Procurement & Sourcing Management

Chapter 9
Bid Evaluation, Cost Analysis and Award Decisions

Advance Diploma in Purchase Management
Procurement & Sourcing Management   •   Advance Diploma

Bid Evaluation, Cost Analysis and Award Decisions

Introduction and context

Procurement decisions are often presented as if they were simple price comparisons. In practice, the lowest quoted price may not represent the lowest economic cost, the best technical solution, or an acceptable level of supply risk. Bid evaluation therefore converts diverse supplier proposals into a disciplined decision that is fair, evidence-based, auditable and aligned with the procurement strategy.

A sound evaluation process connects four activities: establishing requirements, assessing supplier capability, analysing cost, and documenting the award recommendation. It must distinguish mandatory compliance from scored preference. It must also protect competition by applying the same disclosed criteria to every bidder and by preventing evaluators from introducing undisclosed considerations after bids are opened.

This chapter develops practical methods for weighted evaluation, price and total-cost analysis, should-cost estimation, sensitivity analysis and award governance. The methods are applicable to goods, services, construction inputs, technology and outsourced operations, although the relative importance of criteria will differ by category.

Learning objectives

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

  1. distinguish pass/fail requirements from weighted evaluation criteria;
  2. construct and apply a defensible weighted scoring model;
  3. compare bids using evaluated price, total cost of ownership and lifecycle cost;
  4. prepare a basic should-cost estimate and identify cost drivers;
  5. perform sensitivity analysis on uncertain assumptions;
  6. identify evaluation bias, conflicts of interest and governance risks; and
  7. prepare a transparent award recommendation supported by evidence.

1. The architecture of bid evaluation

1.1 From specification to decision

A procurement evaluation should follow a logical chain:

Need → specification → qualification → technical evaluation → commercial evaluation → risk adjustment → recommendation → approval → contract award.

The sequence matters. A bidder that fails a mandatory legal, safety or technical requirement should normally not receive compensating points elsewhere. Similarly, commercial comparison should be made only after confirming that offers are sufficiently comparable.

Evaluation criteria should be:

  • relevant to the contract outcome;
  • measurable or assessable using defined evidence;
  • proportionate to the procurement risk;
  • disclosed in the solicitation where required;
  • independent enough to avoid double counting; and
  • capable of being applied consistently.

1.2 Mandatory and weighted criteria

Mandatory criteria are threshold conditions. Examples include a valid licence, minimum insurance, required certification, acceptance of contractual terms, delivery within a non-negotiable deadline, or compliance with a safety standard. The result is commonly recorded as pass, fail, or clarification required.

Weighted criteria rank compliant offers. Typical criteria include technical performance, quality assurance, delivery, service support, sustainability, cybersecurity and price. A criterion should not be scored merely because it is easy to score; it should be scored because it affects value or risk.

A useful evaluation plan records, before bid opening:

ElementRequired decision
CriterionWhat is being assessed?
WeightHow important is it relative to other criteria?
EvidenceWhich documents or demonstrations support the score?
ScaleWhat does each score mean?
EvaluatorsWho assesses it and who approves it?
ModerationHow are inconsistent scores resolved?
Audit trailHow is the reasoning retained?

1.3 Evaluation committees and separation of duties

Evaluators should declare conflicts of interest before receiving bids. Technical evaluators should normally assess technical content without being influenced by quoted price, while commercial evaluators should verify arithmetic, assumptions and commercial terms. A chair or procurement lead coordinates the process but should not override documented expert judgment without recording a reason.

Individual scores should be supported by comments and evidence. Moderation is not an opportunity to negotiate scores until a preferred bidder emerges; it is a controlled process for resolving factual misunderstandings, inconsistent interpretation of the scale and genuine differences in professional judgment.

2. Weighted evaluation models

2.1 Basic weighted scoring

Suppose each bid receives a score from 0 to 100 for criterion i, and criterion i has weight wᵢ expressed as a percentage. If the weights sum to 100%, the weighted total for bidder j is:

Tⱼ = ∑ᵢ₌₁ⁿ wᵢ sᵢⱼ

Here, Tⱼ is bidder j’s total score in points, wᵢ is the decimal weight of criterion i, sᵢⱼ is bidder j’s score for criterion i, and n is the number of criteria. The score is dimensionless. The method assumes that scores are placed on a meaningful common scale and that the weights represent the decision maker’s relative preferences.

