Совершенствование процесса оперативного планирования цепей поставок металлургических предприятий
This article is a continuation of the series of articles devoted to the creation of industry-specific practical methodology of supply chain planning of industrial enterprises (on the example of iron and steel complexes).
The article presents the results of a survey of the process of operational planning of supply chains for metallurgical enterprises. Based on the analysis of the processes of SCOR and GSCF the following is proposed: an improved operational planning process of supply chains; the method based on the organization process of independent planning of the various supply chain stages in parallel, which allows to avoid the situation of unintentional and irrevocable removal of proposals of different planners; a special synchronization algorithm for the plans of various planners. The paper examines the issues of sustainability and risks of the plans.
Scientific survey is based on fundamental and applied developments of domestic and foreign scientists in the field of economic theory, management theory, logistics theory and supply chain management, methods of mathematical modeling, business process modeling methodology, system analysis, operations research and expert evaluation methods.
As a result of the study, the deficiencies of the description of the operational planning of the supply chain in SCOR and GSCF are revealed; an improved process and method of operational planning is proposed. In conclusion, an example of successful implementation of the developed approach at TimkenSteel is given.
The 20th World Congress of the International Federation of Automatic Control IFAC 2017,Toulouse, France
The paper analyzes melt shop and caster scheduling at special steel maker – Trinecke Zelezarny. The main optimization objectives of melt shop and caster scheduling are defined as: minimization of earliness and lateness of orders, maximization of tundish utilization, minimization of steel grade changes and minimization of mold width changes, minimization of stock, minimization of over grading, management of iron inventory. The following key problems of scheduling are defined: underdeveloped optimization algorithms and insufficient computer performance. Based on this the key provisions of a new method of melt shop and caster scheduling are proposed. The method significantly improves quality of planning. It includes the following three stages: production capacity allocation; heat building; sequencing. An experience of successful practical development and implementation of specialized software solution based on the new method at Czech special steel maker is provided.
This paper investigates a three-stage supply chain scheduling problem in the application area of aluminium production. Particularly, the first and the third stages involve two factories, i.e., the extrusion factory of the supplier and the aging factory of the manufacturer, where serial batching machine and parallel batching machine respectively process jobs in dierent ways. In the second stage, a single vehicle transports jobs between the two factories. In our research, both setup time and capacity constraints are explicitly considered. For the problem of minimizing the makespan, we formalize it as a mixed integer programming model and prove it to be strongly NP-hard. Considering the computational complexity, we develop two heuristic algorithms applied in two different cases of this problem. Accordingly, two lower bounds are derived, based on which the worst case performance is analyzed. Finally, dierent scales of random instances are generated to test the performance of the proposed algorithms. The computational results show the effectiveness of the proposed algorithms, especially for large-scale instances.
The paper examines strategically important management tool - Advanced Planning and Scheduling systems (APS systems) and their efficiency in Demanding Planning Environment. The key characteristics of Demanding Planning Environments are systematized: the uniqueness of the technological processes; high complexity and scope; limited ability to describe and low predictability; high volatility and change sensitivity. The new generation of APS systems is defined. The comparative analysis of the planning systems of several generations (MRP II, APS I, APS II) is provided. Finally, examples of implementations of the new generation APS systems at Trinicke Zelezarny, Czech Republic; TimkenSteel, USA; VSMPO-AVISMA Corporation, Russia are provided.
The paper examines the structure, governance, and balance sheets of state-controlled banks in Russia, which accounted for over 55 percent of the total assets in the country's banking system in early 2012. The author offers a credible estimate of the size of the country's state banking sector by including banks that are indirectly owned by public organizations. Contrary to some predictions based on the theoretical literature on economic transition, he explains the relatively high profitability and efficiency of Russian state-controlled banks by pointing to their competitive position in such functions as acquisition and disposal of assets on behalf of the government. Also suggested in the paper is a different way of looking at market concentration in Russia (by consolidating the market shares of core state-controlled banks), which produces a picture of a more concentrated market than officially reported. Lastly, one of the author's interesting conclusions is that China provides a better benchmark than the formerly centrally planned economies of Central and Eastern Europe by which to assess the viability of state ownership of banks in Russia and to evaluate the country's banking sector.
The paper examines the principles for the supervision of financial conglomerates proposed by BCBS in the consultative document published in December 2011. Moreover, the article proposes a number of suggestions worked out by the authors within the HSE research team.