Combined Model of Robust Data Envelopment Analysis with Complementary Slackness Condition for Efficiency Assessment
محورهای موضوعی : Journal of Business AnalysisAmir Amini 1 , Alireza Alinezhad 2 , YOUSEF MOHAMMADZADEH 3
1 - دانشجوی دکتری توسعه اقتصادی، دانشکده اقتصاد و مدیریت، دانشگاه ارومیه، ارومیه، ایران
2 - Department of Industrial Engineerin, Qa. c., Isalamic Azad university, Qazvin, Iran
3 - دانشیار اقتصاد دانشگاه ارومیه
کلید واژه: تحلیل پوششی داده¬های استوار , شرایط لنگی مکمل قوی , رویکرد بهینه¬سازی استوار, عدم قطعیت, کارایی ,
چکیده مقاله :
تحقق بخشیدن به اصل بهبود عملکرد از پیششرطهای اساسی سازمانها برای بقا در شرایط رقابتی و متلاطم امروزی است. بدین منظور استقرار و پیادهسازی مناسب نظام جامع و کارای ارزیابی عملکرد به منظور تجزیه و تحلیل ابعاد مختلف سازمان به بهبود مستمر آن کمک شایانی خواهد کرد. لذا دستیابی به یک نظام ارزیابی فراگیر به عنوان مبنایی جهت اتخاد تصمیمات صحیح در راستای پیشبرد اهداف و اجرای استراتژیهای سازمانی همواره از دغدغههای اصلی مدیران بوده است. در این تحقیق یک مدل ترکیبی از تحلیل پوششی دادههای استوار با شرایط لنگی مکمل برای ارزیابی کارایی ارائه میشود. ترکیب تحلیل پوششی دادهها با دیگر مدلها میتواند روشی قدرتمند ایجاد نماید که از آن میتوان برای ارزیابی کارایی واحدهای تصمیمگیرنده استفاده نمود. همچنین بکارگیری مدلهای ترکیبی در شرایط عدم قطعیت میتواند باعث کاربردیتر شدن این مدلها گردد. استفاده از رویکرد تحلیل پوششی دادههای استوار میتواند در بکارگیری مدلها در شرایط عدم قطعیت مفید باشد. مدل ارائه شده در این تحقیق با استفاده از رویکرد بهینهسازی استوار و برنامهریزی خطی به گسترش مدل ترکیبی تحلیل پوششی دادهها و شرایط لنگی مکمل قوی در شرایط عدم قطعیت، میپردازد. این موضوع میتواند کمک شایانی به گسترش استفاده از این روش نسبت به مدلهای پیشین نماید.
Realizing the principle of performance improvement is one of the fundamental preconditions for organizations to survive in today's competitive and turbulent environment. For this purpose, proper establishment and implementation of a comprehensive and efficient performance assessment system to analyze the various dimensions of the organization will greatly contribute to its continuous improvement. Therefore, achieving a comprehensive evaluation system as a basis for making right decisions to pursuit and implement organizational goals and strategies has always been a major concern of managers. Data envelopment analysis is a nonparametric method that can evaluate decision making units with multiple inputs and outputs. In this paper, a combined model of robust data envelopment analysis with complementary slackness condition is considered for efficiency assessment. The combination of data envelopment analysis with other models can create strong models for efficiency assessment of decision making units. Besides, using combined models in uncertainty environment can make these models more practical. Therefore, use of robust data envelopment analysis in uncertainty environment can be very effective in efficiency evaluation applications. This study presents an integrated robust optimization and linear programming model to expand combined data envelopment analysis and complementary slackness condition in uncertainty environment. This can help to extend the use of this method over previous models.
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