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Optimizing the Managerial Decision in Energetic Industry

Author

Listed:
  • Dura, Codruta
  • Isac, Claudia

Abstract

Making a decision is a complex process which must be based upon a method that is able to establish the optimum criteria in choosing an alternative, in evaluating the main effects of implementing the decision which was taken and in estimating the risks involved. The optimizing methods and techniques fall into several groups. Thus, judging by the number of criteria that was taken into consideration when making decisions, the optimization methods and techniques can be identified as uni-criterial decisions and multi-criterial decisions; considering the objective condition state which affects the problem that needs decisional solution, there can be decisional methods and techniques used in optimizing decisions in conditions of certainty, decisional methods and techniques used in optimizing decisions in conditions of uncertainty and decisional methods and techniques used in optimizing decisions in risky conditions. The continuous improvement of the decisional subsystem - an important component of the firm’s management - represents a necessity under the circumstances that the latest decades reveal a development of the decisional elements, both in the theoretic-methodological field and in the application field. The decisional methods and techniques must be found in the managers’ decisional processes at different hierarchical levels (individual managers or group managers), so that a high scientific materialization level of the methods should be ensured.

Suggested Citation

  • Dura, Codruta & Isac, Claudia, 2007. "Optimizing the Managerial Decision in Energetic Industry," MPRA Paper 3408, University Library of Munich, Germany, revised 05 Jun 2007.
  • Handle: RePEc:pra:mprapa:3408
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    More about this item

    Keywords

    decision; variant; optimizing methods and techniques; decisional tree; certainty; uncertainty; risk;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • M10 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - General
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics

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