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Using model based systems engineering for the development of the Large Synoptic Survey Telescope's (LSST) operational plan

Selvy, Brian
Charles Claver ; Beth Willman ; Don Petravick ; Margaret Johnson ; Kevin Reil ; Stuart Marshall ; Sandrine Thomas ; Paul Lotz ; German Schumacher ; Kian-Tat Lim ; Tim Jenness ; Suzanne Jacoby ; Ben Emmons ; Tim Axelrod
Brian M. Selvy ; Charles Claver ; Beth Willman ; Don Petravick ; Margaret Johnson ; Kevin Reil ; Stuart Marshall ; Sandrine Thomas ; Paul Lotz ; German Schumacher ; Kian-Tat Lim ; Tim Jenness ; Suzanne Jacoby ; Ben Emmons ; Tim Axelrod; Using model based systems engineering for the development of the Large Synoptic Survey Telescope's (LSST) operational plan . Proc. SPIE 9911, Modeling, Systems Engineering, and Project Management for Astronomy VI, 99110D (August 18, 2016); doi:10.1117/12.2233904.
Publication Date: 
Thursday, August 18, 2016
Type: 
SPIE
Citable: 
no
Category: 
SPIE Proceedings
Volume: 
9911
Abstract: 
We provide an overview of the Model Based Systems Engineering (MBSE) language, tool, and methodology being used in our development of the Operational Plan for Large Synoptic Survey Telescope (LSST) operations. LSST’s Systems Engineering (SE) team is using a model-based approach to operational plan development to: 1) capture the topdown stakeholders’ needs and functional allocations defining the scope, required tasks, and personnel needed for operations, and 2) capture the bottom-up operations and maintenance activities required to conduct the LSST survey across its distributed operations sites for the full ten year survey duration. To accomplish these complimentary goals and ensure that they result in self-consistent results, we have developed a holistic approach using the Sparx Enterprise Architect modeling tool and Systems Modeling Language (SysML). This approach utilizes SysML Use Cases, Actors, associated relationships, and Activity Diagrams to document and refine all of the major operations and maintenance activities that will be required to successfully operate the observatory and meet stakeholder expectations. We have developed several customized extensions of the SysML language including the creation of a custom stereotyped Use Case element with unique tagged values, as well as unique association connectors and Actor stereotypes. We demonstrate this customized MBSE methodology enables us to define: 1) the rolls each human Actor must take on to successfully carry out the activities associated with the Use Cases; 2) the skills each Actor must possess; 3) the functional allocation of all required stakeholder activities and Use Cases to organizational entities tasked with carrying them out; and 4) the organization structure required to successfully execute the operational survey. Our approach allows for continual refinement utilizing the systems engineering spiral method to expose finer levels of detail as necessary. For example, the bottom-up, Use Case-driven approach will be deployed in the future to develop the detailed work procedures required to successfully execute each operational activity. © (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Publication-118
Reviewed Under: 
LSST Project Publication Policy
Bibtex reference: 
@proceeding{doi:10.1117/12.2233904, author = {Selvy, Brian M. and Claver, Charles and Willman, Beth and Petravick, Don and Johnson, Margaret and Reil, Kevin and Marshall, Stuart and Thomas, Sandrine and Lotz, Paul and Schumacher, German and Lim, Kian-Tat and Jenness, Tim and Jacoby, Suzanne and Emmons, Ben and Axelrod, Tim}, title = { Using model based systems engineering for the development of the Large Synoptic Survey Telescope's (LSST) operational plan }, journal = {Proc. SPIE}, volume = {9911}, number = {}, pages = {99110D-99110D-19}, abstract = { We† provide an overview of the Model Based Systems Engineering (MBSE) language, tool, and methodology being used in our development of the Operational Plan for Large Synoptic Survey Telescope (LSST) operations. LSST’s Systems Engineering (SE) team is using a model-based approach to operational plan development to: 1) capture the topdown stakeholders’ needs and functional allocations defining the scope, required tasks, and personnel needed for operations, and 2) capture the bottom-up operations and maintenance activities required to conduct the LSST survey across its distributed operations sites for the full ten year survey duration. To accomplish these complimentary goals and ensure that they result in self-consistent results, we have developed a holistic approach using the Sparx Enterprise Architect modeling tool and Systems Modeling Language (SysML). This approach utilizes SysML Use Cases, Actors, associated relationships, and Activity Diagrams to document and refine all of the major operations and maintenance activities that will be required to successfully operate the observatory and meet stakeholder expectations. We have developed several customized extensions of the SysML language including the creation of a custom stereotyped Use Case element with unique tagged values, as well as unique association connectors and Actor stereotypes. We demonstrate this customized MBSE methodology enables us to define: 1) the rolls each human Actor must take on to successfully carry out the activities associated with the Use Cases; 2) the skills each Actor must possess; 3) the functional allocation of all required stakeholder activities and Use Cases to organizational entities tasked with carrying them out; and 4) the organization structure required to successfully execute the operational survey. Our approach allows for continual refinement utilizing the systems engineering spiral method to expose finer levels of detail as necessary. For example, the bottom-up, Use Case-driven approach will be deployed in the future to develop the detailed work procedures required to successfully execute each operational activity. }, year = {2016}, doi = {10.1117/12.2233904}, URL = { http://dx.doi.org/10.1117/12.2233904}, eprint = {} }

Financial support for LSST comes from the National Science Foundation (NSF) through Cooperative Agreement No. 1258333, the Department of Energy (DOE) Office of Science under Contract No. DE-AC02-76SF00515, and private funding raised by the LSST Corporation. The NSF-funded LSST Project Office for construction was established as an operating center under management of the Association of Universities for Research in Astronomy (AURA).  The DOE-funded effort to build the LSST camera is managed by the SLAC National Accelerator Laboratory (SLAC).
The National Science Foundation (NSF) is an independent federal agency created by Congress in 1950 to promote the progress of science. NSF supports basic research and people to create knowledge that transforms the future.
NSF and DOE will continue to support LSST in its Operations phase. They will also provide support for scientific research with LSST data.   




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