A comparative analysis involving the evaluation of the effectiveness of investment projects can be based on various rules indicating

selection of the most favorable decisions. The dynamic methods for assessment of investment projects discussed in this article, which

consider the possibility of modifying the predetermined investment options, are quite complex and difficult to implement. They are used

both in the construction phase of the new company, as well as in its subsequent modernization. The assessments should be characterized

by a high coefficient of the economic efficiency. The, observed in practice, high dynamic variability of both the external and internal

conditions under which the company operates is the reason why in the process of calculating the economic efficiency of investment

projects, there is a significant number of random parameters affected by high uncertainty and risk. Investments in the metallurgical

industry are characterized by a relatively long cycle of implementation and operation. These are capital-intensive projects and often

mistakenly taken investment decisions end in failure of the investment project and, consequently, in the collapse of the company. In

addition, the applied methods of risk assessment of investment projects, especially the dynamic ones, should be fully understood by

managerial staff and constitute an easy to use, yet accurate tool for improving the efficiency of the company.

It has been found that the area where one can look for significant reserves in the procurement logistics is a rational management

of the stock of raw materials. Currently, the main purpose of projects which increase the efficiency of inventory management is to

rationalise all the activities in this area, taking into account and minimising at the same time the total inventory costs. The paper presents

a method for optimising the inventory level of raw materials under a foundry plant conditions using two different control models. The first

model is based on the estimate of an optimal level of the minimum emergency stock of raw materials, giving information about the need

for an order to be placed immediately and about the optimal size of consignments ordered after the minimum emergency level has

occurred. The second model is based on the estimate of a maximum inventory level of raw materials and an optimal order cycle.

Optimisation of the presented models has been based on the previously done selection and use of rational methods for forecasting the time

series of the delivery of a chosen auxiliary material (ceramic filters) to a casting plant, including forecasting a mean size of the delivered

batch of products and its standard deviation