Quantitative Analysis for Management 14e Chapter 07- Linear Programming Models Graphical a, Exams of Quantitative Techniques

Quantitative Analysis for Management 14e Chapter 07- Linear Programming Models Graphical and Computer Methods Test Banks Practice Questions And Answers 2025/2026 Update!!!

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Quantitative Analysis for Management 14e -
Chapter 07 - Linear Programming Models -
Graphical and Computer Methods Test Banks
Practice Questions And Answers 2025/2026
Update!!!
34) How does a kanban system help identify bottlenecks and production problems?
Answer: Production bottlenecks and problems can be uncovered by reducing the amount of
inventory in the system. Inventory is often used to cover these problems by using it as a buffer
between adjacent operations. Many production managers remove containers and their associated
P-kanbans from the kanban system in order to "starve" the production line to uncover bottlenecks
and potential problems. When the production line stops or is starved for inventory, the problem
area is quickly located.
Diff: Moderate
Topic: JUST-IN-TIME INVENTORY CONTROL
LO: 6.11: Discuss just-in-time inventory concepts to reduce inventory levels and costs.
AACSB: Analytical thinking
Classification: Concept
35) Briefly describe the progression from MRP to ERP systems.
Answer: Over the years, MRP has evolved to include not only the materials required in
production but also the labor hours, material cost, and other resources related to production. When
approached in this fashion, the term MRP II is often used, and the word resource replaces the word
requirements. As this concept evolved and sophisticated computer software programs were
developed, these systems were called enterprise resource planning (ERP) systems. The objective
of an ERP system is to reduce costs by integrating all of the operations of a firm. This starts with
the supplier of the materials needed and flows through the organization to include invoicing the
customer for the final product. Data are entered once into a database, and then these data can be
quickly and easily accessed by anyone in the organization.
Diff: Moderate
Topic: ENTERPRISE RESOURCE PLANNING
LO: 6.12: Discuss enterprise resource planning systems.
AACSB: Analytical thinking
Classification: Concept
36) What are the potential benefits and detriments of an ERP implementation?
Answer: The benefits of a well-developed ERP system are reduced transaction costs and
increased speed and accuracy of information. However, there are drawbacks as well. The software
is expensive to buy and costly to customize. The implementation of an ERP system may require a
company to change its normal operations, and employees are often resistant to change. Also,
training employees on the use of the new software can be expensive.
Diff: Moderate
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Download Quantitative Analysis for Management 14e Chapter 07- Linear Programming Models Graphical a and more Exams Quantitative Techniques in PDF only on Docsity!

Quantitative Analysis for Management 14e -

Chapter 07 - Linear Programming Models -

Graphical and Computer Methods Test Banks

Practice Questions And Answers 2025/

Update!!!

  1. How does a kanban system help identify bottlenecks and production problems? Answer: Production bottlenecks and problems can be uncovered by reducing the amount of inventory in the system. Inventory is often used to cover these problems by using it as a buffer between adjacent operations. Many production managers remove containers and their associated P-kanbans from the kanban system in order to "starve" the production line to uncover bottlenecks and potential problems. When the production line stops or is starved for inventory, the problem area is quickly located. Diff: Moderate Topic: JUST-IN-TIME INVENTORY CONTROL LO: 6.11: Discuss just-in-time inventory concepts to reduce inventory levels and costs. AACSB: Analytical thinking Classification: Concept
  2. Briefly describe the progression from MRP to ERP systems. Answer: Over the years, MRP has evolved to include not only the materials required in production but also the labor hours, material cost, and other resources related to production. When approached in this fashion, the term MRP II is often used, and the word resource replaces the word requirements. As this concept evolved and sophisticated computer software programs were developed, these systems were called enterprise resource planning (ERP) systems. The objective of an ERP system is to reduce costs by integrating all of the operations of a firm. This starts with the supplier of the materials needed and flows through the organization to include invoicing the customer for the final product. Data are entered once into a database, and then these data can be quickly and easily accessed by anyone in the organization. Diff: Moderate Topic: ENTERPRISE RESOURCE PLANNING LO: 6.12: Discuss enterprise resource planning systems. AACSB: Analytical thinking Classification: Concept
  3. What are the potential benefits and detriments of an ERP implementation? Answer: The benefits of a well-developed ERP system are reduced transaction costs and increased speed and accuracy of information. However, there are drawbacks as well. The software is expensive to buy and costly to customize. The implementation of an ERP system may require a company to change its normal operations, and employees are often resistant to change. Also, training employees on the use of the new software can be expensive. Diff: Moderate

