Material & Equipment Management

Chapter 7
Medical Equipment Planning and Health Technology Assessment

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Medical Equipment Planning and Health Technology Assessment

Introduction

Medical equipment is a strategic resource rather than merely a purchased asset. Diagnostic accuracy, treatment effectiveness, patient safety, staff productivity, service accessibility and financial sustainability all depend on decisions about what equipment is acquired, where it is installed, how it is operated and when it is replaced. Poor planning may produce expensive equipment that is underused, incompatible with existing systems, difficult to maintain or unsafe in the intended environment.

Medical equipment planning therefore integrates clinical demand, workload, capacity, technology evaluation, infrastructure, human resources, procurement, financing and life-cycle management. Health technology assessment (HTA) adds a structured, multidisciplinary process for evaluating the value and consequences of a technology. Although HTA is often associated with medicines, it is equally relevant to imaging systems, laboratory analysers, surgical equipment, information-enabled devices, monitoring systems and digital health technologies.

The central managerial question is not simply, “Can the organisation purchase this device?” It is: “Which technology, for which population and purpose, at what scale, in which location, under what operating conditions, and at what total cost, produces acceptable value and risk?”

Learning Objectives

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

  1. Conduct a structured needs assessment for medical equipment.
  2. Analyse workload, capacity, utilisation and service gaps.
  3. Scan the technology environment and distinguish innovation from proven value.
  4. Evaluate equipment clinically, technically, economically and ethically.
  5. Plan sites, infrastructure, workflows, human resources and information-system integration.
  6. Prepare functional and technical specifications without unfairly favouring a supplier.
  7. Construct an acquisition business case using life-cycle costing and total cost of ownership.
  8. Apply HTA principles to investment, replacement and disinvestment decisions.
  9. Identify governance, regulatory, cybersecurity and patient-safety risks.

1. Medical Equipment Planning as a System Decision

A medical device is part of a socio-technical system. Its performance depends on the interaction of:

  • patients and clinical protocols;
  • trained users and maintenance personnel;
  • buildings, electricity, ventilation, water and safety systems;
  • consumables, spare parts and service contracts;
  • information systems and data standards;
  • procurement, financing and regulatory arrangements.

Consequently, equipment planning should begin with a service or clinical problem, not with a catalogue or supplier demonstration. A robust planning cycle is:

  1. define the service problem and strategic objectives;
  2. estimate present and future demand;
  3. measure available capacity and identify the gap;
  4. examine alternatives, including redesigning the pathway or contracting externally;
  5. scan and shortlist technologies;
  6. conduct clinical, technical, economic and ethical assessment;
  7. design the site and implementation plan;
  8. specify, procure and commission the equipment;
  9. monitor performance, safety, utilisation and value;
  10. plan maintenance, replacement, upgrade or retirement.

This cycle is iterative. New evidence, changes in disease patterns, workforce constraints or interoperability requirements may justify revising an earlier decision.

Important terminology

Medical equipment refers to instruments, machines, appliances, software or related articles intended for diagnosis, prevention, monitoring, treatment or alleviation of disease or injury. Classification and regulatory terminology vary by jurisdiction.

Health technology is broader than equipment and may include medicines, procedures, organisational systems, digital applications and public-health interventions.

Capital equipment is an asset acquired for long-term use, generally requiring substantial initial expenditure. Consumables are used during service delivery and require recurring replenishment.

Utilisation describes the extent to which available capacity is used. Availability describes the proportion of required time that equipment is functional and ready for use.

HTA is a multidisciplinary process that systematically evaluates the properties, effects and impacts of a health technology, including clinical, economic, organisational, social, ethical and legal dimensions.

2. Needs Assessment and Demand Analysis

Needs assessment establishes whether an equipment-related problem exists and whether equipment is an appropriate response. It combines population information, epidemiology, clinical guidelines, referral patterns, waiting times, adverse events, equipment registers, user consultation and financial data.

A needs assessment should answer five questions:

  1. Which patients or populations require the service?
  2. What level of service is clinically appropriate?
  3. What volume, timing and geographical distribution of demand should be expected?
  4. What is the current service gap?
  5. What alternative interventions could address the gap?

Demand should not be equated with historical activity. Historical activity may be suppressed by long queues, unavailable staff, referral leakage, affordability barriers or unreliable equipment. Conversely, activity may be inappropriate or induced by weak clinical governance.

