Providence Assessment Center screens and trains employees for a computer assembly firm in Boston. The progress of all trainees is tracked, and those not showing the proper progress are moved to less demanding programs. By the tenth repetition, trainees must be able to complete the assembly task in 1 hour or less. Susan has just spent 5 hours on the fourth unit and 4 hours completing her eighth unit, while another trainee, Julie took 4 hours on the third and 3 hours on the sixth unit. Should you encourage either or both of the trainees to continue? Why?

[Hint: For each trainee,

a) Determine the learning rate (%) - use doubling concept.

b) Calculate time for the 1st unit (T1) - use table

c) Calculate time for the 10th Unit (T10) -use table

A, B, and C each need to have a calculation for each Julie and Susan. IE. (answers have to be formatted this way) a.) Julie = __% Susan = __% b.) Julie T1 = __ Hrs Susan T1 = __ Hrs c.) Julie T10 = __ Hrs Susan T10= __ Hrs

%20to%20poop/Desktop/Operations%20Management%20Sustainability%20and%20Supply%20Chain%20Management% + CD Page view A Read aloud T Add text Draw Highlig MODULE E | LEARNING CURVES 781 TABLE E.3 Learning-Curve Coefficients, Where Coefficient C = / (LOG OF LEARNING RATE/LOG 2) 70% 75% 80% 85% 90% UNIT UNIT TOTAL UNIT TOTAL UNIT TOTAL UNIT TOTAL UNIT TOTAL NUMBER TIME CO TIME CO TIME CO. TIME CO- TIME CO TIME CO- TIME CO TIME CO- TIME CO- TIME CO- EFFICIENT EFFICIENT EFFICIENT EFFICIENT (N) EFFICIENT EFFICIENT EFFICIENT EFFICIENT EFFICIENT EFFICIENT 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.700 750 1.750 800 1.800 850 1.850 900 1.900 700 2.268 634 2.384 702 2.502 773 2.623 846 2.746 568 490 2.758 562 2.946 640 3.142 723 3.345 B10 3.556 686 4.339 437 3.195 513 3.459 596 3.738 4.031 783 762 5 101 398 3.593 475 3.934 562 4.299 657 4.688 367 3.960 446 4.380 534 4.834 634 5.322 744 5.845 343 4.303 422 4.802 512 5.346 614 5.936 729 6.574 323 4.626 402 5.204 493 5.839 597 6.533 716 7.290 10 306 4.932 385 5.589 477 6.315 583 7.116 705 7.994 291 5.223 370 5.958 462 6.777 570 7.686 695 8.689 278 5.501 357 6.315 449 7.227 558 8.244 685 9.374 267 5.769 .345 6.660 438 7.665 548 8.792 677 10.052 257 6.026 334 6.994 428 8.092 539 9.331 670 10.721 248 6.274 325 7.319 418 8.511 530 9.861 663 11.384 16 240 6.514 316 7.635 410 8.920 522 10.383 656 12.040 233 5.747 309 7.944 402 9.322 515 10.898 650 12.690 226 6.973 301 8.245 394 9.716 508 11.405 644 13.334 19 220 7.192 295 8.540 388 10. 104 501 11.907 639 13.974 20 214 7.407 288 8.828 381 10.485 495 12.402 634 14.608 25 191 8.404 263 10.191 355 12.309 470 14.801 613 17.713 30 174 9.305 244 11.446 335 14.020 450 17.091 596 20.727 35 160 10.133 229 12.618 .318 15.643 434 19.294 583 23.666 40 .150 10.902 216 13.723 305 17.193 421 21.425 571 26.543 45 141 11.625 206 14.773 294 18.684 410 23.500 561 29.366 50 134 12.307 197 15.7/6 284 20. 122 400 25.513 552 32. 142 Using Table E.3 requires that we know how long it takes to complete the first unit. Yet. what happens if our most recent or most reliable information available pertains to some other unit? The answer is that we must use these data to find a revised estimate for the first unit and then apply the table coefficient to that number. Example E4 illustrates this concept. Example E4 REVISING LEARNING-CURVE ESTIMATES Great Lakes, Inc., believes that unusual circumstances in producing the first boat (see Example E2) imply that the time estimate of 125.000 hours is not as valid a base as the time required to produce the third boat. Boat number 3 was completed in 100.000 hours. It wants to solve for the revised estimate for O 38