Reliability, Maintainability, and Supportability play a crucial role in
achieving a competitive product. While manufacturing costs are important
for the success of a product, they are not the sole domains in realizing
its competitive edge. Improved manufacturing and operating quality and
performance coupled with reduced acquisition cost and in-service cost of
ownership are important in achieving business success. It is the early
phase of design which offers the greatest opportunity to address these
requirements, and thus create life cycle effectiveness.
The main objective of Reliability, Maintenance and Logistic Support -
A Life Cycle Approach is to provide an integrated approach to
reliability, maintainability, maintenance and logistic support analysis.
We not only look at the ways we can improve the design process to ensure
the product offers value for money, but we also consider how the owners
can get the most from these products once they have entered service. The
approach provides a meaningful way of integrating reliability,
maintenance and supportability to enhance the product performance and
sales opportunities.
Hence, the book covers the following objectives:
(1) Introduce the concepts of reliability, maintainability and
supportability and their role in the system life cycle and
effectiveness. (2) Introduce the basic probability and statistical
techniques that are essential for modelling reliability, maintainability
and supportability problems. (3) Introduce reliability measures: how to
predict them; how to determine from in-service real-world data; how to
use them. (4) Analysis of advanced models in Reliability. (5) Discuss
basic and advanced concepts in both maintainability and maintenance
including preventive, corrective and condition based maintenance. (6)
Discuss maintenance management and optimization concepts, such as
reliability-centered maintenance and age-related maintenance. (7)
Provide basic concepts in supportability and Integrated logistic
support. (8) Discuss techniques for design for reliability,
maintainability and supportability. (9) Analysis of simple and advanced
models in spares forecasting and optimization. (10) Discuss data
analysis, data management and data mining techniques.
