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Nowadays, constructing effective statistical estimates with a limited amount of statistical information constitutes a significant practical problem. The article is devoted to applying the Bayesian scientific approach to the construction of statistical estimates of the parameters of the laws of distribution of random variables. Five distribution laws are considered: The Poisson law, the exponential law, the uniform law, the Pareto law, and the ordinary law. The concept of distribution laws that conjugate with the observed population was introduced and used. It is shown that for considered distribution laws, the parameters of the laws themselves are random variables and obey the typical law, gamma law, gamma - normal law, and Pareto law. Recalculation formulas are obtained to refine the parameters of these laws, taking into account posterior information. If we apply the recalculation formulas several times in a row, we will get some convergent process. Based on a converging process, it is possible to design a process for self-learning a system or self-tuning a system. The developed scientific approach was applied to solve the measuring problems for the testing measuring devices and technical systems. The results of constructing point estimates and constructing interval estimates for these laws' parameters are given. The results of comparison with the corresponding statistical estimates constructed by the classical maximum likelihood method are presented.

The current problem for managers in logistic and trading companies is the task of improving the operational business performance and developing the logistics support of sales. The development of logistics sales supposes development and implementation of a set of works for the development of the existing warehouse facilities, including both a detailed description of the work performed, and the timing of their implementation. Logistics engineering of warehouse complex includes such tasks as: determining the number and the types of technological zones, calculation of the required number of loading-unloading places, development of storage structures, development and pre-sales preparation zones, development of specifications of storage types, selection of loading-unloading equipment, detailed planning of warehouse logistics system, creation of architectural-planning decisions, selection of information-processing equipment, etc. The currently used ERP and WMS systems did not allow us to solve the full list of logistics engineering problems. In this regard, the development of specialized software products, taking into account the specifics of warehouse logistics, and subsequent integration of these software with ERP and WMS systems seems to be a current task. In this paper we suggest a system of statistical analysis of logistics information, designed to meet the challenges of logistics engineering and planning. The system is based on the methods of statistical data processing.The proposed specialized software is designed to improve the efficiency of the operating business and the development of logistics support of sales. The system is based on the methods of statistical data processing, the methods of assessment and prediction of logistics performance, the methods for the determination and calculation of the data required for registration, storage and processing of metal products, as well as the methods for planning the reconstruction and development of the existing warehouses. The results of approbation of software for the logistics of designing large warehouses of metal trading companies are given.

Logistics is an effective tool in business management. Metal trading business is a part of metal promotion chain from producer to consumer. It's designed to serve as a link connecting the interests of steel producers and end users. We should account for the specifics warehousing trading. The specificity of warehouse metal trading consists primarily in the fact that the purchase is made in large lots, and the sale - in medium and small parties. Loading and unloading of cars and trucks is produced by overhead cranes. Some part of the purchased goods are shipped in relatively large lots without presales preparation. Another part of the goods undergoes presale preparation. Indoor and outdoor warehouses are used with the address storage system. In the process of prolonged storage the metal rusts. Some part of the goods is subjected to final completion (cutting, welding, coloration) in service centers and small factories, usually located at the warehouse. The quantity of simultaneously shipped cars, and the quantity of the loader workers brigade can reach few dozens. So it is necessary to control the loading workers, to coordinate and monitor the performance of loading and unloading operations, to make the daily analysis of their work, to evaluate the warehouse operations as a whole. There is a need to manage and control movement of cars and trucks on the warehouse territory to reduce storage and transport costs and improve customer service. ERP-systems and WMS-systems, which are widely used, do not cover fully the functions and processes of the warehouse trading, and do not effectively manage all logistics processes. In this paper the specialized software is proposed. The software is intended for operational logistics management in warehouse metal products trading. The basic functions and processes of metal warehouse trading are described. The effectiveness indices for logistics processes and key effective indicators of warehouse trading are proposed. The developed software permit taking into account the described above specifics of metal products warehouse trading. The software can be easily integrated with ERP-systems and WMS-systems. The software contains the module of consolidation, which allows evaluating and comparing the quality of the logistics operations in a group of companies. The software was implemented and effectively used in a large metal trading company, which has few dozens of warehouses. Some results of mathematical simulation are presented.

