This post is a bit of a capstone. It utilizes all of the tools to make video games scientifically that I covered in the Parts 1-6 of “Game Planning With Science”. Make sure you’ve reviewed those weighty tomes before digging in here. In this post, I’m going to walk you through how to utilize capacity charts, story points, user stories, variance, and the central limit theorem to forecast development time lines.
In Part 1 of Game Planning With Science, I covered the fundamentals of operations management: critical paths, bottlenecks, and Little’s Law. If you haven’t read Part 1 yet, I suggest you do. Unless you’re familiar with the equations behind those concepts, Part 2 will be a little tricky to follow. But if you’re up to speed, read on. In Part 2, I’m going to walk you through how to assemble a capacity chart. You can use capacity charts to optimize your character art pipelines and add resources where they will do the most good.
The fundamental tools of operations science (also called decision science) were designed with factories and warehouses in mind. But they are easily applicable to video game art asset pipelines. In this post, I’ll walk you through the basics of how operation science looks at pipelines, called “process flows” in operations speak.