Selecting optimum concepts for a system and its subsystems in the conceptual design stage involves uncertainties due to imperfect information about customer preferences (market shares), cost of the system developed from each concept, and feasibility of new technology used in the new system. When analytical relationships between system performance and system inputs or parameters are unknown in the early system development stage, one approach to quantify the goodness of a concept is to use rating scales. This paper studies the effects of variations (precisions) in rating scales and in cost estimation for evaluating the goodness of system module concepts (e.g., sub-systems, assemblies, subassemblies, and parts). This paper presents a global se...
In this paper sensitivity analysis is performed for reliability evaluation of power systems. When ex...
Quality function deployment (QFD) is one of the most popular tools used in the product development p...
This article addresses a procedure to identify the maximum resource allocated to uncertainty reducti...
The conceptual design phase poses a large degree of uncertainty on how the final design will perform...
Numerical concept selection methods are used throughout industry to determine which among several de...
At the end of a conceptual design phase, engineers choose a single (or a small set of) system concep...
The tools of sensitivity analyses are old, well known, and used in diverse engineering and non-engin...
The method of Statistical Sensitivity Analysis (SSA) is playing an increasingly important role in en...
International audienceThe presence of immature concepts makes decision-making difficult in upstream ...
Uncertainty in the input parameters to an engineering system may not only degrade the system’s perfo...
This paper presents the use of a mathematical model in updating a decision maker\u27s belief before ...
Quality Function Deployment (QFD) is matrix method that identifies relative worth of product require...
In a conceptual design phase, engineers need to estimate, as accurately as possible, the cost of sys...
Power systems are increasingly affected by various sources of uncertainty at all levels. The investi...
The presence of immature concepts makes difficult decision making at upstream phase of a development...
In this paper sensitivity analysis is performed for reliability evaluation of power systems. When ex...
Quality function deployment (QFD) is one of the most popular tools used in the product development p...
This article addresses a procedure to identify the maximum resource allocated to uncertainty reducti...
The conceptual design phase poses a large degree of uncertainty on how the final design will perform...
Numerical concept selection methods are used throughout industry to determine which among several de...
At the end of a conceptual design phase, engineers choose a single (or a small set of) system concep...
The tools of sensitivity analyses are old, well known, and used in diverse engineering and non-engin...
The method of Statistical Sensitivity Analysis (SSA) is playing an increasingly important role in en...
International audienceThe presence of immature concepts makes decision-making difficult in upstream ...
Uncertainty in the input parameters to an engineering system may not only degrade the system’s perfo...
This paper presents the use of a mathematical model in updating a decision maker\u27s belief before ...
Quality Function Deployment (QFD) is matrix method that identifies relative worth of product require...
In a conceptual design phase, engineers need to estimate, as accurately as possible, the cost of sys...
Power systems are increasingly affected by various sources of uncertainty at all levels. The investi...
The presence of immature concepts makes difficult decision making at upstream phase of a development...
In this paper sensitivity analysis is performed for reliability evaluation of power systems. When ex...
Quality function deployment (QFD) is one of the most popular tools used in the product development p...
This article addresses a procedure to identify the maximum resource allocated to uncertainty reducti...