Supply Chain Science
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Alignment and Decisions in Modern Supply Chains
Joannes Vermorel contrasts Gattorna’s dynamic alignment with a decision-centric, probabilistic view of supply chains grounded in risk-adjusted cash.
A Reflection on David Simchi-Levi’s Work
Joannes Vermorel contrasts his software-driven view of supply chain with David Simchi-Levi, stressing uncertainty, optionality and automated decisions.
Probabilities, Not Scenarios
Joannes Vermorel analyzes why supply chains should replace scenario planning with probabilistic, economics-driven decisions that treat every order as a bet under uncertainty.
Rethinking Division of Labor in the Age of Automated Supply Chains
Joannes Vermorel rethinks division of labor as automated decision engines reshaping supply-chain roles, reducing manual planning and clarifying accountability across functions.
From Maturity to Mastery in Supply Chain
Joannes Vermorel explains why supply chain 'maturity levels' mislead, and how decision mastery and economic impact form a better compass.
Faster Than “One‑Click”: Why Programmable Supply Chains Win on Speed
Joannes Vermorel analyzes why programmable supply chains outpace packaged software on speed, by turning decision logic into code that can adapt in days, not months.
Mechanical Sympathy: The Missing Ingredient in Supply Chain Software
Joannes Vermorel shows how mechanical sympathy for hardware turns supply chain software from sluggish bottleneck into fast, economical engines for better decisions.
Why ERP Will Never Run Your Supply Chain
Joannes Vermorel explains why ERP systems, built for transactions not thinking, cannot ever be the true decision-making brain of your supply chain.
Men, Machines, and the Real Work of Supply Chain
Joannes Vermorel argues that modern supply chains demand automated, software-driven decisions, redefining planners as architects and stewards of the decision machinery.
When Supply Chains Fight Back Against Their Own Playbook
Joannes Vermorel argues supply chains are contested systems, shaped by incentives and biased playbooks, not neutral networks awaiting optimization.