In previous articles, I modeled and solved a single machine scheduling problem. What if we have two resources that operate in a pre-determined sequence (but not in parallel) to process a set of similar jobs? The so-called “flow shop” scheduling…
There are many use cases of operations research (OR) where the decision problem is finding an optimal sequence over time. For instance, we may be interested in allocating a resource (e.g., a machine, a human, a facility, a plane, a…
Thanks to the evolution of Python and its applications to solve linear programs and their variations supply chain and operations research analysts now have access to numerous packages and tools that support decision making. In this article I will use…
Following the previous article on modeling and solving an optimization problem in Python using several “interfaces” (+), in this article, I try to provide a comprehensive review of open-source (OS), free, free & open-source (FOSS), and commercial “solvers,” which are…
Operations Research (OR) involves experiments with optimization models. The aim is to find the best design, plan, or decision for a system or a human. Accordingly, these models consist of objectives and constraints. However, most of the available packages or…