Jamison, Kevin ARoux, Jeanne MZwane, Lindokuhle2021-11-052021-11-052021-09Jamison, K.A., Roux, J.M. & Zwane, L. 2021. Selecting munition design features and operational concepts using a trade study supported by simulated operational scenarios. http://hdl.handle.net/10204/12143 .http://hdl.handle.net/10204/12143A development of an existing munition aimed at an entirely new target set was planned. A trade study was performed to identify the key design features and employment concepts that generate the optimum outcomes in a demanding operational scenario. The trade study was configured as a Multi-Attribute Tradespace Exploration (MATE) using a trade study matrix that considers the key design and operational variables to be investigated. The baseline munition concept was parameterised such that design changes are described by those key variables. For each set of tradespace variables the baseline munition design was optimised to maximise its operational range while complying with constraints and meeting the design requirements. The characteristics of each optimised munition was determined for input into a simulation model of an operational scenario modelling the operational environment and the threat systems to determine the best performing munition solution. This paper outlines the implementation of the MATE approach and the lessons learned that can be incorporated in the broader systems engineering discipline.FulltextenMulti-Attribute Tradespace ExplorationMATEDesign-Value LoopTradespaceSelecting munition design features and operational concepts using a trade study supported by simulated operational scenariosConference PresentationJamison, K. A., Roux, J. M., & Zwane, L. (2021). Selecting munition design features and operational concepts using a trade study supported by simulated operational scenarios. http://hdl.handle.net/10204/12143Jamison, Kevin A, Jeanne M Roux, and Lindokuhle Zwane. "Selecting munition design features and operational concepts using a trade study supported by simulated operational scenarios." <i>Proceedings of the 15th SA INCOSE Conference, Virtual, 15 - 16 September 2021</i> (2021): http://hdl.handle.net/10204/12143Jamison KA, Roux JM, Zwane L, Selecting munition design features and operational concepts using a trade study supported by simulated operational scenarios; 2021. http://hdl.handle.net/10204/12143 .TY - Conference Presentation AU - Jamison, Kevin A AU - Roux, Jeanne M AU - Zwane, Lindokuhle AB - A development of an existing munition aimed at an entirely new target set was planned. A trade study was performed to identify the key design features and employment concepts that generate the optimum outcomes in a demanding operational scenario. The trade study was configured as a Multi-Attribute Tradespace Exploration (MATE) using a trade study matrix that considers the key design and operational variables to be investigated. The baseline munition concept was parameterised such that design changes are described by those key variables. For each set of tradespace variables the baseline munition design was optimised to maximise its operational range while complying with constraints and meeting the design requirements. The characteristics of each optimised munition was determined for input into a simulation model of an operational scenario modelling the operational environment and the threat systems to determine the best performing munition solution. This paper outlines the implementation of the MATE approach and the lessons learned that can be incorporated in the broader systems engineering discipline. DA - 2021-09 DB - ResearchSpace DP - CSIR J1 - Proceedings of the 15th SA INCOSE Conference, Virtual, 15 - 16 September 2021 KW - Multi-Attribute Tradespace Exploration KW - MATE KW - Design-Value Loop KW - Tradespace LK - https://researchspace.csir.co.za PY - 2021 T1 - Selecting munition design features and operational concepts using a trade study supported by simulated operational scenarios TI - Selecting munition design features and operational concepts using a trade study supported by simulated operational scenarios UR - http://hdl.handle.net/10204/12143 ER -25076