Metasystem approach to increase the load factor FMS

The work is devoted to increasing the efficiency of using flexible manufacture systems (FMS) by increasing the load factor. Unlike the well-known multi-agent approach to production management, we are investigating the addition of a metasystem level allowing flexible combination of the decentralized control method with centralization. The metasystem approach allows to reduce management to flexible switching of functioning technologies on the basis of the replacement rule, while describing FMS as a metasystem consisting of classification of the system analyst J. Klir from structured data systems. Production events are simulated in virtual space with the help of a multi-agent approach. At the same time, the number of requests from the waiting queue is chosen such that it becomes possible to optimize the loading of the FMS in the simplest case by the full-scan method, if the queue is not available, then the initiative of choice is provided to communications of agents-technologies and agents-equipments. Experimental studies were carried out on the FMS model including six pieces of equipment divided into three groups with a stream of six applications, each of which has a technological route of six operations each‥ The experimental results showed the consistency of the developed approach by increasing the load factor of the FMS

Company Management Based on the Forecast in Product Area

The article discusses the forecasting method based on the research of the behaviour of the line of total production of the companies-competitors in the product area, first of all, what products and how much to produce. Therefore, if to monitor developments in multi-dimensional space, whose coordinates are the volumes of production and demand for all types of products from the range, now mastered, then this picture will reflect the major events taking place in the market and determine the location of the enterprise. Naturally, it is very convenient, on the basis of the multidimensional space, to predict the main trends and strategize the behaviour of the enterprise. The aim of this study is to search for the forecasting method in this multidimensional product area and its substantiation. Every company in this area can be represented by a multidimensional parallelepiped, whose diagonal in an integrated manner displays the capabilities of the enterprise for the production of the whole range. If in this area, we consistently combine the angles of parallelepipeds for all competitors, the corner of the last parallelepiped will indicate the total capacity of all competing companies for filling the market with products. Accordingly, the “missing” vector drawn to the point reflecting the market needs, determines a parallelepiped for the selected enterprise, for which the prognosis is being made. Changing the coordinate system with the transfer of its start point to the point showing the market allows to narrow the forecasting to the study of the point on the curve in the new area. The main characteristics of the proposed forecasting method is a visual geometric representation of the developed strategy of enterprise management. It considerably simplifies the forecasting process. The experimental research has confirmed the efficiency of this forecasting method and revealed the superiority of active management strategies

Multidimensional analysis of monitoring and diagnostic information on the technological process

The study divides the analysis of monitoring and diagnostic information, leaving for monitoring the parameters of the stationary process, and for diagnostics various transient regimes in the technological process. This, in turn, divides the algorithms of information processing into control of the output from the given boundaries for stationary parameters and the classification and prediction for dynamically changing parameters in a multidimensional space. In view of the large number of monitoring and diagnostic information, as well as due to different algorithms for processing it in an appropriate information system, it is necessary to apply multi-dimensional analysis methods. As diagnostic influences, various jumplike changes of a “natural character” are used, and the state of the equipment allows judging the apparatus of the influence functions. The abrupt changes in the technological process are reflected in the change in its parameters. The reaction to them is weakened as they are removed in accordance with the influence functions. The values of the parameters at the moment of the reaction define a point in the multidimensional parameter space and allow one to relate the state to one or another standard, and to relate the corresponding management algorithm to the standard. The experimental model includes five links simulating the operations of the technological process, a pulsed signal source simulating a step change and five links of propagation delay simulating the duration of operations. The results confirmed theoretical conclusions about the influence functions

Distribution of enterprise management resources based on parameters of a surge in demand for product

All social and economic processes are characterized by the presence of a large number of low frequencies in the spectrum of the parameters describing them. In this case, it becomes possible to consider individual surges of a random process, which will be characterized by phase, average value and duration. According to these indicators, it is possible to prepare the enterprise for the production of precisely those products for which there is a surge in demand in the near future. It is accepted that the probability of a surge in demand for this type of product after a given time is a Markov nature and is described by the Kolmogorov equation. The overall probability of technology readiness can be defined as the product of the partial readiness probabilities in phase, duration and average amplitude, considering them to be independent events. The unavailability of technology decreases after each dosed management exposure. As a result, a methodology has been developed for the optimal distribution of control resources, which makes it possible to increase the availability of technology by more than a third compared to their equal distribution