Topic: ENTERPRISE RESOURCE PLANNING LO: 6.12: Discuss enterprise resource planning systems. AACSB: Analytical thinking Classification: Concept Quantitative Analysis for Management, 14e (Render) Chapter 7 Linear Programming Models: Graphical and Computer Methods 7.1 True/False

  1. Management resources that need control include machinery usage, labor volume, money spent,
  1. One type of LP formulation typically requires finding the maximum value of an objective like profit, while simultaneously minimizing the usage of the resource constraints. Answer: TRUE Diff: Moderate Topic: FORMULATING LP PROBLEMS LO: 7.2: Formulate a linear programming problem algebraically. AACSB: Analytical thinking Classification: Concept
  2. The graphical method to solve a LP problem can handle a maximum of two decision variables. Answer: TRUE Diff: Easy Topic: GRAPHICAL SOLUTION TO AN LP PROBLEM LO: 7.3: Graphically solve any LP problem that has only two variables by both the corner point and the isoprofit line methods. AACSB: Analytical thinking Classification: Concept
  3. The objective of finding the minimum cost to a LP problem is often modeled as constraints. Answer: FALSE Diff: Easy Topic: REQUIREMENTS OF A LINEAR PROGRAMMING PROBLEM LO: 7.1: Identify the basic assumptions and properties of linear programming (LP). AACSB: Analytical thinking Classification: Concept
  4. One of the assumptions of LP is "uncertainty." Answer: FALSE Diff: Moderate Topic: REQUIREMENTS OF A LINEAR PROGRAMMING PROBLEM LO: 7.1: Identify the basic assumptions and properties of linear programming (LP). AACSB: Analytical thinking Classification: Concept
  5. The set of solution points that satisfies all of a linear programming problem's objective functions simultaneously is defined as the feasible region in graphical linear programming. Answer: FALSE Diff: Moderate Topic: GRAPHICAL SOLUTION TO AN LP PROBLEM LO: 7.3: Graphically solve any LP problem that has only two variables by both the corner point and the isoprofit line methods. AACSB: Analytical thinking Classification: Concept
  1. An objective function is part of all linear programming problems. Answer: TRUE Diff: Easy Topic: REQUIREMENTS OF A LINEAR PROGRAMMING PROBLEM LO: 7.1: Identify the basic assumptions and properties of linear programming (LP). AACSB: Analytical thinking Classification: Concept
  2. In some instances, an infeasible solution may be the optimum found by the corner point method. Answer: FALSE Diff: Moderate Topic: GRAPHICAL SOLUTION TO AN LP PROBLEM LO: 7.3: Graphically solve any LP problem that has only two variables by both the corner point and the isoprofit line methods. AACSB: Analytical thinking Classification: Concept
  3. The divisibility assumption implies that solutions need not be in whole numbers (integers). Answer: TRUE Diff: Moderate Topic: REQUIREMENTS OF A LINEAR PROGRAMMING PROBLEM LO: 7.1: Identify the basic assumptions and properties of linear programming (LP). AACSB: Analytical thinking Classification: Concept
  4. The solution to a linear programming problem must lie at one of the corner points in the feasible region. Answer: TRUE Diff: Moderate Topic: GRAPHICAL SOLUTION TO AN LP PROBLEM LO: 7.3: Graphically solve any LP problem that has only two variables by both the corner point and the isoprofit line methods. AACSB: Analytical thinking Classification: Concept
  5. In a linear program, both the constraints and the objective function must be linear. Answer: TRUE Diff: Moderate Topic: REQUIREMENTS OF A LINEAR PROGRAMMING PROBLEM LO: 7.1: Identify the basic assumptions and properties of linear programming (LP). AACSB: Analytical thinking Classification: Concept
  1. Any time that we have an isoprofit line that is parallel to a constraint, there will always be only one possible solution. Answer: FALSE Diff: Moderate Topic: FOUR SPECIAL CASES IN LP LO: 7.6: Understand special issues in LP such as infeasibility, unboundedness, redundancy, and alternative optimal solutions. AACSB: Analytical thinking Classification: Concept
