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2012 | 7 | 71--85
Tytuł artykułu

Design of Optimal Linear Systems by Multiple Objectives

Autorzy
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Traditional concepts of optimality focus on valuation of already given systems. A new concept of designing optimal systems is proposed. Multi-objective linear programming (MOLP) is a model of optimizing a given system by multiple objectives. In MOLP problems it is usually impossible to optimize all objectives simultaneously in a given system. An optimal system should be tradeoff-free. As a methodology of optimal system design, De Novo programming for reshaping feasible sets in linear systems can be used. Basic concepts of the De Novo optimization are summarized. Possible extensions, methodological and actual applications are presented. The supply chain design problem is formulated and solved by De Novo approach.(original abstract)
Rocznik
Tom
7
Strony
71--85
Opis fizyczny
Twórcy
autor
  • University of Economics in Prague, Czech Republic
Bibliografia
  • Babic Z., Pavic I. (1996), Multicriterial Production Planning by De Novo Programming Approach, "International Journal of Production Economics", No. 43.
  • Fiala P. (2005), Information Sharing in Supply Chains, "Omega", No. 33.
  • Li R.J., Lee E.S. (1990), Fuzzy Approaches to Multicriteria De Novo Programs, "Journal of Mathematical Analysis and Applications", No. 153.
  • Shi Y. (1995), Studies on Optimum-Path Ratios in De Novo Programming Problems, "Computers and Mathematics with Applications", No. 29.
  • Steuer R.E. (1986), Multiple Criteria Optimization: Theory, Computation and Application, Wiley, New York.
  • Zelený M. (1990), De Novo Programming, "Ekonomicko-matematický oborz", No. 26.
  • Zeleny M. (2010), Multiobjective Optimization, Systems Design and De Novo Programming, [in:] Handbook of Multicriteria Analysis, eds. C. Zopounidis, P.M. Pardalos, Springer, Berlin.
  • Zeleny M. (1990), Optimal Given System vs. Designing Optimal System: The De Novo Programming Approach, "International Journal of General System", No. 17.
  • Zhang Y.M., Huang G.H., Zhang X.D. (2009), Inexact de Novo Programming for Water Resources Systems Planning, "European Journal of Operational Research", No. 199.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171230813

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