Access the full text.
Sign up today, get DeepDyve free for 14 days.
References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.
I am very honored and delighted to be a discussant for the paper ‘System availability assessment using stochastic models’ by Kishor S. Trivedi, Dong Seong Kim, and Rahul Ghosh. I enjoyed reading this discussion article, because it involves some case studies in computer‐based system engineering with availability assessment. It can be emphasized that the underlying problems are all real‐world examples and are not artificial toy problems as seen in many theoretical papers. From theoretical view points, this paper treats an asymptotic one‐unit system for more complex systems in Figure 3 and shows how to derive transition rates λ eq and μ eq in Equations (4)–(7). However, I have some doubts of such formulations. To compute λ eq and μ eq from equations c1 λ eq = 1 π U ∑ R π i q ij and μ eq = 1 π D ∑ R π i q ij , we need to know π U and π D . However, if we could know π U and π D , the steady‐state availability and its corresponding unavailability can be easily given by A = π U and A ¯ ≡ 1 − A = π D . If
Applied Stochastic Models in Business and Industry – Wiley
Published: Mar 1, 2013
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.