This article studies an energy-efficient scheduling problem in a two-stage manufacturing system with distributed heterogeneous hybrid flow shops and mixed-model assembly lines (EDHHFSP-MMAL). A ...

We introduce a fast stepwise regression method, called the orthogonal greedy algorithm (OGA), that selects input variables to enter a p-dimensional linear regression model (with p ≫ n, the sample size ...

An international research team has tested a hybrid control technique combining adapted perturb and observe (APO) with model-predictive control to address complex partial shading in solar arrays ...

Discover what black box models are, their applications in finance and investing, and examples of how they drive decision-making without revealing internal processes.

A timeline of ChatGPT product updates and releases, starting with the latest, which we’ve been updating throughout the year.

A novel Mixed-Integer Linear Programming (MILP) model based on continuous time and batch volume formulation is proposed. The objective is to maximize the main pipeline utilization rate for phosphate ...

The purpose of this paper is to explore the application of K-Means cluster analysis and linear programming model in agricultural production. Firstly, the linear programming model is used to formulate ...

The calculation of spinodals for mixtures composed of many macromolecular components (N ≥ 2, not counting the solvent explicitly as a component) for a model including interactions up to quadratic ...