Edward J. Williams

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We describe the application of simulation analysis to a complex operational problem involving scheduling, sequencing, and material-handling decisions. The manufacturing process under study required close attention to correct mix and sequencing of raw materials, reduction of material-handling costs, high utilization of a resource having significant purchase(More)
This study details the synergistic application of ergonomic analysis, discrete-process simulation, and statistical analysis to the problems of determining the optimum design for a final engine drop assembly work station. The study comprised attention to analysis of facilities and tooling systems, material-handling systems, and ergonomic workplace design.(More)
As businesses and industries become steadily more global in their operational scope, and more intensely competitive, achievement of a lean, efficient, reliable supply chain increases in both importance and complexity. Recent research comprises many ideas to help engineers and managers construct and maintain such a supply chain. Additionally, numerous(More)
Chain conveyors are a specific type of conveyor often used in a variety of manufacturing and production applications, such as body and paint shops. These conveyors must typically interface with other types of conveyors such as cross-transfer conveyors, and also with other material-handling equipment such as lift tables and hold tables. Micromodeling of(More)
Experienced and wise industrial engineering educators and practitioners have long understood that industrial engineering is a coherent discipline encompassing techniques that work best synergistically, not a motley collection of specialized techniques each isolated in a separate chimney. As an example of the synergies which industrial engineering can bring(More)
This study describes an application of discrete-process simulation to a final assembly process within the automotive industry. The study addressed the issues of whether the process design would meet production quotas, assessing the process flow times within the proposed system, verifying and improving the design of the conveyor system, and identifying and(More)
We describe the application of simulation and statistical analyses to the improvement of a shipping and distribution system supporting a component-fabrication plant and two automotive assembly plants interconnected by truck lines and railroads. These analyses enabled managers to determine the number and location of loading docks required, optimize the(More)
Monte Carlo techniques have long been used (since Buffon's experiment to approximate the value of π by tossing a needle onto striped paper) to analyze phenomena which, due to their complexity and/or stochasticity, are beyond the reach of closed-form equations. Basic examples of such studies are estimating the probability that military field(More)