A major challenge in the initial stage of production planning for the steel industry is the material allocation problem (MAP): finding the best match of orders and materials (steel slabs and coils) with respect to an objective function that takes into account order due dates, preferences for matches, allocated weights, surplus weights of materials, and other factors. The MAP is NP-hard and is d...

The automotive industry is using more and more of Advanced High Strength Steel in order to reduce the weight of the car. Since this will generate more springback, it is of vital importance to be able to predict the amount of springback in the parts. Otherwise, many late changes have to be made in order to fit the parts in their position. In order to increase the ability to understand and test t...

Steel production is energy intensive so already has achieved impressive levels of energy efficiency. If the emissions associated with steel must be reduced in line with the requirements of the UK Climate Change Act, demand for new steel must be reduced. The strategies of 'material efficiency' aim to achieve such a reduction, while delivering the same final services. To meet the emissions target...

The demand of highest possible effectiveness is put on all production processes, while the highest quality is demanded from products. These requirements are particularly justifi ed in the steel industry, due to high cost of technical equipment assembly and production cost. In such conditions continuous processes are of signifi cant meaning, since they facilitate maximum utilization of productio...

Mold powders are used as raw materials in continuous casting of steel industry; Also they are mostly composed of aluminum, calcium, silica oxides, alkaline and earth-alkaline oxides along with carbon and fluor. Two of the most important duties of mold powders are the lubrication of the space between mold walls and steel shell, and heat transfer control between steel shell and the copper mold. F...

This paper discussed possible application of soft computing methods in uncertainty management of the HR component in steel industry during automation period. It explained the importance of HR and the concept of uncertainty management. Then it discussed what to look in soft computing for uncertainty management. Keywords-HR, Soft Computing, space mapping, surrogate model, uncertainty management

C. Roman, “Stefan cel Mare” University, Faculty of Economics, Suceava, Romania. Iron and steel industry is an important sector of the real Romanian economy, knowing the fact that, generally, the metallurgy is a very important indicator of internal consumption. The most important companies in this sector are part of international groups (Arcelor Mittal, Mechel, TMK and Tenaris), which ensure an ...