Applying and assessing two methods for measuring complexity in manufacturing

Previous work in manufacturing has identified complexity as a relevant topic in this field. However, there is a high diversity of opinions on what complexity is, why it should be measured and how this can be done. This paper aims to contribute to a better understanding of manufacturing complexity and of the relationship between the system's complexity and its performance. Firstly, we identify the various aspects of manufacturing complexity highlighted in the literature. Secondly, we describe two complementary methods for measuring complexity, and the adaptation and application of these methods in a case study. The issues involved in applying the methods and the insights gained are also discussed. The main criteria considered in assessing the two methods are: methodology, costs, feasibility, type of information required, and the type of results they provide. We conclude by outlining the requirements that a complexity assessment method must meet in order to address all the complexity issues identified.