Abstract
The Perrego algorithm, which forms machining cells based upon the weighted importance of the parts which they produce, is presented. Classification and coding (C&C) and production flow analysis (PFA) were synthesized into one single algorithm using similarity coefficients and a cluster identification algorithm to combine the two methods. The resulting unique algorithm's advantage is the utilization of morphological information, such as manufacturing production quantity requirements, with the technological attributes of the parts: cells were formed with minimal amounts of parts travelling between cells. The algorithm also considers the economics of machine duplication for forming independent cells.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
