In industrial experimentation there is growing interest in studies that span more than one processing step. Convenience often dictates restrictions in randomization in passing from one processing step to another. When the study encompasses three processing steps, this leads to split-split-plot...

Split-plot and other multi-stratum structures are widely used in factorial and response surface experiments and residual maximum likelihood (REML) and generalized least squares (GLS) estimation is seen as the state-of-the-art method of data analysis for nonorthogonal designs. We analyze data...

Despite the fact that many conjoint choice experiments offer respondents a no-choice option in every choice set, the optimal design of conjoint choice experiments involving no-choice options has received only a limited amount of attention in the literature. In this article, we present an...

Response surface experiments often involve only quantitative factors, and the response is fit using a full quadratic model in these factors. The term response surface implies that interest in these studies is more on prediction than parameter estimation since the points on the fitted surface are...

In a discrete choice experiment, each respondent chooses the best product or service sequentially from many groups or choice sets of alternative goods. The alternatives, called profiles, are described by level combinations from a set of predefined attributes. Respondents sometimes make their...

Many factorial experiments yield categorical response data. Moreover, the experiments are often run under a restricted randomization for logistical reasons and/or because of time and cost constraints. The combination of categorical data and restricted randomization necessitates the use of...

We focus on the D-optimal design of screening experiments involving main-effects regression models, especially with large numbers of factors and observations. We propose a new selection strategy for the coordinate-exchange algorithm based on an orthogonality measure of the design. Computational...

Airport competition is a topic which recently gained interest in transport research. However, many studies about airport competition focus on passengers or passenger operations. Research about airport competition for air cargo is still scarce. This paper contributes to the understanding of this...

Through a discrete choice experiment we elicited the Belgian adult population’s (18-75y; N = 750) preferences for prioritizing health care. We used a Bayesian D-efficient design with partial profiles, which enables considering a large number of attributes and interaction effects. We included...

Due to the globalization and the fragmentation of industrial production processes, the logistics sector, which organizes the linkages between different production plants and the market, is growing fast. This results in an increasing demand for suitable new business locations. Previous research...