. Maher, M. (2007). At Bhpysh needs to prepare and implement maintenance management system. Journal of steel, 3(12), 39 - 36.


13. Mohammadi janaki, M. (2012). Identifying, ranking and improve barriers to the implementation of strategic management using multi-criteria decision-making techniques and the development of quality models, case studies Petropars )Master Thesis(. University.


14. Masomi, Gh., Salehi, A., & Meymand Pour, B. (2009). The use of fuzzy logic in the decision-making process condition monitoring and repairs of machinery. The fourth Technical Conference and maintenance condition monitoring devices.


15. Nejati, Sh. & Moalemi, H. (2010). The priority challenges in the implementation of CMMS software using network analysis process (ANP) provincial gas companies, gas companies Fars case study. National Congress of Electrical Engineering, Computer and Information Technology.


16. Naimi, A., & Ayat, S. (2010). The critical success factors in implementing CMMS systems in the oil and gas industry in Iran. Iranian national conference on the challenges of management and leadership in organizations, the Azad University of Science and Research.


17. Nilipour Tabatabei, A., Bagherzadeh Nayyeri, M., & Shabani, M. (2007). The functional model design and maintenance system performance and balanced assessment. Fifth International Conference on Management. Industrial Ariana Research Group


18. Sabea, M., & Shirazi, M. (2001). Research Methods in Management. published by Institute of Management and Planning. Second Edition


19. Zakaria, G., Zailin, G., Riaz, Y., Mirzajahan, Z., & Aswar, K. (2010). Selecting and prioritizing key factor for CAD/CAM software in small and medium sized enterprise using AHP. 5(2), 157-164.


20. Zand Hesami, H., & HaghighatTAlab, M. (2014). To identify and rank the barriers to the flow of knowledge based on the knowledge management cycle. Journal of Industrial Management Faculty of Humanities, Islamic Azad University of Sanandaj. 2(24), 25-30.