By Ronald Klimberg
Quantity 12 of the "Applications of administration technology" sequence is directed towards the purposes of administration technology to: Multi-Criteria choice Making, Operations and provide Chain administration, productiveness administration (DEA), and monetary administration. This quantity will turn out helpful to researchers, practitioners and scholars of administration technological know-how and operations examine. It presents an summary of a few of the main crucial features of the self-discipline and is a superb aspect of reference for people attracted to administration or administration technology. It specializes in 4 key functions of administration technological know-how, and is focused in the direction of a large viewers of researchers, practitioners, and scholars.
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Additional info for Applications of Management Science
Lawrence, G. R. Reeves & J. B. Guerard, Jr. ), Advances in Mathematical Programming and Financial Planning, (Vol. 6, pp. 3–18). The Netherlands: Elsevier Science/JAI Press, Amsterdam. Land, K. , Lovell, C. A. , & Thore, S. (1993). Chance-constrained data envelopment analysis. Managerial and Decision Economics, 14(6), 541–554. Li, S. X. (1998). Stochastic models and variable returns to scales in data envelopment analysis. European Journal of Operational Research, 104(3), 532–548. Lindo Systems Inc.
It is also proposed that the speciﬁc nine input and four output variables identiﬁed be utilized simultaneously in this analysis. The ratio of the outputs to the inputs for a particular ﬁrm provides a measure of the efﬁciency of the organization. Comparisons of various ﬁrms’ efﬁciency ratios during a single common time period provide a means of evaluating their relative efﬁciencies. Comparing such ratios in this single time period allows the researcher an opportunity to determine the most efﬁcient frontier and to determine the best performing organizations and the poorest ones.
With these, a measure of performance and actual versus standard comparisons can be developed. In a more sophisticated manner, standards for labor and non-labor activities can be developed for each transportation activity. Thus, transportation requirements can be converted to vehicle load or dollars of cost. Thereupon, performance measurement of labor and non-labor inputs by activities against variables are made. Finally, a system of productivity measurement can be developed. In this analysis, the performance data is merged with ﬁnancial data to provide an overall view of the operation.