Add to ORKGAbstract The performance of a product is often evaluated by several quality characteristics. Optimizing the manufacturing process with respect to only one quality characteristic will not always lead to the optimum values for other characteristics. Hence, it would be desirable to improve the overall quality of a product by improving quality characteristics, which are considered to be important. The problem consists of optimizing several responses using multiple objective decision making (MODM) approach and design of experiments (DOE). A case study will be discussed to show the application of the proposed method
WOS: 000237568000054The recent push for quality in industry has brought response surface methodology...
WOS: 000253631700013Quite often, engineers obtain measurements associated with several response vari...
Robust design methodology aims at reducing the variability in the product performance in the presenc...
11-16This paper presents a new method for optimization of multiple response problems in designing of...
Most industrial processes and products are evaluated by more than one quality characteristic. To sel...
We consider product and process design problems (hereafter collectively called process design proble...
The purpose of real-life problems is often to be able to find less expensive and more effective ways...
In today’s world, quality has been the key issue to the success of many multinational organizations....
WOS: 000234321500003Designing high-quality products and processes at low cost is an economic and tec...
In recent years, response surface methodology (RSM) has brought many attentions of many quality engi...
Ensuring quality of a product is rarely based on observations of a single quality characteristic. Ge...
This paper presents a multi response decision tree (DT) approach to find the process conditions that...
Many industrial experiments based on Taguchi's parameter design (PD) methodology deal with the optim...
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
This dissertation contributes extensions to the methodology of experimental design and optimization ...
WOS: 000237568000054The recent push for quality in industry has brought response surface methodology...
WOS: 000253631700013Quite often, engineers obtain measurements associated with several response vari...
Robust design methodology aims at reducing the variability in the product performance in the presenc...
11-16This paper presents a new method for optimization of multiple response problems in designing of...
Most industrial processes and products are evaluated by more than one quality characteristic. To sel...
We consider product and process design problems (hereafter collectively called process design proble...
The purpose of real-life problems is often to be able to find less expensive and more effective ways...
In today’s world, quality has been the key issue to the success of many multinational organizations....
WOS: 000234321500003Designing high-quality products and processes at low cost is an economic and tec...
In recent years, response surface methodology (RSM) has brought many attentions of many quality engi...
Ensuring quality of a product is rarely based on observations of a single quality characteristic. Ge...
This paper presents a multi response decision tree (DT) approach to find the process conditions that...
Many industrial experiments based on Taguchi's parameter design (PD) methodology deal with the optim...
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
This dissertation contributes extensions to the methodology of experimental design and optimization ...
WOS: 000237568000054The recent push for quality in industry has brought response surface methodology...
WOS: 000253631700013Quite often, engineers obtain measurements associated with several response vari...
Robust design methodology aims at reducing the variability in the product performance in the presenc...