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dc.contributor.authorYarges, Benjamin
dc.date.accessioned2021-12-23T21:57:56Z
dc.date.available2021-12-23T21:57:56Z
dc.date.issued2021-12
dc.identifier.urihttp://hdl.handle.net/20.500.11803/1647
dc.description.abstractTechnological innovation within production environments for technical manufacturing and maintenance operations is a field of study that has encountered many gaps between the vision of largely automated intelligent systems, and systems that continue to rely on a mostly human workforce. This study is intended to fill in that gap by proposing a system designed to increase capabilities and enable the human workforce by means of technological innovation and the use of existing modern enterprise cloud models alongside mobile and other thin-client computing. To achieve this, comprehensive information and knowledge management systems in such environments is an essential factor for a successful and efficient workforce. Such a network can also be leveraged by developing a persistent communication platform that can enable subject matter experts in the field to coach workers in real-time and help them work through difficult and complex scenarios, thereby enabling success and efficiency. Success and efficiency can be measured in terms of productivity, quality, and safety of operations. The motivation behind the research is that a workforce equipped with smart knowledge systems is easier able to handle broader roles and effectively better utilize cross training techniques. The contribution is that the concept design proposed in this paper may be adopted by organizations that seek to increase the capabilities of their own workforce.en_US
dc.language.isoenen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States
dc.rightsopenAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/
dc.subjectKnowledge management systemsen_US
dc.subjectWorkforce capabilitiesen_US
dc.titleDeveloping a Connected Knowledge Management System to Increase Workforce Capabilitiesen_US
dc.typeCapstoneen_US
thesis.degree.disciplineComputer Systemsen_US
thesis.degree.grantorCity University of Seattleen_US
thesis.degree.levelUndergraduateen_US
thesis.degree.nameBachelor of Scienceen_US
cityu.schoolSchool of Technology and Computingen_US
cityu.siteSeattleen_US
cityu.site.countryUnited Statesen_US


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Attribution-NonCommercial-NoDerivs 3.0 United States