The Manufacturing Decisions That Will Outlast the US-Canada Trade Dispute

By Evan Burkosky

I’m a Canadian CEO of a US company, and I care about what happens to the businesses on both sides of this dispute. I spent 24 years in Japan working with large manufacturing companies and their supply chains. Working with those companies, you see how much goes into being able to rely on a supplier. Engineers qualify the components, production teams learn to work with them, and the company commits to orders knowing what it can deliver.

I’ve seen the disruptions tariffs cause up close. A tariff changes the cost of using that supplier, but developing an alternative takes engineering time, production trials and money. You have to decide whether to do that work, absorb the increase or renegotiate with your customer, while the factory continues to fill orders. The choices you make can tie up capital and affect customer relationships for years. They also need to be revisited when a tariff changes again, a supplier slips or the factory cannot carry out the plan. Kimaru helps your team understand what has changed, compare the actions now available and rework the decisions together.

Industrial machinery is directly exposed to this dispute. Canada’s current counter-tariff list includes pump parts, while US measures cover selected Canadian industrial machinery. The treatment of a particular shipment depends on the product, its origin and the applicable measure. Canadian counter-tariffs, US tariff guidance.

Consider an Ontario company that builds hydraulic metal-forming presses for manufacturers in Canada and the US. It fabricates the steel frames, assembles the hydraulic systems and controls, and tests the finished machines before shipping them. A US supplier makes pump components used in those systems. An Ohio customer uses the finished presses to make steel brackets and housings for equipment manufacturers.

Follow that press builder through the decisions it could face over the next two or three years.

Start with the orders you have already promised

Suppose the cost of an affected US-made pump component rises after you have agreed on a price for the Ohio customer’s new press. The customer has booked an installation window and needs the machine ready to make parts for its own orders. If the finished press is also covered by a US tariff, the customer faces a higher import cost. You both have to work out what this means for the machines already ordered and the next year’s business.

If you’re the operations manager, you have to keep the factory delivering while creating alternatives. Your production planner is working out which press builds to release, how to sequence fabrication and assembly, and when each machine can enter final testing. The planner knows which components are genuinely available, which jobs need your most experienced people, and which apparently open hours cannot be used.

Those are the first people we would work with. Kimaru’s engineers build a production Decision Model with the planner and the people who know the factory. It represents how material availability, fabrication, assembly and testing affect delivery, using ERP records, current production status and operating knowledge. Kimaru simulates feasible sequences and their consequences. The planner reviews and adjusts them in the application; the operations manager assesses the delivery, capacity and cost trade-offs.

Say Purchasing proposes rushing the pump components for the Ohio order. The planner can test whether that actually advances the finished press. Perhaps assembly would finish sooner, but another customer’s machine already occupies the test bay. Paying for faster freight would leave the Ohio press waiting in the factory.

The team can compare moving the test sequence, completing another build first, or negotiating a different installation window. Sales brings the customer’s actual flexibility into that decision. The planner and operations manager can then authorize a workable schedule within their responsibilities, with a customer change agreed through Sales.

Kimaru’s Decision Optimization Platform carries the approved work into the relevant systems and workflows and keeps the decision connected to execution. Supplier updates, factory progress, quality releases and verified trade-rule changes can alter the conditions behind the plan.

Kimaru’s Causal Flow Quantification identifies which changes could affect the active decisions and how their consequences may spread. A revised supplier date might put one press’s assembly and testing window at risk. The planner can then use the updated Decision Model to compare new sequences, while Purchasing and Sales review the consequences for their own commitments.

The responsible people authorize the revised actions. Kimaru follows the result and preserves why the plan changed. The team can establish whether a difference between expected and actual performance came from changed conditions, a missing constraint or an estimate that needs correction, then validate what should inform the next decision.

You still have to decide what to spend. But the decision now follows the whole machine through to delivery, and the people committing money or dates can see what their action will achieve.

That lets you protect current orders while beginning the supplier work that could give you better choices next year.

