Math in the Workplace: Overview

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Math in the Work Place

Math in the Workplace - Algebra

MICRON TECHNOLOGY, INC.,

Semiconductor Manufacturing
Engineer

 

Job Description: Evaluate production lots suspected of quality or reliability issues and ensure lots are held until all concerns have been addressed. Identify the root cause of failure and respond with appropriate corrective actions.
   


Problem:

Micron's manufacturing areas function 24 hours per day, 7 days a week.  Nitride deposition is the capacity bottleneck in the fab. The fab has 3 nitride furnaces and runs the following nitride recipes with total run time per number of wafers run as indicated below:

Recipe # wafers run Total time per run
X 100 3.7 hrs
Y 50 2.3 hrs
Z 100 4.8 hrs

The fab runs the following part types with potential revenue and profit as indicated below:

part type nitride deps potential revenue
per wafer
potential profit
per wafer
required ships
per week
3 X, Y $500 $100 1000
5 Z $300 $  75 1500
7 X, Y, Z $525 $100   500
11 X, Z $475 $125 3000

How many wafer starts of each part type (including the required ships per week) will maximize revenue?

How many wafer starts of each part type (including the required ships per week) will maximize profit?

solution

 

 

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Solution:

Calculate time per wafer per recipe:

tr = time per wafer (each recipe)
hr = hours per run (each recipe)
Wr = number of wafers run (each recipe)

tr = hr

Wr
tX = hX

WX
= 3.7

100
= .037 hrs per wafer (recipe X)
tY = hY

WY
= 2.3

50
= .046 hrs per wafer (recipe Y)
tZ = hZ

WZ
= 4.8

100
= .048 hrs per wafer (recipe Z)

Calculate the time needed per required ship for each part type:

Tp = time per wafer (each part type) 
tp = time per recipe (each part type) 
Sp = ships required per week (each part type) 
Hp = hours per week per required ship (each part type) 

Hp = (S tr) (Sp

H3 = (.037 + .046) = .083 hrs x 1000 = 83.0 hrs per week
H5 = (.048) = .048 hrs x 1500 = 72.0 hrs per week
H7 = (.037 + .046 + .048) = .131 hrs x 500 = 65.5 hrs per week   
H11 = (.037 + .048) = .085 hrs x 3000 = 255.0 hrs per week

Total Required Hours

475.5
hrs per week

Calculate number of hours left to maximize profit/revenue

X= (hrs/day)(days/wk)(furnaces) - required hours
X = 24 x 7 x 3 = 504 - 475.5 = 28.5 extra hours per week

Calculate potential revenue and profit per hour for each part type:

rp = revenue per wafer (each part type)
Rp = revenue per hour (each part type)
pp = profit per wafer (each part type)
Pp = profit per hour (each part type) 

 

Rp =

rp

hp

Pp =

pp

hp

R3 = $500

.083 hrs
= $6,024 revenue per hour   P3 = $100

.083 hrs
= $1,205 profit per hour
R5 = $300

.048 hrs
= $6,250 revenue per hour P5 = $75

.048 hrs
= $1,563 profit per hour
R7 = $525

.131 hrs
= $4,008 revenue per hour P7 = $100

.131 hrs
= $  763 profit per hour
R11 = $475

.085 hrs
= $5,588 revenue per hour P11 = $125

.085 hrs
= $1,471 profit per hour
 

Running part type 5 will maximize revenue and profits from extra capacity.

Calculate the number of extra part type 5 wafers  that can be run in the extra hours:

n =

extra hrs

hrs/wafer

n =

28.5 hrs

.048 hrs/wafer

= 593 additional wafers of part type 5

Number of wafers per part type to

Number of wafer starts of each part type (including required ships) to maximize revenue and profit:

Part Type

wafer starts

3

1,000

5

1500 + 593 = 2,093

7

500

11

3,000