This page gives a quick overview of my supply chain work: business case studies first, then the simulator methodology behind the data.
A multi-echelon planning study showing why long lead times move the whole cost-service frontier, why capacity cannot fully rescue the economics, and where lead-time reduction should be prioritized across demand families.
Read featured case study See all case studiesA discrete-event simulation environment for testing multi-echelon planning decisions under lead-time uncertainty, backlog pressure, pipeline exposure, and capacity constraints. This deep-dive explains how the case-study data is generated, how the engine is structured, and how policy behaviour is validated under fixed assumptions.
Read engine deep dive