SAP Plant Maintenance Training Course

Duration 10 days 20 modules · 65 contact hours
Level Intermediate Certificate on completion
Who attends Maintenance Planner, Maintenance Supervisor and others
Fee from USD 2,200 KSh 190,000 for Kenyan organisations
Where 52 cities + online See dates by city
Next start 16 Nov 2026 Course code SD-ME-157

Before you join: Participants should have experience in maintenance, engineering, asset management, operations support or SAP business processes.

Dates & prices

Two start dates a month in every city, and live online on weekdays or weekends. Fees are per participant; classroom fees include tuition, materials, lunch and refreshments, and the certificate.

Suggest a date or city

Showing the next six months. Later dates, other cities and private deliveries for your team are available on request.

Course overview

Maintenance performance depends on accurate asset records, disciplined work management and reliable failure data. When notifications are poorly coded, orders are released without materials or permits, and preventive plans are not linked to asset condition, organisations face avoidable downtime, higher maintenance cost and weak evidence for reliability decisions. SAP Plant Maintenance provides the process and data structure to control this work, but value depends on how planners, supervisors, technicians and reliability teams use it.

This course develops practical capability in SAP PM within SAP S/4HANA Asset Management. Participants work through functional locations, equipment, bills of materials, notifications, maintenance orders, task lists, preventive maintenance plans, measuring points, work clearance management, materials, external services, cost control and settlement. The course also covers maintenance scheduling, backlog control, shutdown planning, failure coding, ISO 14224 taxonomy, FMEA, reliability-centred maintenance and KPI reporting. Participants learn how SAP PM supports both day-to-day work execution and longer-term asset reliability improvement.

Instruction combines concise technical briefings, system-process demonstrations, maintenance cases, group analysis, scheduling simulations and application planning. Participants progressively develop a maintenance management work pack using realistic plant and infrastructure data, then complete a capstone review of the full process. They leave with reusable templates for master-data governance, notification coding, preventive maintenance design, weekly scheduling, reliability analysis and performance reporting.

The course suits professionals responsible for maintenance planning, asset data, work execution, reliability, engineering support and maintenance cost control. It is particularly relevant where SAP PM is already in use, being upgraded to SAP S/4HANA, or being prepared for improved maintenance discipline.

What you will be able to do

  • Structure functional locations, equipment records and maintenance master data for controlled asset history.
  • Create notifications and maintenance orders using status controls, catalog profiles and priority matrices.
  • Build task lists, work plans and cost estimates for internal and external maintenance work.
  • Design time-based, counter-based and condition-based preventive maintenance plans.
  • Schedule maintenance backlog using capacity requirements, dispatching rules and weekly commitments.
  • Analyse maintenance cost, downtime, backlog and compliance using SAP PM data and defined KPIs.
  • Apply ISO 14224, FMEA and RCM decision logic to recurring equipment failures.
  • Produce an SAP PM improvement work pack covering data, process, reliability and reporting actions.

Benefits of attending

For you

  • Plan and control maintenance work using recognised SAP PM process stages
  • Improve credibility when discussing backlog, schedule compliance and maintenance cost
  • Build evidence-based preventive maintenance plans from asset and condition data
  • Investigate repeat failures using standard coding, Pareto analysis and FMEA
  • Prepare for SAP PM key-user, planning or reliability responsibilities

For your organisation

  • Improved maintenance order quality, history capture and audit traceability
  • Higher schedule compliance through capacity-based weekly maintenance planning
  • Reduced repeat failures through structured coding and reliability analysis
  • Better maintenance cost visibility through planned-versus-actual order reporting
  • Stronger preventive maintenance governance across assets, sites and work centres

Course modules

20 modules over 10 days

Participants can map the SAP PM process from maintenance request to financial settlement.

  • SAP PM objects within SAP S/4HANA Asset Management architecture
  • Process map from notification through order closure and settlement
  • Maintenance strategies linked to corrective, preventive and condition-based work
  • Plant maintenance integration points with MM, FI, CO and QM
  • Roles, authorisations and audit trails in maintenance transactions
  • Asset hierarchy decisions affecting planning, reporting and cost collection

Participants can define master-data structures that support planning, history and reporting.

