Major·Fluent

№ 16 · 8 modules × roughly 3 hours

Operations / Supply Chain

Master the discipline of flow, bottlenecks, and getting things made and delivered — from raw material to the customer's hands.

In 24 hours you will become conversant in Operations and Supply Chain Management's vocabulary, mental models, and frameworks — able to read a process, spot the bottleneck, see waste and variability, and reason clearly about cost/quality/speed/flexibility tradeoffs — without claiming the professional credential that real operations work demands.

Time
8 modules × roughly 3 hours
Difficulty
Introductory but serious
Adjacent fields
Business Administration · Data Science · Economics · Engineering Foundations · Product Management

Contents

8 modules · ~3h each · ~24h total
01
Field Orientation

Establish what operations and supply chain management actually is — the discipline of designing and running the processes that make and deliver goods and services — and orient the learner to the cost/quality/speed/flexibility tradeoffs, the scope of the field, and the honest limits of what fluency buys them.

02
Vocabulary Immersion

Build rapid, accurate fluency in the four vocabulary clusters that underpin all operations and supply chain thinking — process and flow, inventory and lean, quality and improvement, supply chain and logistics — resolving the confusions that most trip up new learners before they calcify into bad mental models.

03
Mental Models

Install the seven operational reflexes — bottleneck-first, flow over utilization, variability as the enemy, inventory as buffer and waste, optimize the whole, everything is a tradeoff, efficiency versus resilience — so they fire automatically when you read any process.

04
Frameworks and Theories

Equip learners with the major analytical frameworks of operations and supply chain management — Theory of Constraints, Lean/TPS, Six Sigma, Little's Law, inventory models, supply chain design, and queuing theory — as precision lenses for diagnosing real process and supply-chain problems, while being explicit about each framework's limits and the judgment required to apply them well.

05
Methods and Tools

Build hands-on fluency with the core operational measurement and improvement methods — process mapping, control charts, forecasting, capacity planning, and continuous improvement cycles — so you can read a process with data rather than gut, distinguish signal from noise, and apply the right tool to the right problem.

06
Canonical Cases and Debates

Anchor the course's frameworks in the thinkers who built them and the real cases that tested them — learning to use cases honestly, see survivorship bias, and hold the five core debates without cheap resolution.

07
Applied Project Studio

Guide learners through building a structured process-improvement proposal on a real observable process — mapping every step, locating the true bottleneck, cataloguing waste and variability, proposing framework-grounded improvements with honest tradeoff analysis, and red-teaming their own conclusions.

08
Synthesis and Fit

Fire all the fluent reflexes in one integrated pass — bottleneck, flow, variability, tradeoff, efficiency vs resilience — while being honest about what seven modules of conceptual work actually gives you and what it cannot.

After this sprint, you can…

Fluency, not mastery
  • Use Operations / Supply Chain's core vocabulary without bluffing.
  • Recognize the field’s major debates and the tradeoffs behind them.
  • Ask sharper questions of practitioners, books, courses, and AI tools.
  • Read entry-level sources with enough context to judge them.
  • Spot common beginner overclaims — including ones an AI might make.
  • Decide whether deeper study, expert help, or formal training is worth it.

Canonical frameworks

  • Process analysis and Little's Law (WIP = Throughput × Lead Time — the mathematical foundation of flow management)
  • The Theory of Constraints — identify, exploit, subordinate, elevate, repeat: the system is only as fast as its bottleneck
  • Lean and the Toyota Production System — the seven wastes, value stream mapping, JIT, kanban, and jidoka: flow and waste elimination
  • Six Sigma and DMAIC — define, measure, analyze, improve, control: reducing variation through data and root-cause discipline
  • Inventory management models — EOQ, safety stock, reorder points, and the bullwhip effect: managing the cost and risk of holding stock
  • Supply chain design — the efficiency-vs-responsiveness tradeoff, push vs pull, make-to-stock vs make-to-order, and the resilience-vs-efficiency frontier
  • Quality management and statistical process control — Deming's distinction between common-cause and special-cause variation, and why tampering makes processes worse

