The rationale and motive for this thesis was to prove that no matter the size of a company and its particular value stream, the application of applied computer science principles with a reliance on computer modeling and simulation onto the factory floor process improves efficiencies and throughput through the reduction of downtime and/or process waiting. This thesis research specifically emphasized small businesses of between $2 and $20 million and was purposely limited to factory floor production processes and utilized standardized applied computer science techniques including simulation and modeling, microprocessor based factory floor intelligence devices. The results of this applied technology yields data driven decisions through established production management programs such as Six Sigma and Lean techniques. The resulting research shows that methodologies developed here can be used in market segments that can’t now afford to implement these efficiency programs and as such, the application of the proposals brought forth in this thesis should precipitate an increase in US Small Business manufacturing efficiencies.
","abstract_html":"<p>The rationale and motive for this thesis was to prove that no matter the size of a company and its particular value stream, the application of applied computer science principles with a reliance on computer modeling and simulation onto the factory floor process improves efficiencies and throughput through the reduction of downtime and/or process waiting. This thesis research specifically emphasized small businesses of between $2 and $20 million and was purposely limited to factory floor production processes and utilized standardized applied computer science techniques including simulation and modeling, microprocessor based factory floor intelligence devices. The results of this applied technology yields data driven decisions through established production management programs such as Six Sigma and Lean techniques. The resulting research shows that methodologies developed here can be used in market segments that can’t now afford to implement these efficiency programs and as such, the application of the proposals brought forth in this thesis should precipitate an increase in US Small Business manufacturing efficiencies.</p>","abstract_has_math":true,"creators":["Romano, Brian P"],"institution":null,"degree_name":"Computer Science - Applied Computing Track","degree_level":"Thesis","degree_discipline":"TSYS School of Computer Science","degree_department":null,"school":null,"contributors":["Shamim Khan","Radhouane Chouchane","Hoda Mehrpouyan"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2016,"date_issued":"2016-06-01T07:00:00Z","date_published":"2016-06-01T07:00:00Z","updated_at":"2026-07-24T01:44:55Z","subjects":["Computer Modeling","Simulation","Factory Floors","Small Businesses","Medium-Sized Businesses","Computer Sciences","Numerical Analysis and Scientific Computing","Theory and Algorithms"],"languages":["English"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://csuepress.columbusstate.edu/theses_dissertations/240","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Shamim Khan","Radhouane Chouchane","Hoda Mehrpouyan"]},{"key":"dc:creator","label":"Author","values":["Romano, Brian P"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2017-07-25T07:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["TSYS School of Computer Science"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Computer Science - Applied Computing Track"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Computer Modeling","Simulation","Factory Floors","Small Businesses","Medium-Sized Businesses","Computer Sciences","Numerical Analysis and Scientific Computing","Theory and Algorithms"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://csuepress.columbusstate.edu/theses_dissertations/240"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["The rationale and motive for this thesis was to prove that no matter the size of a company and its particular value stream, the application of applied computer science principles with a reliance on computer modeling and simulation onto the factory floor process improves efficiencies and throughput through the reduction of downtime and/or process waiting. This thesis research specifically emphasized small businesses of between $2 and $20 million and was purposely limited to factory floor production processes and utilized standardized applied computer science techniques including simulation and modeling, microprocessor based factory floor intelligence devices. The results of this applied technology yields data driven decisions through established production management programs such as Six Sigma and Lean techniques. The resulting research shows that methodologies developed here can be used in market segments that can’t now afford to implement these efficiency programs and as such, the application of the proposals brought forth in this thesis should precipitate an increase in US Small Business manufacturing efficiencies.
"]},{"key":"dc:title","label":"Title","values":["Application of Computer Modeling and Simulation Techniques for Optimization of Factory Floor Operations in Small to Medium- Sized Businesses"]}]}],"canonical_facts":{"dc:contributor":["Shamim Khan","Radhouane Chouchane","Hoda Mehrpouyan"],"dc:creator":["Romano, Brian P"],"dc:date.available":["2017-07-25T07:00:00Z"],"dc:description.abstract":["The rationale and motive for this thesis was to prove that no matter the size of a company and its particular value stream, the application of applied computer science principles with a reliance on computer modeling and simulation onto the factory floor process improves efficiencies and throughput through the reduction of downtime and/or process waiting. This thesis research specifically emphasized small businesses of between $2 and $20 million and was purposely limited to factory floor production processes and utilized standardized applied computer science techniques including simulation and modeling, microprocessor based factory floor intelligence devices. The results of this applied technology yields data driven decisions through established production management programs such as Six Sigma and Lean techniques. The resulting research shows that methodologies developed here can be used in market segments that can’t now afford to implement these efficiency programs and as such, the application of the proposals brought forth in this thesis should precipitate an increase in US Small Business manufacturing efficiencies.
"],"dc:identifier":["https://csuepress.columbusstate.edu/theses_dissertations/240"],"dc:language":["English"],"dc:subject":["Computer Modeling","Simulation","Factory Floors","Small Businesses","Medium-Sized Businesses","Computer Sciences","Numerical Analysis and Scientific Computing","Theory and Algorithms"],"dc:title":["Application of Computer Modeling and Simulation Techniques for Optimization of Factory Floor Operations in Small to Medium- Sized Businesses"],"thesis:degree_discipline":["TSYS School of Computer Science"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["Computer Science - Applied Computing Track"]},"updated_at":"2026-07-24T01:44:55Z"}