A dynamic model for hardware/software obsolescence
International Journal of Quality & Reliability Management
ISSN: 0265-671X
Article publication date: 29 April 2014
Abstract
Purpose
Since technological lifecycles do not always match hardware/software (HW/SW) lifecycles, obsolescence becomes a major issue in system lifecycle management as it can cause premature and unscheduled replacement of HW/SW subsystems. The purpose of this paper is to report a dynamic model to predict the obsolescence dates for HW/SW subsystems.
Design/methodology/approach
The dynamic model estimates obsolescence dates for HW/SW subsystems based on graph theory concept. The model depicts the stages of subsystem obsolescence through transmittances composed of probability and time-distribution elements. The model predicts probability and mean time to obsolescence for line replaceable units (LRUs) over the lifetime of the system. An illustrative example in signaling systems used in a train control system was used to demonstrate the application of this model.
Findings
Generally, the short timespan for HW/SW subsystems, which are periodically replaced with newer technologies, results in the development of new product lines by suppliers while they try to support legacy systems for a reasonable period of time. Obsolescence of HW/SW subsystems increases operation and maintenance costs as legacy systems are typically more expensive to maintain. The costs can be reduced by an optimum time to obsolescence derived from the model.
Practical implications
This research adds to the body of knowledge on asset management and maintenance strategy. This paper may be of particular interest to reliability, maintainability and availability practitioners and project managers.
Originality/value
The originality of this paper lies in developing a graph-based model that predicts probability and mean time to obsolescence for LRUs over the lifetime of the system.
Keywords
Citation
Jenab, K., Noori, K., D. Weinsier, P. and Khoury, S. (2014), "A dynamic model for hardware/software obsolescence", International Journal of Quality & Reliability Management, Vol. 31 No. 5, pp. 588-600. https://doi.org/10.1108/IJQRM-03-2013-0054
Publisher
:Emerald Group Publishing Limited
Copyright © 2014, Emerald Group Publishing Limited