A typical command-control (C[superscript]2) system was modeled and analyzed for peace-time and war-time as Conflict-free Stochastic Timed Placed Petri Net. The decomposition of the model provides an easier method to formulate and to simulate system states. The procedures to evaluate time-related measures: system maximum throughput rate, measured by minimum average circuit processing rate achieved by the system; average cycle processing rate of a C[superscript]2 process, measured by the processing rate of the task circuit formed by a C[superscript]2 process; and the average system response time, measured by the average time elapsed for the system to perform an input were provided. Time and capacity constraints which are specific to characterize system behavior were addressed. The system effectiveness measures are represented and analyzed as a function of task processing time and capacity available to each process and the system. Hence, this makes it possible to analyze the system structure and thus modify the underlying system.
","abstract_html":"<p>A typical command-control (C[superscript]2) system was modeled and analyzed for peace-time and war-time as Conflict-free Stochastic Timed Placed Petri Net. The decomposition of the model provides an easier method to formulate and to simulate system states. The procedures to evaluate time-related measures: system maximum throughput rate, measured by minimum average circuit processing rate achieved by the system; average cycle processing rate of a C[superscript]2 process, measured by the processing rate of the task circuit formed by a C[superscript]2 process; and the average system response time, measured by the average time elapsed for the system to perform an input were provided. Time and capacity constraints which are specific to characterize system behavior were addressed. The system effectiveness measures are represented and analyzed as a function of task processing time and capacity available to each process and the system. Hence, this makes it possible to analyze the system structure and thus modify the underlying system.</p>","abstract_has_math":false,"creators":["Kwak, Yongsu"],"institution":null,"degree_name":"Doctor of Philosophy","degree_level":"dissertation","degree_discipline":null,"degree_department":"Department of Industrial and Manufacturing Systems Engineering","school":null,"contributors":[],"advisors":["Way Kuo"],"committee_chairs":[],"committee_members":[],"year":1989,"date_issued":"1989","date_published":"1989","updated_at":"2026-07-24T02:37:38Z","subjects":[],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier.doi","label":"DOI","values":["https://doi.org/10.31274/rtd-180813-11356"],"render_values":[{"text":"https://doi.org/10.31274/rtd-180813-11356","href":"https://doi.org/10.31274/rtd-180813-11356","code":true}]},{"key":"dc:identifier","label":"Identifier","values":["archive/lib.dr.iastate.edu/rtd/9065/"],"render_values":[{"text":"archive/lib.dr.iastate.edu/rtd/9065/","href":null,"code":true}]}]},"links":{"outbound_url":"https://dr.lib.iastate.edu/handle/20.500.12876/82123","outbound_label":"Repository record","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Way Kuo"]},{"key":"dc:contributor.department","label":"Department","values":["Department of Industrial and Manufacturing Systems Engineering"]},{"key":"dc:creator","label":"Author","values":["Kwak, Yongsu"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2018-08-16T18:47:57.000"]},{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2020-07-02T06:11:02Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2020-07-02T06:11:02Z"]},{"key":"dc:date.issued","label":"Date","values":["1989"]},{"key":"dc:type","label":"Dc Type","values":["dissertation"]},{"key":"thesis:degree_level","label":"Degree Level","values":["dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Doctor of Philosophy"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["archive/lib.dr.iastate.edu/rtd/9065/"]},{"key":"dc:identifier.doi","label":"DOI","values":["https://doi.org/10.31274/rtd-180813-11356"]},{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://dr.lib.iastate.edu/handle/20.500.12876/82123"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["A typical command-control (C[superscript]2) system was modeled and analyzed for peace-time and war-time as Conflict-free Stochastic Timed Placed Petri Net. The decomposition of the model provides an easier method to formulate and to simulate system states. The procedures to evaluate time-related measures: system maximum throughput rate, measured by minimum average circuit processing rate achieved by the system; average cycle processing rate of a C[superscript]2 process, measured by the processing rate of the task circuit formed by a C[superscript]2 process; and the average system response time, measured by the average time elapsed for the system to perform an input were provided. Time and capacity constraints which are specific to characterize system behavior were addressed. The system effectiveness measures are represented and analyzed as a function of task processing time and capacity available to each process and the system. Hence, this makes it possible to analyze the system structure and thus modify the underlying system.
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