Benchmark Forecasting in Data Envelopment Analysis for Decision Making Units
محورهای موضوعی : مجله بین المللی ریاضیات صنعتیM. Shafiee 1 , F. Hosseinzade Lotfi 2 , H. Saleh 3
1 - Department of Industrial Management, Shiraz Branch,
Islamic Azad University, Shiraz, Iran
2 - Department of Mathematics, Science and Research Branch,
Islamic Azad University, Tehran, Iran
3 - Department of Mathematics, Central Tehran Branch, Islamic Azad University, Tehran, Iran
کلید واژه: Data envelopment analysis (DEA), Efficiency forecasting, Benchmark., Performance evaluation, Bank efficiency, System Dynamics, Simulation,
چکیده مقاله :
Although DEA is a powerful method in evaluating DMUs, it does have some limitations. One of the limitations of this method is the result of the evaluation is based on previously data and the results are not proper for forecasting the future changes. So For this purpose, we design feedback loops for forecasting inputs and outputs through system dynamics and simulation. Then we use DEA model to forecast the efficiency.
اگرچه تحلیل پوششی دادهها یک ابراز قدرتمند برای ارزیابی عملکرد واحدهای تحت ارزیابی میباشد ولی این تکنیک دارای محدودیتهایی نیز میباشد. به عنوان نمونه یکی از محدودیتهای این روش، ارزیابی عملکرد سیستم براساس ورودی و خروجیهای قدیم است بنابراین نتایج ارزیابی بهدست آمده از مدلهای کلاسیک DEA، برای پیش بینی تغییرات کارایی واحدها در آینده و در نتیجه ارایه الگوی مناسب برای رسیدن به یک واحد کارا، کاربردی نمیباشد . بنابراین هدف این مقاله پیشنهاد یک روش جدید به منظور پیش بینی کارایی سیستم براساس ورودی و خروجی شبیه سازی شده با استفاده از سیستم پویا و تکنیکهای شبیه سازی است. زیرا با پیش بینی کارایی واحد تحت ارزیابی، مدیران در یک سیستم میتوانند برنامه ریزی دقیقتری برای آینده داشته باشند. برای این منظور با استفاده از یک حلقه بازخورد، ورودیها و خروجیها در واحدهای تصمیم گیرنده در آینده مورد پیش بینی قرار گرفت سپس با استفاده از مدل CCR و ورودیها و خروجیهای پیشبینی، شده به پیش بینی کارایی واحد تحت ارزیابی پرداختیم.
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