اندازه گیری کارآیی نسبی مراکز سوئیچ راه دور بر اساس طبقه بندی سلسله مراتبی اطلاعات با روش تحلیل پوششی داده ها «مطالعه موردی : مراکز استانی شرکت ارتباطات زیرساخت»
محورهای موضوعی : مدیریت بازرگانی
ابراهیم کیوان
1
(
دانش آموخته، گروه مدیریت فناوری اطلاعات ، واحدالکترونیکی تهران ،دانشگاه آزاداسلامی، ،تهران،ایران
)
مهدی فرشید فرزاد
2
(
استادیار، گروه IT و کامپیوتر ، واحد پرند ،دانشگاه آزاد اسلامی، پرند، ایران
)
رضا رادفر
3
(
دانشیار، گروه مدیریت صنعتی،واحد علوم و تحقیقات تهران ،دانشگاه آزاد اسلامی،تهران، ایران
)
نیر سرخابی
4
(
کارشناس ارشد، گروه حسابداری ،واحد الکترونیکی تهران ،دانشگاه آزاد اسلامی ،تهران، ایران
)
کلید واژه: DEA, AHP, مرکز سوئیچ راه دور, SC, PC, کارآیی نسبی, EFQM,
چکیده مقاله :
تداوم هر کسب و کاری بستگی به سود معقول اقتصادی داشته و میزان سود اقتصادی نیز با کارآیی رابطه مستقیم دارد. برای مدیریت و مقایسه واحدهای تصمیم گیری همگن از کارآیی نسبی استفاده می شود. ابتدا با استفاده از اطلاعات بهترین تولید کنندگان و ارائه دهندگان خدمات، مرزی به عنوان مرز کارآیی تولید یا خدمات ساخته می شود به طوری که فعالیت بر روی این مرز به عنوان بهترین عملکرد و در زیر این مرز به عنوان ناکارآیی تلقی می شود. یکی از روش های تخمین مرز کارآیی و اندازه گیری کارآیی نسبی، روش برنامه ریزی خطی است که به آن رویکرد تحلیل پوششی داده ها هم می گویند. در این تحقیق ابتدا با جمع آوری نظر خبرگان و استفاده از مقایسات زوجی، شاخص های مؤثر بر کارآیی مراکز سوئیچ راه دور تعیین، سپس کارآیی نسبی 39 مرکز سوئیچ راه دور با روش DEA و در شرایط بازده به مقیاس ثابت و متغیر اندازه گیری شده اند. نتایج تحقیق نشان می دهد، در شرایط بازده به مقیاس ثابت، میانگین کارآیی نسبی مراکز سوئیچ راه دور 23/80 درصد بوده و 11 مرکز از 39 مرکز سوئیچ راه دور دارای کارآیی 100 درصد می باشند. در شرایط بازده به مقیاس متغیر، میانگین کارآیی نسبی 77/97 درصد بوده و 25 مرکز از 39 مرکز دارای کارآیی 100 درصد می باشند.
The continuity of every business depends on rational economic profit, and the amount of economic profit is directly related to efficiency. For management and comparison of similar decision making units (DMUS), relative efficiency is usually used. Tow methods are generally used for efficiency measurement, ratio Analysis and Efficiency Bound Analysis. In the Efficiency Bound Analysis method, at first a boundary is made via the information from the best producers or service providers, so that any activity above this boundary is considered the best performance, and any activity below it is viewed as inefficiency. One of the methods of estimating Efficiency Bound and measuring Relative Efficiency is Linear Programming, which is also called Data Envelopment Analysis (DEA). In this research at first by obtaining the views of the extperts and using pairwise comparisons, the researchers determined the indexes effective on the relative efficiency of toll switched exchanges (Sc/Pcs). Next, the relative efficiency of 39 Sclpc was measured in the constant and variable Return to Scale (CRS, VRS) conditions. Also, additional measurements of DEA and Anderson Piterson (AP), Multi Criteria Decision Making (MCDM) and fuzzy MCDM (FMCDM) were used for ranking Sc/Pcs. The results indicate that in CRS conditions, the average of relative efficiency is 80.23 percent, and that 11 sc/pcs out of 39 Sc/Pcs have 100 percent efficiency. Likewise, in VRS conditions, the average of relative efficiency is 97.77 percent, and 25 Sc/Pcs out of 39 Sc/Pcs have 100% efficiency. An other results of this research indicates that, the moment coefficients of Manpower, Quality of Services and Maintenace have been calculated. The amounts of them are ranked with 0.424, 0.334 and 0.242.
