This article describes RFID technology in conjunction with warehouse management systems. Article also deals with automatic identification and data capture technologies and each processes, which are used in warehouse management system. It describes processes from entering goods into production to identification of goods and also palletizing, storing, bin transferring and removing goods from warehouse. Article focuses on utilizing AMP middleware in WMS processes in Nowadays, the identification of goods in most warehouses is carried through barcodes. In this article we want to specify, how can be processes described above identified through RFID technology. All results are verified by measurement in our AIDC laboratory, which is located at the University of Žilina, and also in Laboratory of Automatic Identification Goods and Services located in GS1 Slovakia. The results of our research bring the new point of view and indicate the ways using of RFID technology in warehouse management system.
The process of receiving goods into the warehouse is the first stage of warehouse management. Correct receipt of fast-moving goods is the key element of the storage process as well as of the entire supply chain, which is why it is so important to avoid any disruptions at this stage. In order to identify and analyze the associated risk factors, two quality risk management methods were applied: a risk map and the fast-moving consumer goods (FMCG) method, whose goal was to determine the magnitude of individual risk factors. The presented findings indicate which risk factors are the most hazardous to the goods receipt process. A correlation was found to exist for the value of goods as well as the continuity of the consequences entailed by the occurrence of a specific factor. The article presents preventive mechanisms as a risk management tool.
The issue of material flows requires resolving a wide range of answers to questions that are part of material handling. It is important to know what the subject of handling is, what means a given material will be handled with, in what amount and time, by what route, and how this handling will be performed. We must not forget the costs involved, either in handling or storage. The answer to these questions is given by the analysis of material flows, which is dealt with during the optimisation of material handling in Bang Joo Electronics Slovakia spol. s r. o. (private limited company).
Radio Frequency Identification Device (RFID) gained a lot of attention lately, due to the technology revolution, namely the IoT of things, which allowed a wide range of applications in the manufacturing and service sectors. The research reflects the importance of using the RFID tracking system in the supplier’s distributions operations, by reducing the level of inventories’ movement, increasing accuracy in depicting in a timely manner the shipping freight, with no paperwork inaccuracies. In this regard, the methodology is based on a semi-structured interview with managers of transportation companies who have provided information of the transportation performance in both cases of use or not use of the RFID technology. The paperwork mistakes and shipping delay were the indicators registered. In this matter, SPSS quantitative methods, Pearson correlation and linear regressions have been applied. The tables reveal the strong bivariate correlation between the RFID systems, paperwork mistakes and shipment delays. The regression analysis underlines the positive strong correlation between paperwork inaccuracies and shipment delays which means that an increase in document mistakes will lead to a certain amount of time increase in shipping processes.
Spontaneuos combustion (or self-ignition) is the initiation of the burning process without an external source of ignition, such as a flame or spark. This phenomenon often occurs during storage of such substances as hay, straw as well as coal or culm. Like any other type of fire, in addition to potential material losses, it also poses a threat to people. Thanks to the systematic monitoring of landfills using a thermal imaging camera, the dangerous effects of this phenomenon can be avoided. The article presents photos taken on a coal storage site where, as a result of both prolonged heat and wind exposition, a self-ignition phenomenon occurred that was detected early due to the use of thermovision.
The evolution of technology in the field of business has led to the emergence of software programs to facilitate marketing operations, analysis and reporting various activities. Thus, there are programs for the warehouse management of raw materials and finished goods, accounting programs which facilitate the recording of accounting operations, programs for booking income and expenses.
His work, “Integrated Computer Systems ERP in SMEs” means a coordinated study for completion of undergraduate studies master's degree where we tried along with the graduate to identify ERP solutions available on the market in Romania, and to determine the degree to which SMEs use such computer solutions.
Supply chain executives are faced with the challenge of reducing labor costs. Travel time or picking efficiency can easily account for 50% or more of order picking time. If we omit human factor and the technical equipment of the warehouses, picking efficiency is mostly affected by two factors: correct combining orders into a single travel instance and picking orders in batch is the first factor; the second one is a goods placement – the more effective the goods are located, the shorter will be the picking distance for each order or batch of orders. It means that individual orders will be picked faster. Usually to determine the correct location for the goods 3PL’s are using ABC analysis that includes indicators like count of orders, goods turnover, picking rate, weight etc.
There are also more complicated indicators like goods adjacency. Such indicators are harder to take into account using ABC analysis, as it requires sophisticated analysis of customer orders.
In recent publication goods placing by results of ABC analysis was compared to the genetic algorithm approach. It was showed that genetic algorithm much more effective for goods placing.
The goal of this paper is to improve developed genetic algorithm and include in calculations factors of the labor costs and warehouse topology. These factors will make algorithm usable in real warehouses and WMS (warehouse management system) information systems.
th April, 2011 (pp. 217-219). Saint-Petersburg: Saint-Petersburg State University of Engineering and Economics. 4. Stock, J., Lambert, D.M. (2005). Logistics Strategic Management . M.: Infra-M. 5. Pilipchuk, S. F., Radaev, A. E. (December 2009). On the System of Warehousing Efficiency Indicators. Logistics and Supply Chain Management , 6(35), 40-53. 6. Tolmachev, K. (2008). Warehouse Complex Key Performance Indicators (KPI). Warehousing Technologies. WarehouseManagement, 2, 29-37. 7. Fedorenko, A. I., Zelenov, N. N. (2010). Analysis of Port Activities
Carpathian Control Conference (ICCC), High Tatras, Podbanské, Slovak Republic, 2012; ISBN: 978-1-4577-1866-3; DOI: 10.1109/CarpathianCC.2012.6228636 6. Kolarovszki P., Dúbravka V. (2010) The presentation of production line and warehousemanagement based on RFID technology through 3D modelling and animation . In: Transport and telecommunication. - ISSN 1407-6160. - Vol. 11, No. 3 (2010), s. 26-36.
References  “Solving challenge of part weight practice by count,” DATA Detection Technologies LTD, Israel, 2019. [Online].Available: https://data-technologies.com/wp-content/uploads/2019/01/Solving-the-challenges-of-part-weight-practice-by-count.pdf  W. Sanderson, “Weighing and counting machine”, Patent US659830A, issued October 16, 1900  R. L. Marcheso, B. Lukaschewsky, “Method and apparatus for calculating a piece count by weighing calculations”, Patent US3552511A, issued January 5, 1971.  C. Liang, “Warehousemanagement system for automatically