What are the stages of a work order lifecycle?

Six: request, screen and approve, plan, schedule, execute, and close. The request reports the problem; approval decides whether it becomes a work order; planning defines how and what is needed; scheduling sets when and who; execution does the work and records what was found; and close captures the failure cause, actual parts, and labor into the asset history.

Why do you need an approval step between a request and a work order?

The approval gate keeps the backlog meaningful. Without it, duplicate and low-value requests auto-become work orders and crowd out critical work. The gate lets a supervisor merge duplicates, defer non-urgent items, and prioritize. It also lets you keep the request intake wide open, encouraging operators to report early warnings, without flooding the crew with unfiltered jobs.

What should a work order include before it is scheduled?

A planned work order defines the tasks and procedure, the parts and whether they are on hand, the tools and skills required, any permits or lockout steps, and a safe method. Planning answers how the job is done and what it needs; scheduling then answers when and who. Doing the planning before scheduling is what raises wrench time, because the technician arrives to a ready job.

What makes a good work order close-out?

A close-out is good when it records the real failure cause coded consistently, the actual labor hours, the parts actually used, what was found versus what was reported, and the downtime start and end. That data is the raw material for MTBF, MTTR, spares planning, and predictive maintenance. A job marked complete with no notes throws all of that away.

Can a work request become a work order automatically?

It can, but auto-converting every request is usually a mistake, it removes the gate that keeps duplicates and low-value jobs out of the backlog. A better pattern is automatic conversion only for well-defined, pre-approved request types (like a standard PM trigger), while everything else passes through a quick screen-and-approve step first.

How does the work order lifecycle improve reliability?

It produces clean, consistent data. Every closed work order with a coded failure cause and real actuals adds to the asset history, and that history is what reliability analysis runs on, failure patterns for predictive maintenance, MTBF and MTTR trends, and evidence for where to change maintenance strategy. A broken lifecycle produces broken data, and no reliability program can be built on it.

From Work Request to Work Order to Close

Q: What is the difference between a work request and a work order?

A work request is an ask, anyone reports that something needs attention, usually just a symptom, an asset, and an urgency. A work order is the approved, planned instruction to do the job, owned by a planner and carrying tasks, parts, labor, and a link to the asset. Requests become work orders only after a screen-and-approve step decides they are worth the crew's time.

The full CMMS lifecycle, how a request becomes an approved, planned, scheduled, executed, and closed-out work order, and where it usually breaks.

The work order lifecycle is the path a maintenance job travels from the moment someone notices a problem to the moment the finished job is recorded. It has six stages, request, screen and approve, plan, schedule, execute, and close and a CMMS exists to move jobs through them without anything falling through the cracks.

The distinction that trips people up is at the very start: a work request is not a work order. Confusing the two is why some plants drown in a backlog of half-described complaints while others quietly lose real problems in someone's inbox. This guide walks the full lifecycle, explains why the request and the order are deliberately separate, and shows what a proper close-out has to capture.

What is the difference between a work request and a work order?

A work request asks for maintenance; a work order authorizes and details it. The request records what is wrong; the order is the approved plan for how it gets fixed. One is an input anyone can create; the other is a controlled document a planner or supervisor owns.

The request is the raw ask; the work order is the approved, planned, resourced instruction. The gate between them is where a supervisor decides what actually deserves the crew's time.

What are the stages of the work order lifecycle?

Six stages carry a job from noticed to recorded. In a healthy shop each one has an owner and a clear exit, so nothing stalls in an ambiguous middle.

Request. Someone, an operator, a quality tech, a manager, reports a problem through a standard form: asset ID, what is wrong, how urgent, who to contact. A good request captures enough to triage without demanding the reporter diagnose the fault. Making this dead simple is what gets problems reported at all.
Screen and approve. A supervisor or planner reviews the request: is it real, is it a duplicate, does it warrant work? Approved requests become work orders; the rest are merged, deferred, or closed with a reason. This gate is the single most valuable step, it keeps the maintenance backlog honest.
Plan. The planner defines the job before it is scheduled: tasks and procedure, parts and their availability, tools, skills, permits, and a safe method. Planning answers how and what is needed and it is where most future wrench time is won or lost.
Schedule. Scheduling answers when and who slotting the planned job against equipment availability, crew capacity, and priority. Keeping planning and scheduling as separate steps is a core discipline of good maintenance planning and scheduling.
Execute. The technician does the work against the plan, records what they actually found and did, and flags anything the plan missed. Real execution notes, not just a checkbox, are what make the close-out useful.
Close. The job is completed, verified, and recorded: failure cause coded, actual parts and labor logged, asset history updated. A work order is not done when the wrench goes down; it is done when it is closed with the truth of what happened.

