A Study of Self-Organization in a Production Environment
Modern cellular manufacturing systems involve distributed environments of robots, machines, materials etc. The principal feature of such a system is that incomplete or imperfect information is given about the input flows and the interactions between parts of the system, so that it has to be adaptive to variations in input and environmental conditions. An additional wish for a cellular manufacturing organization is to be as easily reconfigurable as possible, i.e. as easy to adjust to different environments of the same type as possible [1,2,3,4,5]. For all those purposes, the system has to self-organize in order to respond to the inputs while meeting the operational constraints involved. Self-organization in a distributed environment is achieved through the use of fairly simple local, adaptive behavioral rules that have to be chosen so as to optimize if possible the overall system’s operationality, as defined by a set of objectives and/or constraints [6,7,8].
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