More and more factors have an influence on effectiveness and efficiency in logistical processes and systems. An important question of science is to identify the most important factors of control complex logistical processes and systems, to know their levels and influences to control all things...

In product and process optimization, it is common to have multiple responses to be optimized. This is called multi-response optimization (MRO). When optimizing multiple responses, it is important to consider variability as well as mean of the multiple responses. The authors call this problem as...

This paper addresses the study of the pre-experimental planning phase of the Design of Experiments (DoE) in order to improve the final product quality. The pre-experimental planning phase includes a clear identification of the problem statement, selection of control factors and their respective...

In many randomized trials, subjects enter the sample sequentially. Because the covariates for all units are not known in advance, standard methods of stratification do not apply. We describe and assess the method of DA-optimal sequential allocation (Atkinson, 1982) for balancing stratification...

In many randomized trials, subjects enter the sample sequentially. Because the covariates for all units are not known in advance, standard methods of stratification do not apply. We describe and assess the method of DA-optimal sequential allocation (Atkinson, 1982) for balancing stratification...

There is a growing interest in applying robust techniques for profiling complex processes in industry. In this work, we present an approach for analyzing fractional-factorial data by building distribution-free models suitable for dealing with replicated trials in search of non-linear effects....

Design of Experiments and Reliability are two well known statistical techniques very useful in efforts towards the improvement of industrial products. Usually these two tools are applied separately, leading practitioners to believe they are fit to solve problems of a different matter. This...

Agent-based models have recently become very popular. However, it is often difficult to communicate the models' complexity and assumptions. Hence, criticising them becomes a challenging task. This paper addresses this problem and discusses different ways to increase the transparency and...