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14.10 Chapter Problems

Chapter Problems

  1. A company has the following demand forecast for the next six months:
Month 1 2 3 4 5 6
Demand (Units) 1200 1500 1800 1600 1400 1300

The company also provides the following operational data:

  • Regular production capacity: 1400 units/month
  • Regular time cost: $12/unit
  • Overtime cost: $18/unit
  • Inventory holding cost: $3/unit/month
  • Hiring cost: $300/worker
  • Layoff cost: $400/worker

Develop an aggregate plan using the chase strategy, level strategy, and a mixed strategy. Calculate the total cost for each strategy and recommend the most suitable option based on cost and operational considerations.

  1. Explain how linear programming can be applied to aggregate planning. Formulate a basic linear programming model for a production planning problem, including an objective function and constraints.
  2. Describe the transportation model. How can it be used to optimize resource allocation in aggregate planning across multiple time periods?
  3. What is the Management Coefficient Model? How does it integrate historical data and managerial judgment in workforce planning?
  4. A company wants to use the Management Coefficient Model to plan its workforce for the next four months. Historical data is provided below:
Month 1 2 3 4 5 6
Demand (Units) 1000 1200 1500 1300 1100 900
Workforce (Employees) 60 70 80 75 65 55
  1. The company’s forecasted demand for the next four months is:
Month 7 8 9 10
Demand (Units) 1400 1600 1300 1100

Use the Management Coefficient Model to estimate the required workforce for each of the next four months.

  1. What are decision rules in the context of aggregate planning? Discuss how they are used to guide production and workforce decisions under uncertainty.
  2. Discuss the unique considerations for aggregate planning in service organizations. How do factors such as non-inventoriable services and customer sensitivity to delays influence planning decisions?

 

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