Wyniki wyszukiwania - BazTech

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Basics of the management system for transformations of production planning and control processes

Łopatowska J.

Research in Logistics & Production

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2018

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Vol. 8, No. 4

317--328

EN

Intensive development of technologies, in particular of the spinotronics, nanotechnology, robotics, and ICT, shapes the new generation production systems. Their distinctive feature is the flexibility associated with production intelligence. It is required from all processes, including the production planning and control processes (PPCP). The article is of conceptual character. It was prepared based on literature research. It encompasses issues related to Next Generation Manufacturing Systems, including Intelligent Manufacturing Systems in particular, covering solutions for PPCP. The article was also built upon the results of research on the level of automation of Polish manufacturing enterprises. The research results in the development of general assumptions of an informatic management system for the transformation of PPCP for technologically advanced and organizational production systems. The system has a modular structure resulting from its functions, which include identifying the need for transformation, its goals and vision, planning, design, implementation and evaluation of transformation. It takes the technical, organizational, socio-psychological and economic aspects of transformation into account. Choosing the right solutions for PPCP purposes allows for flexible adaptation to the requirements and needs of the environment. Its essential part is the knowledge database, thanks to which it is possible to shape the system’s intelligence.

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Distributed Manufacturing Control: Models and Software Implementations

Zając J., Słota A., Chwajol G.

Management and Production Engineering Review

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2010

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Vol. 1, No. 1

40-58

EN

This paper describes two approaches to distributed control of discrete event manufacturing systems that have been developed at Cracow University of Technology. The first one applies Object Observable Petri Nets for modelling and analysis of manufacturing systems while the second one uses UML for system modelling and intelligent agents for design and implementation of control system. Software for distributed simulation and control have been developed for both concepts. This software have been tested in simulation environment and in laboratory test beds located in the Production Engineering Institute.

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Intelligence in manufacturing systems: the pattern recognition perspective

Zaremba M. B.

Control and Cybernetics

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2010

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Vol. 39, no 1

233-258

EN

The field of Intelligent Manufacturing Systems (IMS) has been generally equated with the use of Artificial Intelligence and Computational Intelligence methods and techniques in the design and operation of manufacturing systems. Those methods and techniques are now applied in many different technological domains to deal with such pervasive problems as data imprecision and nonlinear system behavior. The focus in IMS is now shifting to a broader understanding of the intelligent behavior of manufacturing systems. The questions debated by researchers today relate more to what kind and what level of adaptability to instill in the structure and operation of a manufacturing system, with the discussions increasingly gravitating to the issue of system self-organization. This paper explores the changing face of IMS from the perspective of the pattern recognition domain. It presents design criteria for techniques that will allow us to implement manufacturing systems exhibiting adaptive and intelligent behaviour. Examples are given to show how incorporating pattern recognition capabilities can help us build more intelligence and self-organization into the manufacturing systems of the future.