  2. If the isoprofit line is not parallel to a constraint, then we always have the possibility of multiple solutions. Answer: FALSE Diff: Moderate Topic: FOUR SPECIAL CASES IN LP LO: 7.6: Understand special issues in LP such as infeasibility, unboundedness, redundancy, and alternative optimal solutions. AACSB: Analytical thinking Classification: Concept
  3. Lack of feasible solution region can occur if constraints conflict with one another. Answer: TRUE Diff: Moderate Topic: FOUR SPECIAL CASES IN LP LO: 7.6: Understand special issues in LP such as infeasibility, unboundedness, redundancy, and alternative optimal solutions. AACSB: Analytical thinking Classification: Concept
  4. A redundant constraint is one that does not affect the feasible solution region. Answer: TRUE Diff: Moderate Topic: FOUR SPECIAL CASES IN LP LO: 7.6: Understand special issues in LP such as infeasibility, unboundedness, redundancy, and alternative optimal solutions. AACSB: Analytical thinking Classification: Concept
  5. Sensitivity analysis enables us to look at the effects of changing the coefficients of the constraints, one at a time. Answer: FALSE Diff: Moderate Topic: SENSITIVITY ANALYSIS LO: 7.7: Understand the role of sensitivity analysis. AACSB: Analytical thinking Classification: Concept
  1. In a minimization problem, the isocost line is used rather than an isoprofit line. Answer: TRUE Diff: Moderate Topic: SOLVING MINIMIZATION PROBLEMS LO: 7.5: Understand the difference between minimization and maximization objective functions. AACSB: Analytical thinking Classification: Concept
  2. Unlike a maximization problem, a two-variable minimization problem may not be solved graphically. Answer: FALSE Diff: Easy Topic: SOLVING MINIMIZATION PROBLEMS LO: 7.5: Understand the difference between minimization and maximization objective functions. AACSB: Analytical thinking Classification: Concept
  3. In a minimization problem, the isocost line slides up and to the right through a feasible region to reflect decreasing costs. Answer: FALSE Diff: Moderate Topic: SOLVING MINIMIZATION PROBLEMS LO: 7.5: Understand the difference between minimization and maximization objective functions. AACSB: Analytical thinking Classification: Concept
  4. When using Solver to find a solution for an LP problem, the left-hand side of your constraints must be a formula calculated using the cells containing the decision variables. Answer: TRUE Diff: Moderate Topic: SOLVING FLAIR FURNITURE'S LP PROBLEM USING QM FOR WINDOWS AND EXCEL 2016 AND EXCEL QM LO: 7.4: Use Excel spreadsheets to solve LP problems. AACSB: Analytical thinking Classification: Concept
  1. A feasible solution to a linear programming problem A) must be a corner point of the feasible region. B) must satisfy all of the problem's constraints simultaneously. C) need not satisfy all of the constraints, only the non-negativity constraints. D) must give the maximum possible profit. Answer: B Diff: Moderate Topic: GRAPHICAL SOLUTION TO AN LP PROBLEM LO: 7.3: Graphically solve any LP problem that has only two variables by both the corner point and the isoprofit line methods. AACSB: Analytical thinking Classification: Concept
  2. Infeasibility in a linear programming problem occurs when A) a constraint is redundant. B) more than one solution is optimal. C) the feasible region is unbounded. D) there is no solution that satisfies all the constraints given. Answer: D Diff: Moderate Topic: FOUR SPECIAL CASES IN LP LO: 7.6: Understand special issues in LP such as infeasibility, unboundedness, redundancy, and alternative optimal solutions. AACSB: Analytical thinking Classification: Concept
  3. In a maximization problem, when one or more of the solution variables and the profit can be made infinitely large without violating any constraints, the linear program has A) an infeasible solution. B) an unbounded solution. C) a redundant constraint. D) alternate optimal solutions. Answer: B Diff: Moderate Topic: FOUR SPECIAL CASES IN LP LO: 7.6: Understand special issues in LP such as infeasibility, unboundedness, redundancy, and alternative optimal solutions. AACSB: Analytical thinking Classification: Concept
