|
a. small impact |
||
|
b. critical safety liability |
||
|
c. reversibility |
||
|
d. short-term consequences |
||
|
e. standard decision process |
|
a. eliminating defects |
||
|
b. eliminating waste |
||
|
c. creating value |
||
|
d. A and C |
||
|
e. B and C |
|
a. Developing a design quality aimed at satisfying the consumer |
||
|
b. Involving cross-functional teams in all phases of product development |
||
|
c. Building House of Quality in an early phase of product development |
||
|
d. Documenting requirements by regulatory standards |
||
|
e. None of the above |
|
a. incorporates our attitude toward risk into the decision-making process |
||
|
b. measures risk |
||
|
c. is a decision support tool that uses a tree-like graph or model of decisions and their possible consequencesD. all of the aboveE. none of the above |
|
a. Difference between the discounted Total Benefits and the discounted Total Costs |
||
|
b. Difference between the nondiscounted Total Benefits and the nondiscounted Total Costs |
||
|
c. Ratio between the discounted Total Benefits and the discounted Total Costs |
||
|
d. Discounted cash flow |
||
|
e. None of the above |
|
a. logic |
||
|
b. statistical analysis |
||
|
c. frequency |
||
|
d. judgment |
||
|
e. All of the above |
|
a. uncertainty and risk in design decisions |
||
|
b. the preferences of the decision maker |
||
|
c. ranking of alternatives on a valid and validated real scalar measure |
||
|
d. A and B |
||
|
e. A, B, and C |
|
a. manufacturing activities are based on market forecast |
||
|
b. manufacturing activities are based on actual customer demand |
||
|
c. management is very hands-on |
||
|
d. A and C |
||
|
e. B and C |
|
a. functional requirements with design parameters |
||
|
b. design parameters and process variables |
||
|
c. process variables and functional requirements |
||
|
d. functional requirements with both design parameters and process variables |
||
|
e. none of the above |
|
a. equal to the number of process variables |
||
|
b. equal to the number of design parameters |
||
|
c. greater than the number of design parameters |
||
|
d. less than the number of process variables |
||
|
e. less than the number of design parameters |
|
a. is a representation of the structure of a database |
||
|
b. describes the categories of things that can exist in the database |
||
|
c. are the things in each category that exist in the actual database at a given time |
||
|
d. describes the database at a given time |
||
|
e. describes the relationships that it can hold among entities |
|
a. is a representation of the structure of a database |
||
|
b. describes the categories of things that can exist in the database |
||
|
c. are the things in each category that exist in the actual database at a given time |
||
|
d. describes the database at a given time |
||
|
e. describes the relationships that it can hold among entities |
|
a. is a representation of the structure of a database |
||
|
b. describes the categories of things that can exist in the database |
||
|
c. is the thing in each category that exists in the actual database at a given time |
||
|
d. describes the database at a given time |
||
|
e. describes the relationships that it can hold among entities |
|
a. decision stages |
||
|
b. constraints |
||
|
c. nodes |
||
|
d. objectives |
||
|
e. none of the above |
|
a. stage n |
||
|
b. stage n-2 |
||
|
c. stage n+1 |
||
|
d. stage n+2 |
||
|
e. none of the above |
|
a. Lean |
||
|
b. High quality |
||
|
c. Improvements |
||
|
d. All of the above |
||
|
e. None of the above |
|
a. LeanB. High quality |
||
|
b. Improvements |
||
|
c. Mistake-proofing |
||
|
d. None of the above |
|
a. a solution that maximizes all objectives |
||
|
b. a solution that minimizes all objectives |
||
|
c. a solution such that no other feasible solution for the same input set X is better on all individual objectives |
||
|
d. a solution such that no other feasible solution for the same input set X is worse on all individual objectives |
||
|
e. None of the above |
|
a. Less computing resources are required as compared with the constraint method. |
||
|
b. A feasible solution always exists. |
||
|
c. A complete description of the noninferior solutions is provided. |
||
|
d. A and B |
||
|
e. A, B, and C |
|
a. optimizes the weighted sum of the objectives, subjected to constraints on inputs |
