Nowadays, manufacturing and service companies are increasingly using new IT-based methods and solutions. Two of these areas are the use of augmented reality (AR) and virtual reality (VR). Kyrgyz National Agrarian University named after K.I. Skrybian (KNAU) and Kyrgyz State Technical University Named After Iskhaak Razzakov (KSTU) established VR laboratories with the support of an European project, in which the Institute of Logistics of the University of Miskolc played a key role. In this publication, we present the basics of VR and AR technology, with the current market and research shares and lastly its application in laboratories and industrial environments.
The rapid adoption of Industry 4.0 principles in the manufacturing sector during the last couple of years has created numerous possibilities for development. One key area related to manufacturing in which Industry 4.0 solutions can have a significant impact is the field of materials handling. However, today the majority of manufacturing companies still overly rely on the utilization of standard forklift material handling systems for supporting their operations. In this paper, our goal is to present a novel process improvement method utilizing Industry 4.0 principles which could significantly aid in the design of efficient forklift material handling systems. We believe that by utilizing the opportunities inherent in Industry 4.0 (in this case mainly sensor systems, big data analysis, digitalization and real-time data transfer), forklift based material handling can be elevated to an entirely new level in terms of efficiency, which could greatly improve the overall performance of the vast majority of manufacturing systems.
There are a number of untapped opportunities for cross-border logistics cooperation, one of which is the operation of virtual logistics centers. The Institute of Logistics of the University of Miskolc researched the possibilities of establishing and operating Virtual Logistics Centers in many fields (e.g. automotive industry, maintenance systems, etc.). The paper describes a proposed concept for the operation of virtual logistics centers for cross-border cooperation, as well as explores the possible benefits of the application. The proposed concept can provide a good basis for the development of a virtual logistics center in the border regions of Miskolc (Hungary) - Košice (Slovakia), and also in the border regions of Bishkek (Kyrgyzstan) -Almaty (Kazakhstan).
This paper examines to get a clear picture about the status quo of fruit distribution, to identify current drawbacks, also to develop and to implement an end-to-end distribution system, covering the total value chain from the local farmer in the countryside, through regional consolidation points, through consolidation centers in the oblast up to the export preparation and processing. The study encompasses a conceptual framework for stepwise restructuring and transition to an efficient and responsive fruit value chain, tasks and milestones for implementation, accordingly apply following methods: interviews, document analysis, business process modeling techniques, all classical methods weak points analysis, requirement documentation techniques, workshops, network optimization models, facility locations models, transport optimization models, information flow optimization models and use-value analysis.
Az Ipar 4.0 technológiák nemcsak a gyártási és összeszerelési folyamatok teljesítményét javíthatják, hanem a kapcsolódó logisztikai műveletek hatékonyságát is növelhetik. A cikk keretein belül bemutatunk egy rendszert a termékkeveredési problémák azonosítására az RFID technológiák segítségével. Először az a laboratórium kerül bemutatásra, ahol a technológia alkalmazásra kerül. A rakományegységek építési felszereléseinek és termékeinek azonosítása RFID-címkék alapján történik. Excelformátumú adatbázis fájlt használtunk a termékek kötési mátrixának tárolásához. Kidolgoztunk egy szoftvert, amely irányítja az ipari IF30 RFID olvasót. Szoftverünk egy termékcsalád-észlelési tesztet is képes készíteni. A cikk kitér még a jövőbeni kutatási irányokra is.
As a result of the increasingly diversified customer needs, investments to transform the production system are gaining prominence. Due to the complexity of the transformation, in many cases there are logistical problems that hinder the current and/or future satisfaction of customer needs due to inadequate planning. The paper also explores the types of possible logistics problems that may occur after the implementation of the investments, as well as the steps of applying a simulation test method to address them.
This paper examines creating a value chain in export honey from the Kyrgyz Republic. The annual production is 12,000 tons, 500 tons are exported. The Supply Chain Operation Reference (SCOR model) at three stages of optimization of honey production has been adapted. The following research methods were used: desk study, survey of producers and consumers, interviews with relevant organizations, personal observations retailers. At the initial stage of optimization, recommended to maintain planning of the number of bee colonies. How to effectively use natural resources for bee colonies - finding useful flora (a flowering mass of plants to collect nectar) and finding areas with the best climate (temperature, humidity, sunshine, air movement) are the objectives of action plan for interim stage. The natural mountain landscape, the sun, air, water give honey special qualities, therefore, at the final stage of market promotion, honey must acquire potential status as a unique product. For honey producers there are two optimal options for export. The first is the packaging of honey in a container of 0.1–0.2 l., and positioning it as an expensive premium product. High marketing costs are offset by high added value in the supply chain. The second is the delivery of honey in large containers of 20–30 l., for further packaging, already in the territory of the buyer. An attractive choice for honey producers with guaranteed product sales and high profitability of sales. Research results increase honey production up to 30% and export volume up to 7%.
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