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1.
Biorazgradljiva embalaža v oskrbovalni verigi : diplomsko delo univerzitetnega študijskega programa
Lazar Cvejić, 2023, diplomsko delo

Opis: V diplomskem delu se ukvarjamo z analizo pojavov in procesov, povezanih z biorazgradljivo embalažo v oskrbovalni verigi. Najprej predstavimo relevantne pojme, tj. logistika, oskrbovalna veriga in embalaža. V nadaljevanju predstavimo teoretične vidike biorazgradljive embalaže, praktične primere uporabe ter prednosti in slabosti biorazgradljive embalaže. V praktični raziskavi, izvedeni s pomočjo ankete, smo ocenjevali ozaveščenost potrošnikov o biorazgradljivi embalaži v oskrbovalni verigi. Ugotovili smo, da so potrošniki v glavnem dobro seznanjeni z uporabo biorazgradljive embalaže, vendar je ne uporabljajo v veliki meri.
Ključne besede: embalaža, biorazgradljiva, logistika, oskrbovalna veriga
Objavljeno v DKUM: 14.02.2024; Ogledov: 43; Prenosov: 2
.pdf Celotno besedilo (1,22 MB)

2.
Dostava blaga z droni : diplomsko delo univerzitetnega študijskega programa
Milica Obradović, 2023, diplomsko delo

Opis: Dostava blaga je življenjska sila današnje maloprodaje, ki vse bolj uporablja sodobne tehnologije in se sklicuje na internet, kar je močno okrepilo vlogo dostavnih podjetij. S hitrim razvojem na vseh področjih se razvija tudi nov način razmišljanja o sami tehnologiji. Droni omogočajo lažji dostop do lokacij, kjer to prej ni bilo mogoče, olajšajo spremljanje kritičnih lokacij in povečujejo varnost. Odigrali so pomembno vlogo v boju proti pandemiji koronavirusa. Vsekakor pa se bo njihova vloga dolgoročno v številnih sektorjih okrepila. Osnovni namen naše raziskave je predstaviti značilnosti uporabe dronov v podjetjih za dostavo blaga in identificirati ovire, ki se pri tem pojavljajo. S pomočjo ankete smo preverili, kako ljudje sprejemajo dostavo z droni. Na koncu naše raziskave predlagamo možne rešitve za odpravo ovir na tem področju.
Ključne besede: droni, tehnologija, maloprodaja, dostava, raziskava
Objavljeno v DKUM: 14.02.2024; Ogledov: 46; Prenosov: 4
.pdf Celotno besedilo (1,49 MB)

3.
Kavcijski sistem za embalažo pijač : diplomsko delo univerzitetnega študijskega programa
Ivana Vidačković, 2023, diplomsko delo

Opis: Glavni namen diplomskega dela je raziskati kavcijski sistem za embalažo pijač. V teoretičnem delu smo raziskali, kaj predstavlja kavcijski sistem, kakšen je njegov prispevek k ohranjanju okolja in trajnosti. V nadaljevanju diplomskega dela smo identificirali prednosti ter slabosti kavcijskega sistema za embalažo. Izvedli smo raziskavo s pomočjo anketnega vprašalnika, s katerim smo preverili ozaveščenost prebivalcev o kavcijskem sistemu za embalažo. Kavcijski sistem predstavlja sistem vračila embalaže, pri katerem potrošniki ob nakupu pijače doplačajo samo za embalažo, ki jo lahko vrnejo, ko gredo v trgovino ali drugo mesto, kjer obstaja možnost povračila kavcije. Na ta način so potrošniki finančno motivirani za sodelovanje v sistemu kavcije. Prevzem embalaže in vračilo kavcije na prodajnih mestih je možno ročno ali avtomatsko. Na podlagi vseh raziskav, ki sem jih opravila med svojim diplomskim delom, smo prišli do zaključka, da ima kavcijski sistem pomembno vlogo pri ohranjanju okolja in ljudi.
Ključne besede: kavcijski sistem, kavcija, embalaža, odpadki, krožno gospodarstvo
Objavljeno v DKUM: 13.02.2024; Ogledov: 51; Prenosov: 6
.pdf Celotno besedilo (2,26 MB)