  • Maintenance planning plants, planner groups and work centres defined
  • Functional locations structured by system, location and maintainable boundaries
  • Equipment records built with manufacturer data, warranties and classification
  • Object types selected for serialised assets and repairable spares
  • Bills of materials assigned to equipment and functional locations
  • Class characteristics standardise asset attributes and reporting filters

Participants can create controlled maintenance requests and capture usable failure information.

  • Notification types distinguish breakdown, malfunction, activity and service requests
  • Catalog profiles code damage, causes, activities and object parts
  • Priority matrices translate business impact into response and completion targets
  • Malfunction start and finish times produce downtime records
  • Long-text standards capture symptom, condition and technical findings
  • Notification status controls handover, approval and order creation

Participants can create maintenance orders with controlled scope, status and technical context.

  • Order types govern planning, execution, settlement and approval routes
  • Control keys determine internal labour, external services and confirmation requirements
  • Operations, suboperations and relationships represent executable job sequences
  • Standard text keys create repeatable scopes, methods and acceptance criteria
  • Maintenance order statuses prevent premature release, closure and settlement
  • Reference objects carry history, costs and technical context into orders

Participants can build reusable job plans and derive planned maintenance costs.

  • Task lists capture operations, components, tools and standard labour values
  • General task lists support reusable methods across similar asset classes
  • Equipment task lists preserve asset-specific work instructions and history
  • Functional-location task lists organise system-level inspection and servicing work
  • Work centres provide capacity, activity types and scheduling formulas
  • Planned costs derive from labour, materials, services and overheads

Participants can control material and service requirements within maintenance orders.

  • BOM reservations identify planned components before order release
  • Material availability checks expose shortages and procurement lead-time risks
  • External operations create purchase requisitions, service entry and invoice controls
  • Service specifications define scope, quantities, acceptance and commercial limits
  • Repairable spares processes track removal, refurbishment and return-to-stock
  • Goods issues and returns preserve order-level material cost traceability

Participants can schedule maintenance work against capacity, priority and operating constraints.

  • Order dates calculated through operation durations, relationships and floats
  • Capacity requirements compared against work-centre availability and shift calendars
  • Dispatching rules sequence ready work by priority, dates and constraints
  • Maintenance backlog segmented by age, priority, craft and asset criticality
  • Weekly schedules freeze committed work and protect emergency capacity
  • Schedule compliance distinguishes planned, scheduled, started and completed work

Participants can control order release, execution confirmation, technical completion and closure.

  • Order release confirms permits, materials, capacity and technical readiness
  • Mobile execution captures confirmations, measurements, photos and failure codes
  • Actual labour and material postings compare execution against plan
  • Partial confirmations record progress, remaining work and revised completion dates
  • Technical completion controls outstanding reservations, purchasing and follow-up actions
  • Order closure validates history, costs and settlement readiness

Participants can design time-based maintenance plans using cycles, packages and scheduling parameters.

  • Time-based strategies define cycle sets, packages and call horizons
  • Single-cycle plans schedule recurring inspections, lubrication and statutory tasks
  • Strategy plans bundle short, medium and long interval packages
  • Maintenance items connect task lists to equipment or functional locations
  • Scheduling parameters control call objects, tolerances and automatic release
  • Maintenance plan completion updates due dates using confirmation data

Participants can use measurement data to trigger and schedule condition-based maintenance work.

  • Measuring points define counters, readings, limits and measurement positions
  • Measurement documents record meter readings, condition values and timestamps
  • Counter-based plans generate calls from operating hours, distance or cycles
  • Performance-based scheduling uses estimated and actual counter readings
  • Threshold values trigger notifications from adverse condition measurements
  • Data quality checks identify implausible readings and missing measurements

Participants can connect maintenance orders with isolation, permit and return-to-service controls.

  • Work clearance management links maintenance orders to isolation and permits
  • Permit-to-work steps coordinate operations, safety roles and release conditions
  • Lockout-tagout requirements documented through operational and maintenance procedures
  • Safety measures assign personal protective equipment and hazard controls
  • Clearance statuses prevent work before isolation verification and approval
  • Return-to-service checks confirm reinstatement, testing and operational handover

Participants can analyse maintenance cost and apply order-level financial controls.

