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Title: Analyzing manufacturing processes to determine the placement of diagnostic expert systems

Miscellaneous ·
OSTI ID:5896848

Installing diagnostic systems at every manufacturing step is an ideal scenario for reducing waste and maximizing machine utilization, but may be impractical for implementation. Presented is a design methodology for making effective use of diagnostic systems. The methodology has two components: (1) strategic planning and (2) tactical planning. Strategic planning, identifies key steps in the manufacturing process for installing diagnostic systems. The strategic planning component is also used to determine the type of diagnostic system to build at these key steps. Two types of diagnostic systems recommended are spypoints, which detect problems at a manufacturing step, and firewalls, which detect problems at a manufacturing step and all of its preceding steps. Tactical planning, evaluates the recommendations made by the strategic component. Strategic planning is based on four criteria: cost of performing a manufacturing step, value of the partially completed product, reliability of the equipment, and characteristics of the process flow. An example of using the cost of a step during strategic planning is: If a step is very expensive to perform then any of the immediately preceding steps may be good candidates for firewall systems. A firewall system is recommended so that it will detect problems and prevent defective parts from reaching the expensive step. Tactical planning is an analysis of the recommendations made during strategic planning. Feasibility Guidelines are presented. If analysis determines that a recommendation is feasible then guidelines are also included to select appropriate programming techniques for diagnosis. These guidelines are called Design Guidelines, and they are based on Kline and Dolins (1985) (1986). A computer program based on the strategic planning component is discussed. An analysis of a printing industry job illustrates how to use the methodology.

Research Organization:
Texas Univ., Arlington, TX (USA)
OSTI ID:
5896848
Resource Relation:
Other Information: Thesis (Ph.D)
Country of Publication:
United States
Language:
English