In the article was presented managing transport in the forwarding enterprise using modern tools. The transport process requires joining many crucial elements Which in the direct way influence the quality of services provided and the position of the company on the competitive market. Customers more and more often before making a decision on choice of the transit company draw on own experience. At present the product should be delivered in the shortest time the most possible, at lowest costs and keeping the appropriate Return quality of provided services. Forwarding tools used for managing transport are in our times well-known in many companies. The process finding the Competent transit company and delivering the parcel in the set time is time-consuming and requires having Suitable experience and Qualifications. Tools used in this process should be modernized what lets the Possibility of the company Increase. The main aim is to show the latest tools forwarding and ways to use them to improve the quality of transport services.
The article contains an evaluation of the quality and universal character of three models of prognosticating insolvency, constructed on the basis of discrimination analysis and artificial neural networks. The evaluation of the created models was conducted on the basis of four companies operating in different lines of business, which declared bankruptcy in the years 2002-2003. The objective of the verification was to find out, how many years in advance it was possible to predict insolvency with the help of the models in question, and whether the line of business in which a given company operated might influence the efficiency of the said models.
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