Abstract: The present disclosure relates to medical delivery devices that include a barrel having an inner surface, and in at least one embodiment, the inner surface is hydrophilic. The medical delivery device may further include a stopper may having an elastomeric body, one or more fluoropolymer layers, and two or more ribs laminated to the one or more fluoropolymer layers. In some embodiments, the contact angle of the inner surface of the barrel is less than about 58°. Additionally, the stopper includes a sliding surface that is less than about 2.0 mm. The barrel provides inner surface that in combination with the fluoropolymer laminate or fluoropolymer film achieve high levels of air and liquid impermeability while also maintaining an acceptably low break loose force, low average glide force, and low glide force variation. In some embodiments, the compressibility stopper against the barrel is greater than about 7.9%.

Abstract: A computer-implemented process determines optimum configuration parameters for a buffered industrial process. A population size is initialized by randomly selecting a first set of design and operation values associated with subsystems and buffers of the buffered industrial process to form a set of operating parameters for each member of the population. An availability discrete event simulation (ADES) is performed on each member of the population to determine the product-based availability of each member. A new population is formed having members with a second set of design and operation values related to the first set of design and operation values through a genetic algorithm and the product-based availability determined by the ADES. Subsequent population members are then determined by iterating the genetic algorithm with product-based availability determined by ADES to form improved design and operation values from which the configuration parameters are selected for the buffered industrial process.

Abstract: The present invention includes a computer-implemented process for determining optimum configuration parameters for a buffered industrial process. A population is initialized by randomly selecting a first set of design and operation values associated with subsystems and buffers of the buffered industrial process to form a set of operating parameters for each member of the population. An availability discrete event simulation (ADES) is performed on each member of the population to determine the product-based availability of each member. A new population is formed having members with a second set of design and operation values related to the first set of design and operation values through a genetic algorithm and the product-based availability determined by the ADES.