| Naslov: | Evaluation of Machine Learning Algorithms for Predicting the Processing Time of Order Picking in a Warehouse |
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| Avtorji: | ID Škrinjar, Tilen (Avtor)
ID Strnad, Damjan (Mentor) Več o mentorju... 
ID Lengheimer, Mario (Komentor) |
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| Datoteke: |  MAG_Skrinjar_Tilen_2019.pdf (3,28 MB)
MD5: 17B32DF8D48CA9BDEB49D864096A72A2
PID: 20.500.12556/dkum/5940b27b-e891-481f-9ff9-81abbf5c6d3e
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| Jezik: | Angleški jezik |
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| Vrsta gradiva: | Magistrsko delo/naloga |
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| Tipologija: | 2.09 - Magistrsko delo |
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| Organizacija: | FERI - Fakulteta za elektrotehniko, računalništvo in informatiko
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| Opis: | Optimization of warehouse processes increases efficiency and lowers the cost of managing a warehouse. The most expensive and time-consuming activity is picking. Knowing picking process time is an important factor for proper organization of material and information flow. Orders delivered to a packing station too early or too late can cause delays in a warehouse. The purpose of this study is to evaluate machine learning pipeline for processing time prediction of order picking. This includes data gathering, data preprocessing and the evaluation of machine learning algorithms, which are the most important aspects of this research. |
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| Ključne besede: | warehouse, order picking, machine learning, regression analysis |
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| Kraj izida: | [Maribor |
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| Založnik: | T. Škrinjar |
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| Leto izida: | 2019 |
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| PID: | 20.500.12556/DKUM-73067 |
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| UDK: | 004.85.021(043.2) |
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| COBISS.SI-ID: | 22167830 |
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| NUK URN: | URN:SI:UM:DK:LCAOQ9KN |
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| Datum objave v DKUM: | 25.02.2019 |
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| Število ogledov: | 2254 |
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| Število prenosov: | 87 |
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| Metapodatki: |    |
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| Področja: | KTFMB - FERI
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