4.
Indoor positioning system based on bluetooth low energy technology and a nature-inspired optimization algorithm
Primož Bencak, Darko Hercog, Tone Lerher, 2022, izvirni znanstveni članek

Opis: Warehousing is one of the most important activities in the supply chain, enabling competitive advantage. Effective management of warehousing processes is, therefore, crucial for achieving minimal costs, maximum efficiency, and overall customer satisfaction. Warehouse Management Systems (WMS) are the first steps towards organizing these processes; however, due to the human factor involved, information on products, vehicles and workers may be missing, corrupt, or misleading. In this paper, a cost-effective Indoor Positioning System (IPS) based on Bluetooth Low Energy (BLE) technology is presented for use in Intralogistics that works automatically, and therefore minimizes the possibility of acquiring incorrect data. The proposed IPS solution is intended to be used for supervising order-picker movements, movement of packages between workstations, and tracking other mobile devices in a manually operated warehouse. Only data that are accurate, reliable and represent the actual state of the system, are useful for detailed material flow analysis and optimization in Intralogistics. Using the developed solution, IPS technology is leveraged to enhance the manually operated warehouse operational efficiency in Intralogistics. Due to the hardware independence, the developed software solution can be used with virtually any BLE supported beacons and receivers. The results of IPS testing in laboratory/office settings show that up to 98% of passings are detected successfully with time delays between approach and detection of less than 0.5 s.
Ključne besede: warehousing, indoor positioning systems, bluetooth low energy, particle swarm optimization, nature–inspired algorithm, intralogistics
Objavljeno v DKUM: 17.08.2023; Ogledov: 302; Prenosov: 22
.pdf Celotno besedilo (2,42 MB)
Gradivo ima več datotek! Več...

5.
Product assembly assistance system based on pick-to-light and computer vision technology
Darko Hercog, Primož Bencak, Uroš Vincetič, Tone Lerher, 2022, izvirni znanstveni članek

Opis: Product assembly is often one of the last steps in the production process. Product assembly is often carried out by workers (assemblers) rather than robots, as it is generally challenging to adapt automation to any product. When assembling complex products, it can take a long time before the assembler masters all the steps and can assemble the product independently. Training time has no added value; therefore, it should be reduced as much as possible. This paper presents a custom-developed system that enables the guided assembly of complex and diverse products using modern technologies. The system is based on pick-to-light (PTL) modules, used primarily in logistics as an additional aid in the order picking process, and Computer Vision technology. The designed system includes a personal computer (PC), several custom-developed PTL modules and a USB camera. The PC with a touchscreen visualizes the assembly process and allows the assembler to interact with the system. The developed PC application guides the operator through the assembly process by showing all the necessary assembly steps and parts. Two-step verification is used to ensure that the correct part is picked out of the bin, first by checking that the correct pushbutton on the PTL module has been pressed and second by using a camera with a Computer Vision algorithm. The paper is supported by a use case demonstrating that the proposed system reduces the assembly time of the used product. The presented solution is scalable and flexible as it can be easily adapted to show the assembly steps of another product.
Ključne besede: product assembly, PTL, pick-to-light, computer vision, LabVIEW, performance analysis
Objavljeno v DKUM: 31.07.2023; Ogledov: 293; Prenosov: 16
.pdf Celotno besedilo (12,43 MB)
Gradivo ima več datotek! Več...