For example, if technical quality has a weight of 40% and a supplier scores 82, its contribution is 0.40 × 82 = 32.8 points. If price has a weight of 30% and the price score is 90, its contribution is 27 points.

Weights must be written as decimals in the formula or as percentages with an appropriate division by 100. A common error is to multiply 40 × 82 without rescaling, producing an incorrect result.

2.2 Price scoring

A common price-score model rewards the lowest evaluated price:

Pⱼ = 100 × (Pₘᵢₙ ÷ Pⱼ)

Pⱼ is bidder j’s price score, Pₘᵢₙ is the lowest compliant evaluated price, and Pⱼ is bidder j’s evaluated price. Both prices must be expressed on the same basis, currency, tax treatment, quantity and delivery point. The formula is appropriate when proportional price differences are intended to determine proportional scores. It can give very low scores to higher-priced bids when one outlier is unusually cheap; the procurement rules may therefore prescribe another model.

An alternative linear model is:

Pⱼ = 100 × [(Pₘₐₓ − Pⱼ) ÷ (Pₘₐₓ − Pₘᵢₙ)]

This model gives the highest price a score of zero and the lowest price a score of 100. It is undefined when all prices are equal because the denominator becomes zero; in that case all bidders should normally receive the same price score.

2.3 Normalising non-price scores

Technical scores may originate from different scales. A five-point rating can be converted to a 100-point scale by:

s = 100 × (r ÷ rₘₐₓ)

where r is the observed rating and rₘₐₓ is the maximum possible rating. This simple conversion assumes the rating scale is proportional. If the scale is ordinal rather than interval-based, numerical conversion may imply a precision that the assessors cannot justify. In that situation, a carefully defined qualitative scale is preferable.

Worked example: weighted evaluation

Three compliant suppliers are assessed using technical quality (45%), delivery and implementation (20%), service support (15%) and price (20%). Scores are:

SupplierTechnicalDeliverySupportPrice
A88807592
B829590100
C94728284

Supplier A’s total is:

Tₐ = 0.45(88) + 0.20(80) + 0.15(75) + 0.20(92) = 39.60 + 16.00 + 11.25 + 18.40 = 85.25

Supplier B’s total is 36.90 + 19.00 + 13.50 + 20.00 = 89.40. Supplier C’s total is 42.30 + 14.40 + 12.30 + 16.80 = 85.80. On this model, B ranks first, despite not having the highest technical score, because its strong delivery, support and price scores compensate within the disclosed weighting system.

The result does not mean B is automatically acceptable. The committee must still verify references, financial capacity, risk controls and any approval thresholds.

2.4 Value-for-money models

A weighted score treats points as a representation of value. Another approach combines cost and quality through a ratio, such as:

Vⱼ = Qⱼ ÷ Cⱼ

where Qⱼ is a quality or benefit index and Cⱼ is evaluated cost. This can be useful for standardised alternatives, but it is sensitive to the construction of Q and C. It should not be used where quality dimensions are not reliably measurable or where a minimum quality threshold is essential. A low-cost, low-quality offer must not win merely because the ratio is mathematically attractive.

3. Price, evaluated price and total cost

3.1 Quoted price is not always comparable price

Commercial evaluation should transform each offer into a common comparison basis. Adjustments may include freight, customs duties, installation, training, required accessories, warranty exclusions, payment terms, currency conversion, escalation clauses and legally applicable taxes. The evaluator should not invent adjustments that were not authorised by the solicitation or supported by evidence.

A simplified evaluated acquisition cost can be written as:

EAC = B + F + D + I + Tr − Disc + A

B is the bid price, F freight, D duties and non-recoverable taxes, I installation, Tr training, Disc discounts, and A other allowable acquisition adjustments. Every term must use the same currency and time basis. Recoverable tax should not be included where the buyer can reclaim it.

