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Download A Study of the Toyota Production System: From an Industrial by Shigeo Shingo, Andrew P. Dillon PDF

By Shigeo Shingo, Andrew P. Dillon

This is Dr. Shingo's vintage business engineering reason for the concern of process-based over operational advancements for production. He explains the fundamental mechanisms of the Toyota creation procedure in a pragmatic and easy manner that you can practice them on your personal plant. This e-book clarifies the basic rules of JIT together with leveling, ordinary paintings methods, multi-machine dealing with, and extra.

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4, all individual hairs on the yarn surface have been well identified. In this method, the segmentation process of the yarn core was simple and physically reasonable. However, it was based on row-wise straight scanning, so the variations in the thickness of the yarn core may not be well identified. , 2006). yarn length. In each zone, the length of yarn under analysis should be short enough so that the yarn thickness variation in this short range can be ignored. , 2006) with only minor modifications, as shown in Fig.

We used the following algorithm to implement the dual-side imaging technology: (1) locating the reference point, meaning locating all the reference points on the top and bottom plates; (2) affine transform to find the corresponding reference points on both plates; (3) merging the image pairs by transiting, scaling and rotating the images; and (4) image cropping to remove the boundaries of the merged image, only the fabric image patch inside the sampling windows being reserved. The dual-side sampling is helpful in improving the accuracy of yarn location, AGM self-adjustment and error correction.

In the standard test method presented in ASTM D2255–02 (2007), a yarn specimen is continuously wound onto a rectangular or trapezoidal black board in a specified length to allow the side-by-side comparison of a number of relatively short lengths of yarn. The board covered with the wound yarn is then examined and a visual appraisal of appearance is made based on the fuzziness, irregularity and visible foreign matter. Traditionally, the inspection is carried out by direct observation in which a skilled specialist visually compares the wound table with photographic standards labelled in Grades A, B, C and D, and then judges the quality of the yarn sample according to the standard definition.

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