Implementing Fuzzy DEA into the PEM Model for Performance Evaluation of Project-based Organizations: A case study
محورهای موضوعی : Data Envelopment Analysis
اویس ترابی
1
(
استادیار گروه مدیریت ارزیابی، دانشکده مدیریت، دانشگاه جامع امام حسین(ع)
)
محمّدمیلاد احمدی
2
(
دانشجوی دکترای مدیریت سیستم‌ها، دانشگاه جامع امام حسین(ع)
)
روح‌الله تولایی
3
(
دانشیار گروه سیاست گذاری علم و فناوری، دانشکده مدیریت، دانشگاه جامع امام حسین(ع)
)
کلید واژه: efficiency analysis, Petrochemical Industry, Fuzzy Data Envelopment Analysis (FDEA), Project Excellence Model (PEM), Petro-Chem Supply Chain, Project Management,
چکیده مقاله :
Project-based organizations in upstream industries hold a large share of national resources and play an important role in the development of a country. Performance evaluation of project-based organizations can help managers to use inputs effectively and smooth their way to achieving goals. There are many qualitative and quantitative indices to performance evaluation of project-based organizations. Efficiency calculation through Data Envelopment Analysis (DEA) is a common index for performance assessment in such firms. In the traditional DEA model crisp data is needed while, in the real world, most of the data are imprecise and uncertain. A major cause of uncertainty related to the non-quantifiable, incomplete, and unachievable information that caused fuzzy logic and fuzzy sets merge in different models like DEA. The main idea of the present study is to combine quantitative and qualitative approaches in performance appraisal to take advantage of both and achieve more accurate results; therefore, in this paper, a hybrid model based on Fuzzy Data Envelopment Analysis (FDEA) and Project Excellence Model (PEM) is proposed for performance evaluation in project-based organizations. First, performance assessment by the PEM model of Fuzzy data is accomplished. Then, implementing Fuzzy DEA into the PEM model is performed in which the inputs and outputs of the FDEA model are the PEM model criteria. The proposed hybrid model is used to evaluate 30 petrochemical companies in Iran. The comparison of the results of both models indicates a correlation coefficient of almost 0.90 at the significance level of 0.01 that shows an appropriate correlation between the two models.
سازمان های پروژه محور در صنایع بالادستی سهم زیادی از منابع ملی را در اختیار دارند و نقش مهمی در توسعه یک کشور ایفا می کنند. ارزیابی عملکرد سازمان های پروژه محور می تواند به مدیران کمک کند تا از ورودی ها به طور موثر استفاده کنند و راه خود را برای دستیابی به اهداف هموار کنند. برای ارزیابی عملکرد سازمان های پروژه محور، شاخص های کمی و کیفی زیادی وجود دارد. محاسبه کارایی از طریق تحلیل پوششی داده ها (DEA) یک شاخص رایج برای ارزیابی عملکرد در چنین شرکت هایی است. در مدل سنتی DEA داده‌های واضح مورد نیاز است در حالی که در دنیای واقعی، بیشتر داده‌ها نادقیق و نامطمئن هستند. یکی از دلایل اصلی عدم قطعیت مربوط به اطلاعات غیر کمی، ناقص و دست نیافتنی است که باعث ادغام منطق فازی و مجموعه های فازی در مدل های مختلف مانند DEA می شود.ایدۀ اصلی پژوهش حاضر ترکیب رویکردهای کمی و کیفی در ارزیابی عملکرد برای بهره‌گیری از هر دو و دستیابی به نتایج دقیق‌تر است. از این رو، در این مقاله، یک مدل ترکیبی مبتنی بر تحلیل پوششی داده های فازی (FDEA) و مدل تعالی پروژه (PEM) برای ارزیابی عملکرد در سازمان های پروژه محور پیشنهاد شده است. ابتدا ارزیابی عملکرد توسط مدل PEM داده های فازی انجام می شود. سپس پیاده سازی فازی DEA در مدل PEM انجام می شود که در آن ورودی ها و خروجی های مدل FDEA معیارهای مدل PEM هستند. مدل هیبریدی پیشنهادی برای ارزیابی 30 شرکت پتروشیمی در ایران استفاده شده است. مقایسه نتایج هر دو مدل نشان‌دهنده ضریب همبستگی تقریباً 90/0 در سطح معنی‌داری 01/0 است که نشان‌دهنده همبستگی مناسب بین دو مدل است.
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