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. |