ارائه يك مدل رياضي مبتني بر تحليل پوششي داده ها براي تعيين استراتژي هاي رقابت با در نظر گرفتن اندازه سازمان ها )كاربرد موردي صنعت بيمه(

A DEA-based Mathematical Model to Determine the Competitiveness Strategies, Considering the size of DMUs: Case Study in Insurance Industry

مدل هاي كلاسيك DEA قادر به در نظر گرفتن موارد ذكر شده نيستند. لذا معمولا نتايج حاصل از مدل هاي مذكور غير واقعي و عموماً قابليت كاربرد ندارد. در اين تحقيق يك مدل رياضي مبتني بر DEA جهت تعيين استراتژي هاي رقابتي با در نظر گرفتن اندازه سازمان هاي بيمه ارايه شده است. نتايج حاكي از اين بود كه بكارگيري مدل پايه اي CCR جهت حل مسأله مورد بررسي داراي نتايجي غير عملي و متناقض با شرايط و محدوديت هاي دنياي واقعي است. اين در حالي است كه مدل پيشنهادي تحقيق بسيار كاراتر عمل كرده و نتايج حاصل از آن حاكي از اين بود كه مدل پيشنهادي، نقاط ضعف مدل هاي پايه اي DEA را در حوزه اين مسايل به خوبي برطرف كرده است .

of the magnitude of the input in such a way that in reality the general reducible value of an individual resource is a certain proportion of this resource (not an integer), the classic DEA models are not able to meet the above conditions. Therefore, the results of the classic DEA models are not realistic and generally applicable to the real world problems. . Therefore, the results of the classic DEA models are not realistic and generally applicable to the real world problems. To fill the gap, in the present study, a DEA-based mathematical model was proposed to specify the competition strategies considering the size of insurance organizations. To examine the efficiency and the reliability of the proposed model, a real problem was solved in the domain of insurance industry and the results were compared with those of the basic CCR model. The findings revealed that the use of the basic CCR model to solve the problem produces unrealistic results that contradict the conditions and constraints of the real world. This was the case despite the fact that the proposed model proved more efficient and the results suggested that the proposed model improved the weaknesses of the basic DEA models in the domain of insurance institutes.