Iskanje po katalogu digitalne knjižnice

Opis: V diplomskem delu smo izdelali konceptualno zasnovo uvedbe avtonomnega vozila v proizvodno okolje s poudarkom na analizi možnosti, izzivov in vplivov, ki jih prinaša implementacija te tehnologije. Avtonomna vozila imajo potencial za izboljšanje intralogističnih procesov, povečanje produktivnosti in zmanjšanje operativnih stroškov, kar lahko prispeva k večji konkurenčnosti podjetja. V diplomskem delu smo raziskali pripravo na uvedbo avtonomnega vozila, izbiro ustrezne vrste in ponudnika, prilagoditev proizvodnega okolja in obstoječega sistema za upravljanje skladiščno-materialnega poslovanja ter ekonomski vidik uvedbe, vključno s povračilom naložbe. Rezultati obstoječih raziskav kažejo, da lahko avtonomna vozila učinkovito nadomestijo tradicionalne načine transporta materiala. Izhajajoč iz tega spoznanja smo definirali najprimernejšo vrsto in ponudnika avtonomnega mobilnega robota. Diplomsko delo tako predstavlja temelj za nadaljnje raziskave in implementacije avtonomnih vozil s ciljem optimizacije delovnih procesov in boljšega izkoriščanja obstoječih virov.
Ključne besede: intralogistika, avtonomni mobilni robot, AMR, uvedba v proizvodno okolje, analiza učinkovitosti
Objavljeno v DKUM: 13.05.2025; Ogledov: 0; Prenosov: 12
Celotno besedilo (4,93 MB)

Opis: Motorcyclists remain a disproportionately large group of vulnerable road users, with fatality rates significantly higher than that in other road groups. Additionally, fatal accidents involving motorcyclists have a more slowly decreasing trend in comparison to that of other road users, while the number of this kind of users is growing fast. For all these reasons, there is a need to understand what the key factors leading to fatal accidents are in order to identify the possible measures to minimize the accidents themselves or at least their consequences. This would permit, indeed, to positively impact the road traffic system, leading to the creation of the safest road traffic system possible, as it is the goal of the Sustainable Safety approach. The aim of this study is to dive into the mentioned problem, analyzing fatal motorcycle accidents in Slovenia over a decade, highlighting the key factors contributing to these incidents. By integrating data from four databases, the study evaluated accident trends, infrastructural elements, and rider behavior through a multi-stage analysis. Firstly, data were collected from four national, up-to-date databases that contain information about road accidents themselves, the road infrastructure, additional police data, and media descriptions. After merging this information into one comprehensive database, where each row represents all the data available for one accident, a general analysis of accidents’ trends over the considered 10-year period was developed, considering at first all fatal road accidents, then deepening it to accidents caused by a motorcyclist, and finally to single-vehicle accidents. A statistical analysis followed, aimed at identifying a statistical correlation between the accidents and the factors leading to them. The results of the first accident analysis indicated that excessive speed, incorrect driving direction, and overtaking maneuvers are the primary causes of fatal accidents, especially on non-urban roads preferred by motorcyclists. Single-vehicle accidents frequently involve collisions with roadside objects, including safety barriers and poles, underscoring the need for targeted infrastructural improvements. The following correlation analysis revealed that a total of seven factors were statistically significant: three human factors (age, gender, experience)—which were the ones with the strongest correlations—one infrastructural factor (pavement width), and three factors belonging to external conditions (accident type, cause, and location). Of these, four were positively correlated to the causer, while three, i.e., pavement width, causes, and road location, were negatively correlated. This study provides a foundation for future research on less severe accidents and proactive risk behavior analysis, aiming to improve motorcyclist safety comprehensively.
Ključne besede: motorcycle safety, fatal accidents, road infrastructure, rider behavior
Objavljeno v DKUM: 10.03.2025; Ogledov: 0; Prenosov: 11
Celotno besedilo (5,41 MB)
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Opis: This thesis focuses on creating a framework for evaluating the influence of closed-loop on supply chain performance in the case of petrochemical industry in the Egyptian context, with a focus to test the influence of sustainability on the supply chain performance, to investigate the function of sustainability as a mediator between reverse logistics and supply chain performance, and evaluate the impact of closed-loop supply chains (environmental legislation, customer awareness and economic motivations) on sustainable development. The gathering of primary data helped the current study's goals get accomplished. Surveys are used to gather data to estimate how reverse logistics impacts the effectiveness of the supply chain. The employees of supply chain companies in Egypt received the surveys from the researcher. The study's findings indicate a strong link between sustainability and reverse logistics. Additionally, there is a marginally significant correlation between supply chain performance and sustainability. The outcomes also showed that the closed-loop supply chain has little influence on supply chain efficiency and sustainability. Furthermore, there is a marginally significant association between supply chain effectiveness and reverse logistics. The results also revealed that sustainability has a function in supply chain performance and reverse logistics.
Ključne besede: closed loop-supply chain, reverse logistics, supply chain performance, sustainability, logistics, capacity building
Objavljeno v DKUM: 16.10.2024; Ogledov: 0; Prenosov: 12
Celotno besedilo (2,45 MB)

Opis: Vision picking empowers users with access to real-time digital order information, while freeing them from handheld radio frequency devices. The smart glasses, as an example of vision picking enabler, provide visual and voice cues to guide order pickers. The glasses mostly also have installed navigation features that can sense the order picker's position in the warehouse. This paper explores picking errors in vision systems with literature review and experimental work in laboratory environment. The results show the effectiveness of applying vision picking systems for the purposes of active error prevention, when they are compared to established methods, such as paper-picking and using cart mounted displays. A serious competitor to vision picking systems are pick-to-light systems. The strong advantage of vision picking system is that most of the errors are detected early in the process and not at the customer's site. The cost of fixing the error is thus minimal. Most errors consequently directly influence order picker's productivity in negative sense. Nonetheless, the distinctive feature of the system is extremely efficient error detection.
Ključne besede: order picking, storage operations, warehousing, smart glasses, error prevention, inventory management, intralogistics
Objavljeno v DKUM: 22.08.2024; Ogledov: 83; Prenosov: 5
Celotno besedilo (672,66 KB)
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Opis: The logistics sector should strive for sustainability alongside productivity by protecting its order pickers' health and welfare. Existing storage assignment models are mainly based on the criterion of order picking time and, to a lesser extent, the human factor. In the paper, a solution to a storage assignment problem using a multi-objective model based on binary integer linear programing is presented by developing a solution that considers order picking time, energy expenditure and health risk. The Ovako Working Posture Assessment System (OWAS) method was used for health risk assessment. The downside of solely health risk-optimization is that the average order picking time increases by approximately 33 % compared to solely time-optimization. Contrary to this, the developed multi-objective function emphasizing time has proven to be promising in finding a compromise between the optimal order picking time and eliminating work situations with a very-high risk for injuries. Its use increases the time by only 3.8 % compared to solely time-optimization while significantly reducing health risk.
Ključne besede: productivity, energy expenditure, order picking, order picking system, health risk, OWAS, multi-objective modeling, planning, logistics, ergonomics
Objavljeno v DKUM: 13.08.2024; Ogledov: 109; Prenosov: 11
Celotno besedilo (3,63 MB)
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