  1. Which of the following is not a part of every linear programming problem formulation? A) an objective function B) a set of constraints C) non-negativity constraints D) a redundant constraint Answer: D Diff: Moderate Topic: REQUIREMENTS OF A LINEAR PROGRAMMING PROBLEM LO: 7.1: Identify the basic assumptions and properties of linear programming (LP). AACSB: Analytical thinking Classification: Concept
  2. When appropriate, the optimal solution to a maximization linear programming problem can be found by graphing the feasible region and A) finding the profit at every corner point of the feasible region to see which one gives the highest value. B) moving the isoprofit lines towards the origin in a parallel fashion until the last point in the feasible region is encountered. C) locating the point that is highest on the graph. D) sliding the constraints to find the greatest point of intersection. Answer: A Diff: Moderate Topic: GRAPHICAL SOLUTION TO AN LP PROBLEM LO: 7.3: Graphically solve any LP problem that has only two variables by both the corner point and the isoprofit line methods. AACSB: Analytical thinking Classification: Concept
  3. The mathematical theory behind linear programming states that an optimal solution to any problem will lie at a(n) of the feasible region. A) interior point or center B) maximum point or minimum point C) corner point or extreme point D) interior point or extreme point Answer: C Diff: Easy Topic: GRAPHICAL SOLUTION TO AN LP PROBLEM LO: 7.3: Graphically solve any LP problem that has only two variables by both the corner point and the isoprofit line methods. AACSB: Analytical thinking Classification: Concept
  1. The simultaneous equation method is A) an alternative to the corner point method. B) useful only in minimization methods. C) an algebraic means for solving the intersection of two or more constraint equations. D) useful only when more than two product variables exist in a product mix problem. Answer: C Diff: Moderate Topic: GRAPHICAL SOLUTION TO AN LP PROBLEM LO: 7.3: Graphically solve any LP problem that has only two variables by both the corner point and the isoprofit line methods. AACSB: Analytical thinking Classification: Concept
  2. Consider the following linear programming problem: Maximize 5X + 8Y Subject to: 2X + 6Y ≤ 600 2X + 3Y ≤ 420 all variable ≥ 0 The maximum possible value for the objective function is A) 480. B) 600. C) 860. D) 1080. Answer: D Diff: Difficult Topic: GRAPHICAL SOLUTION TO AN LP PROBLEM LO: 7.3: Graphically solve any LP problem that has only two variables by both the corner point and the isoprofit line methods. AACSB: Analytical thinking Classification: Application
  1. Consider the following linear programming problem: Maximize 4X + 10Y Subject to: 3X + 4Y ≤ 480 4X + 2Y ≤ 360 all variable ≥ 0 The feasible corner points are (48,84), (0,120), (0,0), (90,0). What is the maximum possible value for the objective function? A) 1032 B) 1200 C) 360 D) 1600 Answer: B Diff: Moderate Topic: GRAPHICAL SOLUTION TO AN LP PROBLEM LO: 7.3: Graphically solve any LP problem that has only two variables by both the corner point and the isoprofit line methods. AACSB: Analytical thinking Classification: Application
  2. Consider the following linear programming problem: Maximize 8X + 5Y Subject to: 6X + 4Y ≤ 600 2X + 3Y ≤ 150 all variable ≥ 0 Which of the following points (X,Y) is not a feasible corner point? A) (0,75) B) (50,0) C) (0,0) D) (150,0) Answer: D Diff: Moderate Topic: GRAPHICAL SOLUTION TO AN LP PROBLEM LO: 7.3: Graphically solve any LP problem that has only two variables by both the corner point and the isoprofit line methods. AACSB: Analytical thinking Classification: Application
  1. Two models of a product – Regular (X) and Deluxe (Y) – are produced by a company. A linear programming model is used to determine the production schedule. The formulation is as follows: Maximize profit = 50X + 60Y Subject to: 8X + 10Y ≤ 800 (labor hours) X + Y ≤ 120 (total units demanded) 4X + 5Y ≤ 500 (raw materials) all variable ≥ 0 The optimal solution is X = 100, Y = 0. Which of these constraints is redundant? A) the first constraint B) the second constraint C) the third constraint D) the fourth constraint Answer: B Diff: Difficult Topic: FOUR SPECIAL CASES IN LP LO: 7.6: Understand special issues in LP such as infeasibility, unboundedness, redundancy, and alternative optimal solutions. AACSB: Analytical thinking Classification: Application
