Research

year 1988 
author Jaeyoon Kim 
Keyword MPGF, FMS planning 
Abstract The machine-part group formation( MPGF ) problem arises frequently in FMS planning. By viewing the problem as one of finding good assignments, a powerful solution algorithm is presented. The new algorithm solves the threshold dilemma found in solution procedures employing similarity coefficients. It also compared favorably with other existing MPGF algorithms by finding minimum exceptional elements for the tested problems. Furthermore the new algorithm can solve dynamic and more realistic MPGF problems by considering production volumes or costs. Such diverse machine-part relationship values were not considered in previous MPGF studies, which included 0, 1 incidence values. An example problem is solved where production volumes are the elements of MPGF incidence matrix. 
c MS 

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