A supplier decision changes what the factory can build

The purchasing manager starts looking for an alternative to the affected pump component. Engineering and Quality have to establish where a replacement can be used safely and reliably. The planner has to find room for a trial without putting a customer’s delivery at risk.

The sourcing Decision Model connects that work to the production model already in use. Purchasing uses its application to compare suppliers, lead times, landed costs and contract terms. Engineering and Quality use their views to review the test evidence and define the conditions of approval. Production contributes the actual time and work needed to fit the alternative into a finished press.

Suppose the first candidate meets the required performance specification but takes longer to assemble and test. The quoted saving may disappear once those hours are included. A second candidate costs more to buy but works more easily in the existing build process.

The purchasing manager now has a commercial comparison grounded in what the factory found. Engineering can approve the second candidate for the press designs that were tested. That approval gives the production planner another usable option when scheduling those machines.

The comparison remains open to change while the qualification work proceeds. If a supplier revises its lead time or a verified tariff change alters landed cost, Kimaru identifies the effect on the sourcing decision. Purchasing can reassess the preferred mix using the new terms and the trial evidence already collected.

This is where the connection between the models starts to matter. The sourcing work has changed which production plans are possible. When the planner uses the new component, the assembly and testing results return to the sourcing comparison. Purchasing can use that experience in the next order or contract negotiation.

The knowledge also travels with its limits. A component qualified for one press design is available for that design; using it in another requires the appropriate engineering review. Kimaru preserves the evidence and reasoning so that another planner or buyer can understand what was learned and where it applies.

Over three to nine months, the company could develop a second source for selected components while keeping the original US supplier for others. The purchasing manager can negotiate that mix against the builds the company expects to make. The US supplier has a clearer basis for reserving its own production capacity, and the press builder has alternatives it has actually tested.

Getting to that point takes people’s time, trial capacity and cash. The benefit continues when the same qualification work supports later production and customer decisions.

The next customer promise uses what you have learned

Now the Ohio customer asks for two more presses over the following year. It wants an earlier delivery on the first machine so it can start a new equipment contract.

The salesperson has a customer-commitment Decision Model connected to sourcing and production. Before agreeing to a date, they can compare delivery windows against the qualified components, supplier commitments, assembly capacity and testing time those particular presses require.

The planner contributes the production sequence. Purchasing confirms what can be secured. Engineering identifies any customer-specific change that needs approval. The operations manager can see whether the proposed order fits alongside the Canadian and US work already promised.

Perhaps the earlier date is feasible with the newly qualified component and a different build sequence. Sales can price and negotiate that option with the customer. Once the order is accepted, its component requirements return to Purchasing and its delivery obligation enters the production plan.

That new commitment makes the connected models more useful in both directions. Sales can make a better-informed promise because sourcing and production have improved. Purchasing and the planner can then make better decisions because they know the terms of the promise Sales actually made.

The Ohio customer gets an installation date it can plan around. It can arrange tooling, operators and material for the brackets and housings it needs to produce. After the order is accepted, Kimaru continues following the supply and factory conditions behind that date. When they change, Sales and the planner can reassess the affected commitment and work with the customer on a revised arrangement.

The same people can then tackle the next constraint. With more components available, final testing may become the limiting step. The operations manager and Finance can use the accumulated production results and customer commitments to compare training another technician, changing test scheduling or investing in additional test capacity.

A larger order book alone would not tell them which investment to make. They need to know what work is coming, when it must be completed and what has actually been limiting output. The connected decisions give them that basis.

Where the compounding network effect comes from

The company now has connected Decision Models for production, sourcing and customer commitments. They give the responsible people a way to reassess those decisions as conditions change.

A supplier delay changes material availability. That can change the build sequence, which changes the testing window and the date Sales can offer. Kimaru follows those relationships so the people involved can compare a coordinated response against the current constraints.

