19.0760° N, 72.8777° E · Field atlas, surveyed since 2012
Supply-chain planning & technology practitioner — SAP IBP, o9, Kinaxis, OMP and S&OP — across pharma cold chain, FMCG and energy. I draw the analysis behind planning decisions: resilient networks, honest forecasts, integrated plans. Reproducible, from first principles. Lately, applied AI in the planning workflow.
Each study is an open expedition log — a real planning question, worked end to end in code, every number computed rather than asserted.
Passage 01 · Basel → Mumbai · Pharma cold chain
“Which node, if it fails, hurts most — and for how long?”
Every network quietly depends on a node nobody worries about. This study stress-tests each one in the Simchi-Levi tradition — Time-to-Recover measured against Time-to-Survive — and ranks failures by how deep the damage runs and how long it lingers. The riskiest node is rarely the obvious one; it is the one that never made it onto the map.
Read the expedition logPassage 02 · Rotterdam → Singapore · FMCG
“Is our forecast actually adding value — and where is it worst?”
Forecast Value Added in the Gilliland tradition, judged against a naive baseline that does not care about anyone's feelings. Then ADI/CV² segmentation after Syntetos–Boylan–Croston, to separate the demand you can forecast from the demand you should simply buffer. Some series deserve a statistician; others deserve a safety stock.
Read the expedition logPassage 03 · Houston → Lagos · Energy
“Base, upside, constrained — what do we commit, and what does it cost?”
Scenario reconciliation in the Wallace / Oliver Wight tradition: three demand futures pushed through rough-cut capacity until the trade-offs surface as numbers instead of opinions. The output is not a forecast — it is a commitment with a price tag attached, ready for the executive S&OP meeting.
Read the expedition logAll demo cargo is synthetic — and declared as such at customs.
A map is only useful if you can trust its maker. These are the drafting rules — held to whether the chart is for a boardroom or a repository.
Tools change every season. Knowing which question actually matters does not.
A good chart shows its own edges. Every conclusion ships with the conditions under which it breaks.
Seed everything. Same inputs, same answer — an analysis you cannot re-run is a rumour.
No figure without a trail back to the data. If it cannot be traced, it does not get plotted.
Demo cargo gets declared at customs. Nothing sails under a false flag.
“The forecast is a decision, not a prophecy.”
in supply-chain planning, functional and delivery
SAP IBP · o9 · Kinaxis · OMP · SAP APO
pharma cold chain · FMCG · energy
with a Big Four consulting practice
Charting a network, stress-testing a plan, or wiring AI into a planning workflow — the harbour is open. One email reaches the drafting table.