AOQL


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AOQL

(industrial engineering)
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Calculate the value of the parameters ([i.sub.L], [f.sub.L]) under the given values of AOQL and [AFI.sub.L].
Calculate the value of the parameters (n, [s.sub.0]) under the given values of AOQL and [AFI.sub.L].
The values of n and [s.sub.0] are different for various values of a and [beta] for specified constraints AOQL and [AFI.sub.L].
processes can be done easily using a smaller number of inspection data when the difference between the quality limit [p.sub.IQL] and the quality constraint AOQL becomes larger.
Figures 2-4 show the OC curves to depict a comparison of the optimal scheme with other two AOQL contour inspection schemes in CSP-1.
Based on the quality requirements given by the designer, the tolerance range of the cylinder thickness is set to 27.784 [+ or -] 0.002 and the quality requirement AOQL is set to 0.00018.
The optimal scheme which can simultaneously meet the two constraints AOQL = 0.00018 and [AFI.sub.L] = 0.8571 will be continued.
The sole feasible inspection scheme in CSP-1 for meeting concurrently the quality and cost constraints is one of the AOQL contour schemes in CSP-1, which occurs at the point of [p.sub.L] = [p.sub.IQL].
Caption: Figure 1: Comparisons of the curves of (a) AOQ and (b) AFI between ([i.sub.L], [f.sub.L]) and other two types of the AOQL contour schemes.
Caption: Figure 2: Comparisons of OC curves for the optimal schemes and inspection schemes in CSP-1 under AOQL = 0.00018 (a) at [AFI.sub.L] = 0.6667, (b) at [AFI.sub.L] = 0.8, and (c) at [AFI.sub.L] = 0.8571.
Caption: Figure 3: Comparisons of OC curves for the optimal schemes and inspection schemes in CSP-1 under AOQL = 0.00143 (a) at [AFI.sub.L] = 0.6667, (b) at [AFI.sub.L] = 0.8, and (c) at [AFI.sub.L] = 0.8571.