Review data for case study
Assume the case study data is from a car manufacture optimizing its Supply Chain network across five regions (i.e. USA, Germany, Japan, Brazil, and India). You are given the demand, manufacturing capacity (thousands of cars) for each region, and the variable and fixed costs (thousands of $US dollars). Four Pandas DataFrames demand
, var_cost
, fix_cost
, and cap
have been created for you, and printed in the console, containing the regional demand, variable production costs, fixed production costs, and production capacity. The var_cost
shows the costs of producing in location i shipping to location j. Which statement is true based on the data.
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
