The mining industry has seen a significant drive in technological advancements over the last couple of years, from the automation of mobile equipment, remote operation control centers, to smart cameras that improve surveillance and security. But one aspect of mining […]
Julia includes many packages that could be used in operation research and optimization in general. This article serves as a brief introduction to different packages available in Julia’s ecosystem. I will focus on two packages that are stepping-stones in future […]
After having introduced in one of my previous posts optimization and linear programming, I explain the basics of the Julia programming language in this article. The article represents a tutorial and is based on the official Julia documentation. My tutorial […]
Together with my co-authors I am proud to see that we have achieved a substantial amount of coding examples and use cases on this blog. Our contribution related to Python are growing. For this reason I want to keep publishing […]
In this short article I introduce the haven package in R, and how it can be used for importing data from SPSS in SAV-file format into R. I already demonstrated this as part of a longer coding example, in which […]
As a result of the emergence and progress of open-source languages SCM and OR analysts have access to a growing number of constantly improving tools and solvers. Julia, for example, is a flexible dynamic open-source programming language that is appropriate […]
In previous posts we have covered various linear programming examples in both Python and R. We have e.g. introduced lpSolve in R, PuLP in Python, Gekko in Python, MIP in Python, ortools in Python as well as many other packages […]
Having introduced basic time-series analysis techniques such as CAGR-based forecasting and moving averages in both Python and R and now want to re-publish an old LinkedIn-article in which I covered time-series forecasting in R. In this article I will briefly […]
In this blog post I will discuss one of the basic types of linked lists i.e. singly-linked lists. This is one of the important and simple data structure types. Furthermore, this is a data structure that can be defined by […]
In one of my previous blog posts, I discussed how we can use lists and dictionaries for storing AutoCAD objects created. In this post I want to introduce some more efficient data structures that we can use for organizing AutoCAD […]
Monte-carlo simulation is a very popular technique when it comes to risk assessment. In previous posts I have introduced implementations of monte-carlo simulations in Python and R. I e.g. used monte-carlo simulation to assess the risk associated with price developments of […]
This post provides a quick tutorial on how to comment Python code. There are three ways of commenting Python code: Single-line comments Multi-line comments Docstring comments Single-line comments In Python, single-line comments can be implemented with the # operator. This […]
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 […]
In my previous post I discussed and demonstrated how to check for intersecting AutoCAD objects with pyautocad in Python. In this post I want to do something similar yet different: I want to show how you can extend AutoCAD objects […]
In this blog post I will be discussing the IntersectWith method for dealing with intersecting objects in AutoCAD. The method can be used for identifying intersecting AutoCAD objects. It can also be used in combination with object extensions, i.e. when […]
