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

Abstract

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.

Keywords

automated warehouses;material handling;multi objective optimization;

Data

Language: English
Year of publishing:
Typology: 1.08 - Published Scientific Conference Contribution
Organization: UM FGPA - Faculty of Civil Engineering, Transportation Engineering and Architecture
UDC: 658.7
COBISS: 16374550 Link will open in a new window
Views: 842
Downloads: 26
Average score: 0 (0 votes)
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Other data

Secondary language: English
URN: URN:SI:UM:
Type (COBISS): Not categorized
Pages: [23] str.
ID: 1439183