Demand forecasting

A simple forecast may use a population-based rate:

Dt = Pt × rt × ct

where Dt is forecast demand in period t (cases or procedures), Pt is the relevant population, rt is the expected service rate per person, and ct is a coverage or access factor. If the rate is expressed per 1,000 people, the calculation must divide the population by 1,000 before multiplication. The model assumes that the population, service definition and rate are consistently measured.

A more complete forecast can incorporate population growth, disease prevalence, referral changes, clinical-policy changes and technology substitution. Scenario planning is preferable to presenting a single false-precision estimate. For example, a manager may develop low, expected and high demand scenarios and test whether the proposed equipment remains viable under each.

Workload and capacity

Workload is the amount of service activity required. Capacity is the maximum feasible output under specified operating conditions. Nominal capacity is rarely equal to practical capacity because of preparation, cleaning, reporting, breaks, maintenance, training and interruptions.

For a single equipment unit, practical capacity may be estimated as:

C = Ta × u × q

where C is practical capacity (cases per planning period), Ta is available operating time (hours), u is the proportion of time realistically usable for patient work, and q is throughput (cases per hour). The variables must refer to the same period and patient mix. The factor u should not be confused with observed utilisation; it represents planned availability after scheduled non-case activities.

If each case requires average direct equipment time s hours, then q = 1/s only when cases are processed sequentially on one unit and the setup time is included in s. Where setup, turnover or parallel activities differ by case, a weighted workload calculation is more appropriate:

Tr = ∑i=1n Di si

where Tr is required equipment time, Di is demand for case type i, and si is average equipment time for that case type. Capacity is adequate only if available effective time is at least Tr, with a managerial allowance for variation and downtime.

A basic capacity gap is:

G = Tr − Ta

A positive G indicates insufficient available time under the stated assumptions; a negative value indicates nominal spare capacity. The result does not by itself justify purchasing equipment. Workflow redesign, extended hours, staff recruitment, preventive maintenance or referral agreements may be more economical.

Utilisation can be expressed as:

U = Tb ÷ Ta × 100%

where Tb is actual busy equipment time and Ta is available equipment time. High utilisation may indicate efficiency, but sustained utilisation near 100% can create queues, reduce resilience and increase the effect of breakdowns. Utilisation should therefore be interpreted alongside waiting time, cancellation rate, turnaround time, quality and safety.

3. Technology Scanning and Option Appraisal

Technology scanning is the systematic identification of emerging, available or alternative technologies that may affect service delivery. Sources include regulatory databases, professional bodies, clinical guidelines, peer-reviewed research, procurement networks, horizon-scanning agencies, standards organisations and structured consultation with clinicians and biomedical engineers.

Scanning should assess not only novelty but also maturity. A technology may be:

StageTypical management question
EmergingIs there credible evidence and a plausible future role?
Early adoptionCan the organisation safely participate in controlled evaluation?
EstablishedDoes comparative evidence support routine use?
Mature or decliningShould replacement, standardisation or retirement be considered?

Supplier claims are useful for identifying options but are not sufficient evidence of effectiveness. Managers should distinguish analytical validity, clinical validity, clinical utility and patient-outcome benefit. A device may measure a variable accurately yet fail to improve decisions or outcomes.

Options should include “do nothing,” service redesign, shared use, leasing, outsourcing, refurbishment where appropriate, a different technology, and additional units of the current technology. Excluding these options biases the business case toward acquisition.

4. Health Technology Assessment Framework

HTA evaluates a technology through multiple dimensions:

Clinical effectiveness and safety

Questions include:

  • Does the technology improve relevant patient outcomes compared with current practice?
  • Is evidence applicable to the target population and local clinical setting?
  • What are false-positive, false-negative, complication and failure rates?
  • Does it alter clinical decisions or merely generate additional information?
  • Are training, protocols and escalation pathways adequate?

Diagnostic technologies require attention to sensitivity and specificity. Sensitivity is the probability of a positive test among people with the condition; specificity is the probability of a negative test among people without it. Predictive values depend additionally on prevalence, so performance reported in one population may not transfer directly to another.

Economic evaluation

Economic analysis compares costs and consequences. The appropriate method depends on the decision:

  • Cost-minimisation analysis is appropriate only when alternatives have equivalent outcomes.
  • Cost-effectiveness analysis compares cost per natural health outcome, such as correctly diagnosed cases or life-years gained.
  • Cost-utility analysis commonly uses quality-adjusted life-years when both length and quality of life matter.
  • Cost-benefit analysis expresses consequences in monetary terms, although valuation may be difficult and ethically contested.
  • Budget-impact analysis estimates affordability and cash-flow consequences for a defined payer and time horizon.

