Tone Lerher (Avtor), Matej Borovinšek (Avtor), Iztok Potrč (Avtor), Matjaž Šraml (Avtor)

Povzetek

A multi objective optimization of automated warehouses is discussed and evaluated in present paper. Since most of researchers in material handling community had performed optimization of decision variables with single objective function only (usually named with minimum travel time, maximum throughput capacity, minimum cost, etc.), the multi objective optimization (travel time - cost - quality) will be presented. For the optimization of decision variables in objective functions, the method with genetic algorithms is used. To find the Pareto optimal solutions, the NSGA II genetic algorithm was used. The main objective of our contribution is to determine the performance of the system according to the multi objective optimization technique. The results of the proposed model could be useful tool for the warehouse designer in the early stage of warehouse design.

Ključne besede

automated warehouses;material handling;multi objective optimization;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.08 - Objavljeni znanstveni prispevek na konferenci
Organizacija: UM FGPA - Fakulteta za gradbeništvo, prometno inženirstvo in arhitekturo
UDK: 658.7
COBISS: 16374550 Povezava se bo odprla v novem oknu
Št. ogledov: 842
Št. prenosov: 26
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Angleški jezik
URN: URN:SI:UM:
Vrsta dela (COBISS): Delo ni kategorizirano
Strani: [23] str.
ID: 1439183