
Introduction to Management Science 12th Edition by Bernard Taylor
Edition 12ISBN: 978-0133778847
Introduction to Management Science 12th Edition by Bernard Taylor
Edition 12ISBN: 978-0133778847 Exercise 11
Assume that the objective function in Problem has been changed from Z = 30 x 1 + 70 x 2 to Z = 90 x 1 + 70 x 2. Determine the slope of each objective function and discuss what effect these slopes have on the optimal solution.
Problem
A manufacturing firm produces two products. Each product must undergo an assembly process
and a finishing process. It is then transferred to the warehouse, which has space for only a limited number of items. The firm has 80 hours available for assembly and 112 hours for finishing, and it can store a maximum of 10 units in the warehouse. Each unit of product 1 has a profit of $30 and requires 4 hours to assemble and 14 hours to finish. Each unit of product 2 has a profit of $70 and requires 10 hours to assemble and 8 hours to finish. The firm wants to determine the quantity of each product to produce in order to maximize profit.
a. Formulate a linear programming model for this problem.
b. Solve this model by using graphical analysis
Problem
A manufacturing firm produces two products. Each product must undergo an assembly process
and a finishing process. It is then transferred to the warehouse, which has space for only a limited number of items. The firm has 80 hours available for assembly and 112 hours for finishing, and it can store a maximum of 10 units in the warehouse. Each unit of product 1 has a profit of $30 and requires 4 hours to assemble and 14 hours to finish. Each unit of product 2 has a profit of $70 and requires 10 hours to assemble and 8 hours to finish. The firm wants to determine the quantity of each product to produce in order to maximize profit.
a. Formulate a linear programming model for this problem.
b. Solve this model by using graphical analysis
Explanation
Linear Programming is a mathematical mod...
Introduction to Management Science 12th Edition by Bernard Taylor
Chapter 1: Management Science 
Free
Chapter 2: Linear Programming: Model Formulation and Graphical Solution 
Chapter 3: Linear Programming: Computer Solution and Sensitivity Analysis 
Chapter 4: Linear Programming: Modeling Examples 
Chapter 5: Integer Programming 
Chapter 6: Transportation, Transshipment, and Assignment Problems 
Chapter 7: Network Flow Models 
Chapter 8: Project Management 
Chapter 9: Multicriteria Decision Making 
Chapter 10: Nonlinear Programming 
Chapter 11: Probability and Statistics 
Chapter 12: Decision Analysis 
Chapter 13: Queuing Analysis 
Chapter 14: Simulation 
Chapter 15: Forecasting 
Chapter 16: Inventory Management
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