Multidimensional analysis of monitoring and diagnostic information on the technological process

The study divides the analysis of monitoring and diagnostic information, leaving for monitoring the parameters of the stationary process, and for diagnostics various transient regimes in the technological process. This, in turn, divides the algorithms of information processing into control of the output from the given boundaries for stationary parameters and the classification and prediction for dynamically changing parameters in a multidimensional space. In view of the large number of monitoring and diagnostic information, as well as due to different algorithms for processing it in an appropriate information system, it is necessary to apply multi-dimensional analysis methods. As diagnostic influences, various jumplike changes of a “natural character” are used, and the state of the equipment allows judging the apparatus of the influence functions. The abrupt changes in the technological process are reflected in the change in its parameters. The reaction to them is weakened as they are removed in accordance with the influence functions. The values of the parameters at the moment of the reaction define a point in the multidimensional parameter space and allow one to relate the state to one or another standard, and to relate the corresponding management algorithm to the standard. The experimental model includes five links simulating the operations of the technological process, a pulsed signal source simulating a step change and five links of propagation delay simulating the duration of operations. The results confirmed theoretical conclusions about the influence functions

The regional machine-building complex: structural-industrial transformation in modern economic realities

The work is devoted to the analysis of the development of machine-building complex in the Orenburg region. The main problems of regional engineering are associated with a constant investment deficit and the scarcity of financing programs aimed at modernization and innovative technical and technological updating of the engineering complex. The potential of small enterprises in high-tech industries is very high. These industries require the use of highly skilled labor, including researchers and scientists, which is very important for the preservation and development of the intellectual capital of the region. Small business in mechanical engineering is able to make a powerful leap forward in improving the business sector as a whole. A significant problem of regional engineering is the marked predominance of industrial engineering products and the extremely weak availability of engineering products for the population. In order to correct this imbalance, it is necessary to place engineering industries in small and medium-sized cities: Buzuluk, Buguruslan, Sorochinsk, Kuvandyk, Sol-Iletsk, Abdulino, which have a favorable transport position and favorable conditions for specialization and cooperation. In these centers at small enterprises, it is possible to organize the production of consumer engineering products, as well as components based on cooperation with larger engineering enterprises

Company management based on the forecast in product area

The article discusses the forecasting method based on the research of the behaviour of the line of total production of the companies-competitors in the product area, first of all, what products and how much to produce. Therefore, if to monitor developments in multi-dimensional space, whose coordinates are the volumes of production and demand for all types of products from the range, now mastered, then this picture will reflect the major events taking place in the market and determine the location of the enterprise. Naturally, it is very convenient, on the basis of the multidimensional space, to predict the main trends and strategize the behaviour of the enterprise. The aim of this study is to search for the forecasting method in this multidimensional product area and its substantiation. Every company in this area can be represented by a multidimensional parallelepiped, whose diagonal in an integrated manner displays the capabilities of the enterprise for the production of the whole range. If in this area, we consistently combine the angles of parallelepipeds for all competitors, the corner of the last parallelepiped will indicate the total capacity of all competing companies for filling the market with products. Accordingly, the "missing" vector drawn to the point reflecting the market needs, determines a parallelepiped for the selected enterprise, for which the prognosis is being made. Changing the coordinate system with the transfer of its start point to the point showing the market allows to narrow the forecasting to the study of the point on the curve in the new area. The main characteristics of the proposed forecasting method is a visual geometric representation of the developed strategy of enterprise management. It considerably simplifies the forecasting process. The experimental research has confirmed the efficiency of this forecasting method and revealed the superiority of active management strategies.Предложен метод прогнозирования, основанный на исследовании поведения линии суммарного производства предприятий-конкурентов в ассортиментном пространстве, в первую очередь, того, какую продукцию и в каких объемах производить. Рассмотрены прогностические и системно-аналитические возможности агент-ориентированного моделирования процесса управления предприятием в многомерном ассортиментном пространстве