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- W1520321586 abstract "In manufacturing practice, actual dimensions are impossible as well as unnecessary to determine exact values. Under stable fabrication conditions, the processed dimensions often vary within certain controlled ranges. Tolerances are specified to control the actual dimensions of processed features within allowable variation zones for product functional requirements and manufacturing costs (Zhang, 1996; Ngoi and Teck, 1997; Lee and Tang, 2000; Fang and Wu, 2000; Huang et al., 2001; Huang and Gao, 2003; Chen et al., 2003). The contemporary practice of tolerance design has two sequential phases: Product tolerance design and process tolerance design (Ngoi and Teck, 1997). In product tolerance design, designers use their knowledge and expertise to determine the assembly critical tolerances by computation or design handbooks. These tolerances will then be allocated to component design tolerances (blueprint tolerances) in terms of component structures, assembly restrictions, and given design criteria. If a mathematical model is used, the objective function is usually to minimize manufacturing costs or to maximize weighted component tolerances. The constraints are often tolerance stack-up and economical tolerance ranges of each component part (Swift et al., 1999; Ngoi and Min, 1999; Ngoi and Ong, 1999; Huang and Gao, 2002). Swift et al (1999) presented a tolerance optimization model in assembly stacks based on capacity design. In their research, systematic analysis for estimating process capability levels at the design stage is used in conjunction with statistical methods for optimization of tolerances in assembly stacks. Ngoi and Min (1999) presented a new approach for optimum tolerance allocation in assembly. Their method allows all blueprint (BP) tolerances to be determined while ensuring that all as-" @default.
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- W1520321586 date "2006-07-01" @default.
- W1520321586 modified "2023-10-16" @default.
- W1520321586 title "Concurrent Process Tolerancing Based on Manufacturing Cost And Quality Loss" @default.
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- W1520321586 doi "https://doi.org/10.5772/5060" @default.
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