Asgharizadeh, E., Ansari, M., & Kiani Mavi, Z. (2006). Weighing and Ranking of Indexes Affecting on the Quality of Automobile Tires using Multi-Factor Decision Making Techniques - Case Study: Kaveh Tayer. Management Knowledge Management Quarterly, 75, (In Persian).
Azar, A., & Turkashvand, A. (2006). Evaluation of Educational and Research Performance by Data Envelopment Analysis Model: Teaching Departments of Faculty of Humanities at Tarbiat Modares University. Modarres Quarterly, 10(1), (In Persian).
Cooper, w, Seiford, M & Tone, K (2007), "Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software", Springer Science+ Business Media, LLC.
Banker, R.D. Charnes, A., Cooper, W.W., (1984), Models for Estimating Technical Scale Efficiencies in Data Envelopment Analysis, Management Science, Vol.30, P1078-1092.
Bowlin, W.F (1998), Measuring Performance: an Introduction to Data Envelopment Analysis, Journal of cost analysis.
Charnes, A., W.W., Rhodes (1984), Measuring the efficiency of Decision Making Units, Journal of Operation Research No.2, P 429-444.
Fazli, S., & Azar, A. (2002). Designing a Math Model for Managing Performance Evaluation Using Data Envelopment Analysis (DEA). Magazine Tarbiat Modarres University, 6(3), (In Persian).
Imami Meybodi, A. (2000). Principles of Measuring Productivity and Effectiveness (Scientific and Applied). Institute for Business Studies and Research, (In Persian).
Khojavi, Sh., Salimifard, A., & Rabeya, M. (2005). Application of Data Envelopment Analysis in Determining the Portfolio of the Most Efficient Companies Accepted in Tehran Stock Exchange. Journal of Social Sciences and Humanities, 43, (In Persian).
Kochakzadeh, A., & Saati, S. (1999). Solving the Fuzzy BCC Model in Data Envelopment Analysis. Tarbiat Modarres University. 4th International Industrial Engineering Conference, (In Persian).
Mehregan, M. R., Kamyab Moghadas, A., & Kazemi, A. (2008). An Ideal Planning Model for Assessing Oil Refineries of the Country. Management Knowledge, 81, (In Persian).
Mir Fakhreddini, S. H., Farid, D., & Sayadi Toranloo, H. (2009). Using the EFQM Model to Analyze the Dimensions of Organizational Culture in Health Centers- Case Study: Yazd Hospitals. Shahid Sadoughi University of Medical Sciences and Health Services Yazd, 17(2), (In Persian).
Mohammadi Ardakani, M. A., Mir Ghafouri, S. H., Mir Fakhreddini, S., Haidar, M., & Momeni, H. (2009). Evaluation of Relative Efficiency of Public Hospitals in Yazd Province Using Data Envelopment Analysis Model. Journal of Shaheed Sadoughi University of Medical Sciences and Health Services, 17(2), (In Persian).
Momeni, M. (2007). Statistical Analysis Using SPSS. Ketabe No Publishing, (In Persian).
Mounirian, A., & Nour, A. (2005). Designing and Explaining the Human Resources Empowerment Model in the Telecommunications Company of Tehran Province. Administrative Transformation Monthly, 10(54), (In Persian).
Rajabzadeh, A., Khodad Hosseini, S. H., & Parvizian, K. (2005). Designing a Staff Evaluation System in the Banking System: Using Analytical Hierarchy Process Analysis. Daneshvar Raftar, 14, (In Persian).
Safari, S., & Azar, A. (2004). Evaluation of Organizational Performance Based on Quality Award Indicators-DEA Approach. Daneshvar Raftar, 8, (In Persian).
Sarir Afraz, M. (2010). Ranking of Indicators of Urban Welfare in Different Regions of Tehran. Journal of Urban Planning Research, 1, (In Persian).
Soraya, S. A., Nourifar, R., & Heidarzadeh, A. (2006). Prioritizing the Indicators of Human Resource Performance Evaluation Using AHP-Fuzzy. Fourth International Management Conference, (In Persian).
