In: Operations Management
Weekly demand for private label washing machines at Karstadt, a German department store chain, is normally distributed with a mean of 500 and a standard deviation of 300. Karstadt currently has a supply source in China that delivers machines at a cost of 200 euro. The lead time required by the supplier is normally distributed with a mean of nine weeks and a standard deviation of six weeks. A European supplier has offered to deliver washing machines with a guaranteed lead time of one week at a cost of 210 euro. Karstadt has a holding cost of 25 percent and targets a cycle service level of 99 percent. Should Karstadt accept the local supplier’s offer?
d = average weekly demand = 500, So, annual demand (D) = 500*52
= 26000
s = std. dev. of weekly demand = 300
For the Chinese
supplier (1)
c1 = cost of a machine = 200 euro, so, h1=holding cost per annum =
200 x 25% = 50 euro
t1 = average lead time = 9 weeks
st1 = std. dev. of lead time = 6 weeks
For the European
supplier (2)
c2 = cost of a machine = 210 euro, so, h2=holding cost per annum =
210 x 25% = 52.5 euro
t2 = average lead time = 1 week
st2 = std. dev. of lead time = 0
Assume an ordering cost = S which is same for both the suppliers
EOQ
Q*1 = SQRT(2*26000*S/50) = SQRT(1040*S)
Q*2 = SQRT(2*26000*S/52.5) = SQRT(990.5*S)
Cycle Stock Inventory
Cost
(Q*1/2) x h1 = 25*SQRT(1040*S)
(Q*2/2) x h2 = 26.25*SQRT(990.5*S)
Standard deviation of
lead time demand
sltd1 = SQRT(s2.t1 +
(d.st1)2) = SQRT(300*300*9 + ((500*6)^2)) =
3132.09
sltd2 = SQRT(s2.t2 +
(d.st2)2) = SQRT(300*300*1 + 0) = 300
Safety stock inventory
cost
Z*sltd1*h1 = NORMSINV(0.99)*3132.09*50 = 364317
euro
Z*sltd2*h2 = NORMSINV(0.99)*300*52.5 = 36640 euro
Ordering
cost
(D/Q*1)*S = 26000*S/SQRT(1040*S)
(D/Q*2)*S = 26000*S/SQRT(990.5*S)
Cost of
purchase
D*c1 = 26000*200 = 5200000 euro
D*c2 = 26000*210 = 5460000 euro
We sum up all the costs (note that 'S' is still unknown) for these two suppliers in the following format -
We can now take a fairly large range of 'S' to check the output i.e. the $C$9 cell using the sensitivity analysis. The output is shown below.
Value of 'S' | Min. cost supplier |
1 | European |
200 | European |
400 | European |
600 | European |
800 | European |
1000 | European |
1200 | European |
1400 | European |
1600 | European |
1800 | European |
2000 | European |
2200 | European |
2400 | European |
2600 | European |
2800 | European |
3000 | European |
So, for almost any value of 'S', the European supplier is the best option. So, the orrder may be accepted.