3.2 Total cost of ownership

Total cost of ownership (TCO) captures costs incurred over the ownership period, not merely the purchase invoice. A basic undiscounted model is:

TCO = C₀ + ∑ₜ₌₁ᵀ (Oₜ + Mₜ + Dₜ + Rₜ) − S

C₀ is initial acquisition and implementation cost; Oₜ operating cost in period t; Mₜ maintenance cost; Dₜ disposal or decommissioning cost; Rₜ other relevant recurring costs; S residual or resale value; and T the number of periods. All amounts must be expressed in the same currency and, in an undiscounted model, the same price basis.

TCO is especially important for equipment, vehicles, information systems, energy-consuming assets and outsourced services. It may include energy, consumables, labour, licences, downtime, spare parts, data migration, training, compliance and disposal.

3.3 Lifecycle cost and present value

Lifecycle costing extends TCO by considering the entire economic life and the timing of cash flows. When money has a time value, the present value of a future cash flow is:

PVₜ = Cₜ ÷ (1 + r)ᵗ

Cₜ is the cash flow at the end of period t, r is the discount rate per period, and t is the number of periods. The rate and period must match: an annual rate should be used with annual cash flows. If costs occur at the beginning of a period, the exponent and timing must be adjusted.

Lifecycle present cost is:

LCC = C₀ + ∑ₜ₌₁ᵀ [Cₜ ÷ (1 + r)ᵗ] − [S ÷ (1 + r)ᵀ]

This assumes deterministic cash flows, a known discount rate and a consistent treatment of inflation. Organisations may use a nominal discount rate with nominal cash flows or a real discount rate with real cash flows; mixing the two produces distortion.

Worked lifecycle example

Two machines have the following estimated costs over three years. Machine X costs 50,000 initially and 12,000 at the end of each year. Machine Y costs 62,000 initially and 7,000 at the end of each year. Assume a 10% annual discount rate and no residual value.

For X:

PV of operating costs = 12,000/1.10 + 12,000/1.10² + 12,000/1.10³ ≈ 10,909 + 9,917 + 9,015 = 29,841.

LCCₓ ≈ 50,000 + 29,841 = 79,841.

For Y:

PV of operating costs = 7,000/1.10 + 7,000/1.10² + 7,000/1.10³ ≈ 6,364 + 5,785 + 5,259 = 17,408.

LCCᵧ ≈ 62,000 + 17,408 = 79,408.

Although Y has a higher purchase price, its estimated lifecycle present cost is approximately 433 lower. The difference is small relative to possible estimation error, so sensitivity analysis is necessary before treating Y as decisively superior.

4. Should-cost analysis

A should-cost estimate is an independent estimate of what a product or service ought to cost under reasonable assumptions and efficient performance. It is not a target imposed without evidence, nor is it necessarily the supplier’s actual cost. Its purpose is to understand cost structure, test bid reasonableness, support negotiation and identify unusual assumptions.

4.1 Cost-build-up model

A general cost build-up is:

SC = DM + DL + OH + P + L + R + M

DM is direct material, DL direct labour, OH allocated overhead, P process or manufacturing cost, L logistics, R reasonable profit or return, and M other relevant costs such as tooling, warranty or compliance. The categories must be defined to avoid double counting.

For a service, the estimate may be:

SC = (h × rₕ) + T + S + O + G + Rₚ

h is required labour hours, rₕ the loaded hourly rate, T travel, S subcontracting, O operating expenses, G technology or platform costs, and Rₚ reasonable profit. Assumptions about productivity, utilisation, overtime and service levels should be documented.

4.2 Cost-driver analysis

A cost-driver tree links the estimate to operational facts. For a fabricated component, drivers may include material weight, yield loss, machining hours, setup time, energy, labour rate, inspection and packaging. For a software service, drivers may include users, transactions, storage, support hours, implementation effort and security controls.

The analyst should distinguish:

  • fixed costs, which do not change materially with short-run volume;
  • variable costs, which vary with output or usage;
  • semi-variable costs, containing both fixed and variable elements; and
  • one-time costs, such as tooling or implementation.

A should-cost model is credible only when its quantities, rates and productivity assumptions are traceable to drawings, historical data, market indices, engineering estimates, supplier intelligence or other reliable evidence. Confidential supplier information must be handled lawfully and ethically.