||
|
b. optimizes one objective while representing all other objectives as constraints |
||
|
c. optimizes multiple objectives while representing one objective as constraints |
||
|
d. optimizes the objectives, subjective to a weighted sum of the constraints |
||
|
e. None of the above |
|
a. optimizes the weighted sum of the objectives, subjected to constraints on inputs. |
||
|
b. optimizes one objective while representing all other objectives as constraints |
||
|
c. optimizes multiple objectives while representing one objective as constraints |
||
|
d. optimizes the objectives, subjective to a weighted sum of the constraints |
||
|
e. None of the above |
|
a. It rates the design attributes in terms of organizational difficulty. |
||
|
b. It compares competitor technical descriptors. |
||
|
c. It determines the relationship between customer needs and the company’s ability to meet those needs. |
||
|
d. It examines how each of the technical descriptors impact each other. |
||
|
e. It calculates the absolute importance for each technical descriptor |
|
a. It rates the design attributes in terms of organizational difficulty. |
||
|
b. It compares competitor technical descriptors. |
||
|
c. It determines the relationship between customer needs and the company’s ability to meet those needs. |
||
|
d. It examines how each of the technical descriptors impact each other. |
||
|
e. It calculates the absolute importance for each technical descriptor. |
|
a. To rate the design attributes in terms of organizational difficulty |
||
|
b. To compare competitor technical descriptors |
||
|
c. To determine the relationship between customer needs and the company’s ability to meet those needs. |
||
|
d. To investigate how each of the technical descriptors impact each other. |
||
|
e. To determine which technical aspects of your product matters the most to your customer |
|
a. “select” |
||
|
b. “project” |
||
|
c. “join” |
||
|
d. “union” |
||
|
e. “difference” |
|
a. “select” |
||
|
b. “project” |
||
|
c. “join” |
||
|
d. “union” |
||
|
e. “difference” |
|
a. 30 |
||
|
b. 39 |
||
|
c. 40 |
||
|
d. 21 |
||
|
e. 400 |
|
a. linear programming |
||
|
b. nonlinear programming |
||
|
c. integer programming |
||
|
d. goal programmingE. dynamics programming |
|
a. Sum Weight Method |
||
|
b. Analytic Hierarchy Process |
||
|
c. Decision Tree Analysis |
||
|
d. Swing Weight Method |
||
|
e. None of the above |
|
a. certainty |
||
|
b. linearity |
||
|
c. additivity |
||
|
d. divisibility |
||
|
e. all of the above |
|
a. 3 |
||
|
b. 4 |
||
|
c. 5 |
||
|
d. 6 |
||
|
e. 2 |
|
a. The goal is to create an ideal design with no harmful functions. |
||
|
b. The process of invention can be structured and systematized. |
||
|
c. An inventive solution is created to resolve two contradictory elements. |
||
|
d. A and B |
||
|
e. A, B, and C |
|
a. is a quantification of a person’s relative preference for a specific consequence |
||
|
b. is the expectation of the preference values of the possible outcomes of the lottery |
||
|
c. expresses a person’s relative preferences among a set of consequences |
||
|
d. is a consequence such that the decision maker is indifferent between the certainty equivalent and the lottery |
||
|
e. none of the above |
|
a. Quality Function Deployment |
||
|
b. TRIZ |
||
|
c. Six Sigma |
||
|
d. The Pugh Method |
||
|
e. None of the above |
|
a. a good design is made up of design parameters that result in the dependence of the functional requirements from each other |
||
|
b. a good design minimizes the information content of the design. |
||
|
c. a good design is made up of design parameters that result in the independence of the functional requirements from each other |
||
|
d. a good design maximizes the information content of the design |
||
|
e. All of the above |
|
a. is a quantification of a person’s relative preference for a specific consequence |
||
|
b. is the expectation of the preference values of the possible outcomes of the lottery |
||
|
c. expresses a person’s relative preferences among a set of consequences |
||
|
d. is a consequence such that the decision maker is indifferent between the certainty equivalent and the lottery |
||
|
e. none of the above |
|
a. requirement identification |
||
|
b. problem definition |
||
|
