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A gas distributor in Western Canada supplies compressed natural gas across North Dakota, where the supply points and the customers both move with drilling activity. Product sits in the distributor's own trailers at customer sites, so every trailer committed somewhere is a trailer unavailable everywhere else. Weather moves travel times. Equipment goes down. Roads close. Each one pulls against a service commitment that has no room in it, and the size of the fleet is the only lever that absorbs all three. Too few trailers and the commitment breaks. Too many and the capital sits in a yard.

Upstream production was about to rise. More sulfur every day, through a chain already running near its ceiling. Ask the operating teams where the constraint sits and you get a confident answer, because everyone can see their own station. What nobody could see was the chain behaving as one system under fourteen different upset scenarios, which is where the real ceiling turned out to be. The bottleneck sat two stations upstream of the terminal everyone had named. A terminal upgrade on its own would not have reached the target. The committee got a sequenced capex plan it could approve item by item.

The network you have was built one decision at a time, usually under a deadline, often by people who have since moved on. Customers moved. Volumes moved. The sites stayed. Nobody sets out to run a footprint shaped by history, and yet the argument for changing it always runs into the same wall: everyone can name a site that feels wrong, and nobody can show what the alternative is worth. Greenfield analysis and network optimization answer the question in its own terms: the optimal number of distribution centers and where they sit, given real demand, real customer locations, real products, and real distances.

The hardest operations decisions don't leave room for a partner who's difficult to work with or slow to deliver. Operations leaders choose SimWell for the senior bench behind every engagement and models that hold up when the plan is on the line. The people who've worked with us describe the same two things: real expertise, and a team that's easy to work with.

The teams that model their operations before they commit keep finding the same thing: the expensive move was avoidable. SimWell has helped operations leaders add $30M in top-line revenue, improve transportation efficiency by 83%, and save $200M with digital twins and decision modeling. Same operation, better calls, tested before they were made.

Throughput was set to nearly double. Reaching it meant buying equipment, and mining machinery gets bought on the belief that it will move the number. The chain runs from the pit to the crusher to the grade circuit to the train, and capacity varies at every step. Add rate at one machine and the gain shows up somewhere else, or nowhere. Planned and unplanned maintenance moves the answer again, and the honest version of that behavior lives in years of history rather than in an availability figure. The model let the client change the rate of any piece of equipment and see the effect on the whole mine before the purchase order went out.