Industrial evaluation of FBS Linkage – a method to support engineering change management

Abstract

Engineering changes (ECs) are raised throughout the product life cycle and their management can determine the commercial success of products. A well-established method to support engineering change management (ECM) is the change prediction method (CPM). The function–behaviour–structure (FBS) linkage method enhances CPM with an FBS scheme and allows more detailed modelling and analysis of ECs. The goal of this paper is to provide an industrial evaluation of the FBS Linkage method. For that purpose, we provide first an overview of the FBS Linkage method, before applying it to a diesel engine design and evaluating it by a group of 10 experienced engineers from the diesel engine manufacturer. Overall, the engineers favoured the FBS Linkage method and ranked it on average 3.7 out of 5.0 against a set of 25 different requirements for ECM methods. The evaluation underlines the benefits of the method in terms of a systematic way for capturing, explaining and transferring knowledge about the product and effects of ECs on it. Identified improvement areas include more guidelines on the scope of the method, reduction of the effort required to build FBS Linkage models, and an integration of the method into other applied systems.

Keywords:

• engineering change management
• functional reasoning
• change propagation
• functional modelling

Acknowledgements

The authors would like to thank Dr. Nicholas H.M. Caldwell, Tom W. Ridgman, Athanasios Dimopoulos and Perkins Engine Co. Ltd. for enabling the diesel engine case study and especially the dedicated Perkins engineers for evaluating the method and providing valuable industry feedback.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This research was funded by a UK Engineering and Physical Sciences Research Council Doctoral Prize, awarded to the first author.