Design Similarity Measures for Process Planning and Design Evaluation
Author(s) -
Jeffrey W. Herrmann,
Gurdip Singh
Publication year - 1997
Publication title -
digital repository at the university of maryland (university of maryland college park)
Language(s) - English
Resource type - Reports
DOI - 10.21236/ada606418
Subject(s) - process (computing) , plan (archaeology) , design for manufacturability , measure (data warehouse) , process design , computer science , similarity (geometry) , design process , engineering design process , similarity measure , work in process , systems engineering , engineering , data mining , artificial intelligence , operations management , programming language , mechanical engineering , archaeology , image (mathematics) , history
: Design engineers and process planners need to search for similar designs. Design engineers use similar designs to estimate a new design's manufacturability. Like process planners, who need to generate process plans before production begins, design engineers can use an existing, similar design's process plan to create a new process plan. Then, they can evaluate the new design. Variant process planning, a common process planning approach, uses a design similarity measure to identify the most similar design and retrieve a useful process plan. However, standard design similarity measures do not explicitly consider the production process. This paper presents an approach for developing a new class of plan-based design similarity measures. Such a measure explicitly exploits process plan similarity and thus improves the variant process planning approach. An example illustrates the approach and compares the new measure and a traditional group technology code-based approach.
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