Six stages, one gate, one feedback loop. The screen-and-approve gate protects the backlog; the close-out loop feeds asset history back into planning.

Why separate the request from the work order?

Because the gate between them is the only thing standing between an open intake and an unmanageable backlog. If every reported problem became a work order automatically, three things would go wrong fast: duplicates would pile up, low-value jobs would crowd out critical ones, and the backlog would lose all meaning as a planning tool.

The separation also protects the people doing the reporting. When an operator can raise a request in seconds and trust that a planner will triage it, they report more, including the small anomalies that are early warnings. Bury them in a heavy form or ignore their requests, and reporting dries up, taking your early fault signals with it. A clean request-to-order gate is what lets you open the intake wide without flooding the crew.

What makes a good close-out?

A close-out is good when the work order, read a year later, tells you exactly what failed, why, and what it took to fix. That record is the raw material for every reliability metric you will ever compute. A weak close-out, completed, no notes throws that data away.

Close-out captures	Why it matters later
Failure cause, coded consistently	Builds the failure-mode history behind reliability analysis
Actual labor hours	Feeds MTTR, planning estimates, and crew capacity
Parts actually used	Keeps spares inventory and reorder points accurate
What was found vs. what was reported	Improves triage and future job plans
Downtime start and end	Anchors availability and downtime metrics to real numbers

The close-out is where a work order stops being a task and becomes data. Coded failure causes are what make an asset history worth analyzing.

Every field on a properly closed work order feeds a downstream number. An empty close-out starves all of them at once.

This is why the loop back to asset history in the diagram matters more than any single stage. Consistent close-out coding is what turns a year of work orders into a real reliability program, the failure data behind MTBF the wear patterns behind predictive maintenance and ultimately the plantwide gains in equipment reliability. Skip it and every downstream metric is built on sand.

Where does the lifecycle break?

Almost always at the two ends. At the front, requests are too hard to raise, so problems go unreported or get shouted across the floor and forgotten. In the middle, the approve gate is skipped and every request auto-becomes a work order, so the backlog balloons. At the back, jobs get marked complete without a real close-out, so the asset history is empty when you need it. Each break is a data break, and a maintenance system with broken data cannot tell you where to spend the next dollar. The fix is rarely more software features, it is making the request effortless, the gate real, and the close-out non-optional, then measuring your planned maintenance percentage to see whether the discipline is holding.

How do you tell if the lifecycle is working?

You watch a handful of numbers that each expose a different stage. None of them requires new software, they fall out of a CMMS that is actually being used the way the six stages intend.

Backlog age and size. A backlog that only grows, or that is full of months-old requests nobody screened, means the approve gate has stalled. A healthy backlog is roughly four to six crew-weeks of ready work and turns over steadily.
Planned maintenance percentage. The share of work done as planned, scheduled jobs rather than reactive scrambles. Rising planned percentage is the clearest sign the front of the lifecycle is doing its job.
Schedule compliance. How much of the scheduled week actually got done as scheduled. Low compliance points to bad planning estimates or too many interruptions breaking into the plan.
Close-out completeness. The share of closed work orders with a coded failure cause and real actuals. This is the quietest metric and the one that decides whether any of the others can be trusted next quarter.

Read together, these tell you where the lifecycle leaks. A growing backlog with high reactive work says requests are becoming fires before they are ever planned. High completion but empty close-outs says the crew is fixing things and throwing the evidence away. Each pattern points to one specific stage to repair, which is the practical payoff of thinking in stages at all.

What the numbers say

Running work through a planned lifecycle instead of reacting is where the money is. The U.S. Department of Energy's FEMP O&M guidance, maintained by PNNL, reports that moving from reactive to a proactive, planned program can cut maintenance costs on the order of 30–40% with condition-based approaches saving 8–12% over preventive-only (PNNL, O&M Best Practices: Maintenance Approaches). None of that is reachable without a clean request-to-close workflow underneath it.
The workflow also protects scarce labor. The U.S. Bureau of Labor Statistics projects 13% growth (2024–2034) for industrial machinery mechanics and millwrights, much faster than average, with roughly 54,200 openings a year (BLS Occupational Outlook Handbook). A tight lifecycle keeps those hours on real jobs instead of chasing duplicates and rework.

The work order lifecycle is not paperwork for its own sake. It is the mechanism that turns a noisy stream of problems into planned, resourced, recorded work, and into the asset history every reliability decision leans on. Get the request-to-close loop clean and the metrics take care of themselves. For how one plant tightened the loop between the floor and its systems, read the CLS case study.