  2. Consider the following linear programming problem: Maximize 50X + 25Y Subject to: 6X + 3Y ≤ 600 2X + 5Y ≤ 200 X, Y ≥ 0 What is the optimum solution to this problem (X,Y)? A) (0,0) B) (0,50) C) (100,0) D) (400,0) Answer: C Diff: Difficult Topic: GRAPHICAL SOLUTION TO AN LP PROBLEM LO: 7.3: Graphically solve any LP problem that has only two variables by both the corner point and the isoprofit line methods. AACSB: Analytical thinking Classification: Application
  1. Consider the following linear programming problem: Maximize 20X + 30Y Subject to: X + Y ≤ 80 8X + 9Y ≤ 600 3X + 2Y ≥ 400 X, Y ≥ 0 This is a special case of a linear programming problem in which A) there is no feasible solution. B) there is a redundant constraint. C) there are multiple optimal solutions. D) this cannot be solved graphically. Answer: A Diff: Difficult Topic: GRAPHICAL SOLUTION TO AN LP PROBLEM LO: 7.3: Graphically solve any LP problem that has only two variables by both the corner point and the isoprofit line methods. AACSB: Analytical thinking Classification: Application
  2. Which of the following is an acceptable as a constraint in a linear programming problem (maximization)? Constraint 1 X + XY + Y ≥ 12 Constraint 2 X - 2Y^2 ≤ 20 Constraint 3 X + 3Y = 48 Constraint 4 X + Y + YZ ≤ 150 A) Constraint 1 B) Constraint 2 C) Constraint 3 D) Constraint 4 Answer: C Diff: Moderate Topic: REQUIREMENTS OF A LINEAR PROGRAMMING PROBLEM LO: 7.1: Identify the basic assumptions and properties of linear programming (LP). AACSB: Analytical thinking Classification: Application
  1. If the addition of a constraint to a linear programming problem does not change the solution, the constraint is said to be A) unbounded. B) non-negative. C) infeasible. D) redundant. Answer: D Diff: Moderate Topic: FOUR SPECIAL CASES IN LP LO: 7.6: Understand special issues in LP such as infeasibility, unboundedness, redundancy, and alternative optimal solutions. AACSB: Analytical thinking Classification: Concept
  2. Which of the following is not an assumption of LP? A) simultaneity B) certainty C) proportionality D) divisibility Answer: A Diff: Moderate Topic: REQUIREMENTS OF A LINEAR PROGRAMMING PROBLEM LO: 7.1: Identify the basic assumptions and properties of linear programming (LP). AACSB: Analytical thinking Classification: Concept
  3. The difference between the left-hand side and right-hand side of a less-than-or-equal-to constraint is referred to as A) surplus. B) constraint. C) slack. D) shadow price. Answer: C Diff: Moderate Topic: GRAPHICAL SOLUTION TO AN LP PROBLEM LO: 7.3: Graphically solve any LP problem that has only two variables by both the corner point and the isoprofit line methods. AACSB: Analytical thinking Classification: Concept
  1. The difference between the left-hand side and right-hand side of a greater-than-or-equal-to constraint is referred to as A) surplus. B) constraint. C) slack. D) shadow price. Answer: A Diff: Moderate Topic: GRAPHICAL SOLUTION TO AN LP PROBLEM LO: 7.3: Graphically solve any LP problem that has only two variables by both the corner point and the isoprofit line methods. AACSB: Analytical thinking Classification: Concept
  2. A constraint with zero slack or surplus is called a A) nonbinding constraint. B) resource constraint. C) binding constraint. D) nonlinear constraint. Answer: C Diff: Easy Topic: SOLVING FLAIR FURNITURE'S LP PROBLEM USING QM FOR WINDOWS AND EXCEL 2016 AND EXCEL QM LO: 7.4: Use Excel spreadsheets to solve LP problems. AACSB: Analytical thinking Classification: Concept
  3. The coefficients of the variables in the constraint equations that represent the amount of resources needed to produce one unit of the variable are called A) technological coefficients. B) objective coefficients. C) shadow prices. D) dual prices. Answer: A Diff: Moderate Topic: SENSITIVITY ANALYSIS LO: 7.7: Understand the role of sensitivity analysis. AACSB: Analytical thinking Classification: Concept