Logistic process is a basic factor in the success of manufacturing plants’ operation and has a direct impact on its efficiency, flexibility and reliability. Today’s successful operation of manufacturing processes views logistics as a high priority to ensure maximum utilization of resources. The material supply of manufacturing processes in the automotive industry is usually based on supermarkets and milk runs. This paper proposes an integrated supply model of manufacturing processes, which includes facility location and assignment. After a careful literature review, this paper introduces a mathematical model to formulate the problem of supermarkets and milk run based supply of machines. The model seeks the optimal location of buffers as well as the optimal assignment of buffers and machines so as to minimize the material handling costs while taking into account order limits of machines and capacities of resources. Next, we demonstrate an enhanced black hole algorithm dealing with multi-objective supply chain model to find the optimal structure of the system. Numerical results demonstrate how the proposed model supports the efficiency, flexibility and reliability of the manufacturing process.
The Institute of Logistics of the University of Miskolc started training logistics in Hungarian higher education for the first time in the early 1990s. In recent decades, the training structure and laboratory infrastructure of the institute have changed significantly, relying on the relevant educational and research connections in Germany. The publication presents one of the institute's laboratories, the High-tech Integrated Logistics Laboratory, which contains a number of material handling equipment (pallet handling cell, AGV, automated warehousing system, etc.), which provides an opportunity for fulfillment of high-quality teaching and research tasks. In addition to a brief presentation of the laboratory, the researchers present their future ideas about the laboratory in different areas of development, which can also serve as a useful guide for other professionals involved in logistics education and research.
Nowadays, the development of higher efficient processes and procedures is the key for success in industrial environment. The companies have machines, production lines, software and hardware tools with high level principles of efficient working. Example: the Industry 4.0 concept use the machines and methods of the near past, upgrade them, and gave them new purpose, as a more efficient tool. Some of the bases of those tools are not as efficient as which many would think, like in group generating or in other word clustering. Clustering is a very hard process, and it is in almost every decision making in every company’s lives. It is important to sometimes examine its significance and flaws. This paper presents the clustering briefly and shows its errors through an example.
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.
A szimulációs technikák már évtizedek óta rendelkezésünkre állnak és folyamatosan fejlődnek. Az Ipar 4.0 és Logisztika 4.0 elvein belül is nagy szerepet kapnak az újabb szimulációs technikák, amelyek nem csak a valóságot képezik le minél hűebben, hanem már közvetlen valós idejű kapcsolattal rendelkeznek egy rendszer döntésképességének javítása érdekében. Ahhoz, hogy ezeket az elveket felhasználjuk a valóságban szükségünk van egy általánosított modellre, amely alapján egy gyártórendszer leképezhető. Jelen műben egy ilyen modell alapján mutatjuk be egy létező gyár belső logisztikai rendszerének a szimulációs vizsgálatát, amely elsősorban dolgozók feladatonkénti szétosztását és járműpark felülvizsgálatára koncentrál.
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