Vendor-managed inventory (VMI) is a popular policy in supply chain management (SCM) to
decrease bullwhip effect. Since the transportation cost plays an important role in VMI and …

This work examines the effect of selected process parameters on the diameter of uniform
and heterogeneous fibers (with and without bead-on-string structures) and the size of beads …

The modeling of slurry-phase reactors for petroleum hydrocracking has been reviewed and
analyzed. A general description of the flow regime was proposed, and it is anticipated that …

A model predictive control (MPC) method based on recursive backpropagation (RBP) neural
network and genetic algorithm (GA) is proposed for a class of nonlinear systems with time …

This study aims to analyze the effect of genetic algorithm parameters on the distribution
mileage of the largest logistics service provider in Central Jakarta using a general full …

This work presents the mathematical modeling of the cephalosporin C (CPC) adsorption
process in a fixed-bed column. The application of Particle Swarm Optimization (PSO) …

Analog methods are based on a statistical relationship between synoptic meteorological
variables (predictors) and local weather (predictand, to be predicted). This relationship is …

ABSTRACT The Langmuir–Hinshelwood–Hougen–Watson (LHHW) kinetic model was
developed for acetylation of glycerol over highly stable and active 2 M SO42−/γ‐Al2O3 …

Understanding the influence of process conditions on the properties of pharmaceutical
products is critical to their optimal and cost-effective design and manufacture. The aim of this …

Many genetic algorithms (GA) have been applied to solve different NP‐complete
combinatorial optimization problems so far. The striking point of using GA refers to selecting …