The design and analysis of experiments (DOE) has historically been an important part education in statistics, with the increasing complexity modern production processes advent large-scale online experiments, it continues to be highly relevant. In this article, we provide extensive review literature on DOE pedagogy, five perspectives subject: one from each authors as well a composite profile der...

the application of a flight simulator with six degree of freedom (6dof)) in design and analysis of rocket systems is essential. the calibration of a 6dof flight simulator is a challenging problem. this paper focuses on the calibration of a flight simulator and intends to answer the following questions: 1) does experimental design have significant impact on calibration quality? if so, which expe...

Abstract In this work, Norway spruce ( Picea abies (Karst) L.) bark was employed as a precursor to prepare activated carbon using zinc chloride (ZnCl 2 ) chemical activator. The purpose of study determine optimal (AC) preparation variables by the response surface methodology Box–Behnken design (BBD) obtain AC with high specific area (S BET ), mesopore MESO and micropore MICR ). Variables levels...

Electromagnetic design problems usually involve a large number of varying parameters. A designer can use different kinds of models in order to achieve optimum design. Some models, e.g., finite-element model, can be very precise: however, it requires large computational costs (i.e., CPU time). Therefore, the designer should use a screening process to reduce the number of parameters in order to r...

among various heuristics techniques, genetic algorithm (ga) is one of the most widely used techniques which has successfully been applied on a variety of complex combinatorial problems. the performance of ga largely depends on the proper selection of its parameters values; including crossover mechanism, probability of crossover, population size and mutation rate and selection percent. in this p...

The Network Design Problem (NDP) is one of the important problems in combinatorial optimization. Among the network design problems, the Multicommodity Capacitated Network Design (MCND) problem has numerous applications in transportation, logistics, telecommunication, and production systems. The MCND problems with splittable flow variables are NP-hard, which means they require exponential time t...

the oil content of the wax produced in a dewaxing process is the key economic parameter thatshould be reduced as much as possible. some factors such as the type of solvents, cooling rate,temperature, and solvent to oil ratio influence the dewaxing process. due to the fact that crude oildiffers from place to place and since the operational conditions for wax extraction vary for differenttypes of...