Why Manufacturers Rush Into Automation Before Solving the Real Problem

The Premature Commitment Problem

Manufacturers facing labor shortages and rising production demands increasingly turn to automation as the answer. Yet many automation projects deliver disappointing results—systems underperform, bottlenecks persist or relocate, and unexpected complications emerge after installation.

The root cause typically isn't the technology itself. According to Sam Karimi, General Manager of the Motion Systems Group at Motion & Control Enterprises, the problem begins much earlier: in how projects are defined before any equipment arrives on the factory floor.

Why it matters

With capital budgets tight and operational pressures mounting, manufacturers can't afford automation investments that miss the mark. Understanding why projects go sideways—and how to structure the planning phase differently—can mean the difference between a system that transforms production and one that creates expensive new problems.

The Standard Approach Creates Constraints

Most automation initiatives follow a predictable pattern, as first reported by Industrial Equipment News. A production challenge surfaces, and teams quickly frame the solution around specific technologies—typically robots or vision systems. Budgets and timelines get established simultaneously.

The critical flaw: these decisions happen before anyone conducts a comprehensive evaluation of the broader production system or explores the full solution landscape.

By the time automation specialists join the project, key parameters are already locked in. Facility layouts are fixed, stakeholder expectations are set, and there's minimal room to challenge foundational assumptions. What should be a problem-solving exercise becomes a procurement process focused on implementing a predetermined solution rather than validating whether it addresses the actual need.

The Cascading Consequences

This premature commitment creates several predictable failure modes. Teams narrow their options too early, overlooking simpler improvements to material flow or layout that could deliver results with less complexity and cost. Early decisions become difficult to reverse even when new information suggests a better direction.

Perhaps most critically, automation gets treated as a point solution rather than a system-level change. Optimizing one workstation can create inefficiencies elsewhere because production systems are interconnected. The consequences typically surface only after installation, when modifications are exponentially more expensive.

The results include over-specified systems relative to actual requirements, underutilized equipment that doesn't align with the process, relocated rather than eliminated bottlenecks, and increased maintenance burdens.

A Process-First Alternative

Karimi advocates treating automation as a series of decisions rather than a single commitment. Start by analyzing the process, not selecting technology. Convene engineering, maintenance, and operations teams at the project's outset.

Evaluate a spectrum of options—from targeted improvements to comprehensive system redesigns—and assess how each affects overall production flow. This upfront investment in understanding creates flexibility to compare approaches, test assumptions, and align solutions with genuine operational objectives.

In one example Karimi shared, a manufacturer assumed facility expansion or robotics would be necessary to meet growing demand. Instead, the team stepped back to evaluate their complete production flow. By implementing a conveyor-based system to replace manual material movement and applying automation selectively where it added maximum value, they significantly increased output without expanding the facility.

In another case, a manufacturer facing equipment failure from an aging control system initially planned a complete machine replacement. After evaluating the root cause, they rebuilt the control panel, upgraded drives and motors, and modernized controls—restoring capacity and extending equipment life while avoiding a major capital expense.

Neither outcome required more advanced technology. Both resulted from understanding the problem before selecting a solution.

These insights were detailed by Sam Karimi in Industrial Equipment News, drawing on his experience overseeing automation solutions across multiple states at Motion & Control Enterprises.