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Building Optimum Production Settings using De Novo Programming with Global Criterion Method

by Nurullah Umarusman, Ahmet Turkmen
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 82 - Number 18
Year of Publication: 2013
Authors: Nurullah Umarusman, Ahmet Turkmen
10.5120/14262-2359

Nurullah Umarusman, Ahmet Turkmen . Building Optimum Production Settings using De Novo Programming with Global Criterion Method. International Journal of Computer Applications. 82, 18 ( November 2013), 12-15. DOI=10.5120/14262-2359

@article{ 10.5120/14262-2359,
author = { Nurullah Umarusman, Ahmet Turkmen },
title = { Building Optimum Production Settings using De Novo Programming with Global Criterion Method },
journal = { International Journal of Computer Applications },
issue_date = { November 2013 },
volume = { 82 },
number = { 18 },
month = { November },
year = { 2013 },
issn = { 0975-8887 },
pages = { 12-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume82/number18/14262-2359/ },
doi = { 10.5120/14262-2359 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:58:04.286521+05:30
%A Nurullah Umarusman
%A Ahmet Turkmen
%T Building Optimum Production Settings using De Novo Programming with Global Criterion Method
%J International Journal of Computer Applications
%@ 0975-8887
%V 82
%N 18
%P 12-15
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This study consists of four main parts. In first part, a brief history of De Novo technique is introduced. In part two, mathematical definitions of Multicriteria De Novo Programming and Global Criterion Method are given with their respective principles. Part three shows a real firm application where the problem and solution parts are shown. Final part of the study concludes the study with explanations and future aims of the study group.

References
  1. Babi?, Z. , and Pavi?, I. , 1996, Multicriterial Production Programming by De Novo Programming Approach, International Journal of Production Economics, 43(1), 59-66.
  2. Boychuk, L. and Ovchinnikov, V. ,1973, Principal methods of solution of multicriterial optimization problems. Soviet Automatic Control, 6,1-4.
  3. Chakraborty, S. and Bhattacharya, D. , 2013, Optimal System Design Under Multi-Objective Decision Making Using De-Novo Concept: A New Approach, International Journal Of Computer Applications , Volume 63– No. 12, 0975 – 8887.
  4. Chen, J. K. C. and Tzeng, G-H. ,2009, Perspective strategic alliances and resource allocation in supply chain systemsthrough the De Novo programming approach. Int. J. Sustainable Strategic Management, 1(3),320-339.
  5. Chen, Y-W. and Hsieh, H. -E. ,2006,. Fuzzy multi-stage De-Novo programming problem. Applied Mathematics and Computation 181(2), 1139-1147.
  6. Huang, J. -J. , Tzeng, G-H. and Ong, C. -S. ,2006, Choosing best alliance partners and allocating optimal alliance resources using the fuzzy multi-objective dummy programming model. Journal of the Operational Research Society 57, 1216–1223.
  7. Li, R. J and Lee, E. S. ,1990, Approaches To Multicriteria De Novo Programs, Journal of Mathematical Analysis and Applications 153, 97-111.
  8. Salukvadze, M. , 1974, On the existence of solution in problems of optimization under vector valued criteria. Journal of Optimization Theory and Applications, 12(2),203-217.
  9. Shi, Y. ,1995, Studuies on optimum-Path Ratios in Multicriteria De Novo Programming Problems, Computers Math. Applic. Vol 29, No. 5, 43-50.
  10. Shi, Y. ,1999, Oprimal System Design With Multiple Decision Makers And Possible Debt: A Multicriteria De Novo Programming Approach, Operations Research Vol. 47, No. 5, September-October,723-729.
  11. Tabucanon,M. T. , 1988, Multiple Criteria Decision Making, Elsevier, Amsterdam.
  12. Umarusman, N. , 2013, Min-Max Goal Programming Approach For Solving Multi-Objective De Novo Programming Problems, International Journal of Operations ResearchVol. 10, No. 2, 92-99.
  13. Zeleny, M. ,1976,Multi-objective design of high-productivity systems, In: Proc. Joint Automatic Control Conf. , paper APPL9-4, New York.
  14. Zeleny M. ,1982, Multiple Criteria Decision Making. McGraw-Hill, New York.
  15. Zeleny, 1986, Optimal system design with multiple criteria: De Novo programming approach, Engineering Costs and Production Economics, 10,89–94.
  16. Zeleny M. , 1990, Optimizing Given Systems Vs. Designing Optimal Systems: The De Novo Programming Approach, ?nt. J. General System Vol 17,295-307.
  17. Zhang, Y. M. , Huang, G. H. and Zhang, X. D. (2009). Inexact de Novo programming for water resources systemsplanning. European Journal of Operational Research, 199,531–541.
Index Terms

Computer Science
Information Sciences

Keywords

De Novo programming Global Criterion Method Optimal System Design.

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