Measuring technical progress with data envelopment analysis

Article Abstract:

A nonparametric method is developed to measure productivity growth of a group of operations over multiple time periods using data envelopment analysis (DEA). DEA is used to measure technical progress through efficiency evaluation. A new tool for long-term planning is introduced with this extension of the DEA method to efficiency evaluation of multi-periods. Decision-making units (DMUs) in different time periods are treated as DMUs using different technologies in the same period.

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Optimal control of a divergent multi-echelon inventory system

Article Abstract:

Optimal control of a multi-echelon inventory system may be done through the use of the balance assumption that would enable the decomposition of the production processes. Decomposition allows managers to determine the optimal replenishment policy by reducing the complex multi-dimensional control problems to simple one-dimensional problems. The approach allows the optimal order-up-to-level at every stockpoint and the optimal allocation functions.

Production control

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Measuring production with random inputs and outputs using DEA and certainty equivalent

Article Abstract:

Data envelopment analysis and the certainty equivalent are found to be effective tools in evaluating production operations with inputs and outputs under uncertainties. The two techniques are found to be effective in modeling various risk attitudes and is highly applicable to other areas. The approach is computationally applicable and provides an mechanism to accomodate various evaluator attitudes towards risk.

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