A simplified incremental cost-effectiveness ratio is:

ICER = (C1 − C0) ÷ (E1 − E0)

where C1 and C0 are costs of the new and comparator technologies, and E1 and E0 are their effects. Costs must use the same currency, price year and perspective; effects must use the same outcome definition. The ICER is meaningful only when the incremental effect is not zero and when comparator selection is appropriate. It should not be interpreted as an automatic purchasing rule: affordability, equity, uncertainty and ethical considerations remain important.

Organisational and implementation impact

Assessment should consider changes to staffing, scheduling, consumables, infection prevention, referral pathways, reporting, maintenance, storage, waste management and emergency procedures. A technically superior device may fail if it increases complexity beyond local organisational capability.

Ethical, legal and social dimensions

Relevant issues include equitable access, privacy, informed consent, discrimination, accessibility for people with disabilities, occupational safety, allocation of scarce resources and the consequences of false reassurance or missed diagnosis. Procurement must comply with applicable medical-device regulation, public purchasing law, competition requirements, data-protection law and professional standards.

5. Clinical and Technical Evaluation

A multidisciplinary evaluation committee should normally include clinical users, nursing, biomedical engineering, infection prevention, information technology, finance, procurement, estates and risk management. Patient or public representatives can contribute to questions of accessibility, acceptability and outcomes.

Clinical evaluation should examine intended use, patient population, workflow, contraindications, usability, training burden, evidence quality and outcome measures. Technical evaluation should examine:

  • electrical and mechanical safety;
  • environmental requirements;
  • accuracy, precision and calibration;
  • reliability and maintainability;
  • cybersecurity and software support;
  • interoperability and data standards;
  • accessories, consumables and spare parts;
  • warranty, service response and local technical capacity;
  • decontamination and infection-control requirements;
  • obsolescence and upgrade pathways.

A weighted evaluation matrix can make judgements transparent. For example, criteria may be assigned weights that sum to 100%, and each option may receive a standardised score. The weighted score is:

Sj = ∑k=1m wk xjk

where Sj is the score for option j, wk is the weight for criterion k, and xjk is the option’s score on that criterion. If weights are percentages, they should be converted consistently, such as 0.25 rather than 25, and the scoring scale must be defined in advance. Weighted scoring supports comparison but does not replace professional judgement or minimum safety requirements. A device failing a mandatory safety criterion should be rejected regardless of its total score.

6. Site Planning and Implementation

Site planning begins before procurement. It should map the patient journey, staff movement, clean and dirty flows, equipment delivery route, installation location, storage and maintenance access. The plan should assess:

  • floor loading, room dimensions and door clearances;
  • electrical supply, earthing, surge protection and backup power;
  • heating, ventilation and air-conditioning;
  • shielding or radiation protection where applicable;
  • water, drainage, gases and medical vacuum;
  • lighting, acoustics and ergonomic conditions;
  • fire safety, emergency access and evacuation;
  • infection prevention and waste segregation;
  • network connectivity, data security and system integration.

Commissioning is distinct from delivery. It should verify installation, calibration, safety tests, connectivity, user acceptance, documentation, training and performance against specifications. Acceptance criteria should be written before the equipment arrives. A go-live decision should require signed evidence rather than verbal assurance.

Implementation should use a change-management plan. It should identify stakeholders, training needs, standard operating procedures, escalation arrangements, downtime procedures, reporting responsibilities and early performance indicators. A pilot or phased deployment may reduce risk for complex technologies.

7. Specifications and Procurement

A specification translates the service requirement into objective, testable requirements. It should state intended use, minimum performance, safety and regulatory requirements, environmental conditions, accessories, consumables, training, documentation, warranty, preventive maintenance, response times, cybersecurity obligations, data ownership and end-of-life responsibilities.

Specifications should be technology-neutral where possible. Describing the required clinical function rather than naming a brand promotes competition and reduces vendor lock-in. Brand references, if legally permitted, should be accompanied by “or equivalent” criteria and a defensible justification.

The specification should distinguish:

  • mandatory requirements, which an offer must meet;
  • scored requirements, which support comparative evaluation;
  • desirable features, which should not obscure essential performance.

