Managed IT

How to Reduce Downtime in Manufacturing

Learn how to keep your machines running and your revenue flowing. This video shows you how to reduce downtime and increase productivity where it counts.

Video

2 minute read

May 18, 2026

In manufacturing, every minute counts. You want to maximize profit and minimize time you’re not earning money, and when production halts, revenue stops—but costs don’t.

The average cost of downtime in 2026? $336,000-540,000 per hour.

Unplanned downtime isn’t just inconvenient—it’s one of the most expensive problems manufacturers face. So, how do you become one of those companies that has such a good handle on it that downtime becomes a rare event? 

What Is Downtime?

Downtime in manufacturing refers to any period when production slows or stops, preventing a facility from operating at its planned capacity. It can affect a single asset, an entire production line, or a full plant—and it often creates downstream disruptions that last far longer than the initial stoppage.

At its core, downtime represents a gap between how a manufacturing operation should be running and how it’s actually performing. During that gap, equipment sits idle, labor is underutilized, and production targets slip.

Downtime typically falls into two categories:

  • Planned downtime, such as scheduled maintenance, equipment upgrades, tooling changes, or compliance inspections
  • Unplanned downtime, which occurs unexpectedly due to equipment failure, human error, software issues, cyber incidents, or supply chain disruptions

Planned downtime is generally predictable and built into production schedules. While it still carries a cost, it can be managed and optimized.  

Unplanned downtime is far more disruptive. It often happens with little warning and forces manufacturers into reactive mode—scrambling to diagnose issues, source parts, reassign labor, and adjust delivery timelines.

Importantly, downtime doesn’t always mean a full shutdown.  

Reduced speeds, quality holds, repeated stoppages, or manual workarounds all count as downtime because they prevent operations from running efficiently. Over time, these smaller interruptions can be just as damaging as a major outage.

Understanding what downtime looks like in your specific environment—and how frequently it occurs—is foundational to improving reliability, productivity, and profitability.

Why Downtime Matters in Manufacturing

Downtime matters because it touches nearly every aspect of a manufacturing business—from day-to-day operations to long-term competitiveness. When production stops, the impact extends far beyond the factory floor.

From an operational perspective, downtime reduces throughput, lowers overall equipment effectiveness (OEE), and makes production planning more difficult. Teams spend time reacting to problems instead of improving processes, which limits continuous improvement efforts.

From a financial standpoint, downtime directly impacts revenue while fixed costs—labor, energy, facilities, and overhead—continue to accrue. Even short, frequent stoppages can quietly drain profitability over time.

Downtime also introduces risk. Unexpected failures can create safety hazards, especially when equipment stops abruptly or operators are forced to intervene manually. In regulated industries, downtime-related quality issues can lead to compliance violations or costly recalls.

Just as importantly, downtime affects customer relationships. Missed deadlines, inconsistent output, and unreliable delivery schedules erode trust. In competitive markets, that unreliability can push customers toward alternative suppliers.

For modern manufacturers, downtime is no longer just a maintenance or engineering concern. It’s a business risk tied to:

  • Operational resilience
  • Supply chain stability
  • Workforce efficiency
  • Brand reputation and customer loyalty

As manufacturing becomes more automated and digitally connected, the causes of downtime have expanded to include software failures and cybersecurity threats alongside traditional mechanical issues. That reality makes proactive monitoring, data-driven decision-making, and cross-functional collaboration essential.

Reducing downtime is ultimately about protecting the performance and sustainability of the entire manufacturing operation.

Manufacturing downtime is one of the most expensive operational challenges companies face. Industry estimates place the average cost of downtime between $5,600 and $9,000 per minute, with some highly automated or continuous-process facilities seeing even higher losses.

When you break that down, the financial impact becomes clear:

  • $336,000–$540,000 per hour
  • Millions of dollars annually for manufacturers with recurring disruptions
  • Significant margin erosion, even in otherwise well-performing plants

These figures don’t just reflect lost production output. Downtime creates a cascade of additional costs that are often harder to quantify but just as damaging, including:

  • Overtime labor and expedited staffing
  • Scrap, rework, and quality losses from interrupted processes
  • Emergency maintenance and rushed replacement parts
  • Contractual penalties and missed delivery commitments
  • Lost customer trust that affects future orders

The true cost of downtime also varies by industry. Automotive, electronics, food and beverage, and pharmaceuticals, for example, often face higher per-minute costs due to tight tolerances, regulatory requirements, or continuous production models.

What makes downtime especially dangerous is how quickly it compounds. A brief outage can trigger scheduling delays, inventory shortages, and bottlenecks that ripple across multiple shifts or facilities. In many cases, manufacturers don’t fully recover the lost productivity—even after operations resume.

That’s why leading organizations treat downtime reduction as a strategic priority, not just a maintenance goal. 

The Best Ways to Monitor & Reduce Machine & Factory Downtime

Guessing downtime is costly—so tracking it is essential.

Relying on estimates instead of actual data can lead to misinformed decisions and expensive oversights. A data-driven approach to monitoring downtime gives you the clarity and control needed to improve efficiency and protect your bottom line.

Many companies rely on tracking tools and technology to catch minor issues before they escalate into major problems, including:

  • Specialized manufacturing software
  • Supervisory control and data acquisition (SCADA)
  • Machine sensors
  • Downtime tracking dashboards

Causes of Downtime in Manufacturing

Downtime happens for a lot of reasons, but a few stand out as the most common. Equipment failure is a big one. When machines break down from wear and tear or lack of maintenance, production stops, causing delays, missed deadlines, and lost revenue.

Human error is another frequent cause. Mistakes made on the line, whether from miscommunication, poor training, or skipped steps, can bring operations to an end. Even small errors can create big problems.

Other causes include software issues, unplanned maintenance, and supply chain delays. Each of these can interrupt workflows and cause slowdowns.

Discover how to prevent downtime in manufacturing due to cyberattacks like ransomware by watching our on-demand webinar: Keys to Cybersecurity in Manufacturing: Prevent Downtime, Stop Threats

Lauren Hando

Lauren Hando

Copywriter

Lauren Hando is a Copywriter for Impact's in-house marketing team. She writes, edits, and reviews copy for a variety of mediums—including print, digital, video, social, paid ads, sales collateral, and more—to motivate the target audience and support the sales team.

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ITBusiness GrowthManufacturing

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