نشریه بین المللی مهندسی صنایع و تحقیقات تولید
دانشگاه علم و صنعت ایران
چهارشنبه 24 مرداد 1403
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جلد 32، شماره 1 - ( 10-1399 )
جلد 32 شماره 1 صفحات 64-47 |
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Nedaei H, Jalali Naini S G, Makui A. A DEA approach to measure teammate-adjusted efficiencies incorporating learning expectations: An application to oil & gas wells drilling. IJIEPR 2021; 32 (1) :47-64
URL: http://ijiepr.iust.ac.ir/article-1-1039-fa.html
URL: http://ijiepr.iust.ac.ir/article-1-1039-fa.html
A DEA approach to measure teammate-adjusted efficiencies incorporating learning expectations: An application to oil & gas wells drilling. نشریه بین المللی مهندسی صنایع و تحقیقات تولید. 1399; 32 (1) :47-64
چکیده: (2621 مشاهده)
Data envelopment analysis (DEA) measures the relative efficiency of decision-making units (DMU) with multiple inputs and multiple outputs. In the case of considering a working team as a DMU, it often comprises multiple positions with several employees. However, there is no method to measure the efficiency of employees individually taking account the effect of teammates. This paper presents a model to measure the efficiency of employees in a way that they are fairly evaluated regarding their teammates’ relative performances. Moreover, the learning expectations and the effect of learning lost due to operation breaks are incorporated into the DEA model. This model is thus able to rank the employees working in each position that can then be utilized within award systems. The capabilities of the proposed model are then explored by a case study of 20 wells with 160 distinct operations in the South Pars gas field, which is the first application of DEA in the oil and gas wells drilling performance analysis.
نوع مطالعه: پژوهشي |
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دریافت: 1399/1/9 | پذیرش: 1399/6/31 | انتشار: 1399/9/21
دریافت: 1399/1/9 | پذیرش: 1399/6/31 | انتشار: 1399/9/21
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