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Suppose a startup company called Antivirus Mountaineers has developed a test kit for a dangerous virus. Their orders for the next 1 2 months are

Suppose a startup company called Antivirus Mountaineers has developed a test kit for a
dangerous virus. Their orders for the next 12 months are as follows (in million kits): 200,300,
400,400400,500,400,300,300,200,200,200. The executives of the company need to develop
their production schedule for the upcoming year. Assume that the planning horizon is only for the
next 12 months, but at the end of the 12th month the company plans to have 50 million kits in
inventory going into the next planning year. At the beginning of the first year they are starting
from zero test kits in inventory.
The company can produce more than the required number of kits in each month and hold the
surplus to the next month. However, costs of storage in a refrigerated unit are $0.1 per kit per
month. The storage capacity each month is 60 million kits.
Increasing production from one month to the next requires hiring new employees. This increases
production costs by $0.1 per additional kit produced that month relative to the number of units
produced in the previous month. On the other hand, decreasing production from one month to the
next requires laying off employees. Laying off employees also incurs costs, which depend on the
magnitude of the change in production from one month to next. Specifically, each unit reduction
in production volume costs $0.05 per kit for the month when the change in production took place.
Baseline production costs are $0.2 per kit assuming no change in the number of produced kits
relative to the previous month. For example, if the company produced 10 kits in one month and
12 kits in the next month, then in the second month cost of 10 units is $0.2 per unit and cost of 2
additional units is $0.2+$0.1=$0.3 per kit. Similarly, if production decreased from 10 to 8 then in
the second month 8 units are baseline, costing $0.2 per kit. However, the firm also incurs costs of
2*$0.05 for production decrease.
a) Develop a linear programming model to determine the optimal schedule of production for
the next 12 months.

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