What is it about?
Investigation of most productive scale size of systems which may have internal subsystems.
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Why is it important?
This work is the first one that defined the concept of most productive scale size in network DEA framework. It helps the decision makers to identify the unsatisfactory subsystem which degrades the performance of the whole system. It decomposes the MPSS of the whole system as the sum of the MPSS values of the subsystems. It developes an approach to project the non-MPSS units on the MPSS region.
Perspectives
I am happy to collaborate with Professor Feng Yang who is one of the DEA famous researchers. Also I thank professor Jiang jianlin for his highly respected role in this work. We believe that this work can be a good start for other theories and attract many of real-life applications.
Saeed Assani
University of Science and Technology of China
Read the Original
This page is a summary of: Most productive scale size decomposition for multi-stage systems in data envelopment analysis, Computers & Industrial Engineering, June 2018, Elsevier,
DOI: 10.1016/j.cie.2018.04.043.
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