Knowledge that Transforms

Production and Operations ManagementVolume 18, Issue 2 p. 240-240 Special Issue of Production and Operations Management: Retail Operations Vishal Gaur, Vishal Gaur The Johnson School, Cornell University, 321 Sage Hall, Ithaca, NY 14853, [email protected] for more papers by this authorAnanth Raman, Ananth Raman Harvard Business School, Boston, MA 02163, [email protected] for more papers by this authorJayashankar M. Swaminathan, Jayashankar M. Swaminathan Kenan-Flagler Business School, University of North Carolina, Chapel Hill, NC 27599, [email protected] for more papers by this author Vishal Gaur, Vishal Gaur The Johnson School, Cornell University, 321 Sage Hall, Ithaca, NY 14853, [email protected] for more papers by this authorAnanth Raman, Ananth Raman Harvard Business School, Boston, MA 02163, [email protected] for more papers by this authorJayashankar M. Swaminathan, Jayashankar M. Swaminathan Kenan-Flagler Business School, University of North Carolina, Chapel Hill, NC 27599, [email protected] for more papers by this author First published: 06 April 2009 https://doi.org/10.1111/j.1937-5956.2009.01054.xRead the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume18, Issue2March/April 2009Pages 240-240 RelatedInformation

We develop variations of the M| G|1 queue to model the process of software maintenance within organizations and use these models to compute the optimal allocation of resources to software maintenance. User requests are assumed to arrive following a Poisson process and a binomial distribution is used to model duplication of requests. We obtain expressions for expected queue lengths with an exponential server using an N‐policy for an integer N≥1. We also obtain the optimal batching size and mean service rate by minimizing the total cost consisting of the cost of the server, the cost of waiting, and the fixed cost of maintenance, if applicable.