Linnart Felkl M.Sc., Author at SCM data

Spatial data visualization pipeline in Python and R

This article introduces the concept of spatial data visualization pipeline in R or Python. I have written various posts covering spatial data visualization for supply chain analysis and management, in both R and Python. Relevant libraries comprise e.g. Leaflet in […]

Spatial data animation with ggmap and gganimate: A use case example

Following a series of introductionary posts on spatial data visualization in R, covering packages such as ggmap, leaflet, tidygeocoder, geopy, deckgl and osmdata, I here present a framework utilizing some relevant packages. The framework was developed in R. It was […]

Object identities in Python

In Python there is an inbuilt function for viewing the identity of an object. Id() returns the identity of an object. The identity of an object is a unique integer value. The identity is unique during the lifetime of an […]

bool() function in Python

As part of our Python documentation I introduce the bool() function in Python. The bool() function in Python implements default truth testing for converting an input argument into a Boolean value. The function returns the converted Boolean value. The bool() […]

Scalarizing multi-objective optimization problems: Method comparison

I already introduced various coding examples implementing multi-objective optimization. In these examples I implemented different strategies for searching a multi-objective optimum. One of these strategies was based on scalarizing multiple objectives into a single objective function using weights for each […]

Importing SAV file into R, using the “haven” package

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. In previous posts I demonstrated how to read in data in R from […]

Simulation technique for SCM: Selection criteria for SCM analysts

Simulation is becoming increasingly popular for factory planning, process design, supply chain optimization and supply chain management. In this article I provide a basic overview and introduction of relevant simulation techniques. It is important to point out that when choosing […]

Three basic paradigms of machine learning

In previous posts, we have introduced exemplary machine learning algorithms for common real-world problems. We e.g. introduced optimization for shallow learning and deep learning models. In this article, we want to clarify the three main paradigms of machine learning. These […]

An introduction to simple conveyor line models in AnyLogic

This post is the first post in an upcoming series of posts on AnyLogic simulation modelling. I want to introduce basic material handling system simulation modelling using AnyLogic as a discrete-event simulation machine and modelling environment. I will use AnyLogic’s […]

Spatial proximity based clustering of customers

Providing a coding example for how to conduct spatial proximity customer clustering, applicable e.g. when searching for multiple centers of gravity (i.e. when wanting to locate multiple warehouses). The logic and approach is the same as in any kind of distance based […]

Implementing SELECT statements in Python for SQLite3 database

In a previous post on SQLite 3 and Python I added two related tables to a SQLite 3 database, usign Pyhton. The tables are called universitiesTBxx and studentsTBxx. Both tables are stored in a database called “newDatabase.db”. Students are enlisted […]

Adding entries into related SQLite 3 database tables in Python

In a previous post I already demonstarted how one can connect to a SQLite 3 database in Python and how one can create tables in the connected database. I also demonstrate how one can write data into a table created […]

Setting up databases and data tables in SQLite via Python

In this post I will demonstrate how you can create SQL databases powered by SQLite as a database engine in Python. I will be using the sqlite3 engine. The SQLite driver is installed by default through the Python installation itself. […]

Indexing Python dictionaries with tuples

In Python it is possible to index dictionaries with tuples. I made use of this technique in one of my previous posts, covering constraint programming with Google OR-tools in Python. I demonstrate the technique in the coding example below: # […]

Constraint programming for work scheduling with Google OR-Tools

In previous posts I have already introduced Google OR tools for linear programming. In this post I want to demonstrate the capabilities of Google OR tools for constraint programming. More specifically, I will solve a job scheduling problem using constraint […]

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Linnart Felkl M.Sc.

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