scholarly journals Модели и интеллектуальные инструментальные средства адаптивного планирования экономического роста производственных систем

2020 ◽  
Author(s):  
T.G. Aygumov ◽  
V.B. Melekhin
Keyword(s):  
Production System ◽  
Production Systems ◽  
Control Object ◽  
Adaptive Planning ◽  
Missed Opportunities ◽  
Intelligent Decision Making ◽  
Intelligent Decision ◽  
Unstable Environment ◽  
Current Production ◽  
Large Production

Рассмотрены основные проблемы, связанные с планированием развития сложных производственных систем в нестабильных условиях современной инвестиционной экономической среды. Предложены два принципа построения адаптивных планов производственной деятельности и развития крупных производственных систем, основанные на применении математического аппарата нечетких множеств для обобщения знаний в интеллектуальных системах принятия решений. Первый принцип планирования сводится к построению пассивного адаптивного плана развития, структура которого остается неизменной на протяжении всего отчетного периода работы производственной системы. Реализация такого плана сводится к достижению одного из запланированных результатов в соответствии с изменениями, происходящими в окружающей среде объекта управления. Недостатком такого планирования является проявление упущенных возможностей в тех случаях, когда производственная система могла бы повлиять своими силами на текущую производственную ситуацию и пойти по более эффективному пути развития. Второй принцип базируется на выборе наиболее эффективного плана функционирования и развития производственной системы, реализация которого осуществляется путем ее активного влияния на происходящие в окружающей среде изменения. Показано, что сочетание обоих принципов адаптивного планирования позволяет производственной системе эффективно функционировать и развиваться в нестабильной окружающей среде при наличии спонтанно происходящих в ней изменений.The main problems associated with planning the development of complex production systems in unstable conditions of the modern investment economic environment are considered. Two principles of constructing adaptive plans for production activities and the development of large production systems based on the use of the mathematical apparatus of fuzzy sets to generalize knowledge in intelligent decision-making systems are proposed. The first planning principle comes down to building a passive adaptive development plan, the structure of which remains unchanged throughout the reporting period of the production system. The implementation of such a plan is reduced to the achievement of one of the planned results in accordance with changes in the environment of the control object. The disadvantage of such planning is the manifestation of missed opportunities in those cases when the production system could influence on its own the current production situation and take a more efficient development path. The second principle is based on the selection of the most effective plan for the functioning and development of the production system, the implementation of which is carried out by its active influence on changes in the environment. It is shown that a combination of both principles of adaptive planning allows the production system to function and develop efficiently in an unstable environment in the presence of changes occurring spontaneously in it.

scholarly journals Synthesis of Adaptive Systems in an Unstable Environment

2020 ◽  
Vol 11 (2) ◽  
pp. 162-178
Author(s):  
A. A. Nikonova
Keyword(s):  
Economic System ◽  
Production System ◽  
Adaptive Systems ◽  
Production Systems ◽  
Innovation System ◽  
Russian Economy ◽  
Economic Paradigm ◽  
Unstable Environment ◽  
Micro Level ◽  
Adaptive Ability

Purpose: the article is devoted to the ways to create adaptive production systems, taking into account the experience of the economies that have successfully emerged from the terminal crisis. One of the tasks is to improve the adaptability of the production system or, at the best, of the socio-economic system as a whole, in a now situation of uncertainty and unpredictable social, technological, structural, economic dynamics.Methods: an approach is based on the provisions of systemic economic theory, specifically on the representation of the socio-economic system in the form of a tetrad, comprising several key subsystems (sectors) that exchange resources (powers) that they possess.Results: noticeable contemporary conditions and the characteristics of the global socio-economic system are identified as a terminal crisis, which is determined by the depth and breadth to cover the regions, countries, industries with serious changes of a new quality in the functioning of economic objects at the different hierarchy levels. Such a crisis, in contrast to a structural crisis, affects all social groups, spheres of subject affairs and actors relations. The paper argues the quite relevant issue of how to make a systemic transition to a new model and paradigm of the economy. With this purpose, we have identified three groups of factors on which a model of the economy in a post-pandemic world can be based at least. Theoretical grounds and practical conclusions are given in order to carry out system assembly (synthesis) of a production system based on the model of the tetrad.Conclusions and Relevance: it is shown that the synthesis of all types of systems – socio-economic, industrial, innovation system – should be carried out on the basis on systemic economic paradigm, taking into account both the new current phenomena and peculiarities on the different economic levels. According to the author conclusion, some of the principles, proposed to organize and manage the corporate systems by Deming, can be used to increase adaptive ability of the production systems at least at the micro level of the Russian economy, which will inevitably be being transformed in a post-pandemic world.

