Question: A contract manufacturer has identified two customer segments for its production capacity - one willing to place an order more than one week in advance

A contract manufacturer has identified two customer segments for its production capacity -
one willing to place an order more than one week in advance and the other willing to pay a
higher price as long as it can provide less than one week's notice for production. The
customers that are unwilling to commit in advance are less price sensitive; their expected
demand under a price p equals 5000-20p. Customers willing to commit in advance are
more price sensitive; their expected demand under a price p equals 5000-40p. Production
cost is c=$10 per unit.
Analyze the optimal pricing strategies under the following three scenarios. Show your
calculation steps.
Assume there is no capacity constraint. If the contract manufacturer were to charge a
single price over both segments, what should the optimal price (i.e., the price that
maximizes the expected profit) be?
Assume there is no capacity constraint. What price should the contract manufacturer
charge each segment if it adopts differential pricing? How much increase in profits does
differential pricing provide?
If total production capacity is limited to 4,000 units, what should the contract
manufacturer charge each segment under differential pricing? Solve this problem using an
optimization model. (i) Write down the optimization model formulation. (ii) Then solve it
with Excel Solver. Provide the following three screenshots of your workbook:
One screenshot of the main body of the spreadsheet with the "formula view" where
the cells show the formulas that you have implemented in them. To switch to the
"formula view" of the cells, go to the Formulas tab > Formula Auditing group and click
the Show Formulas button
One screenshot of the Solver Menu settings
One screenshot of the answer report generated by Solver, with the optimal price
solutions highlighted.
 A contract manufacturer has identified two customer segments for its production

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