Hasil Pencarian  ::  Simpan CSV :: Kembali

Abstrak :
This book provides a protocol for conducting gauge repeatability and reproducibility (R&R) experiments. Such an experiment is required whenever a new test system is developed to monitor a manufacturing process. The protocol presented here is used to determine if the testing system is capable of monitoring the manufacturing process with the desired level of accuracy and precision. This protocol is not currently available in other books or technical reports. In addition to providing a protocol for testing a measurement system, the book presents an up-to-date summary of methods used to construct confidence intervals in normal-based random and mixed analysis of variance (ANOVA) models. Thus, this comprehensive book will be useful to scientists in all fields of application who wish to construct interval estimates for ANOVA model parameters. It includes approaches that can be applied to any ANOVA model, and because it contains detailed examples of all computations, practitioners will be able to easily apply the methods. The book describes methods for constructing two types of confidence intervals: modified large-sample (MLS) and generalized confidence intervals. Computer codes written in SAS and Excel are provided to perform the computations. Appendices are included for readers who are unfamiliar with confidence intervals or lack a basic understanding of random and mixed ANOVA models.

Abstrak :
This paper describes how supplier evaluation used multi criteria and Confidance Interval Approarch at Flavor Company in order to purchase cardboard material supplier. The result of design supplier evaluation six criterion that is seen significant to evaluate supplier by PT MW such: Quality, Delivery, Responsiveness, Flexibility, Relationship, and Cost. The scoring is filled up by the active participant and it is proceed using confidence interval approach method, which is involved purchasing, PPIC, QC, and Packing (warehouse) department. Generaly, the best performance supplier are KS and STG. The result of this supplier evaluation can be used as consideration in deciding the order space policies in the supplier for the next period.