(Other articles in The Adaptable Plant Series: Part 1, Part 2)
Walk into a modern processing facility today and the technology is hard to miss. High-speed lines, integrated controls, advanced sensors, and increasingly, data streaming from every corner of the operation. On paper, these systems are built for flexibility. They promise rapid changeovers, product variety, and responsiveness to shifting demand.
Yet when something unexpected happens—a material variation, a late formulation change, or a sudden shift in production priorities—performance often falters. Not because the equipment can’t handle it, but because the system as a whole is not prepared to respond.
This is where many organizations confront a hard truth: Agility is not something you install. It is something you build. And at its core, it is built through people.
To move forward, we need to reset how we define agility in manufacturing. The term has been used loosely for years, often confused with flexibility or speed. In reality, agility is the ability of a production system to rapidly and cost-effectively adapt to unexpected changes in market demand, supply chain disruptions, or customer requirements. It combines flexibility, speed, and responsiveness—enabling operations to switch production, introduce new products, or customize output without major disruption or excessive cost.
That capability shows up in several ways. Agile operations are designed to adapt quickly, using modular systems, enabling technologies, and decentralized decision-making. They are customer-centric, capable of delivering variation without losing process control. Most importantly, they are proactively resilient. Agility is not scrambling to recover when something goes wrong. It’s the deliberate design of systems that respond effectively when conditions inevitably change.
Dr. Bryan Griffen is the President of Griffen Executive Solutions LLC. He was previously Senior Director of Industry Services for PMMI: The Association for Packaging and Processing Technologies, and he held a number of roles for Nestlé during his many years there.Griffen Executive Solutions
It is also important to distinguish agility from lean. Lean manufacturing focuses on reducing waste and improving efficiency. Agility focuses on responsiveness and adaptability. The two are complementary, and the strongest operations leverage both, but they are not interchangeable. Without this clarity, organizations often optimize for efficiency while unintentionally limiting their ability to respond.
Why agility breaks down on the floor
Once we establish that definition, the next question becomes clear: If we have flexible equipment, integrated systems, and access to data, why does agility still break down on the plant floor?
In most cases, the answer is not technical. It’s human.
Many plants are designed around steady-state performance. Training is built on standard operating procedures. Operators are taught how to run the line when everything is within expected parameters. Maintenance teams are trained to respond when something fails. Supervisors are positioned as decision makers when conditions move outside the norm.
But real operations rarely stay within those boundaries. Ingredient variability, upstream disruptions, equipment drift, and shifting production priorities are part of daily life in food and beverage processing. When these conditions arise, the system depends on the people closest to the process to recognize what is happening, interpret the signals, and act.
This is where the gap appears.
Operators trained only for normal conditions hesitate when something looks different. Technicians fall into reactive patterns instead of diagnosing early indicators. Supervisors become bottlenecks for decisions that should be made at the line level. In highly automated environments, these gaps are amplified—small delays in recognition or response quickly turn into lost production, quality deviations, or unnecessary downtime.
At the center of this issue is what I often call confidence under variability. Agile operations require people who are not only capable of running the process, but confident in adjusting it when conditions change.
Building capability: training for real conditions
That confidence is not built through traditional training models.
In many organizations, training is still treated as a compliance exercise. Operators review procedures, sign off on SOPs, and are deemed “qualified.” While this approach may support consistency under stable conditions, it does little to prepare the workforce for the variability that defines real-world operations.
Training for agility looks different. It focuses on capability, not completion.
It includes scenario-based learning, where teams work through what happens when the process drifts, when materials behave differently, or when a changeover does not go as planned. It builds cross-functional understanding, helping operators see how their actions impact upstream and downstream processes. It uses visual SOPs and One Point Lessons that connect directly to equipment and real conditions, not just text on a page.
In practice, this might mean teaching operators how to recognize early signs of process drift—through temperature trends, product characteristics, or motor load changes—and, more importantly, how to respond before the issue escalates.
Singh/Adobe Stock
Training must also be paired with a broader commitment to upskilling. Too often, workforce development is treated as a cost to manage. In agile operations, it is a lever to pull. A more capable workforce reduces downtime, improves changeovers, and increases first-pass quality. It also supports retention—people who are growing in their roles are far more likely to stay engaged and contribute at a higher level.
Some plants have taken this further with structured skill progression models, enabling operators to build capability across multiple roles or systems. The result is not just a more flexible workforce but a more resilient one.
From execution to ownership
Equally important is how organizations engage their frontline teams.
In many operations, operators are still viewed primarily as task executors. Yet they are the first to see problems, and often the first to understand them. Shifting from execution to ownership is critical to building agility.
This shift can be driven through simple, practical mechanisms:
- Daily huddles focused on issues and opportunities, not just metrics
- Structured problem-solving that prioritizes root cause over blame
- Systems for capturing and standardizing improvements from the floor
It is not uncommon for a recurring minor stoppage to be resolved by a small adjustment identified by the team running the line. When that solution is captured and shared, it becomes part of the system’s capability. Over time, these incremental improvements compound into meaningful gains.
None of this happens without the right leadership environment.
Leaders play a central role in shaping how people engage with the operation. If the expectation is to follow instructions and escalate problems, that is what the workforce will do. If the expectation is to think, solve, and contribute—and that expectation is reinforced consistently—behavior begins to shift.
This requires leaders to move beyond directing work and toward developing capability. It means creating space for learning, even when it introduces short-term inefficiencies. It means reinforcing behaviors such as problem identification and collaborative solution development, not just end results. And it requires psychological safety, where employees feel comfortable raising issues and offering ideas without fear of blame.
The multiplier effect
When these elements are missing, the pattern is predictable: Organizations invest in advanced equipment, provide minimal training, rely on a handful of experienced individuals, and operate reactively. When those individuals are unavailable, performance suffers.
When these elements are in place, the picture changes. Training is structured and ongoing. Capability is distributed. Frontline employees take ownership. Leaders actively develop their people. The operation becomes more responsive, not because of a single initiative but because the entire system is aligned.
Flexible equipment enables change, but people recognize when change is needed. Data provides visibility, but people interpret and act on it. Systems create the potential for agility, but the workforce turns that potential into performance.
In that sense, people are not a constraint on agility; they are the multiplier.
As you reflect on your own operation, consider a few questions: Are you training for stability or for variability? Are you expecting compliance or encouraging thinking? Are you investing in capability as deliberately as you invest in technology?
Because at the end of the day, the most flexible asset in any plant is not the equipment on the floor. It is the people who run it.