The connection also works in the other direction. If the Ohio customer can move its installation, the planner has another production option and Purchasing may have time to use a different source. A new customer requirement may remove an option that Engineering previously approved. Each model supplies context that can change the alternatives in another.

That is the compounding network effect Kimaru is designed to create inside the company. Adding a customer-commitment model makes the production and sourcing models more useful because they can account for the customer’s actual requirements and flexibility. In return, Sales can reassess a promise against current supply and factory conditions.

As the company uses that network, outcomes add validated experience. A supplier trial establishes where a component works. A completed build establishes what assembly and testing required. A negotiated delivery change establishes which arrangement worked for the customer. Those lessons inform later decisions when their conditions still apply.

Kimaru retains the evidence, reasoning, outcomes and limits in Decision Memory. A design change, supplier change or different operating condition can require a lesson to be reviewed, revised or retired. I wrote about the value of keeping that work in What if You Could Save and Repeat Your Best Decisions.

A later capacity-investment Decision Model can use the production history and current customer commitments already established. If management authorizes additional qualified test capacity, that changes the options available to the planner and Sales. The new model benefits from the existing network and changes what the other models can do.

Kimaru’s engineers can also reuse the system connections, order and component identities, permissions, application capabilities and outcome tracking established earlier. They still work with the responsible people to model and validate the new decision. The company can extend its ability to respond without repeating all the integration work.

Reusable connectors, tested agent capabilities and validated implementation patterns can also help later Kimaru deployments. Applying them to another company requires understanding its decisions and validating the fit. Its private operating records and local Decision Memory remain under its control.

Eighteen months later, the plan needs to change again

Imagine the original US supplier is late while another trade-policy change raises the cost of an affected component. The Ohio customer still needs its next press, and a Canadian customer’s machine is approaching the same testing window.

The current plan depends on a component arrival that will no longer happen. Kimaru connects the revised supplier evidence and verified trade treatment to the affected sourcing, production and customer decisions. The team can see which orders need to be reconsidered and which commitments depend on shared capacity.

Purchasing compares using the qualified second source, paying for a smaller quantity from the original supplier or changing delivery timing. Kimaru simulates the production consequences using current assembly and testing conditions. Sales reviews the customer dates and the flexibility available under the agreements.

The preferred response might be to buy from the second source and change the build sequence. Then Maintenance reports that the test bay will be unavailable during the proposed window.

That revised plan no longer works either. The new factory information changes the active decision. Kimaru compares another set of options: a different sequence, an additional testing shift with qualified staff once the bay returns, or a customer installation change. The planner checks the practical assumptions. Sales establishes what the customer can accept. The operations manager reviews the combined cost and delivery consequences before authorizing the response.

Kimaru carries the revised actions into the relevant workflows and follows what happens. It preserves the earlier plan, the evidence that invalidated it, the alternatives considered and the reason for the new commitment. Further changes can require another review while the work is still underway.

The work done over the preceding eighteen months gives the team more to draw on each time it has to respond. The alternate component has qualification evidence. The planner has actual assembly and test experience. Sales knows which arrangements have worked with the Ohio customer. The team checks that those lessons apply to the current situation and uses them to build a new course of action.

Over two or three years, the company can become better at reworking these connected decisions. More of its operating knowledge is available to the people who need it, and more of the consequences can be examined before someone commits. The supplier portfolio, factory plan and customer arrangements continue to change as the business responds.

Finance has to check that the improvements show up in the operation. Did emergency buying fall? Did more machines reach customers when promised? Did inventory and margin improve after qualification and investment costs were included? One shipment’s saving and a recurring improvement need to be measured separately.

Those results determine whether another connected Decision Model is worth building and where it should begin. The operations manager, planner, buyer and salesperson keep their responsibilities. Kimaru helps the knowledge they contribute and the results they achieve become useful across more of the company’s decisions.

That is how the company builds Decision Capacity over time. As conditions change, its people have connected models, current evidence and validated experience to help them reconsider what to do, act together and learn from the result. Kimaru’s value continues through that repeated work of adapting the business.