Optimization as an alternative in search of sustainable technological processes

• Autorzy: Kania A. , Spilka M.
• Języki publikacji: EN

Abstrakty

EN

Purpose: The paper presents a possibility of optimization (polyoptimization) to analyse, estimation and selection of materials technological processes used. Design/methodology/approach: The article makes possible genetic algorithms to ecological, technical and economic estimation of the technological processes used. It also presents search of optimum technological process methodology. Considering complicated and many-layered structure of the sustainable development, optimization is the way in aim at better (sustainable) technological process. Findings: The optimization methods should have more and more meaning in the materials engineering. It is because of many possible technical problems to solutions. Research limitations/implications: The genetic algorithms method has a self – evident use accomplishing the choice of the best materials technological process in respect of improvement its mechanical, physical properties and reduces negative environmental influences. Practical implications: Polyoptimization and especially genetic algorithms in connection with proper computer software can apply in the industry for group technological processes estimation. This approach makes possible search of the best available processes and selection of different modernization solutions. Originality/value: In this article scantiness of the sustainable development theory presented. Because of that optimization as an alternative in search of better (sustainable) technological processes proposed. Also in the paper compared the most important multiobjective optimization methods. Using this methods give a chance of the best (with regard to adequate criteria) technological process selection to used

Słowa kluczowe

EN

industrial application of cleaner production methods; sustainable development; multiobjective optimization; genetic algorithm

PL

produkcja czysta; zastosowanie przemysłowe; rozwój zrównoważony; optymalizacja wielokryterialna; algorytm genetyczny

• Wydawca: International OCSCO World Press
• Czasopismo: Journal of Achievements in Materials and Manufacturing Engineering
• Rocznik: 2006
• Tom: Vol. 17, nr 1-2
• Strony: 413--416
• Opis fizyczny: Bibliogr. 17 poz., rys.

Twórcy

autor

Kania A.

• Division of Nanocrystalline and Functional Materials and Sustainable Pro-ecological Technologies, Institute of Engineering Materials and Biomaterials, Silesian University of Technology, ul. Konarskiego 18a, 44-100 Gliwice, Poland

autor

Spilka M.

• Division of Nanocrystalline and Functional Materials and Sustainable Pro-ecological Technologies, Institute of Engineering Materials and Biomaterials, Silesian University of Technology, ul. Konarskiego 18a, 44-100 Gliwice, Poland

Bibliografia

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