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Applying cognitive system engineering to cope with complexity in enterprises

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dc.contributor.author Oosthuizen, Rudolph
dc.contributor.author Pretorius, L
dc.date.accessioned 2012-10-25T07:24:54Z
dc.date.available 2012-10-25T07:24:54Z
dc.date.issued 2012-08
dc.identifier.citation Oosthuizen, R and Pretorius, L. Applying cognitive system engineering to cope with complexity in enterprises. 9th Annual INCOSE SA Conference 2012: Systems Engineering: The Jewel in the Crown, CSIR ICC, Pretoria, 27-29 August 2012 en_US
dc.identifier.isbn 978-0-620-53883-1
dc.identifier.uri http://hdl.handle.net/10204/6217
dc.description 9th Annual INCOSE SA Conference 2012: Systems Engineering: The Jewel in the Crown, CSIR ICC, Pretoria, 27-29 August 2012 en_US
dc.description.abstract Enterprises, commercial or even a military force, exist in a complex world. They have to continuously serve the purpose they are designed for, and to grow as opportunities arise. The operations of the enterprise are always constrained by available resources, governing regulations and the operations of competing enterprises. This leads to “wicked” and “messy” problems facing the enterprise. The enterprise has to detect and analyse changes, which place a risk on fulfilling the enterprise’s purpose, in the environment and inside the enterprise itself. The enterprise therefore requires a management system, similar to a military Command and Control (C2) system, to monitor the status of the enterprise as well as the environment. The ability of an enterprise to exploit available information is crucial, despite the continuous increasing complexity. The management system has to assist the managers, or commanders, of the enterprise with sense making and decision making on the most suitable course of action. Humans have the cognitive ability to develop creative solutions as required within the complex environment. The Human Machine Interfaces (HMI) between the humans and the enterprise Command and Control system must be geared to support and enhance the human capabilities. This HMI has to be developed to operate within complex environmental constraints while supporting complex social interaction and the cognitive strategies and competencies of the complex human decision makers. Cognitive System Engineering (Cognitive SE) has been applied successfully in the military and emergency response environment. Additional complexity assessment frameworks, such as Cynefin from Snowden and Kurz (2003), can be incorporated for making sense of the complex environment. These methods may also be applicable to other enterprises. en_US
dc.language.iso en en_US
dc.publisher South African Chapter of the International Council on Systems Engineering (INCOSE SA) en_US
dc.relation.ispartofseries Workflow;9574
dc.subject Enterprises en_US
dc.subject Systems Engineering en_US
dc.subject Human Machine Interfaces en_US
dc.subject Command and Control system en_US
dc.title Applying cognitive system engineering to cope with complexity in enterprises en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Oosthuizen, R., & Pretorius, L. (2012). Applying cognitive system engineering to cope with complexity in enterprises. South African Chapter of the International Council on Systems Engineering (INCOSE SA). http://hdl.handle.net/10204/6217 en_ZA
dc.identifier.chicagocitation Oosthuizen, Rudolph, and L Pretorius. "Applying cognitive system engineering to cope with complexity in enterprises." (2012): http://hdl.handle.net/10204/6217 en_ZA
dc.identifier.vancouvercitation Oosthuizen R, Pretorius L, Applying cognitive system engineering to cope with complexity in enterprises; South African Chapter of the International Council on Systems Engineering (INCOSE SA); 2012. http://hdl.handle.net/10204/6217 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Oosthuizen, Rudolph AU - Pretorius, L AB - Enterprises, commercial or even a military force, exist in a complex world. They have to continuously serve the purpose they are designed for, and to grow as opportunities arise. The operations of the enterprise are always constrained by available resources, governing regulations and the operations of competing enterprises. This leads to “wicked” and “messy” problems facing the enterprise. The enterprise has to detect and analyse changes, which place a risk on fulfilling the enterprise’s purpose, in the environment and inside the enterprise itself. The enterprise therefore requires a management system, similar to a military Command and Control (C2) system, to monitor the status of the enterprise as well as the environment. The ability of an enterprise to exploit available information is crucial, despite the continuous increasing complexity. The management system has to assist the managers, or commanders, of the enterprise with sense making and decision making on the most suitable course of action. Humans have the cognitive ability to develop creative solutions as required within the complex environment. The Human Machine Interfaces (HMI) between the humans and the enterprise Command and Control system must be geared to support and enhance the human capabilities. This HMI has to be developed to operate within complex environmental constraints while supporting complex social interaction and the cognitive strategies and competencies of the complex human decision makers. Cognitive System Engineering (Cognitive SE) has been applied successfully in the military and emergency response environment. Additional complexity assessment frameworks, such as Cynefin from Snowden and Kurz (2003), can be incorporated for making sense of the complex environment. These methods may also be applicable to other enterprises. DA - 2012-08 DB - ResearchSpace DP - CSIR KW - Enterprises KW - Systems Engineering KW - Human Machine Interfaces KW - Command and Control system LK - https://researchspace.csir.co.za PY - 2012 SM - 978-0-620-53883-1 T1 - Applying cognitive system engineering to cope with complexity in enterprises TI - Applying cognitive system engineering to cope with complexity in enterprises UR - http://hdl.handle.net/10204/6217 ER - en_ZA


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