Industrial Engineering Methods
Final Exam Questions
Course Introduction
Industrial Engineering Methods introduces students to the foundational tools and techniques used to analyze, design, and improve processes within industrial and service systems. The course covers topics such as work measurement, methods engineering, motion and time study, facility layout, process mapping, and productivity analysis. Students will learn how to evaluate existing operations, apply systematic approaches to problem-solving, and recommend efficient and cost-effective solutions to enhance workflow and resource utilization. Emphasis is placed on practical application through case studies, real-world examples, and hands-on projects to develop competencies relevant to modern industrial environments.
Recommended Textbook
Introduction to Management Science A Modeling and Case Studies Approach With Spreadsheets
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Chapter 1: Introduction
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Q1) Enlightened future managers should know which of the following?
A)The power and relevance of management science.
B)When management science can and cannot be applied.
C)How to apply the major techniques of management science.
D)How to interpret the results of a management science study.
E)All of the above.
Answer: E
Q2) Managers may base their decisions on which of the following?
A)Quantitative factors.
B)Their best judgement.
C)Opinions from other managers.
D)Past experience.
E)All of the above.
Answer: E
Q3) Sensitivity analysis is used to check the effect of changes in the model. Multiple Choice Questions
A)True
B)False
Answer: True
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Chapter 2: Linear Programming: Basic Concepts
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Q1) Linear programming allows a manager to find the best mix of activities to pursue and at what levels.
A)True
B)False
Answer: True
Q2) The best feasible solution is called the optimal solution.
A)True
B)False
Answer: True
Q3) What is the time constraint?
A)2R + 3S \(\le\) 720.
B)2R + 5S \(\le\) 720.
C)3R + 2S \(\le\) 720.
D)3R + 5S \(\le\) 720.
E)5R + 5S \(\le\) 720.
Answer: A
Q4) The parameters of a model are the numbers in the data cells of a spreadsheet.
A)True
B)False
Answer: True
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Chapter 3: Linear Programming: Formulation and Applications
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Sample Questions
Q1) A mixed linear programming problem will always contain some of each of the three types of constraints in it.
A)True
B)False
Answer: False
Q2) When formulating a linear programming problem on a spreadsheet,data cells will show the levels of activities for the decisions being made.
A)True
B)False
Answer: False
Q3) Where is the target cell located?
A)B2:D2.
B)B2:D2,B4:D7,and G5:G7.
C)B10:D10.
D)E5:E7.
E)G10.
Answer: E
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Page 5
Chapter 4: The Art of Modeling With Spreadsheets
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Q1) Colors and shading should be avoided on a spreadsheet because it distracts from the model.
A)True
B)False
Q2) There is a systematic procedure that will lead to a single correct spreadsheet model.
A)True
B)False
Q3) When testing a spreadsheet model by entering values in the changing cells,which of the following are appropriate values to enter?
A)Zeroes.
B)Values for which you know what the values of the output cells should be.
C)Large numbers.
D)All of the above.
E)b and c only.
Q4) When sketching out a spreadsheet,it is important to have determined the formulas for all of the output cells.
A)True
B)False
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Chapter 5: What-If Analysis for Linear Programming
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Sample Questions
Q1) Whenever proportional changes are made to all the unit profits in a problem,the optimal solution will remain the same.
A)True
B)False
Q2) If the change to a right-hand side is within the allowable range,the solution will remain the same.
A)True
B)False
Q3) Every change in the value of an objective function coefficient will lead to a changed optimal solution.
A)True
B)False
Q4) Which parameter is most sensitive to an increase in its value?
A)The objective coefficient of Activity 1.
B)The objective coefficient of Activity 2.
C)The objective coefficient of Activity 3.
D)All of the above.
E)None of the above.
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Chapter 6: Network Optimization Problems
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Sample Questions
Q1) As long as all its supplies and demands have integer values,any minimum cost flow problem is guaranteed to have an optimal solution with integer values.
A)True
B)False
Q2) Which of the following could be the subject of a maximum flow problem?
A)Products.
B)Oil.
C)Vehicles.
D)All of the above.
E)None of the above.
Q3) A minimum cost flow problem will have feasible solutions as long as there is a balance between the total supply from the supply nodes and the total demand at the demand nodes.
A)True
B)False
Q4) In a shortest path problem,the lines connecting the nodes are referred to as arcs. A)True
B)False
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Chapter 7: Using Binary Integer Programming to Deal With
Yes-Or-No Decisions
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Sample Questions
Q1) A BIP problem considers one yes-or-no decision at a time with the objective of choosing the best alternative.
