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Prevention
Attacks the root causes before waste occurs
Inspection
Catches defects already created
Act
Standardize success or revise and repeat
Plan
Identify the problem and hypothesize cause
Do
Run a small-scale, controlled experiment
Check
Measure results against initial baseline data
Master black belt
Organizational leader coaching other belts
Black belt
Full time professional solving complex defects at amazon/GE
Green belt
Part-time leader of functional products
Highly relevant for supply chain
Commands notable salary premiums
Yellow belt
Team member with basic awareness
Value
Defined strictly from the end customer’s perspective
Value stream
Mapping every action from raw material to delivery
Flow
Moving products continuously without waiting or batching
Pull
Producing only when triggered by actual downstream demand
Perfection
Continuously repeating the cycle to eliminate newly exposed waste
Push systems
Build to forecast, creating inventory and waste
Pull systems
Produce when triggered by actual demand
Reduces forecast dependence and minimizes the bullwhip effect
Replenishment driven by actual consumption, not monthly guesses
Overproduction
Producing more than needed generates all other forms of waste
Requires transportation, storage, and unnecessary human motion
Freezes working capital and hides critical quality defects
Equivalent of upstream bullwhip effect amplification
A true pull system structurally prevents overproduction from occurring
Just in time(JIT) Foundations
Synchronizes production and delivery tightly with actual customer demand
Eliminates inventory buffers to expose hidden process inefficiencies
Demands exceptional quality, as defects immediately stop the flow
Assumes a fundamentally stable and predictable supply chain environment
Eliminates the exact buffers that protect against unexpected shocks
Dominates low-risk, high-velocity, commodity operations
Relies on stable, predictable supply environments
Just in case(JIC) Foundations
Holds strategic buffer inventory to absorb unexpected supply disruptions
Prioritizes supply chain resilience over pure capital efficiency
Protects against volatile demand and geographically concentrated supply risks
Accepts higher carrying costs as a necessary insurance policy
Acknowledge that perfect flow is impossible in extreme uncertainty
Protects critical, high-risk, single-source components
Toyota Production System(TPS)
The absolute foundation of modern lean thinking
Kanban
Visual signals triggering pull-based inventory replenishment
Replaces forecast-based push pull with pure consumption-based pull
Nothing is produced without explicit ________ authorization
Restricts work-in-progress inventory to strict, manageable limits
Drastically reduced overproduction and the dreaded Bullwhip Effect
Jidoka
Embedding quality directly at the production source
Halts production immediately when any defects occur
Poka-yoke
Mistake-proofing operations to physically prevent errors
Physically prevents human errors from happening entirely
Andon Cord
Empowers every worker to stop lines
Prevents defective units from advancing and accumulating value
Value Stream Mapping
Maps material and info flow across the supply chain
Visualizes both value-adding activities and hidden systemic waste
Current state maps reveal massive non-value-adding waiting times
Future state maps provide precise blueprints for lean transformation
Cycle stock
Averages accumulated from ordering in large batches
Safety stock
Buffers protecting against demand and lead-time uncertainty
Anticipation
Pre-built stock for known future demand peaks
Pipeline
Goods physically in transit between supply chain nodes
Decoupling
Buffers isolating process stages with different operating speeds
Holding costs
Capital, space, insurance, and obsolescence expenses
Punish excess inventory and infrequent bulk ordering
Ordering cost
Fixed expenses per purchase order placed
Punish overly frequent, small-batch replenishment cycles
Stockout cost
Lot sales, expedited freight, and brand damage
Trigger bullwhip effect, amplifying supply chain instability
Purchase cost
Unit price paid to the supplier
Basic EOQ(Fixed Price)
Assumes the purchase price remains fixed
The optimal decision requires a mathematical trade-off analysis
Discount EOQ(Variable Price)
Suppliers often reduce unit prices for large orders
Purchase cost becomes a dynamic decision variable
Larger orders yield savings but drive up holding
All-units discount logic
Reduced prices apply to the entire order quantity
Crossing a threshold triggers immediate purchase savings
Holding costs must be recalculated for each tier
Lower unit prices inherently lower per-unit holding cost
Independent demand
External
Must be forecasted
Dependent
Internal
Can be mathematically calculated
Bill of materials
Provides the exact structured recipe for each finished product
Lists all sub-assemblies, components, and raw materials needed
Specifies the exact quantity required per parent item
Maps the precise manufacturing sequence for production
Ensures calculations match the physical assembly requirements
BOM Explosion
Multiplying requirements down through the product recipe
Netting
Subtracting existing on hand inventory from total gross requirements
Time-phasing
Offsetting order dates backward by supplier lead times
Planned order releases
The system schedule for placing exact purchase orders
Enterprise Resource Planning(ERP)
Acts as a single database for the entire firm
Eliminates disconnected functional data silos
Integrates MRP directly with finance and procurement
Ensures all departments plan from identical inventory reality
Automates cross-functional workflows instantly
Electronic Data Interchange(EDI)
Enables standardized computer-to-computer business communication
Eliminates manual re-entry between buyer and supplier systems
Transmits automated purchase orders directly to suppliers
Sends advanced ship notices prior to physical delivery
Accelerates supply chain info flow in real time
Vendor Managed Inventory(VMI)
Transfer replenishment responsibility directly to the supplier
Suppliers actively monitor buyer inventory levels using shared data
Reduces the bullwhip effect by eliminating demand signal distortion
Decreases ordering workload and transaction costs for buyers
Places inventory decisions with the most informed supply chain partner
Consignment Inventory
Supplier physically places inventory at the buyer location and legally retains ownership until the moment of consumption
Buyer only pays for inventory once it is used
Shifts working capital investment from buyer to supplier
Guarantees immediate availability at the physical point of use