This paper develops an MILP model, named Satisfactory-Green Vehicle Routing Problem. It consists of routing a heterogeneous fleet of vehicles in order to serve a set of customers within predefined time windows. In this model in addition to the traditional objective of the VRP, both the pollution and customers’ satisfaction have been taken into account. Meanwhile, the introduced model prepares a...

SAS® PROC GLIMMIX fits generalized linear mixed models for nonnormal data with random effects, thus combining features of both PROC GENMOD and PROC MIXED. I will review the ideas behind PROC GLIMMIX and offer examples of Poisson and binary data. PROC NLMIXED also has the capacity to fit these kinds of models. After a brief introduction to that procedure, I will show an example of a zero-inflate...

Example Description 1 Tracer lot stability data { classical linear mixed eeects model 2 Pill dissolution data { classical linear mixed eeects model 3 Rat pup weight data { classical linear mixed eeects model 4 CD4 trajectories { linear mixed model with nonconstant intra-subject variance 5 Soybean growth study { nonlinear mixed model with nonconstant within-plot variance 6 Population PK study of...

This paper mainly illustrates how to use PROC MIXED to fit linear mixed models in clinical trials. We first introduce the statistical background of linear mixed models. We explore the situations under which the mixed effects are identified. A randomized complete block design is used to explain the difference between PROC GLM and PROC MIXED in dealing with the linear mixed models. Examples inclu...