  • Cost elements separate labour, materials, services and overhead allocations
  • Planned-versus-actual analysis identifies estimate errors and execution variance
  • Settlement rules transfer maintenance costs to cost centres or assets
  • Order budgets set tolerance limits and approval escalation points
  • Activity types price internal labour through controlling rate structures
  • Cost reports support monthly accruals, forecasts and variance commentary

Participants can define maintenance KPIs and interpret performance from SAP PM data.

  • Backlog weeks calculated from labour demand and available craft capacity
  • Schedule compliance tracks work completed within committed weekly windows
  • Planned maintenance percentage separates proactive orders from reactive work
  • Mean time between failures uses operating time and functional failures
  • Mean time to repair combines repair durations and repair counts
  • Dashboard definitions reconcile SAP order data with management KPI rules

Participants can identify recurring asset losses and investigate their underlying causes.

  • Failure codes standardise problem, damage, cause and remedy analysis
  • ISO 14224 taxonomy aligns equipment classes, failure modes and data fields
  • Pareto charts rank repeat failures by frequency, downtime and cost
  • Five Whys tests causal chains beyond immediate repair observations
  • Cause-and-effect diagrams organise mechanical, electrical, process and human factors
  • Bad-actor registers prioritise assets by recurring loss and intervention value

Participants can select maintenance strategies using criticality, FMEA and RCM decision logic.

  • Asset criticality matrices score safety, environmental, production and cost consequences
  • FMEA identifies failure modes, effects, controls and risk priorities
  • RCM decision logic selects condition-based, scheduled, redesign or run-to-failure tasks
  • Weibull analysis distinguishes infant mortality, random failures and wear-out patterns
  • Maintenance strategies revised using failure evidence, task effectiveness and economics
  • Reliability improvement proposals define owner, action, benefit and verification measure

Participants can explain and manage SAP PM integration points affecting maintenance delivery.

  • MM integration converts component demand into reservations and purchase requisitions
  • FI and CO integration posts maintenance costs and settlement documents
  • Quality notifications connect inspection findings with corrective maintenance orders
  • Project System links shutdown work packages to project structures
  • Document Management System attaches drawings, procedures and certificates
  • GIS and linear asset references locate work on networked infrastructure

Participants can plan and control maintenance work executed during planned outages.

  • Shutdown scopes assemble work lists, resources, materials and contractor requirements
  • Network logic sequences outage tasks using dependencies, durations and milestones
  • Critical-path analysis identifies schedule drivers and float consumption
  • Turnaround readiness reviews test drawings, spares, permits and work packs
  • Daily control rooms manage progress, constraints, changes and recovery actions
  • Post-outage reviews capture lessons, cost variance and scope growth

Participants can establish governance controls for maintenance data quality and accountability.

  • Master-data ownership assigns creation, change approval and periodic review responsibilities
  • Data standards define naming, coding, mandatory fields and validation rules
  • Duplicate detection resolves redundant equipment, materials and functional locations
  • Migration mapping reconciles legacy fields with SAP object structures
  • Role-based access separates requester, planner, supervisor and cost approval duties
  • Audit extracts demonstrate status history, approvals and master-data changes

Participants can define process ownership, governance routines and improvement priorities for SAP PM.

  • Maintenance process maps define handoffs from request through performance review
  • RACI matrices assign accountable roles for planning, execution and closeout
  • Planner-scheduler routines establish weekly gates, backlog reviews and escalation
  • Standard job plans reduce planning variability and improve estimate quality
  • Data review cadences convert KPI exceptions into corrective actions
  • Implementation roadmaps sequence governance, master data, process and reporting changes

Participants can build, review and present a complete SAP PM maintenance and asset reliability work pack.

  • Asset register excerpt establishes functional locations, equipment and criticality rankings
  • Notification analysis identifies failure patterns, priorities and corrective requirements
  • Maintenance plan combines task lists, cycles, packages and measurement triggers
  • Order work pack specifies operations, materials, services, costs and safety controls
  • Weekly schedule balances backlog, capacity, permits and material availability
  • Reliability proposal applies FMEA, KPIs and a quantified action register
  • Peer review tests data quality, process controls and presentation rationale

Exercises and examples are adapted to each cohort's sectors and roles.

