In the 1980s, the Just in Time (JIT) model represented the cutting edge of industrial efficiency. Originating in Japan and theorized by Toyota, it promised a lean production chain, free of waste and with minimal inventory. For decades, businesses embraced JIT as a management dogma.
Today, forty years later, the question is inevitable: is Just in Time still relevant or does it need to be rethinked? Global crises over the last six years—including pandemics, wars in Ukraine and the Middle East, and trade and political tensions—have exposed the limitations of a model designed for a context of geopolitical and financial stability.
A Changed World: Volatility as the New Normal
From 2020 to 2026, the global industrial system has faced a sequence of unprecedented shocks:
COVID-19 (2020–2021): Total production shutdown, shortages of raw materials and semiconductors.
War in Ukraine (2022): Impact on energy and grain, and increased logistics costs.
Iran–West Conflict (2025): Tensions in the Middle East and oil price hikes.
Tariff increases and fragmentation of global trade.
The result has been an average increase in industrial costs of 18-25% (source: IMF, 2025) and a loss of over $12 trillion in global GDP in six years (source: World Bank). In this scenario, basing overall business efficiency on a "perfectly synchronized" supply chain has proven risky. The failure of JIT does not stem from errors in principle, but from a radical shift in the operational environment.
Structural Criticalities of the Just in Time Model
The main criticalities emerging in the JIT model can be grouped into six areas:
Supply chain fragility: The absence of stock makes every delay critical.
Supplier dependency: JIT requires flawless partners, often geographically close.
External shock risk: Global disruptions (such as the Suez Canal blockage) have demonstrated systemic vulnerability.
High transport costs: Frequent deliveries in small batches increase last-mile costs.
Inadequacy to volatile demand: Unstable markets make the model rigid.
Internal pressure: Perfect coordination and minimal margins for error increase operational stress.
In summary, JIT shifts operational risk from capital immobilization (stock) to the risk of production interruption. In times of stability, this choice is a winner; in an unstable context, it can become fatal.
Just in Time vs Just in Case: The Strategic Pendulum
Many firms are re-evaluating the Just in Case (JIC) paradigm , involving a strategic return to larger warehouses, safety stocks, and greater autonomy from critical suppliers.
| Factor | Just in Time | Just in Case |
|---|---|---|
| Objective | Efficienty | Resilience |
| Inventory | Minimal | High |
| Main risk | Production shutdown | Capital immobilization |
| Ideal context | Stability and predictability | Volatility and uncertainity |
| ESG / sustainability | Frequent transport, higher emissions | Delivery consolidation, less CO₂ |
While JIT efficiency remains attractive in sectors like fashion, luxury, and premium food due to limited production and local suppliers , "not every company is Armani, and not everyone sells mozzarella". Most companies compete in markets with unpredictable demand and vulnerable global logistics.
The Warehouse Factor: From Cost to Strategic Leverage
For years, the warehouse was seen as a financial immobilization: idle capital and reduced margins. However, with interest rates still moderate (2–3%), the opportunity cost of maintaining stock has become manageable again. New logics are transforming the warehouse into a strategic lever:
Outsourcing: Management outsourcing transforms the warehouse from a fixed cost to a variable one, increasing flexibility.
Labor shortages: Difficulty finding internal personnel pushes toward automated solutions or partnerships.
ESG Efficiency: Consolidating deliveries reduces multiple transports and CO₂ emissions.
Land use: Large shared hubs allow for more efficient use of logistics space.
According to Deloitte (2025), companies that outsourced 60% of their logistics reduced total supply chain costs by 15-20% and improved operational resilience by 25%.
Resilience as the New Competitive KPI
Resilience is becoming the new Key Performance Indicator (KPI) in global supply chains. Performance is no longer measured solely by efficiency, but by the capacity to absorb shocks without stopping production. Three main levers guide this transition:
Supply diversification: Reducing dependence on single geographical areas (e.g., partial reshoring from Asia to Eastern Europe).
Digital twins and predictive analytics: Digital models to simulate impacts on demand, inventory, and lead times.
Dynamic warehouses: Using smart warehousing and robotics to scale capacity based on the economic cycle.
McKinsey highlights that resilient companies can reduce extra expenses related to disruptions by up to 40% through proactive stress-testing. Resilience is an operational insurance policy against flow interruption.
ESG and Sustainable Supply Chain: An Unexpected Ally
The push toward ESG (Environmental, Social, Governance) criteria accelerates the move away from "extreme efficiency" JIT. A study by Politecnico di Milano (2024) shows that a "green just-in-case" logic can reduce logistics emissions by up to 30% compared to fragmented JIT.
Toward a Hybrid Model: "Just in Time 2.0"
The challenge is not choosing between JIT or JIC, but reconciling their principles into a "hybrid" model based on dynamic efficiency. Leading companies are experimenting with:
Digitally optimized stock: Using predictive AI for dynamic minimum stock levels.
Regional micro-warehouses: Decentralized hubs combining proximity and resilience.
Vertical logistics partnerships: Suppliers integrated via shared data platforms.
Carbon-aware supply chains: Delivery planning based on CO₂ footprint.
This approach maintains JIT benefits—precision and waste elimination—while mitigating systemic risk.
Debunking the Dogma to Find Balance
Just in Time is not dead, but it can no longer be a dogma. In 2026, an efficient production system must also be adaptive. The evolved paradigm is: "Just in Time when you can, Just in Case when you must". Companies that balance these two logics will lead the next wave of European industrial competitiveness.
