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Complexity metrics for mixed model manufacturing systems based on information entropy

Author

Listed:
  • Andres G. Abad
  • Jionghua Jin

Abstract

Mixed model manufacturing systems are increasingly used to meet global competition by providing a broad variety of products to customers. The increase of product variety adds more complexity to production processes, thus, leading to a negative effect on the performance of production processes. Therefore, it is of great interest to effectively measure such complexity and to quantify its effect on manufacturing system performance. In this paper, a set of complexity metrics are proposed for measuring the complexity of different elements in a manufacturing system. These metrics were defined by constructing a linkage with the communication system's framework. Different from those existing complexity measures defined in the literature, this paper considers production quality into the measure of the process capability on handling the complexity induced by the input demand variety. Examples are given in the paper to discuss different properties of the defined metrics and their potential applications.

Suggested Citation

  • Andres G. Abad & Jionghua Jin, 2011. "Complexity metrics for mixed model manufacturing systems based on information entropy," International Journal of Information and Decision Sciences, Inderscience Enterprises Ltd, vol. 3(4), pages 313-334.
    • Handle: RePEc:ids:ijidsc:v:3:y:2011:i:4:p:313-334
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