Data Envelopment Analysis and Malmquist Index for Measuring Productivity of Inefficient DMUs
Subject Areas : International Journal of Industrial Mathematics
ملیحه
شاهکویی
1
(گروه ریاضی، واحد ساری، دانشگاه آزاد اسلامی، ساری، ایران.)
فرزاد
رضایی بالف
2
(گروه ریاضی، واحد قائم شهر، دانشگاه آزاد اسلامی، قائم شهر، ایران.)
محسن
ربانی
3
(گروه ریاضی، واحد ساری، دانشگاه آزاد اسلامی، ساری، ایران.)
مهدی
فلاح جلودار
4
(گروه ریاضی، واحد آیت اله آملی، دانشگاه آزاد اسلامی، آمل، ایران.)
Keywords: Decision-making, Malmquist Productivity Index, Data Envelopment Analysis, Efficiency, Productivity,
Abstract :
Data envelopment analysis (DEA), is a non-parametric mathematical programming technique to evaluate the efficiency of a set of homogeneous decision-making units (DMUs), so that DMUs are evaluated into two groups, efficient and inefficient. According to the staggering costs in order to managing DMUs or organizations, maintaining some loss-making organizations are not cost-effective. Therefore, one of the concerns of managers in the discussion related to the financial problems of organizations is the maintenance or merger or elimination of inefficient organizations (inefficient DMUs). However, this article focuses on the performance of inefficient units. Therefore, we measure the productivity of inefficient DMUs using the revised Malmquist productivity index (MPI) to make a decision based on the maintenance or merger or elimination of these DMUs by decision makers (DMs).
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