01. Design and Analysis of Experiments

TL;DR: It is shown that redistribution can significantly improve the performance of the relief operation and the proposed model and solution algorithm can produce high-quality solutions in a reasonable time.

TL;DR: In this article , a critical review of the multi-domain literature is presented, highlighting the shortcomings in the design, deployment, and documentation of multidimensional studies, emphasizing the need for quality improvements of future multidomain research.

TL;DR: A decision making model based on fuzzy inference is proposed to help predicting the impact on CPV of the performance indicators of the SCOR® (Supply Chain Operations Reference) model.

TL;DR: This work addresses a service resource routing and scheduling problem with sharing strategy among multiple HHC centers for given customers and proposes a multi-objective artificial bee colony algorithm with problem-specific knowledge (MABC-PK) for solving the concerned problem.

TL;DR: In this paper, it is shown that Tukey's test of additivity is equivalent to the test of a regression coefficient in a model with a single covariate, and the derivation given is general for the standard experimental designs, such as complete and incomplete randomized blocks and Latin squares.

TL;DR: In this paper, the authors provide a detailed discussion of the calculation of sample sizes using the width of confidence intervals for pairwise comparisons, treatment-versus-control comparisons, trends, and difference of averages.

TL;DR: In this article, an alternate formula for computing the adjusted treatment sum of squares for Group Divisible Partially Balanced Incomplete Block Designs (GD-PBIB) was proposed.

TL;DR: The authors summarize information scattered in the technical literature on a subject too new to be included in most textbooks, but which is of interest to statisticians, and those who use statistics in science and education, at an advanced undergraduate or higher level.