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A dynamic model for hardware/software obsolescence

Kouroush Jenab (Society of Reliability Engineering-Ottawa Chapter, Ottawa, Canada)
Kourosh Noori (Society of Reliability Engineering-Ottawa Chapter, Ottawa, Canada)
Philip D. Weinsier (Department of Electrical/Electronic Engineering Technology, Bowling Green State University Firelands, Huron, Ohio, USA)
Sam Khoury (College of Business, Athens State University, Athens, Alabama, USA)

International Journal of Quality & Reliability Management

ISSN: 0265-671X

Article publication date: 29 April 2014

916

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

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Emerald Group Publishing Limited

Copyright © 2014, Emerald Group Publishing Limited

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