29 November 1993 Crosscut optimization of wooden boards based on automated inspection
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Proceedings Volume 2063, Vision, Sensors, and Control for Automated Manufacturing Systems; (1993) https://doi.org/10.1117/12.164954
Event: Optical Tools for Manufacturing and Advanced Automation, 1993, Boston, MA, United States
Abstract
A fully automatic crosscut saw, based on automatic detection of all relevant wood defects, gives completely new opportunities to determine the optimum use of a wooden board. In this paper, a quality model is given to match the requirements of the end products to the quality of the raw material. The quality model is well suited for efficient computer implementation. Furthermore, an optimization procedure based on this model is proposed, giving an integrated system where defect data is input in one end and final cutting lists are output in the other. The procedure is guaranteed to produce optimal cutting lists from the given input data. Tests with real data from a Swedish window manufacturer show that the average output value is 7% higher using this procedure than what is obtained from their existing commercial saw. The procedure is also very efficient. The test shows that it is capable of producing optimal cutting lists for their given product mix within an average 17 ms on an ordinary PC.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Erik Astrand, Erik Astrand, Mikael Ronnqvist, Mikael Ronnqvist, } "Crosscut optimization of wooden boards based on automated inspection", Proc. SPIE 2063, Vision, Sensors, and Control for Automated Manufacturing Systems, (29 November 1993); doi: 10.1117/12.164954; https://doi.org/10.1117/12.164954
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