Toluzi Ashlaghi, A., & Hosseini Khezri, S. M. (2007). Evaluation of the Efficiency of Provincial Gas Companies Purchasing Units with data Envelopment Analysis. Technical Technical Journal, 38, (In
_||_Asgharizadeh, E., Ansari, M., & Kiani Mavi, Z. (2006). Weighing and Ranking of Indexes Affecting on the Quality of Automobile Tires using Multi-Factor Decision Making Techniques - Case Study: Kaveh Tayer. Management Knowledge Management Quarterly, 75, (In Persian).
Azar, A., & Turkashvand, A. (2006). Evaluation of Educational and Research Performance by Data Envelopment Analysis Model: Teaching Departments of Faculty of Humanities at Tarbiat Modares University. Modarres Quarterly, 10(1), (In Persian).
Cooper, w, Seiford, M & Tone, K (2007), "Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software", Springer Science+ Business Media, LLC.
Banker, R.D. Charnes, A., Cooper, W.W., (1984), Models for Estimating Technical Scale Efficiencies in Data Envelopment Analysis, Management Science, Vol.30, P1078-1092.
Bowlin, W.F (1998), Measuring Performance: an Introduction to Data Envelopment Analysis, Journal of cost analysis.
Charnes, A., W.W., Rhodes (1984), Measuring the efficiency of Decision Making Units, Journal of Operation Research No.2, P 429-444.
Fazli, S., & Azar, A. (2002). Designing a Math Model for Managing Performance Evaluation Using Data Envelopment Analysis (DEA). Magazine Tarbiat Modarres University, 6(3), (In Persian).
Imami Meybodi, A. (2000). Principles of Measuring Productivity and Effectiveness (Scientific and Applied). Institute for Business Studies and Research, (In Persian).
Khojavi, Sh., Salimifard, A., & Rabeya, M. (2005). Application of Data Envelopment Analysis in Determining the Portfolio of the Most Efficient Companies Accepted in Tehran Stock Exchange. Journal of Social Sciences and Humanities, 43, (In Persian).
Kochakzadeh, A., & Saati, S. (1999). Solving the Fuzzy BCC Model in Data Envelopment Analysis. Tarbiat Modarres University. 4th International Industrial Engineering Conference, (In Persian).
Mehregan, M. R., Kamyab Moghadas, A., & Kazemi, A. (2008). An Ideal Planning Model for Assessing Oil Refineries of the Country. Management Knowledge, 81, (In Persian).
Mir Fakhreddini, S. H., Farid, D., & Sayadi Toranloo, H. (2009). Using the EFQM Model to Analyze the Dimensions of Organizational Culture in Health Centers- Case Study: Yazd Hospitals. Shahid Sadoughi University of Medical Sciences and Health Services Yazd, 17(2), (In Persian).
Mohammadi Ardakani, M. A., Mir Ghafouri, S. H., Mir Fakhreddini, S., Haidar, M., & Momeni, H. (2009). Evaluation of Relative Efficiency of Public Hospitals in Yazd Province Using Data Envelopment Analysis Model. Journal of Shaheed Sadoughi University of Medical Sciences and Health Services, 17(2), (In Persian).
Momeni, M. (2007). Statistical Analysis Using SPSS. Ketabe No Publishing, (In Persian).
Mounirian, A., & Nour, A. (2005). Designing and Explaining the Human Resources Empowerment Model in the Telecommunications Company of Tehran Province. Administrative Transformation Monthly, 10(54), (In Persian).
Rajabzadeh, A., Khodad Hosseini, S. H., & Parvizian, K. (2005). Designing a Staff Evaluation System in the Banking System: Using Analytical Hierarchy Process Analysis. Daneshvar Raftar, 14, (In Persian).
Safari, S., & Azar, A. (2004). Evaluation of Organizational Performance Based on Quality Award Indicators-DEA Approach. Daneshvar Raftar, 8, (In Persian).
Sarir Afraz, M. (2010). Ranking of Indicators of Urban Welfare in Different Regions of Tehran. Journal of Urban Planning Research, 1, (In Persian).
Soraya, S. A., Nourifar, R., & Heidarzadeh, A. (2006). Prioritizing the Indicators of Human Resource Performance Evaluation Using AHP-Fuzzy. Fourth International Management Conference, (In Persian).
Toluzi Ashlaghi, A., & Hosseini Khezri, S. M. (2007). Evaluation of the Efficiency of Provincial Gas Companies Purchasing Units with data Envelopment Analysis. Technical Technical Journal, 38, (In