Procurement governance should include conflict-of-interest declarations, documented evaluation, separation of duties, audit trails, transparent communication with bidders and controls against inappropriate gifts or inducements. Demonstrations and trials should use standardised scenarios and recorded results.

8. Life-Cycle Costing and Total Cost of Ownership

Purchase price is only one component of cost. Total cost of ownership (TCO) includes acquisition, installation, training, infrastructure, consumables, software, maintenance, calibration, energy, staffing effects, downtime, upgrades, decommissioning and disposal.

A simple undiscounted estimate is:

TCO = C0 + ∑t=1N(Ctop + Ctmaint + Ctcons + Cttrain) + CNdisp − RN

where C0 is initial acquisition and installation cost, Ctop is operating cost in year t, Ctmaint is maintenance cost, Ctcons is consumables cost, Cttrain is training cost, CNdisp is disposal cost at the end of year N, and RN is residual value or recovery. All costs should be measured from the same organisational perspective and in comparable price terms.

For investments with costs occurring over several years, discounting may be used:

PV = ∑t=0N Ct ÷ (1 + r)t

where PV is present value, Ct is the cost or benefit in period t, and r is the discount rate per period. The discount rate, time horizon, inflation treatment and perspective must be stated. If costs are already expressed in constant prices, a real discount rate should be used; nominal and real rates should not be mixed.

Worked example: comparing two analysers

An organisation compares analyser A and analyser B over five years. For simplicity, all values are in thousands of currency units and are undiscounted.

Cost componentAB
Purchase and installation180240
Five-year maintenance7560
Five-year consumables420350
Training and validation2025
Disposal1012
Residual value020
TCO705667

For A, TCO = 180 + 75 + 420 + 20 + 10 − 0 = 705. For B, TCO = 240 + 60 + 350 + 25 + 12 − 20 = 667. B has the higher initial price but the lower five-year TCO. The decision cannot end there: managers must verify that B meets clinical performance requirements, has adequate service support, and can process the expected workload. If B’s downtime were materially higher, the apparent saving could disappear through delayed diagnosis, outsourcing or cancelled procedures.

9. The Acquisition Business Case

A credible business case normally contains:

  1. executive decision requested;
  2. strategic and clinical context;
  3. problem definition and evidence of need;
  4. baseline activity, capacity and performance;
  5. options considered, including the comparator;
  6. clinical, technical and HTA findings;
  7. workforce, site and implementation requirements;
  8. financial appraisal and TCO;
  9. affordability and budget impact;
  10. benefits, measures and timescales;
  11. risks, mitigations and dependencies;
  12. procurement and governance route;
  13. recommendation and approval requirements.

Benefits should be measurable. Examples include reduced waiting time, increased availability, lower cancellation rates, improved diagnostic agreement, reduced repeat testing, fewer adverse events or improved access for underserved populations. Each benefit should have an owner, baseline, target, measurement method and review date.

10. Illustrative Case: Regional MRI Replacement

The following is a fictional illustrative case.

Background and problem

A regional hospital has one magnetic resonance imaging scanner installed nine years earlier. It experiences increasing downtime, long waiting times and difficulty obtaining replacement parts. Annual demand is 7,200 examinations. The scanner is practically available for 2,400 hours per year, but the average examination occupies 20 minutes of scanner time. Planned non-scan activities reduce effective utilisation to 85%.

Analysis

Required scanner time is:

Tr = 7,200 × (20 ÷ 60) = 2,400 hours per year.

Effective available time is:

Ta = 2,400 × 0.85 = 2,040 hours per year.

The estimated capacity gap is therefore:

G = 2,400 − 2,040 = 360 hours per year.

The gap is not automatically evidence for a second scanner. The team investigates protocol standardisation, extended hours, referral agreements, staffing, cancellation causes and whether all examinations require the same scanner time.

Options

The committee compares: maintaining the current scanner, refurbishing it, purchasing a new scanner, extending operating hours, and contracting selected examinations externally. The new scanner offers better uptime and lower energy use but requires room modification, additional radiographer coverage and network integration.

Approach and solution

The hospital conducts a clinical and technical evaluation, verifies local service support, obtains radiation and facilities advice where relevant, and prepares a five-year TCO. It selects a replacement scanner combined with workflow redesign and two evening sessions per week. Acceptance testing includes image-quality benchmarks, safety checks, data transfer, downtime procedures and staff competency assessment.

