When Low Water Levels Become a Planning Challenge
How the chemical industry can prepare its raw material supply for recurring periods of drought and low water levels
If an inland waterway vessel can carry less cargo, the cause is visible on the Rhine. The real challenge, however, arises at the plant: Which raw materials will still arrive on time? Which production processes take priority? And how can limited transportation and storage capacities be utilized in such a way that the supply chain remains stable?
For the chemical industry, this is not a hypothetical question. Droughts and periods of low water levels can impair the operational capacity of a key transportation corridor. At the same time, climate projections for the Rhine basin indicate that droughts during the summer months may occur more frequently, last longer, and be more severe in the future. This transforms an exceptional situation into a planning challenge for which companies must prepare on an ongoing basis.
„Low water levels affect far more than just the waterway“
Why Low Water Levels Are Much More Than Just a Transportation Disruption
A limited shipment causes subsequent bottlenecks
When water levels are low, the possible cargo capacity decreases depending on the type of vessel and the section of the river. To transport the same amount of raw materials, additional trips, different vessels, or alternative modes of transportation are then required. The bottleneck thus quickly shifts from the waterway to available rail and road capacities. Accordingly, transshipment windows and unloading points must be adjusted.
In the chemical industry, this effect is even more pronounced. Many raw materials require suitable tanks, carefully coordinated handling procedures, and clearly defined safety processes. As a result, available capacity cannot automatically be used for every shipment. Those who focus solely on quantity overlook the restrictions that determine whether an alternative will actually work.
„Higher inventory levels do not automatically reduce risk“
Maintaining a safety stock is not a sure thing
The obvious reaction is often to build up more inventory. While this can make sense, it is not a one-size-fits-all solution. Additional inventory requires storage space, ties up capital, and must meet shelf-life requirements, safety standards, and production needs. Furthermore, inventory can only bridge the gap caused by a delayed delivery—it does not resolve the underlying cause of limited transport capacity.
The critical question, therefore, is not: How large should the safety stock be? Rather: For which materials, at which location, and over what time period does additional inventory actually reduce the supply risk more than it increases costs and complexity?
Individual decisions can block one another
In a tense situation, each department makes understandable decisions: Purchasing secures quantities, Logistics seeks capacity, and Production protects critical lines. Without a shared perspective, however, these decisions can still conflict. A mode of transport is used for a less critical raw material, while a production line waits for a shipment with a shorter lead time. Or an early delivery blocks a tank that would be needed shortly thereafter for a more urgent material
„Individual measures come together to form a coordinated plan“
Design the planning process so that conflicting goals become apparent
From a substitute transport to a comprehensive decision
Mathematical optimization does not treat transportation, inventory, and production as separate lists. It combines them into a single decision-making problem: What quantities should be delivered to which locations, via which mode of transportation, and when, so that supply remains as robust as possible under real-world constraints?
For example, this process can simultaneously take into account available shipping, rail, and road capacities, transit times, delivery dates, tank occupancy, minimum inventory levels, and production priorities. The result is not an abstract calculation, but a well-reasoned plan: which delivery takes priority, which capacity is reserved for what purpose, and where a cost or risk buffer is intentionally built in.
Constraints make the solution practical
The quality of a plan is not determined by whether it looks cost-effective in an idealized world. It is determined by whether it can be implemented in everyday practice. That is why operational rules must be incorporated into the model: hazardous materials requirements, permitted vehicle and tank types, time windows, handling capacities, supply contracts, and the sequence of production steps.
This also makes it clear why a seemingly cost-effective solution is not chosen. Perhaps rerouting saves freight costs but jeopardizes the supply of a particularly critical raw material. Perhaps a higher safety stock reduces risk but overloads the warehouse infrastructure. Optimization makes these conflicting objectives comparable and understandable.
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Practical example:
A scenario illustrates what matters
Suppose a plant has only a few days of production left using a central liquid feedstock. At the same time, a dry spell is reducing available ship capacity. Now, several materials are competing for available rail cars, tank containers, and unloading windows.
Manual planning can speed up individual shipments. However, it does not necessarily identify which combination of quantities, deadlines, and capacities contributes most to supply. Optimization, on the other hand, evaluates the options collectively: It can first allocate scarce capacity to the material for which a stockout would have the most serious consequences, while simultaneously checking whether other materials can be temporarily covered by existing inventory or alternative routes.
„Robust planning reflects real-world constraints“
How OPTANO Turns Complex Interdependencies into Better Decisions
Real-World Planning Instead of Standard Logic
OPTANO helps companies translate their specific decision-making rules into a robust planning model. Instead of making a general recommendation for rail, road, or ship, the question can be answered for a company’s own supply chain: Which options are available given the actual constraints, and which combination best meets the objectives?
This is particularly important when operating conditions are constantly changing. New forecasts, confirmed or lost capacity, and changes in inventory can be evaluated as scenarios. This provides planning teams with a basis for comparing alternatives in a structured way, rather than having to start from scratch every time a disruption occurs.
Decisions remain justifiable
Effective planning support must remain clear and transparent. OPTANO highlights the constraints that shape a decision and the underlying trade-offs. This facilitates coordination between the supply chain, procurement, logistics, and production—especially when not all requirements can be met at the same time.
This method does not replace professional responsibility. It creates a shared, transparent framework for the decisions that experts must make anyway. This transforms a discussion about individual measures into a manageable prioritization process.
Resilience begins before the next dry spell
Phases like these highlight just how closely transportation, inventory, and production are linked in the chemical industry. Those who wait to react until capacity is already tight are left with only a few—and often expensive—options.
Forward-looking planning, therefore, does not mean predicting every uncertainty. It means modeling the most important courses of action, constraints, and conflicting objectives in such a way that companies can quickly reach a sound decision when conditions change.
Prepare your raw material supply for the next downturn
Would you like to specifically prepare your raw material supply for recurring periods of drought and low water levels? OPTANO helps you integrate transport capacity, safety stock, and production priorities into a transparent planning model. Talk to us about which constraints and scenarios are critical for your supply chain.
Key Takeaways
- Recurring droughts and low water levels present an ongoing planning challenge for the supply of chemical raw materials.
- The bottleneck affects not only the waterway but also alternative capacity, transshipment, inventory, and production.
- Safety stock provides targeted assistance—it is not a substitute for integrated planning.
- Mathematical optimization brings to light trade-offs between cost, risk, and supply.
- OPTANO translates real-world constraints into understandable scenarios, thereby supporting sound decision-making.