Question 4
M M uses just-in-time (JIT) production in its Oil Production Division.
The long-term demand for oil is usually predictable, and production is reliable unless major problems occur. In 2020, however, there was an unexpected decrease in demand for oil. Uncertainties in the world economy and responses to climate change now make predictions more difficult.
M M has prepared a sales forecast for its oil production for 2022 and 2023 (Table 2).

Table 2: Sales forecast for oil production for 2022 and 2023 (millions of barrels)
§ calculated using a four-quarter moving average based on six years of historic data
† calculated by comparing actual sales with a four-quarter moving average
In 2020, M M had some major problems:
- A catastrophic fire occurred at one of its oilfields.
- The gold mine in Egypt collapsed, trapping 23 miners.
- It experienced a cyber-attack on its computer network.
- An earthquake in Chile damaged the country's transport system.
In response to these problems, M M had to rely on its contingency planning and its crisis management procedures.
JG Mining (JG) wants to buy MM's tar sands mining operation for $50 million, but the board of directors are divided. MM recently invested $15 million in their tar sands operation in addition to the original $ 30 million set-up cost in 1986 . Production is at designed capacity, and, although the long-term average rate of return (ARR) for the tar sands operation is below those of most of MM's other investments, it provides a reliable source of income. However, M M has difficulty selling sulphur, a by-product of tar sands production.
Employees at the tar sands operation are against selling the operation to JG. However, the income from the sale would help M M finance other investments, such as lithium mining, and the sale could help improve MM's corporate image. MM's Finance Director, Ethan, estimates that the net present value (NPV) of the tar sands operation is $46 million.
Question 4(b)
With reference to Table 2, explain one benefit and one limitation for M M of using sales forecasting.


