Optimal Machine Setup and Product Clustering for Printed Circuit Board Manufacturing
نویسندگان
چکیده
In the manufacture of printed circuit boards, electronic components are attached to a blank board by one or more pick-and-place machines. Each machine has component magazines that house replaceable feeders. Since component requirements differ among board types, each change of feeders can improve processing time but indicates a machine setup. We develop an integer programming model for the joint problem of product clustering and machine setup. It is applicable to instances encountered in an electronic assembly environment. A numerical study is included.
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