c. establishment of objectives |
||
|
d. development of criteria for evaluation |
||
|
e. All of the above |
|
a. prefers uncertain amounts that have an expected value equal to the certain amount |
||
|
b. prefers certain amounts over uncertain amounts with the same expected value |
||
|
c. is indifferent, or has a tie in terms of preference, between the two |
||
|
d. all of the above |
||
|
e. none of the above |
|
a. a good design is made up of design parameters that result in the dependence of the functional requirements from each other |
||
|
b. a good design minimizes the information content of the design |
||
|
c. a good design is made up of design parameters that result in the independence of the functional requirements from each other |
||
|
d. a good design maximizes the information content of the design |
||
|
e. All of the above |
|
a. is a quantification of a person’s relative preference for that consequence |
||
|
b. is the expectation of the preference values of the possible outcomes of the lottery |
||
|
c. expresses a person’s relative preferences among a set of consequences |
||
|
d. is a consequence such that the decision maker is indifferent between the certainty equivalent and the lottery |
||
|
e. none of the above |
|
a. Maximin |
||
|
b. Maximax |
||
|
c. Laplace |
||
|
d. Regret |
||
|
e. Weighted index |
|
a. Maximin |
||
|
b. Maximax |
||
|
c. Laplace |
||
|
d. Regret |
||
|
e. Weighted index |
|
a. Maximin |
||
|
b. Maximax |
||
|
c. Laplace |
||
|
d. Regret |
||
|
e. Weighted index |
|
a. is a quantification of a person's relative preference for a specific consequence |
||
|
b. is the expectation of the preference values of the possible outcomes of the lottery |
||
|
c. expresses a person’s relative preferences among a set of consequences |
||
|
d. is a consequence such that the decision maker is indifferent between the certainty equivalent and the lottery |
||
|
e. none of the above |
|
a. incorporates our attitude toward risk into the decision-making process |
||
|
b. measures risk |
||
|
c. is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences |
||
|
d. all of the above |
||
|
e. none of the above |
|
a. Enumerating choices |
||
|
b. Characterizing relevant outcomes |
||
|
c. Quantifying the relative desirability of outcomes |
||
|
d. Ranking choices and helping to identify the best option |
||
|
e. All of the above |
|
a. A method to transform user demands into design quality |
||
|
b. A method to deploy the functions forming quality |
||
|
c. A way to deploy methods for achieving the design quality into subsystems and component parts and ultimately to specific elements of the manufacturing process |
||
|
d. A, B, and C |
||
|
e. A and B |
|
a. sequential engineering |
||
|
b. traditional engineering |
||
|
c. concurrent engineering |
||
|
d. all of the above |
||
|
e. none of the above |
|
a. It allows comparisons of options on the same scale |
||
|
b. It allows ranking of projects |
||
|
c. It requires all benefits to be assigned a monetary value |
||
|
d. A and B |
||
|
e. A and C |
|
a. >= |
||
|
b. <= |
||
|
c. = |
||
|
d. none of the above |
||
|
e. all of the above |
|
a. Weight sum |
||
|
b. Weighted exponential sum |
||
|
c. Lexicographic |
||
|
d. Tchebycheff |
||
|
e. All of the above |
|
a. DecisionsB. Excel spreadsheet |
||
|
b. Data |
||
|
c. Measures of performance |
||
|
d. Constraints |
|
a. Customer Domain |
||
|
b. Functional Domain |
||
|
c. Physical Domain |
||
|
d. Organizational Domain |
||
|
e. Process Domain |
|
a. All stakeholder inputs |
||
|
b. Sequential design |
||
|
c. Concurrent consideration of product life cycle |
||
|
d. Multifunctional team |
||
|
e. Total quality management tools |
|
a. Structure the problem into manageable subproblems. |
||
|
b. Assign a relative weight to each criterion, based on its importance within the node to which it belongs. |
||
|
c. Score alternatives and compare each one to others. |
||
|
d. Compare alternatives and select the one that best fits the requirements. |
||
|
e. None of the above. |
|
a. Theory of Inventive Problem Solving (TRIZ) |
||
|
b. Mind mapping |
||
|
c. Design Information Systems |
||
|
d. Product Planning Advisor |
||
|
e. All of the above |
|
a. Lower discount rates favor projects with short-term benefits. |
||
|
b. Relative rank of projects depends on the discount rate used. |