Outcome

In the first year, waiting time falls, cancellation rates decrease and repeat examinations decline. The business case is reviewed after twelve months using actual utilisation, maintenance expenditure, report turnaround time and patient-access data. The review identifies that equipment alone did not produce the improvement; staffing, scheduling and protocol redesign were essential.

Learning points

The case demonstrates that capacity analysis must include non-productive time, that replacement decisions should consider reliability and service continuity, and that an acquisition business case should connect capital expenditure with workflow, workforce and measurable outcomes.

11. Challenges, Limitations and Contemporary Developments

Evidence for equipment is often weaker than evidence for medicines. Technologies evolve rapidly, studies may use surrogate outcomes, and manufacturer-sponsored evidence may not reflect routine practice. Local costs, workforce capability and disease prevalence can differ substantially from published settings. Sensitivity analysis should test uncertain assumptions such as demand, downtime, consumable price, useful life and service-contract escalation.

Digital and AI-enabled equipment introduces additional concerns: algorithmic bias, model drift, explainability, data quality, cybersecurity, software updates and responsibility for clinical decisions. Procurement should require documentation of training data limitations, performance across relevant subgroups, incident reporting, update governance and fallback procedures. AI should support, not obscure, professional accountability.

Environmental sustainability is increasingly relevant. Assessment may include energy consumption, refrigerants, hazardous materials, packaging, repairability, upgradeability, reusability and disposal. A device with a lower purchase price may have a larger environmental and financial burden over its life.

Best practice is to use multidisciplinary governance, explicit alternatives, transparent criteria, lifecycle budgets, staged implementation, independent acceptance testing, reliable asset registers and post-acquisition evaluation. Equipment should be treated as part of a portfolio: standardisation can reduce training and spare-parts complexity, while excessive standardisation can prevent adoption of genuinely superior technologies.

Chapter Summary

Medical equipment planning is a strategic, multidisciplinary process that begins with a service need and continues through replacement or retirement. Needs assessment should distinguish underlying demand from observed activity and should combine population, epidemiological, clinical and operational evidence. Workload and capacity analysis requires consistent units and realistic allowances for setup, maintenance, staffing and downtime.

Technology scanning identifies alternatives but must distinguish novelty from demonstrated value. HTA evaluates clinical effectiveness, safety, economics, organisational consequences, ethics, law and equity. Clinical and technical evaluation should use multidisciplinary committees, objective criteria and mandatory safety gates. Site planning must address infrastructure, workflow, infection prevention, information systems and commissioning.

Specifications should be functional, measurable, technology-neutral and linked to acceptance tests. A sound business case compares options and uses life-cycle costing rather than purchase price alone. TCO includes acquisition, installation, training, maintenance, consumables, energy, software, downtime and disposal. Governance must address procurement integrity, regulatory compliance, cybersecurity, data protection, sustainability and accountability. Finally, equipment improves care only when it is integrated with appropriate staffing, processes, clinical governance and continuous evaluation.

Key Terms

Health technology assessment: Multidisciplinary evaluation of a technology’s effects, value and wider consequences.

Medical equipment: Device or system used for diagnosis, prevention, monitoring or treatment.

Needs assessment: Structured identification and analysis of a service or population requirement.

Demand forecasting: Estimation of future service volume using population, epidemiological and operational information.

Workload: Quantity of service activity or equipment time required.

Capacity: Maximum feasible output under defined operating conditions.

Utilisation: Proportion of available capacity used for productive activity.

Availability: Proportion of required time that equipment is functional and ready.

Technology scanning: Systematic identification of emerging and existing technology options.

Clinical effectiveness: Degree to which a technology produces desired outcomes in practice.

Sensitivity: Probability that a test is positive when the condition is present.

Specificity: Probability that a test is negative when the condition is absent.

Life-cycle costing: Evaluation of costs throughout acquisition, operation and disposal.

Total cost of ownership: Full organisational cost of owning and using an asset.

Incremental cost-effectiveness ratio: Additional cost divided by additional effect compared with an alternative.

Functional specification: Statement of required performance and purpose rather than a preferred brand.

Commissioning: Verification that installed equipment is safe, functional and fit for intended use.

Interoperability: Ability of systems and devices to exchange and use information appropriately.

Disinvestment: Planned reduction or withdrawal of a technology that provides insufficient value.

