By R. H. Mole

ISBN-10: 040801590X

ISBN-13: 9780408015905

Publication by way of Mole, Richard H.

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N N ; prints the equation t = al^ + tau, together with the coefficient of determination cd. P R O C e s t i m a t e : allows the user to estimate the assembly time for the Ith assembly. FNavtime(i): generates the average assembly time of the first i assemblies t(i) = 1/1ΣΤ(Ι) from the actual assembly times T(I) for I = 1,2,. ,i. 2 LCURVE: 10 20 30 40 50 60 70 80 90 100 110 120 130 140 150 1000 1010 1020 1030 1040 1050 106 0 1070 1080 1090 1100 2000 2010 2020 2030 2040 2050 2060 207Ifl 2080 2090 2100 2110 2120 2130 2140 2150 2160 2170 Learning curve regression REM LCURVE REM LEARNING CURVE REGRESSION REM LOG-LOG TRANSFORMATION ON REM AVERAGE TIME AND COMPONENT NUMBER REM REQUIRES ACTUAL TIME FOR REM COMPONENTS N o s 1 TO NN DIM C ( 1 0 0 ) , T ( 1 0 0 ) ,N(100),t(100) @%=&02020A PROCinput PROCiterate PROCprint PROCestimate END DEF PROCinput INPUT "MAX N O COMPONENTS";NN PRINT PRINT "COMPONENT ACTUAL" PRINT "NUMBER TIME" FOR 1= 1 TO NN PRINT T A B ( 4 ) ; I ; T A B ( 1 4 ) ; r I N P U T t(I)=FNavtime(I) NEXT I ENDPROC Τ(I) DEF P R O C p a r a m e t e r s SIGMAC=0 : SIGMAN=0 FOR 1= 1 TO NN SIGMAC=SIGMAC+C(I) SIGMAN=SIGMAN+N(I) NEXT I CBAR=SIGMAC/NN : NBAR=SIGMAN/NN NUM=0 : DENOM=0 : CD=0 FOR 1= 1 TO NN NUM=NUM+( N ( I ) - N B A R ) * { C ( I ) - C B A R ) DENOM=DENOM+( N ( I ) - N B A R ) * { N ( I ) - N B A R CD=CD+( C ( I ) - C B A R ) * ( C ( I ) - C B A R ) NEXT I V= NUM/DENOM F =CBAR-V*NBAR CD=NUM*V/CD ENDPROC ) 43 3000 3010 3020 3030 3040 3050 3060 307 0 3080 3090 3100 3110 4000 4010 40 20 4030 4040 4050 406 0 407Μ 4080 4090 4100 4110 5000 5010 5020 5030 5040 5050 506 0 5 0 7 Ii 5080 509» 6000 6010 6020 6030 6040 6 050 DEF P R O C i t e r a t e cd=0 S=T(NN)/50 FOR TAU=0 TO Τ(NN) STEP S FOR 1= 1 TO NN C(I)=LOG( t ( I ) - T A ü ) : N ( I ) = L O G ( I ) NEXT I PROCparameters I F CD>ccl THEN cd=CD : t a u = T A U : a = 1 0 ' ' F NEXT TAÜ ENDPROC : b=V DEF P R O C p r i n t PRINT PRINT " COMPONENT AVERAGE ESTIMATED RESIDUAL" PRINT " NUMBER TIME TIME" FOR 1= 1 TO NN PRINT l , t ( l ) , a * l ' ' b + t a u , t ( I ) - a * I ' ' b - t a u NEXT I PRINT :PRINT "COEFF OF DETERMINATION " ; c d * 1 0 0 PRINT : PRINT "BEST F I T LEARNING CURVE " PRINT a ; " * I ' ' " ?

T h e piecewise Unear production cost C in the foUowing numerical example arises from the aggregation of linear energy costs C^, and piecewise linear labour costs C^, machining costs and raw material costs C ^ . T h e energy cost is a directly variable cost. The labour cost results from an initial training and famiUarization cost, and a marginal cost rate which increases once overtime working becomes necessary to produce large batches. T h e machining cost consists of a constant marginal cost per unit of output plus periodic set-up costs incurred every so many units.

T h e way in which the annual Family E x p e n d i t u r e Surveys are utilized to derive and u p d a t e the weights can be somewhat complicated, and t h e calculations of the sub-indices are often in chain index form. 1 S I M P R E L from D A T A statements as an alternative, which can be exercised at the user's discretion, to conversational data input in PROCinput. 2) Devise a P R O C e d i t to be called at line 65. This p r o c e d u r e should allow the user to alter any part of the input data.

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