Abstract: A floorboard for a reconfigurable floorboard system may include a substantially trapezoid shaped plate. An interlocking feature may be formed proximate an edge of at least three sides of the plate for interlocking with adjacent floorboards. Each interlocking feature may be formed to interlock with a mating interlocking feature formed at an edge of a side of at least one adjacent floorboard. A notch may be formed on an underside of the plate proximate each corner of the plate to contact a member of a floor grid to prevent movement of the floorboard.

Abstract: Systems and methods for arithmetic modeling of large scale engineer-to-order production systems using asynchronous stochastic learning curve are disclosed. In one embodiment, a method for simulating a production system configured to produce a product includes, for a plurality of components, assigning learning curve parameters for an asynchronous stochastic learning curve associated with each component. Master schedule data for manufacturing a plurality of the product are received, and production of the plurality of components a plurality of cycles corresponding to the plurality of the product is simulated. The results of the simulated productions are output for analysis. In a further aspect, the product is an aircraft, and the components are aircraft components.

Abstract: A floorboard for a reconfigurable floorboard system may include a substantially trapezoid shaped plate. An interlocking feature may be formed proximate an edge of at least three sides of the plate for interlocking with adjacent floorboards. Each interlocking feature may be formed to interlock with a mating interlocking feature formed at an edge of a side of at least one adjacent floorboard. A notch may be formed on an underside of the plate proximate each corner of the plate to contact a member of a floor grid to prevent movement of the floorboard.

Abstract: Systems and methods for arithmetic modeling of large scale engineer-to-order production systems using asynchronous stochastic learning curve are disclosed. In one embodiment, a method for simulating a production system configured to produce a product includes, for a plurality of components, assigning learning curve parameters for an asynchronous stochastic learning curve associated with each component. Master schedule data for manufacturing a plurality of the product are received, and production of the plurality of components a plurality of cycles corresponding to the plurality of the product is simulated. The results of the simulated productions are output for analysis. In a further aspect, the product is an aircraft, and the components are aircraft components.

Abstract: A system of manufacturing a product in a pull and push manufacturing system is provided, where the product comprises at least one model and each model includes at least one component. The system includes an order scheduler, a component scheduler, a make-to-order (MTO) portion and an assemble to order (ATO) portion. The order scheduler is capable of receiving order(s) for model(s) of the product, and the component scheduler is capable of generating a component firing order schedule (CFOS) for the components corresponding to the models ordered. The MTO portion can release each component and thereafter produce the components. And the ATO portion can release each order and thereafter assemble the orders released from the produced components at a number of assembly lines. Advantageously, a number of system parameters can be determined based upon modeling the manufacturing system.

Abstract: A system of manufacturing a product in a pull and push manufacturing system is provided, where the product comprises at least one model and each model includes at least one component. The system includes an order scheduler, a component scheduler, a make-to-order (MTO) portion and an assemble to order (ATO) portion. The order scheduler is capable of receiving order(s) for model(s) of the product, and the component scheduler is capable of generating a component firing order schedule (CFOS) for the components corresponding to the models ordered. The MTO portion can release each component and thereafter produce the components. And the ATO portion can release each order and thereafter assemble the orders released from the produced components at a number of assembly lines. Advantageously, a number of system parameters can be determined based upon modeling the manufacturing system.