Process Optimization under Insufficient Experimental Information in the Phase of Service

Autor:	Yu. M. Volin, G. M. Ostrovskii
Rok vydání:	2005
Předmět:	Flexibility (engineering) Service (business) Engineering Mathematical optimization Control and Systems Engineering business.industry Process (computing) Phase (waves) Process optimization Electrical and Electronic Engineering business
Zdroj:	Automation and Remote Control. 66:1195-1211
ISSN:	1608-3032 0005-1179
DOI:	10.1007/s10513-005-0160-8
Popis:	The existing methods of process optimization under uncertain initial information are based on the assumption that in the phase of service known are the exact values of all parameters, which in the phase of design were regarded as partially uncertain. This assumption is too rigid and in practice often is not true. The paper presented new flexibility conditions and a new two-phase problem of optimization with the assumption that in the phase of service the precise values are known only for part of the uncertain parameters. An algorithm was developed to solve the two-phase problem for the case of insufficient experimental information in the process service phase.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::4f67ed438877441c855d7d3d771f2d7a https://doi.org/10.1007/s10513-005-0160-8 Zobrazit plný text záznamu Plný text ve formátu PDF