||
|
c. Discount rate is used to evaluate the cash flows of a project over time. |
||
|
d. Discount rate may vary under different conditions. |
||
|
e. Higher discount rates favor projects with short-term benefits. |
|
a. Design must provide a robust product that is on target and simultaneously insensitive to variability arising from both the process and the environment. |
||
|
b. Process parameters are constants and do not affect the variability in the product. |
||
|
c. A defined loss function should be established to provide a financial measure of customer dissatisfaction with a product’s performance as it deviates from a target value. |
||
|
d. Quality should be measured by the deviation from a specified target value. |
||
|
e. The product user’s environment adds further variability challenges to quality performance. |
|
a. Establish process stability and enable effective employee involvement. |
||
|
b. Support audit, poka-yoke, and problem solving and maintain organizational knowledge. |
||
|
c. Provide a basis for employee training; define clear stop and start points for each process. |
||
|
d. A and B |
||
|
e. A, B, and C |
|
a. Complex constraints |
||
|
b. Uncertainty about values of attributes |
||
|
c. Subtypes that share some but not all structure and features of parent type |
||
|
d. Context-dependent structure |
||
|
e. All of the above |
|
a. $400 million, $310 million, $0 |
||
|
b. $900 million, $200 million, $0 |
||
|
c. $200 million, $310 million, $100 million |
||
|
d. $100 million, $390 million, $0 |
||
|
e. $100 million, $390 million, $0 |
|
a. 4x+7y > 5000 |
||
|
b. 4x+7y <= 5000 |
||
|
c. 7y > 5000 |
||
|
d. 4x > 5000 |
||
|
e. 4x = 7y |
|
a. Hotel A |
||
|
b. Hotel B |
||
|
c. Hotel C |
||
|
d. Hotel D |
||
|
e. Hotel E |
|
a. 2 |
||
|
b. 3 |
||
|
c. 4 |
||
|
d. 5 |
||
|
e. 6 |
|
a. is exercised when expectation of positive return decreases |
||
|
b. captures benefits from increases in project value |
||
|
c. insures against losses from decreased project value |
||
|
d. may involve short-term costs to salvage the project |
||
|
e. all of the above |
|
a. is exercised when expectations of positive return decrease |
||
|
b. captures benefits from increases in project value |
||
|
c. is exercised when expectations of positive return increase |
||
|
d. may involve putting more money into project to maximize return. |
||
|
e. all of the above |
|
a. sort |
||
|
b. shine |
||
|
c. standardize |
||
|
d. sustain |
||
|
e. none of the above |
|
a. X = 2, Y = 1.5 |
||
|
b. X = 2, Y = 1 |
||
|
c. X = 0, Y = 0 |
||
|
d. X = 1, Y = 2 |
||
|
e. X = 0, Y = 1 |
|
a. complexity, dynamic, and convexity. |
||
|
b. constrained resources, too many options, and redundancy. |
||
|
c. sensitivity, specificity, and redundancy. |
||
|
d. uncertainty, complexity, and dynamic. |
||
|
e. None of the above. |
|
a. 3.25% |
||
|
b. 2.25% |
||
|
c. 1.23% |
||
|
d. 5.25% |
||
|
e. 0% |
|
a. options |
||
|
b. outcomes |
||
|
c. opinions |
||
|
d. operational |
||
|
e. omnipresent |
|
a. Let C1, C2, and C3 be any three consequences of a chance event R. The decision maker preferred C1 over C2 and C2 over C3. The decision maker also preferred C1 over C3. |
||
|
b. Two events L1 and L2 with the same consequence occur with probabilities p1 and p2. We know that p1 > p2. The decision maker preferred L1. |
||
|
c. Let C1 and C2 be any two consequences which are possible if only some chance event R occurs. Before knowing whether R occurred, the decision maker preferred C1. After it is known that R did indeed occur, the decision maker preferred C2. |
||
|
d. A and B |
||
|
e. Let C1 and C2 be consequences of two independent events L1 and L2. The decision maker estimates that C1 is equivalent to C2 and decides to substitute L1 with L2. |
|
a. computer-based |
||
|
b. replacing human judgment |
||
|
c. improving effectiveness of human decision makers |
||
|
d. highly interactive |
||
|
e. none of the above |
|
a. Customer “pull” |
||
|
b. Flexible response |
||
|
c. Periodic adjustment |
||
|
d. Prevention |
||
|
e. Knowledge-driven |
|
a. Option is a right but not an obligation to take some action. |
||
|
b. Options have asymmetric returns. |
||
|
c. Options are exercised only if advantageous. |
||
|
d. Options are acquired at some cost. |
||
|
e. Options can be only exercised in the future. |