With the development of computers and software products, there is now greater use of quantitative methods in industrial enterprises when making managerial decisions. One of the most applicable solutions to computer simulation algorithms is the Monte Carlo method. The application of the Monte Carlo algorithm lies in finding a relation between the individual variables, which are the solutions to the problem and represent the characteristics of random processes reproducible on computers. The aim of this article is to show the application of simulations from the Monte Carlo algorithm using the example of optimising vehicle fleet capacity so that the total daily costs spent on transporting goods are minimal.
The paper focuses on reducing the energy intensity of ladle metallurgy as part of steel production and the associated reduction of pollutant emissions. This can be achieved by optimising the thermal work of metallurgical aggregates in terms of the impact on energy consumption and the environmental burden of steel production. It is about minimising the heat loss of liquid steel in the casting ladle throughout the entire process from the melting equipment, through the extra-furnace processing, to the continuous casting of the steel.
Electronic information transfer has existed for decades, and the many advantages of this type of communication are employed by large companies where quick, flawless and secure data transfer is essential. Many companies use advanced information systems internally, hence most of their documents are created in electronic format. It could therefore be said that for companies to exchange documents in hardcopy or via email and manually file these documents is an anachronism. If a company decides to take advantage of more modern data transfer technology, this is often more a necessity rather than a competitive advantage if the enterprise wants to remain relevant to key customers or suppliers.The aim of the article was to identify the suppliers and customers who would be ideal to implement joint EDI communications with, predict the efficiency and speed of purchasing and sales processes, recommend the broader use of EDI communication integration, evaluate the advantages and disadvantages of implementing EDI, and subsequently propose a suitable EDI cloud solution to integrate with the information system at a metallurgical enterprise.
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