A map of supply chain decisions, built for placement prep

I'm Dhiraj Badshe. While preparing for supply chain interviews, I kept finding the same gap: textbooks explain concepts chapter by chapter, but interviews ask about decisions, such as how much stock to hold, where a warehouse should go, or why a forecast keeps missing. Decision Atlas is the study guide I wanted: every topic framed as a decision, explained at the depth you choose, and finished with the questions interviewers ask.

How it is organized

Topics sit on lines, like a transit map. Lines are grouped by how far ahead a decision looks: Plan (months), Design (years), Run (days to weeks) and Protect (always on). Two starter lines cover foundations and analytical tools, and a final line, SAP in practice, shows how the ideas run inside an ERP.

Every stop can be read at three depths:

1. Gist. The idea in plain words with an everyday example, in about two minutes.
2. How it works. Formulas, a worked example and, where it helps, a live lab.
3. Deep dive. Edge cases, traps and how companies actually do it.

Each stop ends with an interview kit: a 30-second answer and practice questions with model answers.

How this was made

The content comes from my own study notes and coursework, including hands-on work in SAP S/4HANA. Topic coverage was cross-checked against several public supply chain frameworks so that nothing important is missing. I used AI tools to help structure and draft explanations, then check the maths and wording myself.

Every stop shows its status. Draft means it is written but still being checked line by line. Checked means I have verified every number and claim against the sources listed at the bottom of the page. If you spot a mistake, please tell me and I will fix it.

Try it hands-on

If you want to see these decisions interact, Tributary is a supply chain digital twin I built: it forecasts demand, picks a warehouse network, sizes inventory and simulates a year of operations in the browser.

Use and credit

You are welcome to share and adapt the text for non-commercial use with credit (CC BY-NC 4.0). The code is MIT licensed. Decision Atlas is an independent project and is not affiliated with any company or software vendor mentioned on the site.