In: Operations Management
Cars arrive at Hungry Fredrik’s drive-through window on a Saturday’s morning. Cars which are waiting for the order have to stay on the drive way; each car leaves the drive way immediately after receiving its order. The input and throughput rates (in terms of number of cars) between 7am-12pm are displayed in the following table.
Time (hour) |
Input (cars) |
Throughput (cars) |
End-Period Inventory (cars) |
7-8 |
5 |
5 |
0 |
8-9 |
11 |
11 |
0 |
9-10 |
18 |
12 |
6 |
10-11 |
11 |
12 |
5 |
11-noon |
9 |
12 |
2 |
(a) Suppose there are no cars on the drive way at 7am. Please fill up the “End-Period Inventory” in the last column and plot the inventory build-up diagram below. (b) On average, how many cars are waiting on the drive-way between 7am-12pm? (c) What is the “OM triangle”? Why can demand forecasting be critical in inventory management? Explain your answer.
Demand forecasting plays a
critical role in inventory
management. If you can accurately predict the future
demand of products in your
warehouse, you can ensure you hold the correct
stock to maximise sales potential and profit.
However, producing an accurate inventory demand
forecast is no mean feat.
For enterprises, demand forecasting allows for
estimating how many goods or services will sell and how much
inventory needs to be ordered. Demand forecasting
lays the foundation for many other critical
business assumptions such as turnover, profit margins, cash flow,
capital expenditure, and capacity planning.
It can also led to bullwhip effect. The bullwhip effect is a
distribution channel phenomenon in which forecasts yield supply
chain inefficiencies. It refers to increasing swings in inventory
in response to shifts in customer demand as one moves further up
the supply chain.