Outline
- Abstract
- Keywords
- 1 Introduction
- 2 Details of the Techniques: Ahp, Dea and Deahp
- 3 Empirical Illustration
- 4 Analysis and Results Using Deahp Approach
- 5 Conclusion
- Notes
- References
رئوس مطالب
- چکیده
- کلید واژه ها
- 1 مقدمه
- 2 جزئیات شیوه های: AHP، DEA و DEAHP
- 2.1 AHP
- 2.2 DEA
- 2.3 فرآیند تحلیل سلسله مراتبی پوش داده ها (ترکیبی از DEA و AHP در بدست آوردن وزن ها)
- 2.4 چرا شیوه DEAHP در این مقاله استفاده می شود؟
- 3 نمایش تجربی
- 4 تحلیل و نتایج حاصل شده با بهره گیری از روش DEAHP
- 4.1 وزن های جایگزین ها (تحلیل سطح 3)
- 4.2 وزن های داخلی کارکنان نسبت به معیارهای اصلی (تحلیل سطح 2)
- 4.3 محاسبه وزن های نهایی کارکنان نسبت به تابع هدف (تحلیل سطح 1) و رتبه عملکردی کارکنان
- 5 نتیجه گیری
Abstract
The manpower in an organization constitutes an important and essential asset. Competent personnel endowed with individual academic and managerial strengths in specific disciplines and personal capabilities, who can undertake a variety of marketing or research assignments, are needed in any organization as they substantially credit to its performance. Development of rational techniques for capability assessment during recruitment of personnel is therefore vital. The techniques that are normally employed for decision making in identification of performance attributes including their weight assignments include techniques like Delphi and decision matrix, Analytic Hierarchy Process (AHP) etc. AHP converts qualitative opinion of experts into quantified values and generates a decision matrix. In this paper, we have integrated Data Envelopment Analysis (DEA) to generate local weights of alternatives from pair-wise comparison of judgment matrix used in the AHP for a three attribute system for measuring performance of personnel at entry level of managerial hierarchy. Multiple expert judgments have been considered for weight determination of the attributes. Thus, DEAHP (i.e., combined DEA-AHP approach) has been proposed in this paper as an alternative to the traditional methods of weight derivation in AHP.
Keywords: AHP - DEA - Linear programming - MCDM - Performance evaluationConclusions
In this paper, we have used an alternative approach DEAHP to the traditional AHP method for the computation of local weights or priorities and the final weights. For perfectly consistent judgment matrices, this approach gives the similar weights as given by AHP approach where as for inconsistent matrices it tries to remove inconsistency. Further when we compute the final weights, we find that the final weights are weighted sum of local weights. The relative weightage of each factor, viz, talent and aptitude, personal qualities and strengths, and management skills, is suitably aggregated along with the relative weightage of each subfactor and the ratings of each subfactor and the ratings of each alternative (employees) with respect to each subfactor, to give an overall performance index of each employee.