Machine Tool Service for Mass-Production Machining Systems

2018 ◽  
Vol 12 (4) ◽  
pp. 507-513
Author(s):  
Makoto Fujishima ◽  
◽  
Takashi Hoshi ◽  
Hiroki Nakahira ◽  
Masafumi Takahashi ◽  
...  
Keyword(s):  
Machine Tool ◽  
Production System ◽  
Mass Production ◽  
Machine Tools ◽  
Production Systems ◽  
Production Volume ◽  
Machining Processes ◽  
In Series ◽  
Tool Service ◽  
Large Production

Mass-production machining systems that are comprised of machine tools are often configured in series by dividing the machining processes in order to manage the large production volume. This indicates that if one of the machines stops owing to a mechanical malfunction, the entire production line needs to be stopped. Thus, machine tools in mass-production systems are required to be highly reliable and easy to maintain. Predictive maintenance, which enables operators to detect any signs of failure in the machine tool components, needs to be performed for the machines as well. In this work, various approaches for the improvement of the maintainability of machine tools used in a mass-production system are reported.

THE METHOD FOR VISUALIZING SEMISTRUCTURED INFORMATION OF LARGE PRODUCTION SYSTEMS

2020 ◽  
pp. 25-34
Author(s):  
Yu. V. Polishuk
Keyword(s):  
Graphical Representation ◽  
Production Systems ◽  
Control Object ◽  
Decision Makers ◽  
Structural Elements ◽  
Management Decisions ◽  
Scalable Vector Graphics ◽  
Raster Graphics ◽  
Large Production ◽  
Factual Data

The process of operating large production systems is associated with the need to generate management decisions based on the analysis of the state of the system, represented by semistructured information. By semistructured information, within the framework of this work, we mean information in which a certain structure can be distinguished, however, this structure in advance is completely or partially unknown, or may change over time. The factographic data necessary for the generating of management decisions are represented by semistructured information located in various information resources such as electronic documents, databases, SCADA systems, etc. Thus, for the visualization of factual data in the processes of organizing the management of large production systems, the urgent tasks are: the implementation of incoming control for an array of factual data, their structuredness, implemented by means of a model, the possibility of their transformation, including convolution and aggregation, as well as various visualizations the same data on the according to requirements of a group of decision-makers. All of the above can be successfully implemented through the use of XML technologies, and SVG, which is a scalable vector graphics markup language, is suitable as a format for the resulting visualization. This format is intended for description of two-dimensional vector and mixed vector-raster graphics in XML format. A detailed description of the process of visualization of semistructured content, including four main stages, is considered, and a practical example of automated visualization of semistructured information of structural schemes of an APCS for a gas condensate field is given. As part of the work, the effectiveness of the proposed method for visualizing semistructured information was evaluated, which confirmed its effectiveness in the conditions of large production systems, when the number of uniform visualized structural elements can reach tens or more. The method of visualizing the semistructured content of large production systems makes it possible to automatically obtain its visual representation, which makes it possible to analyze expert information in the form of its graphical representation. The latter makes it possible to increase the speed of perception of factual data by 40…45 % and to minimize the time for updating the visualization when the factual data at the control object changes.

Evolvable Production Systems

2011 ◽  
pp. 821-835
Author(s):  
Marcus Bjelkemyr ◽  
Antonio Maffei ◽  
Mauro Onori
Keyword(s):  
Production System ◽  
Production Systems ◽  
Emergent Behavior ◽  
Next Generation ◽  
Agent Based ◽  
System Environment ◽  
Industrial Sustainability ◽  
Current Production ◽  
Road Mapping ◽  
System Paradigm

The rationale for EPS is based on current road mapping efforts, which have clearly underlined that true industrial sustainability requires far higher levels of system autonomy and adaptivity than what can be achieved within current production system paradigms. Since its inception in 2002 as a next generation of production systems, the EPS concept has been further developed and tested to emerge as a production system paradigm with technological solutions and mechanisms that support sustainability. Technically, EPS is based on the idea of using several re-configurable, process-oriented, agent-based and wireless intelligent modules of low granularity. This allows for a continuous adaption and evolution of the production system and the ability to explore emergent behavior of the system, which are imperative to remain fit with regards to the system environment.

