Presenter/Author Information

D. N. Svirsky

Keywords

collective decision, decision support systems, tensor modelling, compact manufacturing system

Start Date

1-7-2002 12:00 AM

Description

This paper addresses the organisation and management of compact (i.e. unsuperfluous resources) systems. The definition of compact manufacturing system (CMS) as well as the basic principles and general algorithms of its design are given. It is shown that the difficult task of designing of a system is effectively solved by a "collective intelligence" system using concurrent engineering. The author offers to use the tensor analogy for collective intelligence system development. Thus, production (its mathematical model) is a semantic invariant of a manufacturing sector of its life cycle. The production information description is mapped into the systems of co-ordinates appropriate to the semantic (professional) spaces of the concurrent engineering process participants such as: marketologists, economists, designers, technologists, system designers, operators, sellers etc. Hence, the invariant of a set of the consumers’ requirements will be iteratively transformed into consistent constructive, technological and technical (industrial) invariants of production. The offered tensor model of design interaction underlies a tensor database for collective intelligent system computer support. In this paper the practical experience of applying a collective intelligence system to the design of compact industrial systems to manufacture machine building and light industry products is discussed. In particular the compact industrial system on the laser-machining base is examined.

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Jul 1st, 12:00 AM

Modelling of the Collective Decision Making Process for Compact Manufacture Organisation

This paper addresses the organisation and management of compact (i.e. unsuperfluous resources) systems. The definition of compact manufacturing system (CMS) as well as the basic principles and general algorithms of its design are given. It is shown that the difficult task of designing of a system is effectively solved by a "collective intelligence" system using concurrent engineering. The author offers to use the tensor analogy for collective intelligence system development. Thus, production (its mathematical model) is a semantic invariant of a manufacturing sector of its life cycle. The production information description is mapped into the systems of co-ordinates appropriate to the semantic (professional) spaces of the concurrent engineering process participants such as: marketologists, economists, designers, technologists, system designers, operators, sellers etc. Hence, the invariant of a set of the consumers’ requirements will be iteratively transformed into consistent constructive, technological and technical (industrial) invariants of production. The offered tensor model of design interaction underlies a tensor database for collective intelligent system computer support. In this paper the practical experience of applying a collective intelligence system to the design of compact industrial systems to manufacture machine building and light industry products is discussed. In particular the compact industrial system on the laser-machining base is examined.