Engagement7 min read

How I Read a Plant in Two Hours

Before the data room gets my attention, the floor gets an afternoon. The routine I run on every walk-through, and the tells that are hard to stage.

How I Read a Plant in Two Hours

I ask for the plant tour before the second management meeting. Sellers usually hear a courtesy request, a box to check between the CIM and the QoE. I treat it as the highest yield two hours in diligence. A floor answers questions a data room dances around, and it answers them whether the seller wants it to or not.

The routine is a gemba walk pointed at a purchase price. The best operations advice I ever received came from a retired Toyota team member, through an interpreter: you cannot manage from the office. Go to where the value is created. Jim Womack compresses the same discipline into three rules: go see, ask why, show respect. Everything below is those three rules applied to a seller's floor.

My full diligence list runs to pages of questions on OEE, maintenance, capex, and procurement. All of it comes later. The walk is the filter that tells me whether the rest is worth the money.

The Read Starts in the Parking Lot

The assessment starts before anyone puts on safety glasses. I look at the parking lot, the dock, and the front entrance. Safety metrics posted where employees walk in tell me leadership thinks about its workforce. A trophy case of dusty plaques from a decade ago tells me something different.

Inside, I look at aisles and lines. Clean aisles, painted lines, stop signs at the forklift crossings: these are cheap choices. A plant that will not spend paint on floor markings is telling you how it thinks about process discipline everywhere else. Production stores are the same read. Parts labeled with minimums and maximums mean somebody manages inventory. Piles mean nobody does.

One warning. Every seller stages the tour. The floor gets swept, the best operators get scheduled, the route avoids the corner where the old line sits. That is fine. Staging tells you what they think good looks like, and everything below is hard to stage on short notice.

Watch the People

Go see starts with where the supervisors are. Supervisors on the floor usually means expectations get set there. Supervisors buried in paperwork means the plant is run from a desk, and the numbers I will see later in diligence were assembled at that desk too.

Then I watch what happens when the tour group rounds a corner. In a healthy plant, operators keep working and meet your eye. In a fear culture, they scatter. I once watched an associate bolt in the opposite direction at the first sight of a tour group. Those five seconds outweighed the entire data room.

Then the boards. Are metrics posted, and are they alive? An hour-by-hour count with handwriting on it means the management system breathes. A laminated dashboard from months ago means the system exists for visitors. Training matrices tell me the plant builds capability. An andon light or buzzer for calling help without leaving the station tells me the workforce is supported rather than merely supervised.

Ask why is the second rule, and I aim it at standard work. I ask an operator where the setup procedure lives. If he points to a dusty binder near the supervisor's office, the SOPs in the data room are decoration. And I listen for who answers. When I ask a line supervisor a question and the owner answers it, three times in a row, I have learned the real decision map, the depth of the bench, and what happens the day the owner's phone goes quiet.

Show respect is the third rule, and it doubles as a test. I ask operators to walk me through their work and listen like they are the experts, because they are. Some light up; nobody has asked them in years. Others check the supervisor's face before every sentence. Both reactions are data, and only one of them prices well.

The seller controls every page in the data room. He does not control what the floor does at two in the afternoon.

Paul W. Swaney III

Follow the Material

Material tells the truth about scheduling. Empty trailers parked around the yard signal an unstable schedule. A row of parked forklifts in the middle of a shift signals low utilization somewhere upstream. I compare raw material on hand to daily arrivals, and finished goods to daily shipments. Big buffers are downtime, stored.

Then I look between the processes. How much inventory sits before and after each step? Is it marked and controlled, or has it simply accumulated? WIP piles between two machines are the layout confessing where the bottleneck lives. Whether the processes are coupled or decoupled tells me how much cash this plant needs just to keep itself calm.

The trick is looking at what is sitting still. In a well run plant, material moves and people work on product. In a struggling one, material sits and people move. Lean hands know the seven wastes as Tim Wood. On most tours I mainly meet his inventory and his waiting.

Do the Math While You Walk

This is the part sellers never expect. I time one machine cycle, quietly, while the conversation happens around me. Then I multiply out what a shift should produce at that cycle time and compare it to stated output. The gap is a rough OEE read, and it costs nothing. The interesting part comes next: I ask management to account for the losses. Some teams can walk straight to a pareto of downtime causes. Some teams look at each other.

Scrap gets the same treatment. I pick up a scrap tag and read the date and the cause. A dated tag with a root cause on it means someone is fighting scrap. An undated pile means scrap is a cost of doing business that nobody owns. Oil on the floor under the machines gives me the maintenance department in one glance.

People waiting on machines, machines waiting on people: either one, seen repeatedly, is money leaking through the shift, and neither appears anywhere in the data room.

I keep notes the whole way, in a small book rather than a phone. Every observation earns a follow-up question in the next management meeting, which is where staged answers start to come apart.

The Walk Is the Thesis

By the end of two hours I have a view on culture, management systems, maintenance, scheduling stability, and how much improvement runway sits inside the plant. None of it required a document request. All of it shapes what I am willing to pay, because half of what I saw becomes the value creation plan and the other half becomes negotiating material.

This matters double in my seat. As a fundless sponsor I have no operations diligence team to send in behind me. My eyes are the ops workstream. The constraint is also the edge: the walk compresses what a consulting report needs six weeks to say into one afternoon, and I am the one who has to live with the answer.

The prize for reading culture right is real money. An engaged workforce fixes problems for almost nothing. I have seen a chronic downtime issue, years old, solved permanently with rubber washers and locking nuts, about a dollar in parts, once the team believed it had the authority to stop the line. A fear culture leaves that dollar on the table for a decade. The gap never appears in a QoE.

Ask for the tour early. Walk slowly. Count things. The floor is the one part of the company that does not know it is in diligence, and what it tells you is invisible to every buyer bidding off the data room alone. That is precisely why it is alpha.

The Checklist

Save this for your next tour. Two hours, six passes.

Outside: the parking lot, trailers in the yard, activity at the dock, and safety metrics posted at the entrance.

First steps: aisle cleanliness, painted lines, stop signs at forklift crossings, lighting, and min and max labels in production stores.

People: supervisors on the floor or behind glass, how operators react when the tour rounds a corner, boards that are alive with handwriting, training matrices, an andon, who answers your questions, and whether an operator will walk you through his work.

Material: forklifts parked mid shift, raw material against daily arrivals, finished goods against daily shipments, and WIP between every pair of processes.

Math: time one cycle and extend it to a shift, ask management for the losses, read the dates and causes on scrap tags, look for oil under the machines, and count people waiting on machines.

Wrap up: notes in a small book, and one follow-up question per observation for the next management meeting.

Paul Swaney is the founder of Swaney Group Capital, a fundless sponsor focused on acquiring and operating lower middle market businesses. LeverUp® publishes at least weekly. More if I have something extra to say.

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