What you take back to work

  1. Asset hierarchy and master-data governance template
  2. Notification coding and failure-data dictionary
  3. Maintenance order planning and weekly scheduling workbook
  4. Preventive maintenance plan design sheet
  5. Reliability-centred maintenance and FMEA analysis
  6. Plant maintenance improvement roadmap and KPI dashboard specification

Who should attend

  • Maintenance Planner — needs controlled work plans, backlog visibility and schedule discipline
  • Maintenance Supervisor — needs reliable order execution, permits and confirmation data
  • Reliability Engineer — needs failure history and maintenance strategy evidence
  • Maintenance Engineer — needs structured asset records and repeatable maintenance methods
  • Asset Manager — needs maintenance performance, cost and reliability reporting
  • SAP PM Key User — needs process knowledge to support users and data quality

Skills and tools covered

SAP PM work managementMaintenance master dataPreventive maintenance planningBacklog schedulingFailure data analysisAsset reliability improvement

Tools and standards

SAP S/4HANA Asset Management, ISO 55000, ISO 14224, Failure Mode and Effects Analysis

How the course runs

Training methodology

The course uses short instructor briefings followed by SAP PM process demonstrations, maintenance cases and facilitated group work. Participants interpret asset hierarchies, plan orders, build maintenance plans, schedule constrained backlog and review failure data. Simulations examine permit controls, material shortages, priority changes and shutdown constraints. Reliability cases apply ISO 14224 coding, Pareto analysis, Five Whys, FMEA and RCM logic. Individual application planning links the methods to each participant's assets, data issues and maintenance operating model.

Requirements and prerequisites

Participants should have experience in maintenance, engineering, asset management, operations support or SAP business processes. Familiarity with common maintenance terms such as work order, preventive maintenance, breakdown, spare parts and equipment history is assumed. Prior use of SAP PM is helpful but not essential; the course builds process capability before moving into detailed SAP PM transactions and controls. Participants do not need SAP configuration, ABAP programming, database administration or prior reliability engineering certification. Basic spreadsheet confidence is useful for planning and KPI analysis.

A typical training day

08:30 – 10:30First session
10:30 – 10:45Refreshment break
10:45 – 12:30Second session
12:30 – 13:30Lunch and networking
13:30 – 15:00Third session
15:00 – 15:15Refreshment break
15:15 – 16:30Workshop and daily review

Live online deliveries follow the same structure in East Africa Time, with shorter screen blocks and longer breaks.

What the fee includes

  • Instruction by a practitioner facilitator
  • Full course workbook and materials
  • Exercise files, templates and case studies
  • Refreshments and lunch on classroom deliveries
  • Certificate of completion
  • Post-course application plan

Frequently asked questions

Prior SAP PM use is helpful but not mandatory. Participants should understand basic maintenance work, such as planned work, breakdowns, spare parts and work orders; configuration and programming knowledge are not required.

Bring examples of maintenance plans, backlog reports, notification forms, failure codes or KPI reports if your organisation permits sharing them. A laptop is useful for personal notes and application planning, but course materials are provided.

The course is designed for maintenance planners, supervisors, engineers, reliability professionals, asset managers and SAP PM key users. It is most useful for people who shape maintenance work, data or performance reporting.

This course focuses on maintenance processes, master data, work management and reliability decisions made by business users. It explains how configuration choices affect operations, but it does not teach IMG configuration, ABAP development or system administration.

Participants can use the templates to review notification quality, preventive maintenance plans, backlog routines, failure coding and KPI definitions. The capstone work pack provides a practical starting point for a site-level SAP PM improvement action plan.

Each training day runs from 08:30 to 16:30 and provides about 6.5 contact hours. The first week builds SAP PM work-management capability, while the second week focuses on reliability, integration, governance, improvement planning and the final capstone.

Questions about this course?

Ask about dates, fees, group bookings or running it for your team. Our training team replies by email.