Sanity checking exercise
You are working on the production planning for a factory over the next 4 months. As inputs, you are given the starting inventory as 100 units, the fixed production costs of running the plant ($US), the unit production costs ($US), the costs for storing inventory ($US), monthly production capacity, and the monthly demand.
All of our input variables are stored in a Pandas DataFrame named d
and it's printed for you in the console. Your goal is to determine if he production line should be on or off, the amount of production, and amount of inventory to meet the monthly demand at the lowest costs.
This exercise is part of the course
Supply Chain Analytics in Python
Hands-on interactive exercise
Turn theory into action with one of our interactive exercises
