Today's manufacturing environment is characterized by competition and
continuous change in product and process requirements. The concept of
"design for manufacturability" integrates product specifications with
manufacturing capabilities by considering the design and manufacturing
phases as an integrated system, evaluating the combined system during
the design phase of a product , and adjusting the design for maximum
efficiency and production economics.
This research focuses on one aspect of design for manufacturability,
that of process technology evaluation for a specified product design.
The objective of the proposed system developed in this study is to
evaluate technology alternatives for manufacturing a specified part
design and to identify the best combination of product-process
characteristics that would minimize production costs within the
constraints set by the product's functional requirements and available
processing technology.
The research objectives are accomplished by developing a simulation
based analysis system. The user inputs product specifications through
structural screens. The system maintains data bases of work and tool
materials, and machining operations. Based on user input, the system
then extracts appropriate information from these data bases, and
analyzes of the production system in terms of production economics, and
other operational measures such as throughput times and work-in-process
inventories. Sensitivity analysis may then be performed to explore
tradeoffs in design and production parameters. The system is completely
integrated, and a user with no prior experience of either simulation or
data base technology can use the system effectively. / Graduation date: 1992
| Identifer | oai:union.ndltd.org:ORGSU/oai:ir.library.oregonstate.edu:1957/36709 |
| Date | 21 April 1992 |
| Creators | Chen, Hsueh-Jen |
| Contributors | Randhawa, Sabah |
| Source Sets | Oregon State University |
| Language | en_US |
| Detected Language | English |
| Type | Thesis/Dissertation |
Page generated in 0.0018 seconds