Diffusion Activity Networks

dc.contributor.advisorSalah Elmaghraby, Chairen_US
dc.contributor.advisorJohn Bishir, Memberen_US
dc.contributor.advisorWilliam McEneaney, Memberen_US
dc.contributor.advisorBibhuti Bhattacharya, Memberen_US
dc.contributor.authorAgrawal, Mani Kanten_US
dc.date.accessioned2010-04-02T19:10:04Z
dc.date.available2010-04-02T19:10:04Z
dc.date.issued1999-11-14en_US
dc.degree.disciplineOperations Researchen_US
dc.degree.levelPhD Dissertationen_US
dc.degree.namePhDen_US
dc.description.abstractAn activity network (nodes and so that an arc always leads from a smaller numbered node to a higher numberednode. The graph has only one node with no incident arcs, which is calledthe starting node and numbered is the only nodewith no emanating arcs and is named the terminal node. An arc representsan activity and a node the start or the culmination of that activity. Theterminal node represents the end of the project. These kinds of graphsare also referred to as Activity on Arc () representation of. In DiAN the process represented by the arcs is a diffusion process,the state of which is identified with the remaining work content (rwc).The process starts at time '0' at rwc = 1 with a negative drift coefficient.An absorbing barrier is placed at rwc = 0 to identify with the end of theprocess. The completion time of an activity is thus the first passage timeof such a diffusion process. The paradigm of DiAN, while offering an enhanced modeling concept, raisesmany questions regarding computational challenges, definition of projectmanagement metrics and applicability of such a tool in areas beyond projectmanagement. The thesis primarily focuses on understanding such foundationalissues. These issues are as follows. Development of a conceptual framework to model the projects using DiANtechniques. A related issue was to develop a framework to translate thecommon managerial knowledge to the parameters of the DiAN model.Computational aspects of various performance metrics under the paradigmof DiAN. We focus mainly on calculation of completion time of a projectto show the computational feasibility of this technique.Controlling an activity that has deviated substantially from its intendedcourse of execution. We propose and evaluate multiple strategies from bothplanning and execution point of view.Generation of the test sets of a given complexity index to evaluate theeffectiveness of this technique in an objective manner.Finally, some generalizations, extensions, and variants of DiAN are presentedto stimulate future research on this topic. The work presented here reflects the development of a new paradigm.In so, it offers more questions than answers. We have focused on the developmentof the framework along with enough analysis to validate its practical applicability.en_US
dc.identifier.otheretd-19991110-052144en_US
dc.identifier.urihttp://www.lib.ncsu.edu/resolver/1840.16/5238
dc.rightsI hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to NC State University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report.en_US
dc.titleDiffusion Activity Networksen_US

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