Types of Decisions Based on Multi-Criteria Analysis Applicable to Extractive Industry. Theoretical Approaches
AbstractIn order to ensure the competitiveness, the innovation and the jobs in the industrial sector it is crucial to solve the problems concerning the secure, reliable and constant access to raw materials. In a world characterized by an able legislation, the resources’ efficiency on the global economy might motivate the industrial competitiveness and reach the environment objectives of every country. Access and sustainable management of raw materials, requires the adoption/optimization of some decisions based on multicriteria analysis of situations considered. Due to the diversity and complexity of decision problems that are going to solve by the managers in the extraction, preparation, storage and transportation unit of extractive industry, the paper presents a systematization of them according to certain criteria or elements.
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Bibliographic InfoArticle provided by University of Petrosani, Romania in its journal Annals of the University of Petrosani - Economics.
Volume (Year): 11 (2011)
Issue (Month): 1 ()
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Web page: http://www.upet.ro/
extractive industry; decisions; multi-criteria analysis;
Find related papers by JEL classification:
- L16 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Industrial Organization and Macroeconomics; Macroeconomic Industrial Structure
- L71 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - Mining, Extraction, and Refining: Hydrocarbon Fuels
- M11 - Business Administration and Business Economics; Marketing; Accounting - - Business Administration - - - Production Management
- M12 - Business Administration and Business Economics; Marketing; Accounting - - Business Administration - - - Personnel Management; Executives; Executive Compensation
- M51 - Business Administration and Business Economics; Marketing; Accounting - - Personnel Economics - - - Firm Employment Decisions; Promotions
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- Cristinel Constantin, 2012. "Post-Hoc Segmentation Using Marketing Research," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 12(3), pages 39-48.
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