Live debates

  • Lean/just-in-time efficiency vs supply-chain resilience: how much buffer is rational?
    This debate defines how trillions of dollars of global supply chains are configured; the COVID-19 shortages in PPE, chips, and pharmaceuticals made it a national security and industrial policy question, not just an operations-management one.
  • Globalization and offshoring vs reshoring and nearshoring: where should production be located?
    The reshoring vs offshoring question is reshaping manufacturing investment, trade policy, and employment in every major economy — and the operations frameworks for analyzing it (total landed cost, risk-adjusted cost, resilience value) are directly applicable skills.
  • Automation vs human labor: how far should operations mechanize, and what does it cost?
    Every major operations investment now involves automation decisions with significant implications for workforce, cost structure, and competitive positioning — and the frameworks for analyzing make-vs-buy, ROI, and transition risk are central to operations management.
  • Make vs buy (vertical integration vs outsourcing): how much of the supply chain should a firm own?
    Make vs buy is one of the most consequential and irreversible strategic decisions an operations leader makes; getting it wrong (as Boeing did with the 787 fuselage sections) can cost billions and years — and the analytical frameworks from operations directly inform it.
  • Local efficiency vs system flow: should you maximize utilization of every resource or optimize for overall throughput?
    This debate explains why cost-cutting initiatives that make every department look 'efficient' often destroy organizational performance — the local-vs-global optimization error is one of the most common and costly mistakes in operations management.

Source trail

7 notes
  1. Eliyahu M. Goldratt and Jeff Cox, The Goal: A Process of Ongoing Improvement (North River Press, 1984) — the foundational Theory of Constraints narrative
  2. Taiichi Ohno, Toyota Production System: Beyond Large-Scale Production (Productivity Press, 1988) — the primary source on lean, JIT, and the seven wastes
  3. James P. Womack and Daniel T. Jones, Lean Thinking: Banish Waste and Create Wealth in Your Corporation (Simon & Schuster, 1996) — the definitive Western synthesis of lean principles
  4. Sunil Chopra and Peter Meindl, Supply Chain Management: Strategy, Planning, and Operation (Pearson, 6th ed. 2016) — the leading graduate-level supply chain textbook
  5. W. Edwards Deming, Out of the Crisis (MIT Press, 1986) — quality management, statistical process control, and the 14 points for management
  6. Wallace J. Hopp and Mark L. Spearman, Factory Physics: Foundations of Manufacturing Management (Waveland Press, 3rd ed. 2011) — rigorous treatment of flow, variability, Little's Law, and queuing
  7. APICS/ASCM Supply Chain Operations Reference (SCOR) model and APICS CPIM Body of Knowledge — the practitioner-standard frameworks for supply chain design and inventory management

Watch the field

3 curated videos · included

This field includes a curated shelf of 3 hand-picked free explainer videos — vetted from trusted educators and embedded so you can watch them in context, without falling down the YouTube rabbit hole. A small bonus on top of the eight-module sprint; it unlocks with the field.

Ask better questions of AI

Fluency is leverage

Fluency in Operations / Supply Chain makes AI far more useful: you know what to ask, you can judge the answer, and you know when to check a primary source or a practitioner instead. Once you've done this sprint, prompts like these get real work done — using the field's own frameworks and debates:

  • I'm new to Operations / Supply Chain. Define <term> the way a practitioner would, give one realistic example, and flag where beginners misuse it.
  • Apply Process analysis and Little's Law (WIP = Throughput × Lead Time — the mathematical foundation of flow management) to <my situation> and show your reasoning — then list what could make this analysis wrong.
  • Lay out both sides of: Lean/just-in-time efficiency vs supply-chain resilience: how much buffer is rational? Give the strongest evidence for each, and say where practitioners still disagree.
  • Critique my plan using The Theory of Constraints — identify, exploit, subordinate, elevate, repeat: the system is only as fast as its bottleneck. What assumptions would a Operations / Supply Chain practitioner question?
  • What primary sources or practitioners should I check before trusting your answer on <topic> in Operations / Supply Chain?

Expert · AI · Source. Use AI to orient and draft, primary sources to verify claims that matter, and a practitioner when judgment, liability, or nuance is on the line. Fluency is what lets you tell which is which.

What this sprint does not do

This is field fluency, not mastery — and not credit, licensure, or professional authority. It does not qualify you to practice Operations / Supply Chain where supervision, certification, or a license is required. It gives you the operating language and judgment to learn faster, ask better questions, work with AI and experts, and decide your next move.