A DEA approach for investigating the effect of computerized maintenance management system on staff productivity: A case Study
Subject Areas : Statistics
M.
Soltani
1
(Department of Mathematics Najafabad Branch, Islamic Azad University, Najafabad, Iran)
A.
Hadi-Vencheh
2
(Department of Mathematics, Isfahan Branch, Islamic Azad University, Isfahan, Iran)
Keywords: سیستم مکانیزه تعمیرات (CMMS), بهرهوری کارکنان, رضایتمندی شغلی, تحلیل پوششی دادهها, تحلیل حساسیت, قابلیت اطمینان, پایداری تولید,
Abstract :
According to the growing trend of IT-based systems, implementation of computerized maintenance management system (CMMS) in Iran’s power industry can dramatically help in optimized management of maintenance activities, and thereby, reducing equipment failures, increasing reliability, increasing product stability and, above all, increasing efficiency and productivity of the employees of this industry. The aim of this article was to examine the impact of computerizing the maintenance and repair process on efficiency of the staff of Isfahan south power plant, measure the efficiency of staff, identification of efficient and inefficient staff, rating of efficient staff, and finally, to investigate and compare the effect of factors influencing their efficiency to increase the organization productivity with job satisfaction approach. To do this, after identifying factors contributing to job satisfaction of employees through questionnaires distributed among 40 employees associated with CMMS, a DEA including four job satisfaction inputs and outputs was defined. With solving the model by CCR method, the efficient and inefficient employees were determined. The results of sensitivity analysis on model inputs determined the effect of each input on the output in accordance with the following ranking:1. Workplace safety and ergonomics2. Computerizing maintenance management system (CMMS)3. Training4. Job natureThe results indicated that the CMMS has the second ranking among other influential factors. Finally, the efficient personnel were ranked by Anderson Peterson method
