Cutting 14% Downtime: How a Weaving Mill Handled Growing Demand Without Buying a New Machine

Costs · 3 min read · 02.09.2026

Client

A company in the technical textiles segment, 150 employees. Three-shift operation, the weaving mill ran seven days a week. Capacity was limiting growth — every hour of machine time directly affected delivery deadlines. The client is presented anonymously: this is a composite case study compiled from multiple projects by our consultants in the textile segment, to preserve customer confidentiality.

The project was initiated by the operations director. He had a purchase request for another weaving machine on his desk, and before signing it he wanted to know how much capacity could be extracted from the existing machine fleet.

Challenge

Unplanned downtime consumed 14% of the weaving machines' available time. Maintenance was firefighting — repairing only what had already stopped, often without spare parts in stock. Failure data was not recorded, so no one could say which machines were down the most and why. Night shifts without a technician meant the machine stayed down until morning.

Operators didn't know their machines. Textile dust clogged the sensors, and small leaks and wear went unnoticed until a machine stopped. Meanwhile, demand was growing. Management saw only one way out: a new machine with a several-month lead time and an investment that would tie up the development budget for years.

Approach

1. Diagnostics and downtime categorization. Together with the foremen, we introduced unified downtime codes and collected data directly on the shop floor for two weeks. Pareto analysis showed that five recurring failure modes — such as clogged sensors, worn guiding and insertion components, or pneumatic leaks — accounted for over 60% of unplanned stoppages. Failures were no longer a matter of chance. The foremen started categorizing them by root cause.
2. Autonomous maintenance pilot. On one group of machines, we defined CIL standards (cleaning – inspection – lubrication) and visualized them directly on the machines. Operators took over daily ten-minute checks and learned to detect defects at an early stage, while the machine was still running. Within three months, unplanned downtime in the pilot group dropped to half the weaving mill average.
3. Dividing responsibilities. We clarified role boundaries: operators carry out the first levels of autonomous maintenance, while the maintenance team manages planned preventive maintenance with intervals derived from failure data. Critical spare parts for the five key failure modes were moved to controlled stock — they no longer ran out on night shifts.
4. Rollout and consolidation. We transferred the standards from the pilot to all machines in the weaving mill and introduced TPM boards, daily meetings at the machines, and a weekly OEE review with a downtime trend. Management got numbers instead of gut feelings, and maintenance now plans interventions in advance instead of reacting to a foreman's phone call.

Results

The pilot brought the first effects; the full picture comes from the first nine months after the rollout to the entire weaving mill:

• Unplanned downtime of the weaving machines dropped from 14% to 6% of available time.
• OEE on the key line increased by 11 percentage points.
• The existing fleet freed up roughly 9% more machine time, and the investment in a new machine was postponed.

In the end, the company didn't buy the new machine — the capacity was found in the fleet it already had. Maintenance stopped firefighting and now works to plan. Operators treat the machines as their own and onboard new people through CIL standards instead of verbal handovers. The boards and short daily meetings work even without consultants present — the system is sustained by the foremen and the operations director as part of day-to-day management.

We address the same question — get more out of existing machines first, or buy new ones — in our manufacturing cost reduction projects. If an investment decision is on your desk, start with two weeks of downtime measurement. It costs an order of magnitude less than a single new weaving machine.

More on this topic

Changeover from 45 to 12 Minutes: How an Engineering Company Cut Costs Without Layoffs