Optimization of the configuration of manufacturing systems

Software for optimizing the configuration of manufacturing systems so as to reduce expenditures in all stages of the product life cycle is considered. Mathematical expressions are given for the three crossover operators used in the genetic optimization algorithm. A computational experiment indicates...

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Veröffentlicht in:	Russian engineering research 2017, Vol.37 (11), p.983-986
Hauptverfasser:	Sergeev, A. I., Serdyuk, A. I., Kuznetsova, V. B., Kondusov, D. V.
Format:	Artikel
Sprache:	eng
Schlagworte:	ALGORITHMS COMPUTER CODES CONFIGURATION Configurations ENGINEERING Engineering Design EXPENDITURES Life cycle engineering LIFE-CYCLE COST MANUFACTURING MATHEMATICAL MODELS Operators (mathematics) OPTIMIZATION Optimization algorithms Product life cycle
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Zusammenfassung:	Software for optimizing the configuration of manufacturing systems so as to reduce expenditures in all stages of the product life cycle is considered. Mathematical expressions are given for the three crossover operators used in the genetic optimization algorithm. A computational experiment indicates the most effective crossover operator.
ISSN:	1068-798X 1934-8088
DOI:	10.3103/S1068798X17110132