Data Science for Production & Logistics
This script is designed as supporting material for data Science course with a special focus on production and logistics applications. Descriptions, discussion and theoretical background information are kept brief as these are primarily presented in class. As the title implies the course puts a focus on applying R for solving and displaying typical planning problems encountered in production & logistics management. Thus, rather large part of the course is dedicated to programming and optimization. Data manipulation, handling and visualization are only briefly discussed. Statistical applications are not part of the course (except for basic elements like mean or normal distribution).
Throughout the script, the provided R code should executed by the reader to get a fealing how R behaves. The examples chosen typically stem from production and logistics problems. In each section, exercise are given which vary in complexity. Although the script is as far as possible self-contained, these exercises require some knowledge about production, logistics, and supply chain management. Exercises are discussed and solved in class.