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

Vitaliy Pavlenko | Zendy; T. Pavlenko | Zendy; Olga Morozova | Zendy; Anna Kuznetsova | Zendy; Olena VOROPAI | Zendy

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

Author(s) -

Vitaliy Pavlenko,

T. Pavlenko,

Olga Morozova,

Anna Kuznetsova,

Olena VOROPAI

Publication year - 2017

Publication title -

transport problems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.224

H-Index - 12

eISSN - 2300-861X

pISSN - 1896-0596

DOI - 10.20858/tp.2017.12.2.4

Subject(s) - computer science , transport engineering , engineering

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.

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