Reliability metrics

MTBF analysis that respects the story behind the work order.

Move from a spreadsheet of repairs to a clearer view of failure patterns, reliability trends, and the questions worth asking next.

A
AYBE / NEXPHASE AIWork order → failure pattern → decisionMetrics are useful when they change what gets inspected, repaired, or planned next.

ДЛЯ РАБОТЫ МЕЖДУ ОТКАЗОМ И РЕМОНТОМ

ДОКУМЕНТЫ+НАРЯДЫ-ДОПУСКИ+ИНЖЕНЕРНАЯ ОЦЕНКА

Что меняется

Меньше поиска. Лучше вопросы.
Более обоснованная работа.

01

Ask against your history

Bring work-order history into AYBE and ask questions about recurring failures, equipment groups, and the conditions surrounding repair activity.

02

Put MTBF in context

Use calculated reliability measures as a starting point for investigation, alongside failure descriptions, dates, assets, and maintenance actions.

03

Connect the next action

Carry observed failure patterns into FMEA review, PM programme design, or a focused work-order review.

Практический рабочий процесс

От исходных материалов
к инженерной проверке.

NexPhase помогает работать быстрее, не скрывая решений, которые по-прежнему остаются за вашей командой.

01

Connect the record

Provide the work-order history and identify the equipment, time period, or failure family you want to understand.

02

Probe the pattern

Ask AYBE to compare recurring issues, identify concentration, and explain what the history does and does not show.

03

Decide what deserves attention

Use the analysis to focus engineering time on the assets, modes, and maintenance practices that warrant review.

Чёткие границы

Полезная аналитика,
а не ложная уверенность.

What does NexPhase use to analyse MTBF?+

The analysis is grounded in the work-order history you provide. The quality of asset identifiers, dates, failure descriptions, and completion records affects the usefulness of any result.

Is MTBF a guarantee of future performance?+

No. MTBF is a historical reliability measure, not a promise. It should be interpreted with failure mode, operating context, and data quality in mind.

Следующий полезный вопрос ближе, чем вы думаете.

Задействуйте данные
по обслуживанию.

Исследовать NexPhase