Title :
Towards a Human Reliability Analysis in process modelling: An empirical investigation
Author :
Nielen, Alexander ; Költer, Denise ; Mütze-Niewöhner, Susanne ; Karla, Jürgen ; Schlick, Christopher M.
Author_Institution :
Inst. of Ind. Eng. & Ergonomics, RWTH Aachen Univ., Aachen, Germany
Abstract :
Process models are an integrative part of Business Process Management and their benefit is well-accepted in corporate practice. Besides syntactical and semantical errors, the occurrence of inconsistencies between a process model and the real-world process is a common phenomenon in corporate practice. In this contribution, the concept of Human Error is applied to process modelling and marks the starting point for a Human Reliability Analysis. The error classification that has been used accounts for generic error types of omission and execution, complemented with a defined scope of error types for the application context process modelling. The results derived from data of 19 participants indicate that the modelling of concurrent and iterative flows is prone to errors of omission and erroneous execution. Possible inconsistencies between the process model and the real-world process might leave efficiency potential uncovered, especially with regard to concurrent engineering activities.
Keywords :
concurrent engineering; corporate modelling; formal specification; formal verification; human factors; organisational aspects; reliability; application context process modelling; business process management; concurrent engineering activity; concurrent flow; corporate practice; erroneous execution; error classification; error type; human error; human reliability analysis; iterative flow; omission; Analytical models; Computational modeling; Humans; Ice; Reliability; Routing; Unified modeling language; Process modelling; cognitive engineering; human error; human reliability analysis; validation;
Conference_Titel :
Concurrent Enterprising (ICE), 2011 17th International Conference on
Conference_Location :
Aachen
Print_ISBN :
978-1-4577-0772-8
Electronic_ISBN :
978-3-943024-05-0