USING NONLINEAR GOAL PROGRAMMING FOR OPTIMIZATION OF PROBLEMS WITH MULTI LEVEL SOLUTIONS

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RASHIDI KOMEIJANI ALIREZA

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Journal Paper

Paper Information

Journal: JOURNAL OF INDUSTRIAL STRATEGIC MANAGEMENT (PAJOUHESHGAR) Year:2009 | Volume:6 | Issue:14 Page(s): 92-96

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Information Journal Paper

Title

USING NONLINEAR GOAL PROGRAMMING FOR OPTIMIZATION OF PROBLEMS WITH MULTI LEVEL SOLUTIONS

Author(s)

RASHIDI KOMEIJANI ALIREZA | Issue Writer Certificate

Keywords

DESIGN OF EXPERIMENTQ3

GOAL PROGRAMMINGQ2

PROBLEMS WITH MULTI LEVEL SOLUTIONQ3

Abstract

Each process has one or some inputs and outputs. DESIGN OF EXPERIMENTs (DOE) is defined as exertion of conscious change in input variable of a process and measuring and evaluating of resulted changes in output variable (solution) . The most important issue exposed in DESIGN OF EXPERIMENTs is the determination of input variables for optimizing response variable. This article uses nonlinear GOAL PROGRAMMING for optimization of problems with more than one solution.

Cites

RECOMMENDING AN APPROPRIATE MATHEMATICAL MODEL FOR RESOURCE ALLOCATION IN RESEARCH DIVISION

References

STRATEGIES FOR ROBUST MULTIRESPONSE QUALITY ENGINEERING

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APA: Copy

RASHIDI KOMEIJANI, ALIREZA. (2009). USING NONLINEAR GOAL PROGRAMMING FOR OPTIMIZATION OF PROBLEMS WITH MULTI LEVEL SOLUTIONS. JOURNAL OF INDUSTRIAL STRATEGIC MANAGEMENT (PAJOUHESHGAR), 6(14), 92-96. SID. https://sid.ir/paper/151481/en

Vancouver: Copy

RASHIDI KOMEIJANI ALIREZA. USING NONLINEAR GOAL PROGRAMMING FOR OPTIMIZATION OF PROBLEMS WITH MULTI LEVEL SOLUTIONS. JOURNAL OF INDUSTRIAL STRATEGIC MANAGEMENT (PAJOUHESHGAR)[Internet]. 2009;6(14):92-96. Available from: https://sid.ir/paper/151481/en

IEEE: Copy

ALIREZA RASHIDI KOMEIJANI, “USING NONLINEAR GOAL PROGRAMMING FOR OPTIMIZATION OF PROBLEMS WITH MULTI LEVEL SOLUTIONS,” JOURNAL OF INDUSTRIAL STRATEGIC MANAGEMENT (PAJOUHESHGAR), vol. 6, no. 14, pp. 92–96, 2009, [Online]. Available: https://sid.ir/paper/151481/en

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