magistrsko delo
Anže Medved (Author), Uroš Lotrič (Mentor)

Abstract

Skladiščni sistemi so postavljeni pred širok spekter izzivov pri zagotavljanju kakovostnih storitev za stranko. Med vsemi procesi, ki se izvajajo v skladišču, je proces nabiranja časovno najzahtevnejši, zato je ključno, da je izveden čim bolj optimalno. V okviru magistrske naloge smo se zato lotili optimizacije nabiralnega procesa v ročnem skladišču. Predlagali smo hierarhični logični model skladišča, ki s svojo strukturo zmanjša število lokacij, ki jih morajo pregledati implementirani algoritmi za iskanje najkrajše nabiralne poti. Hkrati nam tovrstni model omogoča, da podrobno deljenje lokacij ne vpliva na izvajanje algoritma. Pripravili smo modul za optimizacijo nabiralne poti, ki glede na velikost in tip problema izbere enega od treh implementiranih algoritmov. Prenovili smo procese, povezane z uporabo polavtomatskih viličarjev, in razvili grafični spletni vmesnik za pregled pogostosti nabiranja.

Keywords

ročno skladišče;nabiranje;optimizacija nalog;računalništvo;računalništvo in informatika;magisteriji;

Data

Language: Slovenian
Year of publishing:
Typology: 2.09 - Master's Thesis
Organization: UL FRI - Faculty of Computer and Information Science
Publisher: [A. Medved]
UDC: 004(043.2)
COBISS: 1538386115 Link will open in a new window
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Other data

Secondary language: English
Secondary title: Optimisation of picking process in manual warehouses
Secondary abstract: Warehouse operators and warehouse management systems encounter a broad spectrum of challenges to ensure the shortest possible shipping times to their customers and maintain their position on the market. The picking process is the most time-demanding among all core warehouse processes. Optimisation of picking is crucial for effective warehouse operation, since it represents the majority of warehousing costs. In this thesis we analyzed, proposed and implemented optimisations of the picking process in the manual warehouse. We prepared a logical model of the warehouse, which is based on a hierarchical representation of the warehouse locations. Using this model we reduced the number of locations, which have to be considered during the computation of the shortest picking path in the implemented algorithms. We developed a module for picking path optimisation, which selects one of three implemented algorithms based on the problem size and the warehouse type. To further improve the picking process we introduced changes to the semi-automatic forklift operations and developed a graphical web interface for the warehouse picking heatmap.
Secondary keywords: manual warehouse;picking;task optimization;computer science;computer and information science;master's degree;
Type (COBISS): Master's thesis/paper
Study programme: 1000471
Embargo end date (OpenAIRE): 1970-01-01
Thesis comment: Univ. v Ljubljani, Fak. za računalništvo in informatiko
Pages: 76 str.
ID: 11238161