(Solved):   Apply the rank order clustering technique to the part-machine incidence matrix in th ...

 

Apply the rank order clustering technique to the part-machine incidence matrix in the following table to identify logical part families and machine groups. Answer format: After obtaining the last machine-part matrix, enter your answer according to the following guideline: machine_cell_ \( 1+0+ \) part_family_ \( 1+00+ \) machine_cell_ \( 2+0+ \) part_family_2 \( +00 \) \( +\ldots \ldots .+ \) machine_cell_ \( n+0+ \) part_family_ \( n \) machine_cell_1 \( 1+0+ \) part_family_ \( 1+00+ \) machine_cell_ \( 2+0+ \) part_family_ \( 2+00 \) \( +\ldots \ldots . .+ \) machine_cell_ \( n+0+ \) part_family_ \( n \) For example, for the following matrix: the encoding will be: \[ 31501400420235 . \] Finally, find your obtained encoding in the following table and report its index number (1 to 50 ) as your final answer: \( \begin{array}{lll}21 & 318016900675052700240834 & 56\end{array} \) 760518001830927002540346 \( 22 \quad 320513004780928006150647 \quad 57 \) 780134005120725004630968 \( 23 \quad 341012300620647005870958 \quad 58 \) 810812007360437005420569 \( 24348013800752025600610947 \quad 59 \) 812091700470826005630435 \( 25350128007810379006240546 \quad 60 \) 816014800435072300720569 \( 26351041700872062500460938 \quad 61 \) 816061400230923004750578 \( 27 \quad 356061700871023800420549 \quad 62 \) 820719003640245001750638 \( 28 \quad 360512005480739007210846 \quad 63 \) 821015700370824005460369 \( 29 \quad 362013600841025900750478 \quad 64 \) 824012300153084900760567 \( 30 \quad 367041500528082300140679 \quad 65 \) 835031200416047900720568 \( 31370913004810724002560568 \quad 66 \) 840813007120927005630546 \( 32 \quad 372051700850429004160836 \quad 67 \) 850136001230248004670957 \( 33410125003280734005670 ß 69 \quad 68 \) 851081900764072300320456 \( 34417015900580327002360648 \quad 69 \) 852081900463024500710367 \( 35457081500218032600360947.70 \) 864021400152053800370967