Automotive

Navigating supply chain volatility in the global tire industry

What it takes to stay competitive in today's tire market

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Kinaxis

17 Jun 2026

Navigating supply chain volatility in the global tire industry

What if your supply chain was the Achilles’ heel of your competitiveness in the tire industry? With the rise of smart tires, OEMs demanding ever-shorter lead times, and the urgent need to decarbonize, executives no longer have a choice: the entire ecosystem must be reimagined from end to end. Discover how tire manufacturers can turn these challenges into opportunities through real-world insights and proven solutions.

In addition to traditional supply chain challenges (omni-channel, automotive OEM constraints, complex distribution network and short lead time, reverse logistics), some issues are becoming more frequent and increasingly important as conditions evolve:  

1. Raw material volatility

  • Natural rubber shortages: Over 70% of natural rubber comes from Southeast Asia, making the supply chain vulnerable to geopolitical tensions, climate change, and price fluctuations. 
  • Synthetic rubber & petrochemical dependence: Because synthetic rubber relies on oil derivatives, its cost is tied to crude oil prices. 
  • Other key materials: Steel cord, carbon black, and silica are subject to global supply disruptions (e.g., Ukraine war, China’s export controls). 

2. Logistics and transportation bottlenecks

  • Shipping delays: Port congestion, container shortages, and rising freight costs (e.g., Red Sea crisis, Suez Canal disruptions) delay raw material and finished tire deliveries. 
  • Just-in-Time pressures: Tire manufacturers rely on tight inventory management, but global disruptions (e.g., COVID-19, strikes) expose fragility. 

3. Geopolitical and trade risks

  • Tariffs and trade wars: US-China tariffs, EU carbon border taxes, and regional trade barriers increase costs and complicate sourcing. 
  • Sanctions and conflicts: The Russia-Ukraine war has affected access to Russian carbon black and Ukrainian steel cord. 

4. Sustainability and regulatory pressures

  • Circular economy demands: EU End-of-Life Tire (ELT) regulations and global ESG (Environmental, Social, Governance) standards push for recycled materials, but scaling up is costly. 
  • Carbon footprint: Tire production is energy-intensive; manufacturers are under pressure to reduce emissions across the supply chain. 

5. Labor and automation gaps

  • Skilled labor shortages: Aging workforce in manufacturing hubs (e.g., Germany, US) and lack of training in emerging markets. 
  • Automation costs: High upfront investment in robotics and AI for smart factories,  are increasingly necessary to compete with low-cost producers (e.g., China and India). 

6. Demand fluctuations and market shifts

  • EV tire transition: Electric vehicles (EVs) require different tire specifications (e.g., lower rolling resistance, higher load capacity), forcing R&D and supply chain adjustments. 
  • Consumer trends: The shift to larger rim sizes and high-performance tires increase complexity in inventory management. 

Consequently, the pressures on margins is increasing, along with the complexity of responding quickly to meet customers expectations. 

From static planning to adaptive supply chains

Historically, many supply chain decisions have followed a sequential planning process: demand planning feeds supply planning, which then informs production and distribution decisions. While this approach worked in relatively stable environments, it often proves too slow in today’s tire market.

When disruptions occur—whether a sudden demand spike, supplier delay, or logistics bottleneck—organizations must evaluate the impact across the entire supply network. In sequential systems, this process can take days or even weeks.

Adaptive supply chains take a different approach

Instead of relying on static plans updated periodically, adaptive systems continuously evaluate changes across the network and synchronize decisions in real time. This allows organizations to detect issues earlier and respond before disruptions cascade across operations. For tire companies operating in an omnichannel market with different demand dynamics and global supply chains subject to intercontinental transport disruptions both upstream and downstream, this capability can mean the difference between capitalizing on demand and missing the moment entirely.

The role of autonomous concurrent orchestration

One of the emerging approaches helping organizations move toward adaptive supply chains is autonomous concurrent orchestration. Rather than relying on disconnected tools and manual coordination, this model connects decisions, data, and actions across the supply chain network. It combines three complementary principles: concurrency, orchestration, and autonomy.

Concurrent decision making

Traditional planning systems often operate sequentially, meaning that demand, supply, and production plans are updated step by step. 

Concurrent decision making removes these delays by evaluating demand, supply, inventory, and capacity simultaneously within a unified model. When conditions change, such as a surge in demand for a specific product, the impact becomes immediately visible across sourcing, production, and distribution. For tire companies managing thousands of SKUs, complex substitution possibilities and demand-prioritization rules, this significantly accelerates response times.

Orchestration across planning and execution

Supply chains are not just planning systems; they are operational networks involving suppliers, manufacturers, logistics providers, and dealers. Orchestration connects planning decisions with execution across this network. It coordinates activities such as supplier collaboration, production allocation, inventory positioning, and distribution. When disruptions occur, orchestration enables organizations to rebalance priorities across the network rather than addressing problems in isolated silos.

Autonomous agents supporting planners

As supply chains grow more complex, the volume of signals and decisions can overwhelm human planners. Autonomous agents and intelligent automation help address this challenge by continuously monitoring supply chain signals and identifying potential responses. These agents can analyze demand changes, inventory imbalances, or capacity constraints and recommend actions such as redistributing inventory or adjusting supply plans. Rather than replacing human expertise, these capabilities augment it, allowing planners to focus on strategic decisions while automation handles routine adjustments.

Adaptability as a competitive advantage

The ability to adapt quickly is becoming a defining capability in the tire industry. Companies that sense demand shifts early and adjust supply accordingly gain a significant advantage. They can respond to tenders and demand shifts, such as surges in electric vehicle adoption, avoid costly overproduction, and maintain higher service levels across channels. At the same time, adaptive supply chains can support sustainability goals by helping organizations reduce excess inventory and waste, an increasingly important priority for regulators and consumers alike. In an industry defined by constant change, adaptability is no longer optional. It is essential.

Kinaxis can help you gain a competitive edge with an adaptive supply chain. Learn more about the unique capabilities of our Maestro platform.