A)True
B)False
Q2) Binary variables can have the following values:
A)0.
B)1.
C)any integer value.
D)a and b only.
E)All of the above.
Q3) It is possible to have a constraint in a BIP that excludes the possibility of choosing none of the alternatives available.
A)True
B)False
Q4) BIP can be used to determine the timing of activities.
A)True
B)False
Q5) Binary variables are variables whose only possible values are 0 or 1. A)True
B)False
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Chapter 8: Nonlinear Programming
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Sample Questions
Q1) Separable programming is applicable when there are increasing or decreasing marginal returns.
A)True
B)False
Q2) Nonlinear programming problems with decreasing marginal returns are generally easier to solve then nonlinear programming problems with increasing marginal returns.
A)True
B)False
Q3) It now is common practice for professional managers of large stock portfolios to use computer models based partially on separable programming.
A)True
B)False
Q4) A linear function may contain which of the following?
A)A term that contains a single variable with an exponent of 1.
B)A term that contains a single variable with an exponent of 2.
C)A term that is a constant times the product of two variables.
D)All of the above.
E)b.and c.only.
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Chapter 9: Decision Analysis
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Sample Questions
Q1) What is the expected payoff for the optimum decision alternative?
A)50,000 copies.
B)40,000 copies.
C)32,000 copies.
D)30,500 copies.
E)10,500 copies.
Q2) A decision tree branches out all of the possible decisions and all of the possible events.
A)True
B)False
Q3) The Bayes' decision rule strategy is:
A)Buy.
B)Rent.
C)Lease.
D)High.
E)Low.
Q4) The EVPI indicates an upper limit in the amount a decision-maker should be willing to spend to obtain information.
A)True
B)False
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Chapter 10: Cd Supplement - Decision Analysis
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Sample Questions
Q1) An example of maximax decision making is a person buying lottery tickets in hopes of a very big payoff.
A)True
B)False
Q2) The realism strategy with a pessimism-optimism index of 0.5 is:
A)small.
B)medium.
C)medium large.
D)large.
E)extra large.
Q3) The maximax strategy is:
A)Buy.
B)Rent.
C)Lease.
D)High.
E)Low.
Q4) A weakness of the maximin approach is that it loses some information.
A)True B)False
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Chapter 11: Forecasting
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Sample Questions
Q1) What is the forecast for this year using a moving-average forecast based on the last four years?
A)22,000.
B)20,000.
C)18,000.
D)15,000.
E)12,000.
Q2) Which of the following would be considered a possible drawback of using executive opinions to develop a forecast?
A)It is difficult to interpret the results.
B)Responsibility is diffused for the forecast.
C)Extensive use of computers is needed.
D)It brings together the knowledge of top managers.
E)Forecasters are sometimes overly influenced by recent events.
Q3) What is the forecast for this year using the last-value forecasting method?
A)49.
B)50.
C)52.
D)65.
E)78.
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Chapter 12: Queueing Models
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Sample Questions
Q1) The most commonly used queueing models assume a service rate that is exponential.
A)True
B)False
Q2) What is the approximate average time in minutes that truckers wait to be seated?
A)2.7.
B)4.5.
C)8.4.
D)13.6.
E)15.8.
Q3) The reason for using priorities is to decrease the waiting times for high-priority customers.
A)True
B)False
Q4) The lack-of-memory property refers to a customer's willingness to wait in line even though there are other customers that will be served first.
A)True
B)False
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Chapter 13: CD Supplement - Additional Queueing Models
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Sample Questions
Q1) The utilization factor for the finite queue variation must be less than 1 in order for the system to reach a steady state.
A)True
B)False
Q2) A basic difference between infinite calling population and finite calling population queueing models is:
A)the number of servers.
B)the average waiting time.
C)the arrival distribution.
D)the size of the potential customer base.
E)the processing rate.
Q3) The Erlang distribution with k = 4 has higher variability than the Erlang distribution with k = 2.
Multiple Choice Questions
A)True
B)False
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Chapter 14: Computer Simulation: Basic Concepts
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Sample Questions
Q1) How many times is David late for work because his car won't start?
A)0.
B)1.
C)2.
D)3.
E)4.
Q2) Random observations can be generated in Excel by using the VLOOKUP function.
A)True
B)False
Q3) Simulation is basically an optimizing technique.
A)True
B)False
Q4) A simulation model includes:
A)a description of the components of the system.
B)a simulation clock.
C)a definition of the state of the system.
D)All of the above.
