Mastering Linear Programming for Effective Project Management
School
Georgia Southern University**We aren't endorsed by this school
Course
MATH 1113
Subject
Industrial Engineering
Date
Dec 11, 2024
Pages
2
Uploaded by DrHornet4721
Optimization Techniques for Engineering ProjectManagement SuccessMultiple-Choice Quiz1.What is the primary goal of linear programming in project management?–A) To minimize the total cost of a project.–B) To maximize resource utilization.–C) To enhance team productivity.–D) To optimize the schedule.2.In the context of linear programming, what are decision variables?–A) The parameters that define the constraints of a model.–B) The quantities that need to be determined to achieve the objective.–C) The values that remain constant throughout the optimization process.–D) The final outputs of the optimization model.3.Which of the following best describes an objective function in linear programming?–A) A mathematical expression representing constraints.–B) A function that needs to be maximized or minimized.–C) A graphical representation of the feasible region.–D) A statistical method used to analyze data.4.What is the feasible region in a linear programming problem?–A) The area where all constraints are met.–B) The area that exceeds all constraints.–C) The point where the objective function reaches its maximum.–D) The range of decision variables.5.Which method is commonly used to solve linear programming problems?–A) Simplex Method–B) Gradient Descent–C) Monte Carlo Simulation–D) Euler’s Method6.In project management, why is it important to identify constraints in linear programming?–A) To understand the potential risks in the project.–B) To ensure the project remains within budget.–C) To determine the trade-offs among different project objectives.–D) To simplify the decision-making process.7.How can sensitivity analysis benefit project managers using linear programming?–A) It identifies the best project team.–B) It evaluates how changes in parameters affect the optimal solution.–C) It provides a definitive answer to all project questions.–D) It reduces the complexity of the project scope.8.What does an optimal solution in linear programming indicate?
–A) The best possible outcome under given constraints.–B) The point where all decision variables are zero.–C) A solution that requires no adjustments.–D) A solution that maximizes the number of resources used.9.Which of the following is a limitation of linear programming?–A) It is only applicable to projects with multiple variables.–B) It assumes linear relationships among variables.–C) It cannot handle large datasets.–D) It requires complex mathematical skills.10.What is the significance of the dual problem in linear programming?–A) It provides a more complex version of the original problem.–B) It allows for the exploration of alternative solutions.–C) It offers insights into the shadow prices of constraints.–D) It simplifies the computation of the objective function.Answers:1.A2.B3.B4.A5.A6.C7.B8.A9.B10.C