posted on 2012-12-18, 14:55authored byPetter Kyosti, Sean Reed, Magnus Lofstrand, J.D. Andrews, Lennart Karlsson, Sarah DunnettSarah Dunnett
Functional Products, consisting of hardware and service support systems
owned by the supplier, are sold to customers with a guaranteed availability of
the function. The availability achieved is dependent on the reliability of both
hardware and the service support system. The reliability of the latter can be
defined as its ability to provide the required maintenance services in a timely
manner. This paper reports simulation of a service support system from an
industrial case study in order to predict its reliability. To identify and develop a
suitable case together with an industrial partner company, a number of phone
meetings were held in order to explain the research question, interview
knowledgeable people and plan on-site visits and interviews. A number of
interviews face to face were carried out with the industrial partners, where the
goal was to obtain enough information to be able to model the support system
correctly. The research involved both qualitative information gathering and
applied computer aided simulation. An improved model for simulating a
service support system is developed that considers the context in which the
maintenance procedures are performed within a Functional Product. A
software implementation of the model, developed by the authors, is applied to
simulate the case study service support system in various scenarios such as
different personnel availability and number of systems supported. The results
show how the modeling can be used to improve and predict the reliability of
the service support system.
History
School
Aeronautical, Automotive, Chemical and Materials Engineering
Department
Aeronautical and Automotive Engineering
Citation
KYOSTI, P., REED, S., LOFSTRAND, M. ... et al, 2011. Simulation of industrial support systems in the context of functional products. IN: Prescott, D.R. and Remenyte-Prescott, R. (ed.). Proceedings of the 19th AR2TS, Advances in Risk and Reliability Technology Symposium, 12-14 April 2011, Stratford-upon-Avon, UK, pp.275-288.