Extending the information-theoretic measures of the dynamic complexity of manufacturing systems

Smart, Janet, Calinescu, Ani and Huaccho Huatuco, Luisa (2013) Extending the information-theoretic measures of the dynamic complexity of manufacturing systems. International Journal of Production Research, 51 (2). pp. 362-379.

Abstract

This paper revisits and extends the structural and dynamic complexity measures of manufacturing systems, which are based on an information-theoretic interpretation of the amount of information that is needed to describe the state of a manufacturing system. In this paper, a generic manufacturing system is modelled as a set of interacting resources and queues. At any moment in time, the combined specific states of the resources and queues define the overall state of the manufacturing system. The main contribution of this paper is a set of dynamic complexity measures that quantify the rate at which information is generated by the facility, and which may be applied with or without reference to the facility's schedule. A worked example demonstrates the step-by-step calculations to obtain values of the complexity measures, and guidance is provided on how to obtain the data needed to carry out the calculations. The links between these complexity measures and the behaviour of a facility are identified and described.

Item Type: Article
Keywords: Manufacturing systems; job shops; manufacturing cells; cell-based layouts; complexity; information theory
Subject(s): Complexity
Operations management
Project management
Centre: CABDyN Complexity Centre
Date Deposited: 23 Feb 2012 11:35
Last Modified: 14 Jul 2017 11:03
Funders: Not applicable
URI: http://eureka.sbs.ox.ac.uk/id/eprint/2981

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