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1.
Evaluation of Machine Learning Algorithms for Predicting the Processing Time of Order Picking in a Warehouse
Tilen Škrinjar, 2019, magistrsko delo

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.
Ključne besede: warehouse, order picking, machine learning, regression analysis
Objavljeno: 25.02.2019; Ogledov: 612; Prenosov: 0

2.
Automatic S-phase arrival identification for local earthquakes
Izidor Tasič, Franc Runovc, 2009, izvirni znanstveni članek

Opis: In the case of a strong local earthquake, a quick report about the earthquake’s location is expected. Such reports are usually performed automatically, where the identification of the seismic-phase arrival of the various seismic waves on the seismogram is the most important task. For this purpose, numerous detecting methods for the first P-wave arrival identification and determination are used. But in some cases, where the number of seismic stations in a local seismic network is very small, an automatic reading of the S-wave arrival is required. An algorithm for the automatic picking of the S wave arrival from three-component seismic data has been developed. Three parameters of the signal are calculated from these data and the S phase arrival is declared when the product of the three parameters increases above a reference level. Such a so-called S-phase picker is used to automatically analyze the data from local earthquakes in Slovenia's seismic network.
Ključne besede: seismic waves, P and S waves, analysis of seismogram data, automatic picking of the S-wave arrival, seismic station, seismic network
Objavljeno: 06.06.2018; Ogledov: 393; Prenosov: 41
.pdf Celotno besedilo (283,31 KB)
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3.
Use of ergonomic principles in manual order picking systems
Nina Labus, Brigita Gajšek, 2018, izvirni znanstveni članek

Opis: Successful companies are continually striving to streamline costs and optimize processes, enabling them to grow progress, develop and ensure competitiveness on the market. A large part of the costs arises in warehouses, where up to 55% of total costs are generated by order- picking, which makes it important and interesting in terms of research. The paper explores "picker to part" order- picking concept, which enables flexible work and is the optimal choice for most companies. The concept is associated with a high level of work- related injuries and work -related illnesses. Work requires physical efforts resulting from handling heavy goods, performing repetitive movements and using manipulative means. Hum an as the main actor of the concept affects the costs caused by picking and the quality of work done, which depends on technological support, physically and psychologically capable and motivated people. Due to the high costs of service, the focus on time planning and productivity increases. Contrary, the lack of attention is paid to the working conditions and the health status of the pickers. To overcome this gab, a review of scientific and professional literature on ergonomic principles in picking concept "picker to part" was carried out, followed by a quantitative survey of ergonomic properties in warehousing activities. Results revealed that more than 60% of the surveyed order-pickers associate problems with health with the characteristics of work, about 24% of them associate health problems with the use of a particular means of transport, and all agree that provided measures to reduce physical effort and greater support of technologies influence on increased speed of work and better health status of order-pickers.
Ključne besede: injuries, picker-to-part, ergonomics, picking, productivity, costs
Objavljeno: 25.04.2018; Ogledov: 586; Prenosov: 287
.pdf Celotno besedilo (344,50 KB)
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