Supply Chain Data Analytics - Supply Chain Management I Data Science I Operations Research

Monte-carlo simulation in R for warehouse location risk assessment

deckgl [EN] Folium [EN] ggmap [EN] osmdata [EN] Python programming Python [EN] R programming Spatial data analysis

Spatial data visualization pipeline in Python and R

Animations gganimate [EN] ggmap [EN] R programming Spatial data analysis

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

Folium [EN] Pandas in Python [EN] Python programming Python [EN] Spatial data analysis

Spatial heatmaps in Python using Leaflet.js via Folium module

Monte-carlo simulation in R for warehouse location risk ...

Spatial data visualization pipeline in Python and R

Spatial data animation with ggmap and gganimate: A ...

Spatial heatmaps in Python using Leaflet.js via Folium ...

Models for network problems

Monte-carlo simulation in R for warehouse location risk assessment

November 28, 2021 / Linnart Felkl M.Sc.

Spatial proximity based clustering of customers

February 28, 2021 / Linnart Felkl M.Sc.

Locating multiple warehouses at center of mass (using R)

November 17, 2019 / Linnart Felkl M.Sc.

Proximity-based spatial customer grouping (in R)

November 17, 2019 / Linnart Felkl M.Sc.

Agent-based simulation

Developing an agent-based framework for simulation models in Python

April 19, 2020 / Linnart Felkl M.Sc.

A simple agent-based simulation run, visualized using Matplotlib in Python

April 5, 2020 / Linnart Felkl M.Sc.

Developing a simple agent-based simulation model in Python

March 22, 2020 / Linnart Felkl M.Sc.

Visualizing 2D grids and arrays using matplotlib in Python

March 21, 2020 / Linnart Felkl M.Sc.

Obtaining data

Analyzing global commodity trade with comtradr in R

November 1, 2021 / Linnart Felkl M.Sc.

Building efficient freight & trucking stock portfolios in Python

October 3, 2020 / Linnart Felkl M.Sc.

Analyzing UPS and FedEx stock returns with pandas datareader in Python

October 2, 2020 / Linnart Felkl M.Sc.

Testing tidycovid19, a covid19 data interface in R

April 16, 2020 / Linnart Felkl M.Sc.

Backlog simulation in FIFO production system

In this brief example I implement a simmer backlog simulation, using discrete-event simulation. I have stated that free tools such as simmer can be a strong support and can replace many of the commercial discrete-event simulation licenses currently in use. […]

Add()-method in pyautocad

In this blog post, I am going to discuss one of the most important methods in pyautocad i.e. Add(). This method opens up doors for creating a number of document-based objects as per AutoCAD’s Object model. For a more comprehensive […]

Artificially intelligent algorithms for optimization in Python

Following the previous articles on interfaces (+) and (exact) solvers (+) for optimization in Python, in this article, I introduce some packages that provide an easy-to-use “interface” for artificially intelligent algorithms (AIAs) (e.g., heuristics, meta-heuristics, math-heuristics, learn-heuristics, hyper-heuristics, or sim-heuristics). […]

Price optimization for maximum profit and inventory control

In this article I will provide a general introduction to the benefits of price optimization. I will furthermore demonstrate how price optimization can be facilitated with mathematical programming. In previous articles we already provided an example on optimal pricing with […]

Machine learning and discrete-event simulation: Exemplary applications

In this article I discuss machine learning as a supportive technology for making discrete-event simulation more resource efficient and effective. Discrete-event simulation is a technique used in manufacturing and logistics for problems that cannot be investigated with conventional analytical techniques. […]

Creating a support vector machine using Gekko in Python

In this blog post I model a support vector machine in Python. Previously, I modeled and solved the quadratic assignment problem (QAP) in Python using Pyomo (+). I described that the “similarity” of two facilities could be a reason for […]

Simmer R-package applied to simulate simple receival inspection process

In a previous blog post I documented simmer in R for discrete-event simulation. In this post I want to provide a more hands-on practical example. It is a very simple example, to be honest. Regardless of this, and regardless of […]

Solved: ‘Call was rejected by callee’ in pyautocad

In this blog post, I will discuss an error that occurs while automating tasks in AutoCAD using the pythoncom module.- The pythoncom module is a AutoCAD automatization module in Python. Also, I will provide a solution for the same. The […]

Quadratic assignment problem with Pyomo in Python

No matter if it is the assignment of departments to empty rooms in a building, machines to manufacturing cells, factories to geographical regions, products to racks in a warehouse, sensors to devices, edge computers inside the internet of things network, […]

Flow shop scheduling with PuLP in Python

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 […]

Pricing with linear demand function using Gekko in Python

How can we decide on a product or service price using observed data over time? For example, a retailer may have changed the price for a specific product in multiple time slots of a week, tested the demanded quantity (sales) […]

Single machine scheduling with PuLP in Python

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 […]

Integer programming for manufacturing implemented with CPLEX & DOCPLEX

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 […]

Using solvers for optimization in Python

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 […]

Visual Components financial KPI simulation

In this post I will introduce a modelling framework and simulation software named Visual Components. I will document a real-world use case, and demonstrate how I developed a custom simulation component for simulation-based financial KPI estimation. I have developed simulation […]

Older Posts

Monte-carlo simulation in R for warehouse location risk ...

Spatial data visualization pipeline in Python and R

Spatial data animation with ggmap and gganimate: A ...

Spatial heatmaps in Python using Leaflet.js via Folium ...

Models for network problems

Agent-based simulation

Obtaining data

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