the three methods of design of experiment: taguchi ,classic and shainin can solve quality problem ,diagnosis the roots of quality problem and make improvement . to use of these methods ,we should recognize the strengths and weakness of them. recognizing notes of these methods by comparison with a case study ,we will understand them deeper. in this study three mentioned methods were compared aft...

The design of experiment (DoE) approach developed for experiments requiring cost and time is applied in many disciplines. Unfortunately, the insufficient use DoE technique physics led to emergence this study. This study aims demonstrate applicability field with a case most widely used full factorial experimental was damped driven pendulum Length (m), dumpling (Newton), mass (kg) as independent ...

This paper proposes a methodology that replaces the usual ad hoc approach to metamodeling. This methodology considers validation of a metamodel with respect to both the underlying simulation model and the problem entity. It distinguishes between ®tting and validating a metamodel, and covers four types of goal: (i) understanding, (ii) prediction, (iii) optimization, and (iv) veri®cation and vali...

This chapter describes an approach to test case design using a proven statistical method known as Design of Experiments. Benefits and costs quantified by a study comparing effectiveness of a manual test case design approach to effectiveness of DoE-based test case selection methods are described. In the interest of balance we discuss counter-arguments and limitations. We illustrate use of this m...

this paper describes a Design Of Experiments (DOE) based method used in computer-aided design to simulate the impact of process variations on circuit performances. The method is based on a DOE approach using simple first and second order polynomial models with multiple experiment maps. It is a technology & circuit-independent method which allows circuit designers to perform statistical analysis...

When the number of data used for an identification experiment is small, the data contain transient effects and these effects contribute to the accuracy of the identified model. Consequently, when designing the optimal input signal for an identification experiment in the case of small data set, these transient effects have to be taken into account. In this paper, we present a methodology for opt...

in this article, the effect of parameters like working gap, work piece rotational speed and material removal mechanism(injection of the sic abrasive slurry and al2o3, use of diamond paste as abrasive tool) in magnetic abrasive finishing process using designing of experiments on the external surface of cylindrical work pieces of stainless steel aisi 440c to get minimum surface roughness has been...

Experiments can discover many unexpected things and highlighted issues for further detailed study. The emerging of advanced products and processes are changing rapidly, customers are more demanding and product life-cycle and time to market are shrinking. In this environment engineers and scientists need a strategic approach to overcome this demand. Design of experiments (DOE) is the answer to t...