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And why getting it right during new product development changes everything.

We see many manufacturing teams that struggle not because they lack systems but because the system never had a chance to work as intended often missing out on important functionality.

These manufacturers are prototype shops becoming production operations, labs commercializing products, an acquisition that is different than the core portfolio or legacy plants trying to scale. Their common thread isn’t capacity or demand. It’s incomplete, inconsistent, underutilized, or undefined master data from the start.

Master data are often treated as a set of check boxes.  They are tedious prerequisites to hammer out as fast as possible because they sit between us and a sale.  In practice, master data represent a set of structural decisions.  And New Product Development (NPD) is where that structure is either built or undermined.

The Gap: Design Intent vs. Operational Reality

Make-to-stock, Make-to-Order, Engineer-to-Order manufacturing shops may have different product life cycles and might call it different things be it New Product Development (NPD), New Product Introduction (NPI), New Product Launch (NPL) or just another sales order.  The label matters less than the moment. This is the point where a product stops being an idea and starts becoming something the operation must execute repeatedly.

On paper, this phase is often owned by engineering. In practice, it is where manufacturing, supply chain, and planning inherit the consequences of early decisions. This is the handoff where the operational backbone is formed and design either becomes executable reality or permanent friction.

What teams want:

  • Faster launches
  • Predictable costs
  • Scalable operations

What they often get:

  • Items that can’t be scheduled
  • BOMs that are inexhaustive
  • Routings that don’t accurately reflect the workflows
  • Planners, both schedulers and buyers, working around the system

Everyone downstream is forced to compensate.

Master Data Is Not Just “Item Setup”

When folks hear “master data,” they think item masters and part numbers. Well, yes, and also master data typically includes:

  • Item masters (make/buy logic, lead times, units of measure)
  • Bills of Material (BOMs) that reflect real consumption
  • Routings aligned to how production will be achieved in manufacturing on the equipment owned, with the people employed and not just as imagined by the Design Engineer – no matter how well intended
  • Work centers with capacity and constraints
  • Labor pools tied to skills with capacity and shift patterns
  • Basic procurement parameters (order policies, suppliers)
  • Scheduling logic the system can execute and includes as many of the spoken rules as possible

Each one of these is a decision in many cases requiring coordinated cross functional input.  Leaving these loose, undefined or a placeholder doesn’t make them go away. It just forces people to decide manually. Incomplete master data surrenders control from process & systems to individuals.  As a result, variability scales faster than volume with profit-eating consequences.

Why NPD Is the Critical Moment

NPD is where ambiguity is removed and assumptions harden into structure that can be leveraged. My physics teacher used to say, “A number without a unit isn’t worth a hill of beans.”

At low volume, teams can compensate:

  • Engineers answer questions on the fly
  • Planners “know” how things should run
  • Buyers expedite
  • Schedules are more suggestion than plan

That works, until 5 units becomes 5,000 or a few customers becomes a few dozen or a handful of products and variant becomes a boatload.  The moment scale enters the picture, those informal controls collapse.

Once volume increases, the cost of missing or weak master data shows up as:

  • Schedule instability
  • Excess WIP
  • Expedites becoming standard work
  • Degradation of trust in MRP
  • Inability to leverage finite scheduling
  • Broken capacity models
  • Firefighting disguised as flexibility
  • Missed customer commitments

If master data isn’t completed during NPD, it gets completed under pressure later and usually with unfavorable consequences.

Master Data as an Enabler, Not a Constraint

Well-defined master data doesn’t slow sales. It enables scalable & repeatable operations.

When item, BOM, routing, and resource data are complete and intentional:

  • Planning becomes predictive instead of reactive
  • Procurement decisions are visible and repeatable
  • Capacity constraints surface early
  • Engineering changes propagate cleanly
  • Growth doesn’t require heroics

Structure and process win over heroes in the long run.  This is where data hygiene and process hygiene intersect. You’re not just loading fields; you are defining how the business should and will operate.  Now when complexity increases, you can focus on dealing with unavoidable uncertainties.

Master data are design decisions, not a set of administrative tasks. With proper data, the system can finally do what it was purchased to do.

The Missed Opportunity with Legacy Systems

Many manufacturers own underutilized systems that would be capable of greater functionality if fed a more complete data diet.

Legacy ERP or MES platforms often get blamed for performance issues when the root cause is:

  • Implementations that were not fully funded with resources
  • Inconsistent definitions
  • Partial setups
  • “Temporary” workarounds that became permanent

Without clean, complete master data, even the best tools can become reduced to required accounting minutiae instead of operational engines.

What This Means for Growing Manufacturers

Growth rarely requires a new system first. It requires better quality of data and definition of process.    Master data completion during NPD should be a well-orchestrated cadence, not a hastily completed chore in the name of sales with the inevitable, later cleanup activity spurred by some near disaster.   Sure, there is something to be said for speed to market. And those types of placeholders should have a process-governed follow-up, intentionality over perfection.

Define the data that drives decisions. Align it to how work is executed on the production floor. And lock it in before growth exposes the gaps.

NPD done right is where margin is made.
 
—Bob Swidarski, St. Onge Company