SOLVING TRANSPORT LOGISTICS PROBLEMS IN A VIRTUAL ENTERPRISE THROUGH ARTIFICIAL INTELLIGENCE METHODS

Autor:	Vitaliy PAVLENKO, Tetiana PAVLENKO, Olga MOROZOVA, Anna KUZNETSOVA, Olena VOROPAI
Jazyk:	angličtina
Rok vydání:	2017
Předmět:	virtual enterprises transport services fuzzy relations Fuzzy Logic Toolbox simulation models Transportation engineering TA1001-1280
Zdroj:	Transport Problems, Vol 12, Iss 2, Pp 31-42 (2017)
Druh dokumentu:	article
ISSN:	1896-0596 2300-861X
DOI:	10.20858/tp.2017.12.2.4
Popis:	The paper offers a solution to the problem of material flow allocation within a virtual enterprise by using artificial intelligence methods. The research is based on the use of fuzzy relations when planning for optimal transportation modes to deliver components for manufactured products. The Fuzzy Logic Toolbox is used to determine the optimal route for transportation of components for manufactured products. The methods offered have been exemplified in the present research. The authors have built a simulation model for component transportation and delivery for manufactured products using the Simulink graphical environment for building models.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/9ebb78f43a294af29c722b9f2e3f0cdb Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF