TPM Architecture, Pillars and Deployment Framework

Introduction

Total Productive Maintenance (TPM) is an enterprise-wide system for maximizing the effectiveness of equipment, processes, people and management systems. Although TPM originated in the maintenance function, it is not equivalent to preventive maintenance. Preventive maintenance primarily controls equipment deterioration through planned technical interventions. TPM extends this responsibility to operators, engineers, production managers, quality personnel, suppliers and senior leadership.

The central proposition of TPM is that equipment performance is a shared organizational outcome. Breakdowns, defects, slow running, changeover losses, unsafe conditions and weak maintenance practices are not isolated maintenance problems; they are symptoms of weaknesses in the production system. TPM therefore combines technical maintenance, employee involvement, problem-solving, visual management, standardization and continuous improvement.

A useful way to express the managerial logic is:

This is a conceptual relationship rather than a measured engineering equation. It emphasizes that a severe weakness in any one factor can constrain the overall result. TPM is consequently both a reliability strategy and an organizational change programme.

Learning Objectives

By the end of this chapter, the reader should be able to:

1. Explain the architecture and objectives of TPM.
2. Describe the eight TPM pillars and their interdependencies.
3. Allocate responsibilities among operators, maintenance personnel, managers and senior leaders.
4. Evaluate organizational readiness and TPM maturity.
5. Design a phased TPM deployment framework.
6. Select and govern a suitable pilot area.
7. Use audits, indicators and review mechanisms to control implementation.
8. Critically assess the limitations and risks of TPM deployment.

1. TPM Architecture: From Maintenance Function to Operating System

TPM architecture can be understood as a set of connected layers. The foundation consists of 5S, discipline, safety, stable standards and reliable data. The pillars provide structured improvement activities. The management system supplies policy, targets, resources and review. The intended result is improved equipment effectiveness, quality, delivery, cost, safety, morale and environmental performance.

TPM is often associated with Overall Equipment Effectiveness (OEE). For a selected machine or process:

where Availability, Performance and Quality are expressed as proportions rather than percentages. Availability is commonly calculated as:

Performance is commonly calculated as:

Quality is:

These formulas assume that the time definitions, production counts, ideal cycle time and defect classifications are consistently established. If percentages are used, they must be converted to proportions before multiplication. OEE is a diagnostic indicator, not a complete measure of manufacturing excellence. A high OEE on a non-bottleneck machine may have little strategic value, while maximizing OEE can sometimes encourage excessive production or large inventories.

For example, if Availability = 0.90, Performance = 0.95 and Quality = 0.98:

The architecture of TPM must therefore connect local equipment indicators to business priorities, customer requirements and system constraints.

1.1 Foundational principles

The main principles are:

• Prevention: eliminate the causes of failures, defects and accidents rather than repeatedly reacting to them.
• Ownership: assign clear responsibility for basic equipment conditions and improvement.
• Small-group activity: use cross-functional teams close to the process.
• Loss orientation: define performance gaps as losses that can be measured and reduced.
• Standardization: convert successful practices into documented and teachable standards.
• Lifecycle thinking: consider maintainability, operability and reliability from equipment design through disposal.
• Visual control: make abnormal conditions, standards, targets and trends immediately visible.
• Continuous learning: treat failures and deviations as sources of organizational knowledge.

2. The Eight TPM Pillars

The eight pillars are commonly presented as a coordinated framework. Organizations may use different names or combine activities, but the underlying disciplines remain broadly consistent.

2.1 Focused improvement (Kobetsu Kaizen)

Focused improvement targets chronic, recurring or strategically significant losses. It uses structured problem-solving rather than general exhortations to “work harder.” Typical methods include Pareto analysis, loss trees, 5 Why analysis, cause-and-effect diagrams, failure mode and effects analysis (FMEA), statistical process control and designed experiments.

A focused-improvement team should define the problem operationally, establish a baseline, distinguish symptoms from causes, test countermeasures and verify results. The team must also prevent recurrence by updating standards, training and inspection routines.

A major managerial issue is prioritization. Not every problem deserves a project. Selection should consider safety risk, customer impact, bottleneck status, cost of loss, recurrence, strategic importance and feasibility. Improvement activity that is disconnected from plant constraints can produce impressive local results without improving total output.

2.2 Autonomous maintenance (Jishu Hozen)

Autonomous maintenance develops operators’ capability to maintain basic equipment conditions. It normally includes cleaning, inspection, lubrication, tightening, abnormality detection, minor adjustments and visual controls. The objective is not to transfer specialist maintenance work indiscriminately to operators. Rather, it separates routine care that operators can safely perform from technical work requiring qualified maintenance personnel.

A typical progression is:

1. Initial cleaning and abnormality identification.
2. Elimination of contamination sources and inaccessible points.
3. Establishment of cleaning, lubrication and inspection standards.
4. General inspection and operator skill development.
5. Autonomous inspection and condition monitoring.
6. Standardization of autonomous activities.
7. Sustained self-management and continuous improvement.

The boundary between operator and maintenance responsibility must be explicit. Safety-critical, high-energy, electrical, software-controlled or legally regulated tasks should remain with authorized specialists unless competence and authorization are formally established.

2.3 Planned maintenance

Planned maintenance creates a deliberate balance among corrective, preventive, predictive and proactive work. It includes maintenance scheduling, spare-parts planning, work-order control, failure analysis, lubrication management, shutdown planning and maintenance performance measurement.

Maintenance policies should be based on equipment criticality and failure behavior. Time-based preventive maintenance is useful when failure probability increases with age or when regulatory requirements prescribe inspection intervals. Condition-based maintenance is appropriate when a measurable condition provides warning before functional failure. Run-to-failure can be rational for low-consequence, inexpensive and non-critical items. Reliability-centered maintenance (RCM) provides a structured way to select an appropriate policy for each failure mode.

Planned maintenance should not be measured only by the volume of completed work orders. Quality indicators include schedule compliance, emergency-work proportion, repeat failures, mean time between failures (MTBF), mean time to repair (MTTR), maintenance cost, backlog age and safety performance.

MTBF and MTTR require consistent definitions. For repairable equipment, a simple operational measure is:

These measures are meaningful only when operating time, failure events and repair-time boundaries are defined consistently. They should not be compared across assets with materially different operating contexts without adjustment.

2.4 Quality maintenance

Quality maintenance seeks to prevent the conditions that generate defects. It shifts attention from detecting defective output to controlling equipment and process conditions that are critical to quality. Examples include correct temperature, pressure, alignment, torque, dosage, speed, cleanliness and software parameters.

Quality maintenance activities include:

• identifying process and equipment conditions linked to defects;
• defining quality-critical parameters and acceptable limits;
• establishing inspection and reaction standards;
• controlling measurement-system capability;
• using defect data for root-cause analysis;
• preventing recurrence through design and process changes.

The concept of “zero defects” should be interpreted as a direction and management aspiration, not as a claim that variation can be eliminated absolutely. Statistical control, robust design and error-proofing are more reliable than inspection alone.

2.5 Early equipment management

Early equipment management integrates operational and maintenance knowledge into the design, procurement, installation and commissioning of new equipment. It addresses maintainability, accessibility, cleanability, diagnostic capability, spare-parts commonality, safety, energy use, changeover time and operator ergonomics.

A common failure in capital projects is to optimize purchase price while neglecting lifecycle cost. Early equipment management uses design reviews, maintainability analysis, commissioning checklists, acceptance criteria and lessons learned from existing equipment. Operators and maintainers should participate before specifications are finalized, not merely after problems appear.

The principle also applies to process changes, automation, robotics, information systems and major refurbishments. A technically advanced asset can underperform if its interfaces, controls, training requirements or spare-parts strategy are poorly designed.

2.6 Training and education

TPM requires competence, not merely participation. Training and education identify the knowledge and skills needed for operators, technicians, engineers, supervisors and managers. Competence may include equipment operation, abnormality recognition, lubrication, measurement, problem-solving, safety isolation, data interpretation and coaching.

A robust system includes a skills matrix, task-based qualification, supervised practice, refresher training and verification of performance. Training should distinguish awareness, knowledge, practical skill and authorization. A certificate of attendance is not evidence of competence.

Training also supports succession and resilience. If only one technician understands a critical control system, the organization has a capability risk even if the equipment is currently reliable.

2.7 Safety, health and environment (SHE)

SHE is a core TPM pillar because a reliable process that injures people or causes environmental harm is not operationally excellent. TPM teams should identify hazards in cleaning, inspection, lubrication, maintenance, startup, changeover and abnormal conditions.

Essential controls include risk assessment, machine guarding, lockout/tagout or equivalent energy isolation, permit-to-work systems, chemical controls, ergonomic design, emergency preparedness and environmental monitoring. Safety cannot be traded for output targets. Production pressure that encourages bypassing safeguards is a governance failure, not a TPM success.

Environmental aspects include energy, water, emissions, waste, leaks and hazardous materials. Where relevant, TPM can support environmental management systems and legal compliance, but local legal requirements always take precedence over voluntary TPM practices.

2.8 Office TPM

Office TPM extends the principles of loss elimination and flow improvement to planning, procurement, engineering, finance, human resources, information technology and administration. Office losses include incorrect bills of material, delayed purchase orders, incomplete work orders, slow approvals, inaccurate master data, poor scheduling and ineffective communication.

Office TPM should not become a vague campaign to “improve administration.” It requires process definitions, customers and suppliers, measurable lead times, error categories and standards. Examples include reducing purchase-order cycle time, improving spare-parts data accuracy, eliminating duplicate data entry and ensuring that maintenance history is complete and usable.

3. Interdependence of the Pillars

The pillars are mutually reinforcing. Autonomous maintenance reveals abnormalities; planned maintenance resolves technical causes; focused improvement eliminates chronic losses; quality maintenance prevents defect recurrence; training creates capability; early equipment management embeds learning in new assets; SHE protects people; and office TPM improves the information and material flows supporting all other activities.

The pillars should not be implemented as eight independent projects. For example, asking operators to perform autonomous inspections without improving access, training or maintenance response can create frustration. Likewise, increasing preventive-maintenance tasks without reviewing failure modes can generate unnecessary work and reduce availability.

4. Organizational Roles and Governance

TPM requires vertical and horizontal alignment. Senior leaders provide direction and resources; middle managers translate policy into priorities; supervisors coordinate daily activity; operators and technicians execute standards and identify abnormalities; support functions remove systemic barriers.

Governance should define decision rights. A steering committee that only receives presentations but cannot resolve resource conflicts is symbolic rather than effective. Likewise, local teams need enough authority to correct minor abnormalities without waiting for multiple approvals.

5. TPM Maturity and Readiness

TPM maturity is better viewed as a progression of organizational capability than as a simple score. A useful five-stage model is:

A mature organization is not one with the largest number of forms or the most audits. Maturity is demonstrated by stable conditions, competent people, rapid learning, prevention of recurrence and alignment with business results.

5.1 Readiness assessment

Before launch, an organization should assess:

• leadership commitment and availability of resources;
• reliability of production, maintenance and quality data;
• safety and legal compliance status;
• equipment criticality and current loss profile;
• condition of 5S and visual management;
• competence and workforce stability;
• maintenance-planning capability and spare-parts control;
• labor relations and change readiness;
• alignment with existing lean, quality or operational-excellence programmes;
• ability to protect time for team activities.

A readiness assessment should combine document review, interviews, workplace observation, data analysis and sample audits. A numerical score can support comparison, but it should not conceal critical red flags. For example, a high average score cannot compensate for uncontrolled hazardous energy or falsified maintenance records.

6. Policy Setting and Master Planning

TPM policy states why the organization is adopting TPM, what outcomes are expected, the scope of deployment, leadership principles and the relationship with other management systems. Policy should be concise enough to guide decisions and specific enough to be translated into objectives.

A master plan converts policy into a staged programme. It normally defines:

1. current-state assessment;
2. target condition and strategic priorities;
3. pilot area and selection criteria;
4. pillar sequence and milestones;
5. training and communication plan;
6. data and information-system requirements;
7. audit and review architecture;
8. resource requirements and expected benefits;
9. scale-up criteria and enterprise rollout schedule.

Targets should include leading and lagging indicators. Leading indicators may include completion of skills qualification, standard compliance, abnormality closure, planned-maintenance schedule compliance and quality of root-cause analysis. Lagging indicators may include breakdown hours, defect rate, OEE, safety incidents, energy consumption and cost.

Targets must be traceable to a baseline and time period. A target to “improve OEE” is incomplete unless the equipment boundary, calculation rules, baseline, target date and responsible owner are specified.

7. Pilot Selection and Deployment

A pilot should be important enough to demonstrate value but stable enough to support learning. Selection criteria may include:

• significant and measurable losses;
• a committed area manager and team;
• manageable equipment boundaries;
• representative technology or process characteristics;
• accessible data;
• potential for cross-functional learning;
• no unresolved condition that makes safe work impossible.

Choosing only the best-performing area may produce an easy success with little learning. Choosing the worst area may overwhelm the programme. A strategically representative area is usually preferable.

7.1 Phased deployment framework

Phase 1: Prepare and align. Establish governance, communicate purpose, assess readiness, confirm legal and safety requirements, define the baseline and train leaders.

Phase 2: Restore basic conditions. Implement 5S, remove sources of contamination, tag abnormalities, restore guarding and correct fundamental deterioration. Basic conditions are a prerequisite for meaningful improvement.

Phase 3: Establish autonomous maintenance. Create operator standards, visual controls, inspection points, escalation rules and qualification requirements.

Phase 4: Strengthen planned maintenance. Classify assets, review failure modes, optimize preventive tasks, improve work planning and develop condition-monitoring practices where justified.

Phase 5: Attack priority losses. Use focused-improvement teams to reduce chronic losses, quality defects, setup losses, minor stops and speed losses.

Phase 6: Integrate quality, training, SHE and office processes. Link equipment conditions to defects, formalize competence, eliminate hazards and improve supporting information flows.

Phase 7: Capture learning and expand. Audit the pilot, verify benefits, revise standards and deploy the adapted model to additional areas.

Phase 8: Institutionalize and renew. Embed TPM in budgeting, capital approval, performance management, supplier development and daily management.

The sequence is not rigid. Safety work may precede every other activity, while focused improvement may begin early when a critical loss threatens the business. The framework is a governance structure, not a substitute for judgment.

8. Audits, Reviews and Control

TPM audits should verify the quality of the management system, not merely the presence of posters or completed forms. A useful audit examines whether:

• standards exist and reflect actual work;
• personnel understand and can perform them;
• abnormalities are visible and closed effectively;
• maintenance plans are technically justified;
• failures lead to learning and prevention;
• data are accurate and definitions are stable;
• safety controls are applied in practice;
• improvements are sustained after initial attention declines.

Audits should use evidence, interviews and direct observation. Scores should be supported by findings, owners and due dates. Independent audits are useful for credibility, but local self-assessment is essential for daily ownership.

A tiered review system may include daily area reviews, weekly pillar-team reviews, monthly plant reviews and quarterly executive reviews. Escalation rules should distinguish issues that can be resolved locally from those requiring capital, engineering, policy or labor-relations intervention.

9. Technology, Data and AI in TPM

Computerized maintenance management systems, sensors, historians, mobile work orders and digital dashboards can improve TPM, but technology does not create discipline automatically. Poor master data, inconsistent failure codes and missing operating context can make advanced analytics unreliable.

Condition monitoring may use vibration, thermography, oil analysis, motor-current analysis or process signals. The monitoring method should be selected according to the failure mode and the warning characteristics of the asset. Installing sensors without a defined response process merely produces data.

AI can assist anomaly detection, failure prediction, work-order classification and knowledge retrieval. However, model outputs require human validation, especially where false alarms, missed failures, cybersecurity, safety or production decisions are involved. Governance should address data ownership, model drift, explainability, access control and retention. Predictive maintenance should supplement, not automatically replace, engineering judgment and statutory inspections.

10. Illustrative Case: TPM Deployment in a Packaging Line

Background

The following is a fictional illustrative case. A food-packaging plant operated a high-volume filling and sealing line. The line had frequent short stops, seal defects and emergency maintenance. Reported OEE was 62%, but the plant suspected inconsistent definitions and incomplete downtime recording.

Problem and analysis

A readiness assessment found that operators cleaned equipment but had no standard inspection routes. Maintenance work was mostly reactive, and minor stops were often recorded as “other.” The line’s actual constraints were not visible. A cross-functional team mapped the loss tree, standardized downtime categories and established a four-week baseline.

The pilot team identified three dominant losses: misaligned sealing jaws, film-feed interruptions and delayed response to recurring sensor faults. Safety risks were reviewed before any autonomous-maintenance task was authorized.

Approach

The team first restored basic conditions and improved guarding and access. Operators received training in cleaning, visual inspection, lubrication points and abnormality tagging. Maintenance created response standards and reviewed preventive tasks using failure history. Engineers redesigned a difficult-to-access sensor bracket. A focused-improvement team tested alignment gauges and introduced a start-up verification checklist.

The team calculated OEE using agreed definitions. In the baseline period, Availability was 0.82, Performance was 0.86 and Quality was 0.97:

The difference from the previously reported 62% was not treated as an immediate improvement. It showed that measurement discipline had changed. The team therefore used both the old and revised records cautiously and established the revised baseline for future comparisons.

After twelve weeks, Availability increased to 0.90, Performance to 0.91 and Quality to 0.985:

The result was accompanied by fewer emergency work orders, improved response to abnormalities and no increase in safety incidents. The plant did not claim that all improvement came from TPM; product mix and demand also changed. It used controlled comparisons and a review of operating conditions to assess contribution.

Learning points

1. Measurement definitions must be stabilized before performance claims are made.
2. Autonomous maintenance is effective only when technical boundaries and response systems are clear.
3. Design changes may be more powerful than additional inspection.
4. Safety authorization must precede delegation of maintenance tasks.
5. Pilot learning should modify the deployment model before scale-up.

11. Challenges and Limitations

TPM can fail when it is treated as a short campaign, a maintenance department initiative or an audit-scoring exercise. Other risks include:

• excessive paperwork that displaces improvement work;
• unrealistic targets that encourage data manipulation;
• inadequate labor consultation or perceived transfer of work;
• overuse of OEE as a universal performance measure;
• poor distinction between operator care and specialist maintenance;
• technology investments made without failure-mode analysis;
• failure to sustain standards after the launch team withdraws;
• conflict between local optimization and plant-wide flow;
• neglect of product mix, demand variation and bottleneck dynamics.

Ethically, organizations must ensure that TPM does not intensify work unsafely, conceal incidents, shift hazardous tasks to less protected workers or use performance data for unfair disciplinary decisions. Governance should preserve accurate reporting and provide channels for raising concerns without retaliation.

Best-Practice Guidelines

• Begin with business and safety problems, not with slogans.
• Establish common definitions for downtime, failure, defect and planned time.
• Make the pilot representative and adequately resourced.
• Restore basic conditions before demanding sophisticated analysis.
• Integrate operators and maintainers rather than creating competing ownership systems.
• Use failure-mode logic to select maintenance tasks.
• Link training to demonstrated competence.
• Audit behavior and results, not merely documentation.
• Verify benefits against a stable baseline and operating context.
• Make successful practices part of normal management, budgeting and design decisions.

Chapter Summary

TPM is an integrated production-management architecture for maximizing equipment and process effectiveness through prevention, employee involvement, standardization and continuous improvement. Its eight pillars are focused improvement, autonomous maintenance, planned maintenance, quality maintenance, early equipment management, training and education, safety-health-environment, and office TPM.

The pillars are interdependent and require governance across the enterprise. Operators contribute basic care and abnormality detection; maintenance specialists manage technical reliability; engineers improve design and process capability; managers provide resources and priorities; and senior leaders establish policy and remove barriers. TPM maturity develops from reactive behavior toward integrated and optimizing capability.

Successful deployment begins with readiness assessment, policy setting, baseline measurement and master planning. A carefully selected pilot then progresses through restoration of basic conditions, autonomous and planned maintenance, focused loss reduction, integration of quality and safety, auditing and controlled expansion. OEE, MTBF and MTTR are useful only when their definitions, units and data boundaries are consistent. Digital tools and AI can strengthen TPM, but they cannot replace sound failure analysis, competent people or ethical governance.

Key Terms

TPM: An enterprise-wide system for maximizing the effectiveness of equipment, processes and people.

TPM pillar: A structured area of activity supporting TPM objectives.

Autonomous maintenance: Operator-performed basic care, inspection and abnormality detection within defined competence boundaries.

Planned maintenance: Deliberate scheduling and control of corrective, preventive, predictive and proactive maintenance.

Focused improvement: Structured elimination of significant or recurring losses.

Quality maintenance: Control of equipment and process conditions that influence product quality.

Early equipment management: Application of operational and maintenance learning to new equipment and process design.

Office TPM: Application of TPM principles to administrative and support processes.

OEE: The product of Availability, Performance and Quality.

Availability: Proportion of planned production time during which equipment is operating.

Performance: Comparison of actual production speed with ideal speed.

Quality: Proportion of total output that is good output.

MTBF: Mean operating time between functional failures of repairable equipment.

MTTR: Mean time required to complete corrective repair.

Loss tree: A structured classification of sources of performance loss.

Readiness assessment: Evaluation of organizational capability and conditions before deployment.

Pilot area: A selected process or department used to test and refine TPM methods.

TPM maturity: The degree to which TPM practices are stable, integrated and capable of producing sustained results.

Visual management: Presentation of standards, abnormalities, targets and status so they are quickly understood.

Master plan: A staged roadmap defining TPM objectives, activities, resources, milestones and governance.

Review Questions

Short Answer Questions

1. Why is TPM broader than preventive maintenance?
2. Name the eight TPM pillars.
3. What is the purpose of autonomous maintenance?
4. Define OEE and identify its three components.
5. Why is a readiness assessment necessary before TPM deployment?

Long Answer Questions

1. Explain the interdependence of the eight TPM pillars and illustrate how weakness in one pillar can affect the others.
2. Discuss the roles of senior leaders, managers, operators, maintenance personnel and support functions in TPM governance.
3. Describe a phased TPM deployment framework from preparation through enterprise rollout.
4. Critically evaluate the usefulness and limitations of OEE as a TPM indicator.
5. Explain how early equipment management and training contribute to long-term TPM maturity.

Analytical / Application Questions

1. A machine has Availability of 0.88, Performance of 0.92 and Quality of 0.99. Calculate OEE and explain two managerial cautions that should accompany interpretation of the result.
2. Select a suitable pilot area for a factory with one stable but low-loss line and one high-loss line with weak safety controls. Justify your choice and identify conditions that must be addressed first.
3. An organization has many preventive-maintenance work orders but continues to experience repeat failures. Diagnose possible system causes and propose a TPM-based improvement plan.

Multiple Choice Questions with Answers

Question 1

Which statement best distinguishes TPM from conventional preventive maintenance?

A. TPM assigns all maintenance work to operators.

B. TPM integrates maintenance with production, quality, safety and employee involvement.

C. TPM eliminates the need for planned maintenance.

D. TPM focuses only on reducing spare-parts cost.

Correct Answer: B. TPM integrates maintenance with production, quality, safety and employee involvement.

Question 2

Which TPM pillar primarily addresses operator cleaning, inspection, lubrication and abnormality detection?

A. Autonomous maintenance

B. Office TPM

C. Early equipment management

D. Quality maintenance

Correct Answer: A. Autonomous maintenance

Question 3

If Availability is 0.90, Performance is 0.95 and Quality is 0.98, what is the approximate OEE?

A. 83.8%

B. 86.5%

C. 91.0%

D. 94.1%

Correct Answer: A. 83.8%

Question 4

Which activity is most closely associated with early equipment management?

A. Increasing emergency repair work

B. Designing equipment for maintainability and operability

C. Replacing all preventive maintenance with run-to-failure

D. Recording defects without investigating causes

Correct Answer: B. Designing equipment for maintainability and operability

Question 5

What is the principal purpose of a TPM readiness assessment?

A. To rank employees for disciplinary action

B. To determine whether organizational conditions support deployment

C. To calculate product selling prices

D. To eliminate the need for a pilot

Correct Answer: B. To determine whether organizational conditions support deployment

Question 6

Which measure is calculated as total operating time divided by the number of functional failures?

A. MTTR

B. OEE

C. MTBF

D. Quality rate

Correct Answer: C. MTBF

Question 7

Why should OEE not be used as the sole measure of manufacturing excellence?

A. It cannot include quality information.

B. It may encourage local optimization and ignores some wider business outcomes.

C. It is always impossible to calculate.

D. It measures only maintenance labor hours.

Correct Answer: B. It may encourage local optimization and ignores some wider business outcomes.

Question 8

Which condition is most appropriate for selecting a TPM pilot?

A. No manager is willing to support the work.

B. The area has significant losses, measurable data and committed leadership.

C. The area has uncontrolled hazardous-energy risks.

D. The area is selected only because it has the highest OEE.

Correct Answer: B. The area has significant losses, measurable data and committed leadership.

Question 9

Which TPM pillar applies loss-elimination principles to procurement, planning and administrative processes?

A. Office TPM

B. Planned maintenance

C. Autonomous maintenance

D. Safety, health and environment

Correct Answer: A. Office TPM

Question 10

What is the most appropriate role of AI-based predictive maintenance in TPM?

A. It automatically replaces all engineering judgment and statutory inspections.

B. It provides decision support that must be validated through failure knowledge and appropriate response processes.

C. It removes the need for accurate equipment data.

D. It guarantees that failures will never occur.

Correct Answer: B. It provides decision support that must be validated through failure knowledge and appropriate response processes.