6.
Object detection and graspability analysis for robotic bin-picking application in intralogistics
Primož Bencak, Darko Hercog, Tone Lerher, 2023, objavljeni znanstveni prispevek na konferenci

Opis: Robotics has been gaining attention in intralogistics applications in recent years. Automation of intralogistics processes aims to cope with the rising trends of workforce deficiency, aging, and increasing demands that came with the rise of E-commerce. Many improvements aim at bin-picking applications since order-picking requires most contributions while adding little to the products' value. Robotic bin-pickers are showing promising results; however, they are still subject to many limitations. First, the vision system must correctly determine the object's location and orientation. Second, a correct robotic gripper must be chosen. Lastly, appropriate grasping points that lead to successful picking must be selected. In this paper, we explore the influencing parameters of object detection using a 3D vision system. Second, we analyze an actual bin-picking application to determine the most appropriate selection of the robotic gripper. Based on the experiments, we provide the guidelines for selecting the most appropriate robotic bin-picking configuration.
Ključne besede: intralogistics, robotic bin-picking, detection analysis, graspability analysis
Objavljeno v DKUM: 25.07.2023; Ogledov: 242; Prenosov: 11
.pdf Celotno besedilo (1,89 MB)
Gradivo ima več datotek! Več...

7.
Trendi in izzivi paketnih storitev pri Pošti Slovenije d.o.o. : diplomsko delo univerzitetnega študijskega programa
Teja Žvikart, 2023, diplomsko delo

Opis: Družbeni, gospodarski, kulturni in politični trendi prinašajo v bližnji prihodnosti številne izzive na področju paketnega poslovanja. V diplomskem delu se bomo osredotočili na tri segmente problematike, ki izhajajo iz: (1) porasta spletnega nakupovanja, (2) posledično vse večjih zahtev spletnih nakupovalcev po fleksibilnejši dostavi in (3) smernic evropske regulative po vzdrževanju čistega okolja. Na podlagi analize trenutnih procesov delovanja podjetja Pošta Slovenije, d. o. o., in obstoječih storitev, ki jih ponuja v okviru paketnega poslovanja, bodo v diplomskem delu predstavljeni in kritično ovrednoteni predlogi za spopadanje z omenjenimi spremembami v bližnji prihodnosti. Predstavljeni bodo možnosti, predlogi, potrebni pogoji in predvideni rezultati izboljšav, ki bi podjetje ohranili konkurenčno ali pa mu, kot kažejo ugotovitve, celo povečali tržni delež na področju paketne dostave v Republiki Sloveniji.
Ključne besede: paket, Pošta Slovenije, logistika, paketno poslovanje, poštne storitve
Objavljeno v DKUM: 10.05.2023; Ogledov: 408; Prenosov: 110
.pdf Celotno besedilo (2,26 MB)

8.
Evaluating robot bin-picking performance based on Box and Blocks Test
Primož Bencak, Darko Hercog, Tone Lerher, 2022, objavljeni znanstveni prispevek na konferenci

Opis: The rise of e-commerce, which demands solutions for small order sizes, large product assortment, short delivery times, and variable order quantity has created a need for more advanced warehousing and order-picking systems. The advancements in collaborative robotics have made it possible to automate intralogistics processes, especially the order-picking systems. If the items to be order-picked are stored in small containers, called bins, the process is known as bin-picking. The processes of bin-picking are still mainly manual due to the adaptability, dexterity, and pace of human hands. However, with the emerging technologies, the gap between human and robot dexterity is getting thinner. The integrators of robotic technologies are therefore faced with the challenge of choosing an appropriate robotic system for bin-picking. There is a lack of standardized procedures, which are designed to process such decisions easier. In our research paper, we propose an improved robotic version of the Box and Blocks Test (BBT), which provides a quick evaluation of a complete robotic bin-picking system. Using our improved robot-adapted BBT protocol, we evaluate a sample robotic bin-picking system, consisting of a collaborative robot, a 3D vision system and three types of robotic grippers, comparing the bin-picking performance of each configuration.
Ključne besede: robotic bin-picking, intralogistics, Box, Blocks Test, vision system, collaborative robot
Objavljeno v DKUM: 03.03.2023; Ogledov: 569; Prenosov: 38
.pdf Celotno besedilo (715,59 KB)
Gradivo ima več datotek! Več...

9.
Simulation model for robotic pick-point evaluation for 2-F robotic gripper
Primož Bencak, Darko Hercog, Tone Lerher, 2023, izvirni znanstveni članek

Opis: Robotic bin-picking performance has been gaining attention in recent years with the development of increasingly advanced camera and machine vision systems, collaborative and industrial robots, and sophisticated robotic grippers. In the random bin-picking process, the wide variety of objects in terms of shape, weight, and surface require complex solutions for the objects to be reliably picked. The challenging part of robotic bin-picking is to determine object pick-points correctly. This paper presents a simulation model based on ADAMS/MATLAB cosimulation for robotic pick-point evaluation for a 2-F robotic gripper. It consists of a mechanical model constructed in ADAMS/View, MATLAB/Simulink force controller, several support functions, and the graphical user interface developed in MATLAB/App Designer. Its functionality can serve three different applications, such as: (1) determining the optimal pick-points of the object due to object complexity, (2) selecting the most appropriate robotic gripper, and (3) improving the existing configuration of the robotic gripper (finger width, depth, shape, stroke width, etc.). Additionally, based on this analysis, new variants of robotic grippers can be proposed. The simulation model has been verified on a selected object on a sample 2-F parallel robotic gripper, showing promising results, where up to 75% of pick-points were correctly determined in the initial testing phase.
Ključne besede: intralogistics, robotic bin-picking, simulation model, ADAMS, pick-point determination, MATLAB/Simulink, 2-F robotic gripper, performance analysis
Objavljeno v DKUM: 27.02.2023; Ogledov: 538; Prenosov: 45
.pdf Celotno besedilo (19,99 MB)
Gradivo ima več datotek! Več...

10.
Razvoj ON-LINE algoritmov vodenja za robotske sisteme : magistrsko delo
Primož Bencak, 2019, magistrsko delo

Opis: Tehnološki razvoj zadnjih desetletij na področju robotike omogoča izjemne natančnosti robotskih mehanizmov. Vendar cena za vodenje takšnih mehanizmov ni majhna – zato so potrebne dodatne mehanske rešitve, ki sicer poenostavljajo vodenje, vendar nas v marsičem omejujejo. V tej magistrski nalogi se posvečamo nelinearnim regulacijam, s katerimi vodimo regulirani sistem na osnovi modela sprotno (angl. on-line). S pomočjo algoritmov računske inteligence aproksimiramo ta sistem v realnem času in na podlagi teh na modelu generiramo testne rešitve. Najboljše rešitve uporabimo kot vhod v regulirani sistem. Pozornost posvetimo izboljšavam obstoječega naprednega algoritma vodenja na osnovi modela. Tehnološki razvoj zadnjih desetletij na področju robotike omogoča izjemne natančnosti robotskih mehanizmov. Vendar cena za vodenje takšnih mehanizmov ni majhna – zato so potrebne dodatne mehanske rešitve, ki sicer poenostavljajo vodenje, vendar nas v marsičem omejujejo. V tej magistrski nalogi se posvečamo nelinearnim regulacijam, s katerimi vodimo regulirani sistem na osnovi modela sprotno (angl. on-line). S pomočjo algoritmov računske inteligence aproksimiramo ta sistem v realnem času in na podlagi teh na modelu generiramo testne rešitve. Najboljše rešitve uporabimo kot vhod v regulirani sistem. Pozornost posvetimo izboljšavam obstoječega naprednega algoritma vodenja na osnovi modela.
Ključne besede: on-line vodenje na osnovi modela, nelinearne regulacije, optimizacijski algoritmi po vzorih iz narave, vodenje robotskih mehanizmov, digitalni signalni krmilnik
Objavljeno v DKUM: 10.09.2019; Ogledov: 1420; Prenosov: 155
.pdf Celotno besedilo (18,13 MB)

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