An Integrated Legacy of Modbus Devices to Industrial Internet of Things: Approach for Smart Industries

2020 ◽  
Author(s):  
Karthik Muthineni
Keyword(s):  
Internet Of Things ◽  
Industrial Revolution ◽  
Digital Technologies ◽  
Industrial Internet Of Things ◽  
Intelligent Decision Making ◽  
Internet Of Everything ◽  
Industrial Internet ◽  
Intelligent Decision ◽  
Network Platform ◽  
Smart Factories

The new industrial revolution Industry 4.0, connecting manufacturing process with digital technologies that can communicate, analyze, and use information for intelligent decision making includes Industrial Internet of Things (IIoT) to help manufactures and consumers for efficient controlling and monitoring. This work presents the design and implementation of an IIoT ecosystem for smart factories. The design is based on Siemens Simatic IoT2040, an intelligent industrial gateway that is connected to modbus sensors publishing data onto Network Platform for Internet of Everything (NETPIE). The design demonstrates the capabilities of Simatic IoT2040 by taking Python, Node-Red, and Mosca into account that works simultaneously on the device.

scholarly journals Soil Bacterial Community Diversity and Composition as Affected by Tillage Intensity Treatments in Corn-Soybean Production Systems

2021 ◽  
Vol 12 (1) ◽  
pp. 157-172
Author(s):  
Shankar G. Shanmugam ◽  
Normie W. Buehring ◽  
Jon D. Prevost ◽  
William L. Kingery
Keyword(s):  
Microbial Community ◽  
Bacterial Community ◽  
Community Composition ◽  
Production System ◽  
Soil Microbial Community ◽  
Production Systems ◽  
Bacterial Community Composition ◽  
Soybean Production ◽  
Soil Microbial ◽  
Soil Bacterial

Our understanding on the effects of tillage intensity on the soil microbial community structure and composition in crop production systems are limited. This study evaluated the soil microbial community composition and diversity under different tillage management systems in an effort to identify management practices that effectively support sustainable agriculture. We report results from a three-year study to determine the effects on changes in soil microbial diversity and composition from four tillage intensity treatments and two residue management treatments in a corn-soybean production system using Illumina high-throughput sequencing of 16S rRNA genes. Soil samples were collected from tillage treatments at locations in the Southern Coastal Plain (Verona, Mississippi, USA) and Southern Mississippi River Alluvium (Stoneville, Mississippi, USA) for soil analysis and bacterial community characterization. Our results indicated that different tillage intensity treatments differentially changed the relative abundances of bacterial phyla. The Mantel test of correlations indicated that differences among bacterial community composition were significantly influenced by tillage regime (rM = 0.39, p ≤ 0.0001). Simpson’s reciprocal diversity index indicated greater bacterial diversity with reduction in tillage intensity for each year and study location. For both study sites, differences in tillage intensity had significant influence on the abundance of Proteobacteria. The shift in the soil bacterial community composition under different tillage systems was strongly correlated to changes in labile carbon pool in the system and how it affected the microbial metabolism. This study indicates that soil management through tillage intensity regime had a profound influence on diversity and composition of soil bacterial communities in a corn-soybean production system.

A New Procedure of Production Orders Sequencing in Mixed-Model Production Systems

2014 ◽  
Vol 1036 ◽  
pp. 864-868 ◽  
Author(s):  
Marcin Zemczak ◽  
Damian Krenczyk
Keyword(s):  
Task Scheduling ◽  
Production System ◽  
Mixed Model ◽  
Production Systems ◽  
Production Capacity ◽  
Approximate Solutions ◽  
Task Sequence ◽  
Optimal Method ◽  
Sequencing Problem ◽  
Car Sequencing

The paper presents the task scheduling issue, which main aim is to establish a proper sequence of tasks, that would maximize the utilization of companys production capacity. According to the literature sources, the presented sequencing problem, denoted as CSP (Car Sequencing Problem) belongs to the NP-hard class, as has been proven by simple reduction from Hamiltonians Path problem. Optimal method of solution has not yet been found, only approximate solutions have been offered, especially from the range of evolutionary algorithms. Regardless of specific production system, while considering reception of new tasks into the system, current review of the state of the system is required in order to decide whether and when a new order can be accepted for execution. In this paper, the problem of task scheduling is limited to the specific existing mixed-model production system. The main goal is to determine the effective method of creation of task sequence. Through the use of computational algorithms, and automatic analysis of the resulting sequence, rates of production are able to be checked in a real time, and so improvements can be proposed and implemented.

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