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Appendix C Illustrative Advanced Long-range Technology Demostrations
Pages 169-174

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From page 169...
... These sketches omit many important issues, such as project size, participants (universities, companies) , duration, budget, and funding mechanism; intellectual property concerns; and so on.
From page 170...
... Problems could be addressed quickly and efficiently when an organization had completed the up-front work of standards, common language, data elements definition, database design, and modernization of the archival knowledge bases. · To show that an appropriate methodology for model construction within an enterprise involving techniques of modular design, scaling, enterprise model hierarchy, and modeling software architecture would allow individual models and databases to be reconfigurable and reusable for new problems.
From page 171...
... APPENDIX C TABLE C.1 A Manufacturing Enterprise Modeling Management System 171 Example Models Research Process, material, and product and concept models development Product Process and product design models design, fabrication cost Production Process and product models Supplier Product and process models management production and throughput models Example Databases Material properties data, performance data, boundary data Material performance data, production costs, design history library Data on volume, mix, cost, materials, maintenance, uptime Statistical process data, status and cost data, production data Logistics Shop floor production Data on volume, condition of paths planning and throughput models of material flow, shipping schedules Financial Financial models production, debt Production costs, financing costs, management structuring, investment external interest rates Human Cost-per-employee, succession, Compensation data, employee resources and training models ratings, government regulations management Sales and Price-cost-market share models, Customer needs; costs to produce, marketing sales forecasting models ship, and advertise; data on customer needs, preferences Business Dynamic strategic analysis models, strategy and scenario models planning venture Alliancejoint Process and product models, financial models, distribution and flow models management Macroeconomic data; data on markets, competitors, costs, exchange rates Data on production, processes, products, costs, revenues, technology used External Life-cycle models, legislative and Data from the Environmental stakeholder regulatory models Protection Agency, Occupational management Safety and Health Administration, legislative records, newspapers NOTE: The manufacturing enterprise modeling management system would connect models and internal databases through a network and would access external databases as necessary
From page 172...
... Suppliers and customers would have to be skilled enough to handle such things as computer-aided design data exchange, electronic data interchange requests for quotes and invoicing, electronic funds transfer payments, and so on. Suppliers would have to be sophisticated enough to handle statistical process and quality control techniques, provide records of employees' training and qualifications, and use computerized production order tracking and status reporting.
From page 173...
... Suppliers would have to be sophisticated enough to handle statistical process and quality control techniques, provide records of employees' training and qualifications, and use computerized production order tracking and status reporting. Objectives of the Demonstration · To show that a set of policies and procedures could be developed for the purpose of electronic brokering of prototyping work tasks and that this type of business could be supported by existing technology.
From page 174...
... Infrastructure A real-time sales forecasting system would require databases, search techniques, and modeling methods for extrapolating information that is not available directly. Of particular relevance are national and regional econometric data on and models of consumer behavior at the present time; data on stocks of finished goods unsold in a company's own pipeline plus estimates of stocks in competitors' pipelines extrapolated from other economic data; methods of determining demand for the company's products based on demand from allied economic fields (e.g., demand for electric sockets based on demand for wire, or demand for paint and varnish based on demand for lumber)

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