Indian Journal of Science and Technology

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Dynamic network model proposed by Färe (Färe & et al., 2009). will consider behavior of DMUs across time and will evalute the performance of the production systems across time, but dynamic network for parallel production systems focuses on the evaluation of subunits at each period. The conventional DEA assumes that data on the outputs and inputs are exactly known. However in many real applications, we confront cases in which the input/output data belong to intervals, the DEA models become nonlinear programming problem and are called imprecise DEA (IDEA). In this paper, we propose an approach to assess dynamic network for parallel production systems with bounded interval data.

Keywords

DEA, Dynamic Network, Parallel Production System, Interval Data
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