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Information Journal Paper

Title

ESTIMATING MOST PRODUCTIVE SCALE SIZE IN DEA WITH REAL AND INTEGER VALUE DATA

Pages

  107-114

Abstract

 For better guiding a system, senior managers should have accurate information. Using DATA ENVELOPMENT ANALYSIS (DEA) help managers in this objective. Thus, many investigations have been made in order to find the MOST PRODUCTIVE SCALE SIZE (MPSS) for the evaluating decision making units (DMUs). In this paper we consider this case where there exist subsets of input and output variables to be integer valued. We use DATA ENVELOPMENT ANALYSIS (DEA) technique, which is a mathematical programming for efficiency evaluation and target setting for a set of DMUs, and develop a model with which the desired MPSS point can be found. The applicability of developed model is illustrated in the context of the analysis to show the validity of the proposed model.

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    APA: Copy

    MOGHADDAS, Z., & VAEZ GHASEMI, M.. (2014). ESTIMATING MOST PRODUCTIVE SCALE SIZE IN DEA WITH REAL AND INTEGER VALUE DATA. INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS, 6(2), 107-114. SID. https://sid.ir/paper/625001/en

    Vancouver: Copy

    MOGHADDAS Z., VAEZ GHASEMI M.. ESTIMATING MOST PRODUCTIVE SCALE SIZE IN DEA WITH REAL AND INTEGER VALUE DATA. INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS[Internet]. 2014;6(2):107-114. Available from: https://sid.ir/paper/625001/en

    IEEE: Copy

    Z. MOGHADDAS, and M. VAEZ GHASEMI, “ESTIMATING MOST PRODUCTIVE SCALE SIZE IN DEA WITH REAL AND INTEGER VALUE DATA,” INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS, vol. 6, no. 2, pp. 107–114, 2014, [Online]. Available: https://sid.ir/paper/625001/en

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