Uporaba umetne inteligence v logističnih informacijskih sistemih

Abstract

Logistika je dejavnost, ki se ukvarja z upravljanjem toka materialov od virov do porabnikov tako znotraj enega podjetja kot med več podjetji. Cilj logistikeje zagotoviti prave dobrine in storitve, na pravem mestu ob pravem času, količini in kakovosti, z najnižjimi stroški in vplivi na okolje, skladno s sklenjeno pogodbo. Implementacija računalniških tehnologij na področje logistike zahteva razvoj logističnega informacijskega sistema, kot povezane skupine podsistemov odgovornih za posamezna področja logistike. Znotraj posameznega podsistema pa se lahko uporabijo tudi metode umetne inteligence, ki lahko znatno zmanjšajo potreben čas uporabe sistema in številov posamezen projekt vključenih ekspertov, s čimer prispevajo k zmanjšanju skupnih proizvodnih stroškov. V članku je predstavljena zgradba vzorčnega logističnega informacijskega sistema, namen in področje enega izmed njegovih podsistemov in možnost implementacije inteligentnega svetovalnega sistema znotraj tega logističnega informacijskega podsistema.

Keywords

logistika;proizvodni proces;logistični informacijski sistemi;CIM;inteligentni svetovalni sistem;

Data

Language:	Slovenian
Year of publishing:	2008
Typology:	1.09 - Published Professional Conference Contribution
Organization:	UM FS - Faculty of Mechanical Engineering
UDC:	658
COBISS:	12325910
Parent publication:	Logistični sistemi prihodnosti
Views:	1947
Downloads:	118
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary abstract:	Logistics is the management of the flow of goods, information and other resources, including energy and people, between the point of origin and the point of consumption in order to meet the requirements of consumers. Logistics involve the integration of information, transportation, inventory, warehousing, material-handling, and packaging. Implementation of computer aided technologies in the field of logistics requires development of logistic information system, as connected group of subsystems covering particular field of logistics. Inside these subsystems methods of artificial intelligence can be introduced in order to save time in project realization, and also to reduce number of experts involved in specific project. The result of introduction of artificial intelligence can be seen especially in reduction ofoverall production costs. The article presents the architecture of logistic information system including the purpose and domain area of one subsystem together with possibilities of intelligent advisory system implementation in the scope of logistic information sub-system.
Secondary keywords:	logistics;production process;logistic information system;CIM;intelligent advisory system;
URN:	URN:SI:UM:
Pages:	Str. 164-167
ID:	8717792