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. ![]() |