Publications

Arguello, Bryan A.; Nelson, April M.; Hoffman, Matthew J.; Eddy, John P.

Abstract not provided.

Hoffman, Matthew J.; Wachtel, Amanda; Gauthier, John H.; Munoz-Ramos, Karina M.; Turnley, Jessica; Nelson, April M.; Speed, Ann S.; Lawton, Craig R.; Kittinger, Robert

Abstract not provided.

Waddell, Lucas W.; Muldoon, Frank M.; Melander, Darryl J.; Backlund, Peter B.; Henry, Stephen M.; Hoffman, Matthew J.; Nelson, April M.; Lawton, Craig R.; Rice, Roy E.

To help effectively plan the management and modernization of their large and diverse fleets of vehicles, the Program Executive Office Ground Combat Systems (PEO GCS) and the Program Executive Office Combat Support and Combat Service Support (PEO CS &CSS) commissioned the development of a large - scale portfolio planning optimization tool. This software, the Capability Portfolio Analysis Tool (CPAT), creates a detailed schedule that optimally prioritizes the modernization or replacement of vehicles within the fleet - respecting numerous business rules associated with fleet structure, budgets, industrial base, research and testing, etc., while maximizing overall fleet performance through time. This report contains a description of the organizational fleet structure and a thorough explanation of the business rules that the CPAT formulation follows involving performance, scheduling, production, and budgets. This report, which is an update to the original CPAT domain model published in 2015 (SAND2015 - 4009), covers important new CPAT features. This page intentionally left blank

Waddell, Lucas W.; Muldoon, Frank M.; Henry, Stephen M.; Hoffman, Matthew J.; Nelson, April M.; Backlund, Peter B.; Melander, Darryl J.; Lawton, Craig R.; Rice, Roy E.

In order to effectively plan the management and modernization of their large and diverse fleets of vehicles, Program Executive Office Ground Combat Systems (PEO GCS) and Program Executive Office Combat Support and Combat Service Support (PEO CS&CSS) commis- sioned the development of a large-scale portfolio planning optimization tool. This software, the Capability Portfolio Analysis Tool (CPAT), creates a detailed schedule that optimally prioritizes the modernization or replacement of vehicles within the fleet - respecting numerous business rules associated with fleet structure, budgets, industrial base, research and testing, etc., while maximizing overall fleet performance through time. This paper contains a thor- ough documentation of the terminology, parameters, variables, and constraints that comprise the fleet management mixed integer linear programming (MILP) mathematical formulation. This paper, which is an update to the original CPAT formulation document published in 2015 (SAND2015-3487), covers the formulation of important new CPAT features.

Flory, John A.; Padilla, Denise D.; Gauthier, John H.; Nelson, April M.; Miller, Steven P.

Upcoming weapon programs require an aggressive increase in Application Specific Integrated Circuit (ASIC) production at Sandia National Laboratories (SNL). SNL has developed unique modeling and optimization tools that have been instrumental in improving ASIC production productivity and efficiency, identifying optimal operational and tactical execution plans under resource constraints, and providing confidence in successful mission execution. With ten products and unprecedented levels of demand, a single set of shared resources, highly variable processes, and the need for external supplier task synchronization, scheduling is an integral part of successful manufacturing. The scheduler uses an iterative multi-objective genetic algorithm and a multi-dimensional performance evaluator. Schedule feasibility is assessed using a discrete event simulation (DES) that incorporates operational uncertainty, variability, and resource availability. The tools provide rapid scenario assessments and responses to variances in the operational environment, and have been used to inform major equipment investments and workforce planning decisions in multiple SNL facilities.

Flory, John A.; Padilla, Denise D.; Gauthier, John H.; Nelson, April M.; Miller, Steven P.

Abstract not provided.