An article by L.B. Hare (“In the Soup: A Case Study to Identify Contributors to Filling Variability,” Journal of Quality Technology, vol. 20, pp. 36-43) describe a factorial experiment used to study the filling variability of dry soup mix packages. The factors are A = number of mixing ports through which the vegetable oil was added (1, 2), B = temperature surrounding the mixer (cooled, ambient), C = mixing time (60, 80 sec), D = batch weight (1,500, 2,000 lb), and E = number of days of delays between mixing and packaging (1, 7). Between 125 and 150 packages of soup were sampled over an eight-hour period for each run in the design, and the standard deviation of package weight was used as the response variable. The design and resulting data are shown in Table 13E.7.
(a) The generator is E = −ABCD, the alternate fraction.
Answer to relevant QuestionsAn article in Quality Progress describes the use of factorial experiments to improve a silver powder production process. This product is used in conductive pastes to manufacture a wide variety of products ranging from ...Consider the leaf spring experiment in Exercise 14.9. Rework this problem, assuming that factors A, B, and C are easy to control but factors D and E are hard to control. Using equations (14.6) and (14.7), the mean and ...An article in the Electronic Journal of Biotechnology (“Optimization of Medium Composition for Transglutaminase Production by a Brazilian Soil Streptomyces sp.,”) describes the use of designed experiments to improve the ...An article in Rubber Chemistry and Technology (Vol. 47, 1974, pp. 825–836) describes an experiment that studies the relationship of the Mooney viscosity of rubber to several variables, including silica filler (parts per ...(a) Derive an item-by-item sequential-sampling plan for which p1 = 0.02, a = 0.05, p2 = 0.15, and β = 0.10. (b) Draw the OC curve for this plan.
Post your question