Business

Supply Chain Models

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Updated:4/10/2026
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Model
Core Principle
Pioneered By
Biggest Strength
Biggest Weakness
Best For
Just-In-Time (JIT)
Inventory arrives exactly when neededToyota, 1970s (Taiichi Ohno)Minimizes holding costs and wasteZero buffer for disruption (exposed in 2020-2022)Stable, predictable demand manufacturing
Lean Supply Chain
Eliminate all non-value-adding stepsToyota Production SystemHigh efficiency and qualityBrittle under volatilityMature products with steady volume
Agile Supply Chain
Speed and flexibility to respond to changeZara, 1990sFast reaction to demand shiftsHigher cost per unit than leanFashion, electronics, high-variability goods
Leagile (Lean + Agile)
Lean upstream, agile downstreamAcademic frameworks, 1999Balances efficiency and responsivenessComplex decoupling point decisionsProducts with standardized components, customized final assembly
Push Supply Chain
Produce based on forecasts, push to marketTraditional manufacturingEconomies of scale in productionInventory pileups when forecasts wrongCommodities and staples
Pull Supply Chain
Produce based on actual customer ordersDell build-to-order, 1990sMinimal finished goods inventorySlower customer deliveryConfigurable, customized products
Push-Pull Hybrid
Push raw materials, pull final assemblyDell, HP, modern retailersBest of both worldsRequires precise decoupling strategyCustomizable products with common subassemblies
Demand-Driven (DDMRP)
Position strategic buffers at key decoupling pointsCarol Ptak and Chad Smith, 2011Protects against variability without overstockingRequires software and discipline to implementComplex multi-tier manufacturing
Continuous Replenishment
Vendor-managed inventory auto-refilledWalmart-P&G, 1988Reduced stockouts, shared dataDependency on supplier reliabilityRetail with long-term supplier relationships
Drop Shipping
Retailer never holds inventory, supplier ships directMail-order catalogs, expanded by Shopify eraZero inventory capital requiredThin margins, no quality controlE-commerce startups testing markets
Cross-Docking
Move goods directly from inbound to outbound trucksWalmart, 1980sNear-zero warehousing timeRequires perfect coordinationHigh-volume consumer goods distribution
Vertically Integrated
Own upstream and/or downstream stagesFord River Rouge, 1927; Tesla todayFull control over quality and timingHigh capital, loss of specializationStrategic products (batteries, chips, media content)
Outsourced / 3PL
Contract third parties for logistics1980s logistics providersVariable cost, expertise on tapLess control, margin leakageGrowing companies without logistics capability
Circular Supply Chain
Reuse, remanufacture, recycle inputsEllen MacArthur Foundation, 2010sSustainability and cost recoveryRequires reverse logistics infrastructureElectronics, apparel, packaging
Nearshoring / Friend-shoring
Relocate suppliers to nearby or allied countriesPost-COVID corporate strategy, 2022+Shorter lead times, geopolitical resilienceHigher unit costs than Asian manufacturingCompanies reducing China exposure
Blockchain-Verified Chain
Tamper-proof provenance at each hopIBM Food Trust, Maersk TradeLens, 2017Auditable, reduces fraudLimited industry adoption, complex integrationLuxury goods, pharmaceuticals, food safety

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This dataset contains 16 entries, each with multiple sortable, filterable columns. The full table is visible on this page and can be downloaded as a CSV, JSON, or Excel file.

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Yes. The download buttons at the top of the page give you the full 16-row dataset as CSV, JSON, or Excel. Use of the data is permitted under a Creative Commons Attribution license — credit dtbse.com when you republish.

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