| 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. |