پارامتراستواری در طراحی محصول و فرایند

پارامتراستواری در طراحی محصول و فرایند

اسلاید 1: Robust parameter design and process robustness studiesRobust parameter design (RPD): an approach to product realization activities that emphasizes choosing the levels of controllable factors( parameters) in a process or product to achieve two objectives To ensure that the mean of output response is at  a desired level or target To ensure that vailability around the Target value is as small as possibleWhen and PRD study is a conducted on a process it is usually called a process robustness a studyDeveloped by Genichi Taguchi (1980)DOX 6E Montgomery1

اسلاید 2: Robust parameter design and process robustness studiesA robust design problem usually Focuses on one or more of the following:Designing systems that are insensitive to environmental factors that can affect performance once the system is deployed in the fieldDesigning products so that they are insensitive to the variability transmitted by the components of the system.Designing processes so that theyre manufactured product will be as close as possible to the desired target specifications even though some process variables are impossible to control precisely.Determining the operating conditions for a process so that the crucial process characteristics are as close as possible to the desired target values and vailability around this target is minimized.DOX 6E Montgomery2

اسلاید 3: Taguchis approach is to construct separate designs in the controllable factors and noise factors, and to cross them.Both designs are based on orthogonal arrays, which include fractional factorial design matrices: an inner array design in the controllable factors an outer array design in the noise factors.The crossed design uses every combination of a treatment in the controllable factors and a treatment in the noise factors.Taguchis analysis of the resulting data differs from the conventional statistical model.DOX 6E Montgomery3

اسلاید 4: Robust parameter design and process robustness studiesBefore Taguchi (RPD was often done by overdesign-expensive) Controversy about experimental procedure and data analysis methods (Taguchis my toes are usually inefficient or ineffective) Response surface methodology (RSM) was developed as an approach  to the RPD problem Certain types of variables cause variability in the important system response variables( noise variables or uncountable variables)DOX 6E Montgomery4

اسلاید 5: CROSSED ARRAY DESIGNSThe original Taguchi methodology for the RPD problem revolved around the use of a statistical design for the controllable variables and another statistical design for the noise variables. Then these two designs were crossed This type of experimental design was called a crossed array design.DOX 6E Montgomery5

اسلاید 6: CROSSED ARRAY DESIGNSAn important point about the crossed array design is that it provides information about interactions between controllable factors and noise factors. These interactions are crucial to the solution of an RPD problemDOX 6E Montgomery6