Abstract
The paper presents the results of researches of intelligent mechanisms of the organizational system functioning and their developments to establish adaptive control system for plant manufacturing. Both a theoretical approach and practice of railway freight wagons plants are considered to create a control manufacturing system which is adaptive to changes of market conditions. The system of decision making support includes intelligent mechanisms of the plant manufacturing system functioning based on intelligent information systems as well as on learning, self-organizing expert mechanisms.
Highlights
System science researches of organizational control include analysis and consideration of a human factor effect which should be understood as an activity of people or collectives [1,2,3,4]
To avoid information distortion passed by these elements to the centre of the system, it is necessary to consider the problem of information system design within a total problem of synthesis of such procedures as planning, regulation and stimulation accepted in the control mechanism
The very possibility for a complex organization control in dynamics with no complete information is based on intelligent information systems (IIS) [3]
Summary
System science researches of organizational control include analysis and consideration of a human factor effect which should be understood as an activity of people or collectives (elements of a control system) [1,2,3,4]. Intelligent functioning mechanisms (IFM) include both SFM planning, regulating and stimulating procedures and IIS to identify the internal structure of active elements and their parameters, as well as to utilize internal elements’ resources in accordance with the central goal. «Operative centre», i.e. Federal cargo company, possesses of the following functions: adaptive forecasting on the basis of learning (estimation), regulating of resources (resource), planning of tasks for repair (plan) and stimulating of «executor» (stimulus). The rigid regulation mechanism provides equality of the output and plan at any capacity of the repair depot. A simple AMO WRD model applying just planning and stimulation procedures is used for a quantitative estimation of the repair depot output (Figure 2). On the basis of the current norm and output, an adaptive norm for the following period is defined (planning procedure).
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