Review Questions

Short Answer Questions

  1. Why should equipment planning begin with a service problem rather than a supplier catalogue?
  2. Distinguish workload, capacity, utilisation and availability.
  3. What dimensions should a comprehensive HTA include?
  4. Identify four components of total cost of ownership besides purchase price.
  5. Why are acceptance testing and commissioning important?

Long Answer Questions

  1. Explain how a hospital should conduct a needs assessment and capacity analysis before purchasing major diagnostic equipment.
  2. Discuss the role of clinical, technical, economic, organisational and ethical evidence in HTA.
  3. Explain how functional specifications and procurement governance can reduce supplier bias and operational risk.
  4. Describe the principal elements of a medical equipment acquisition business case.
  5. Critically evaluate the advantages and limitations of weighted scoring matrices in equipment selection.

Analytical / Application Questions

  1. A laboratory expects 12,000 tests annually, each requiring 15 minutes of analyser time. The analyser is available for 2,000 hours annually, but only 80% is usable for patient testing. Determine required time, effective capacity and the capacity gap. State the assumptions behind your calculation.
  2. Two devices have different purchase prices, maintenance costs, consumable costs and residual values. Design a five-year TCO comparison and explain which non-financial factors could override the lower-cost option.
  3. Develop an evaluation plan for an AI-enabled diagnostic device, including clinical performance, subgroup equity, cybersecurity, workflow effects, accountability and post-implementation monitoring.

Multiple Choice Questions with Answers

Question 1

Which statement best describes the primary purpose of health technology assessment?

A. To select the device with the lowest purchase price

B. To evaluate a technology’s clinical, economic, organisational, ethical and other consequences

C. To replace clinical judgement with a financial ranking

D. To ensure that every hospital uses identical equipment

Correct Answer: B. To evaluate a technology’s clinical, economic, organisational, ethical and other consequences

Question 2

A service requires 6,000 procedures annually, each using equipment for 30 minutes. What is the required equipment time?

A. 500 hours

B. 1,000 hours

C. 3,000 hours

D. 6,000 hours

Correct Answer: B. 1,000 hours

Question 3

Which item is normally included in total cost of ownership?

A. Only the equipment purchase price

B. Only annual maintenance charges

C. Acquisition, operation, maintenance, consumables and disposal costs

D. Only the supplier’s advertised price

Correct Answer: C. Acquisition, operation, maintenance, consumables and disposal costs

Question 4

What is the main limitation of using observed historical activity as the sole measure of demand?

A. Historical activity is always higher than true demand

B. It may be suppressed by queues, unavailable staff or equipment downtime

C. It cannot be recorded in an asset register

D. It automatically includes future population growth

Correct Answer: B. It may be suppressed by queues, unavailable staff or equipment downtime

Question 5

In an evaluation matrix, what does a weight represent?

A. The mandatory legal status of a device

B. The relative importance assigned to an evaluation criterion

C. The physical mass of the equipment

D. The probability that equipment will fail

Correct Answer: B. The relative importance assigned to an evaluation criterion

Question 6

An incremental cost-effectiveness ratio compares:

A. Total cost with purchase price

B. Additional cost with additional effect

C. Maintenance cost with energy consumption only

D. Budget impact with supplier profit

Correct Answer: B. Additional cost with additional effect

Question 7

Which is the strongest reason to use technology-neutral specifications?

A. They eliminate the need for technical requirements

B. They promote competition by focusing on required function and performance

C. They guarantee the cheapest bid will win

D. They allow mandatory safety requirements to be omitted

Correct Answer: B. They promote competition by focusing on required function and performance

Question 8

Which activity is part of commissioning?

A. Advertising the equipment to patients

B. Verifying installation, safety, calibration, connectivity and user acceptance

C. Selecting a supplier without documented criteria

D. Replacing all existing clinical protocols automatically

Correct Answer: B. Verifying installation, safety, calibration, connectivity and user acceptance

Question 9

A device has an acquisition cost of 100, maintenance cost of 20, consumables cost of 30 and disposal cost of 5, with no residual value. What is its undiscounted TCO?

A. 105

B. 125

C. 150

D. 155

Correct Answer: D. 155

Question 10

Why may sustained equipment utilisation near 100% be undesirable?

A. It proves that the equipment is unnecessary

B. It eliminates the need for maintenance

C. It leaves little resilience for breakdowns, variation and urgent work

D. It guarantees shorter waiting times

Correct Answer: C. It leaves little resilience for breakdowns, variation and urgent work

Material & Equipment Management
Chapter 7 of 14