A mathematical model of an active system is considered in the article. An active system represents an organizational model. The authors research into the problem of inconsistency between the concerns of the management authority and those of the managed subject. The managed subject acts for its benefit and supplies realistic information to the management authority. The main method of research into the above systems is based on the mathematical simulation of administrative decision making procedures. The theoretical grounds represent the systems analysis, the game theory, the decisionmaking theory, operations research, discrete mathematics and the management theory. The active system theory is based on a coordinated mechanism of choice. If the coordinated mechanism of choice is unavailable, the mechanism closest to the coordinated one must be developed. In this case, the authors believe it appropriate to consider additional criteria characterizing the "proximity" of a decision to coordinated and cumulative criteria, which are equal to the sum of additional criteria adjusted by particular coefficients of importance. A set of plans that cannot be coordinated at the same time is composed on the basis of the analysis of additional criteria and the cumulative criterion. Model testing and mathematical simulation are presented in the article.Описана математическая модель, лежащая в основе программного обеспечения, предназначенного для поддержки принятия решений в избирательных комиссиях, а также для анализа и контроля расходования денежных средств при проведении избирательных кампаний регионального уровня. Представлены результаты апробации модели.

Methods and algorithms of control of the tension of lifting and towing ropes of bucket-chain excavators are proposed in the article. They are based on the non-linear dependence of the current path length and intensity of excavation efforts. Three automatic control modes, including scooping, correction signals and automatic overload protection, are implemented. Two independent control loops in charge of tension of lifting and towing ropes are developed. The proposed automated control system may be integrated both into new bucket-chain excavators and into those excavators that are already in operation. The new system does not require any substantial alterations in electric drive control systems in charge of lifting and towing, if integrated into excavators in operation. The author has performed the non-linearity analysis; he has also designed, developed and implemented the models that are capable of taking an adequate account of the system peculiarities identified in the course of the project implementation. The system parameters are adjustable to specific conditions of the excavator operation, including the hardness of the rock extracted by the excavator, etc. The automatic overload control system attached to the electric drives in control of lifting and towing ensures maximal responsiveness of the system based on the commutation-related limitations imposed by power-driven elements, maximal over-control values and variability of the transition process. Prevention of any rope slacks in the course of scooping of any hard rock is assured by the loop of regulation of minimal tension of lifting cables. The service life of lifting and towing ropes goes up by eight to ten weeks, if the system proposed by the author is implemented.

The process of organization of civil engineering provides the delivery of construction materials, equipment to the civil engineering objects in the required quantities at the specified time. Effective tool for solving this problem is logistics. The basic components of logistics costs, which occupy the largest share in the sum of all logistics costs, are transportation costs and storage costs. The civil engineering industry is very promising for the use of outsourcing. The main part of works on providing material and technical resources in most cases is transferred to the outsourcing of other companies, including the group of companies forming the holding. In large holding companies the chain of movement of materials, goods and productions: purchase of materials and goods, completion materials, production structures, storage, movement, transportation, etc. may include several companies belonging in holding. The goods can be moved from one warehouse to another, with or without change of the owner of goods. Each company is obliged to show each movement of goods in their financial accounting. During the goods’ movement within a group of companies from one storage to another, from one owner to another, the total costs of the goods rise. Sales within a group of companies lead, as a rule, to a gain by one of the companies and the logistic expenses of another company. Selling to a consumer provides a profit to the seller company. Therefore, the problem of adequate allocation of logistics expenses and profits between separate legal entity and the task of continuous accounting and control of logistics costs and earnings in large companies, is vital. The automated system for accounting and controlling of logistics costs is suggested. The developed system allows controlling logistics costs of refining, storage and transportation for each ton, pieces, linear or square meters of the shipped cargoes. The System is based on complex algorithms of distribution of the total cost to costs of objects. Some results of approbation of the System in a large metal trading company are given. The System for the generation of financial and logistic reports on flow of materials, goods and production is suggested. The System provides the greatest efficiency in case of implementation in large holding companies.