E)a.and b.only.
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Chapter 15: CD Supplement - the Inverse Transformation
Method for Generating Random Observations
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Q1) The inverse transformation method can be used to generate random observations from a probability distribution.
A)True
B)False
Q2) Excel's RAND()function is designed specifically for applying the inverse transformation method to any discreet probability distribution.
A)True
B)False
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Chapter 16: Computer Simulation With Crystal Ball
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Sample Questions
Q1) The number of trials is one of the options to be set in the Run Preferences for Crystal Ball.
A)True
B)False
Q2) Crystal Ball can be used to fit a continuous distribution to data.
A)True
B)False
Q3) The Decision Table tool can simultaneously vary up to how many different decision variables?
A)1
B)2
C)3
D)4
E)Any number of decision variables.
Q4) The normal distribution is a good choice when all values within a range are equally likely.
A)True
B)False
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Chapter 17: CD - Solution Concepts for Linear Programming
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Sample Questions
Q1) If a maximization problem has an objective function of 3x<sub>1</sub> + 2x<sub>2</sub>,which of the following corner points is the optimal solution?
A)(0,2).
B)(0,3).
C)(3,3).
D)(5,1).
E)(0,0).
Q2) A linear programming problem can have multiple optimal solutions.
A)True
B)False
Q3) The data given in the Solver's sensitivity report are obtained directly from the output of the simplex method.
A)True
B)False
Q4) Like the enumeration-of corner-points method,the simplex method evaluates all of the corner points of a problem.
A)True
B)False
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Chapter 18: CD - Transportation and Assignment Problems
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Q1) In an assignment problem,every destination has a demand of 0 or 1.
A)True
B)False
Q2) An assignment problem is a special type of transportation problem
A)True
B)False
Q3) It is not possible to solve a transportation problem that has \(\le\) instead of = signs for the supply constraints.
A)True
B)False
Q4) The transportation model method for evaluating location alternatives minimizes:
A)the number of sources.
B)the number of destinations.
C)total supply.
D)total demand.
E)total shipping cost
Q5) The supplies and demands provide all the data for a transportation problem.
A)True
B)False
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Chapter 19: CD - Pertcpm Models for Project Management
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Sample Questions
Q1) In PERT,the path with the fewest activities is referred to as the critical path.
A)True
B)False
Q2) What is the estimated mean time for activity Y?
A)30 days.
B)29 days.
C)38 days.
D)26 days.
E)35 days.
Q3) The critical path for the network shown is:
A)A-C-G.
B)A-D-F-G.
C)A-D-H-I.
D)B-E-F-G.
E)B-E-H-I.
Q4) Only activities on the critical path are initial candidates for crashing.
A)True
B)False
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21
Chapter 20: CD - Goal Programming
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Sample Questions
Q1) Goal programming problems cannot be easily reformulated as linear programming problems and,therefore,require a special algorithm to solve.
A)True
B)False
Q2) In preemptive goal programming,the goals are ranked from most important to least important.
A)True
B)False
Q3) Preemptive goal programming strives to achieve all of the goals simultaneously.
A)True
B)False
Q4) In weighted goal programming,the target cell is the weighted sum of the deviations from the goals.
A)True
B)False
Q5) Goal programming provides a way to identify the most important goal and achieve it.
A)True B)False
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Chapter 21: CD - Inventory Management With Known Demand
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Sample Questions
Q1) At what point should she reorder pepperoni?
A)20 pounds remaining.
B)40 pounds remaining.
C)60 pounds remaining.
D)80 pounds remaining.
E)100 pounds remaining.
Q2) The average inventory level and the number of orders per year are inversely related.As one increases,the other decreases.
A)True
B)False
Q3) In the EOQ model with planned shortages,Q* always will be smaller than S*.
A)True
B)False
Q4) If she was to order 80 pounds of pepperoni at a time,what would be the length of an order cycle?
A)0 days.
B)0.25 days.
C)3 day.
D)4 days.
E)5 days.
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Chapter 22: CD - Inventory Management With Uncertain Demand
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Sample Questions
Q1) The perishable product model can be very helpful in determining how much to order.
A)True
B)False
Q2) When the item is used in production or is a spare part for a production machine,shortage costs in the perishable product model include the cost of lost production.
A)True
B)False
Q3) Which one of the following is not generally a determinant of the reorder point?
A)Average demand.
B)Length of lead time.
C)Setup cost.
D)Shortage cost.
E)Purchase cost.
Q4) The objective of inventory management is to maximize customer service levels.
A)True
B)False
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