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dc.contributor.authorRezaeiahari, M.
dc.contributor.authorAlkhawaldeh, R.
dc.contributor.authorShan, Xiaojun
dc.contributor.authorKhasawneh, M. T.
dc.contributor.authorSrihari, K.
dc.date.accessioned2019-11-14T16:23:04Z
dc.date.available2019-11-14T16:23:04Z
dc.date.issued2015-10-19
dc.identifier.citation21. Rezaeiahari, M., R. Alkhawaldeh, X. Shan, M. T. Khasawneh, and K. Srihari, “Applying Lean Six Sigma for Performance Improvement in Academic Advising”, Proceedings of the 4th Annual World Conference of the Society for Industrial and Systems Engineering, Fort Lauderdale, FL, October 19-21, 2015.en_US
dc.identifier.urihttps://hdl.handle.net/10657.1/1683
dc.description.abstractAcademic advising provides critical supports for students to have successful academic experience. On the other hand, academic advising is a complex and multifaceted process to satisfy students’ diverse needs. This research applies continuous performance improvement techniques to evaluate the effectiveness of an academic advising office at the undergraduate level at a U.S. university with an annual average enrollment of approximately 8,000 students. The objective of this study is fourfold: (1) to analyze the advising office, (2) to identify operational bottlenecks, (3) to provide recommendations and streamline advising processes, and (4) to develop a comprehensive process improvement strategy. Recommendations are provided based on a DMAIC-based framework. To limit student waiting time to 20 or 10 minutes, 13 or 16 advisers are required during regular time periods, and 16 or 18 advisers are needed during the pre-registration time period, respectively, given a threefold increase in demand.en_US
dc.publisherProceedings of the 4th Annual World Conference of the Society for Industrial and Systems Engineeringen_US
dc.titleApplying Lean Six Sigma for Performance Improvement in Academic Advisingen_US


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