4.3 Interpreting the variance

A bid above the should-cost estimate is not automatically unreasonable. It may reflect capacity constraints, a risk premium, superior performance, warranty coverage, financing, scarcity or a different scope interpretation. Conversely, a bid far below should-cost may indicate an error, unsustainable assumptions, a deliberate underbid, substitution of inferior materials or likely claims after award.

The appropriate response is clarification within the procurement rules, not an unsupported accusation. Cost analysis should inform judgment rather than replace it.

5. Sensitivity and uncertainty analysis

Procurement models contain uncertain assumptions: demand, exchange rates, fuel costs, maintenance frequency, failure rates, implementation effort and residual value. Sensitivity analysis changes one assumption at a time, or several assumptions in defined scenarios, to show whether the award ranking is robust.

For a cost C that depends on input x, a simple local sensitivity is the change in output divided by the change in input:

Sₓ = ∆C ÷ ∆x

Sₓ gives the change in cost per unit change in x. It is meaningful only over the tested range and does not establish causation beyond the model.

A percentage elasticity is:

Eₓ = (∆C ÷ C) ÷ (∆x ÷ x)

It indicates the approximate percentage change in cost resulting from a 1% change in x. The approximation is most useful for small changes and smooth relationships.

Scenario example

Suppose supplier X has a lifecycle cost of 79,841 based on annual operating cost of 12,000. If energy prices increase operating cost by 25%, the annual cost becomes 15,000. The additional present value is:

∆PV = 3,000(1/1.10 + 1/1.10² + 1/1.10³) ≈ 7,460

The revised lifecycle cost is approximately 87,301. If supplier Y’s operating costs are less energy-sensitive, the ranking may reverse. The recommendation should therefore identify the assumptions that could change the decision and, where material, propose contractual protections such as price adjustment rules, performance guarantees or review points.

Scenario analysis may use:

  • a base case based on the most likely assumptions;
  • an optimistic case with favourable demand or performance; and
  • a pessimistic case involving delay, inflation, failure or low utilisation.

More advanced organisations may use probability distributions and Monte Carlo simulation, but the output is only as credible as the input distributions and correlations. False precision is a governance risk.

6. Award recommendation and decision governance

An award recommendation should allow an independent reviewer to understand what was evaluated, how it was evaluated and why the proposed outcome follows from the evidence. A professional report normally contains:

  1. procurement purpose, scope and approved budget;
  2. solicitation method and timetable;
  3. bidders invited and bids received;
  4. mandatory compliance results;
  5. evaluation criteria, weights and scoring scale;
  6. evaluator comments and moderated scores;
  7. evaluated price and cost assumptions;
  8. risk, sensitivity and affordability analysis;
  9. clarification history and material deviations;
  10. conflicts-of-interest declarations;
  11. ranking and value-for-money rationale;
  12. contractual, legal and approval conditions; and
  13. recommended award, alternatives and next actions.

The report should preserve the distinction between fact, assumption, judgment and recommendation. For example, “delivery is 14 weeks” is a bid fact; “the schedule has low delay risk” is an assessment; “a two-week liquidated-damages provision is required” is a recommendation.

Governance and ethical safeguards

Key safeguards include confidentiality of bids, controlled access to evaluation documents, version control, secure records, consistent clarification procedures and prohibition of undisclosed post-bid criteria. Evaluators must not favour incumbent suppliers, accept gifts, reveal competitors’ prices or manipulate weights after seeing the results.

A supplier that submits an abnormally low bid may create performance, labour, quality or continuity risks. The buyer should examine the bid using a documented process and give the bidder an opportunity to explain, while complying with applicable procurement law. Sustainability claims should be evidence-based and proportionate; vague claims should not receive unsupported points.

AI and analytics can assist with arithmetic checks, document comparison, anomaly detection and scenario modelling. They should not independently decide an award. Procurement professionals remain responsible for validating data, explaining model logic, protecting confidential information and checking for algorithmic bias. An AI-generated score without an auditable evidence trail is not a defensible evaluation.

7. Applied case: municipal fleet charging equipment

The following is an illustrative case, created for educational purposes.

Background

A municipality seeks ten electric-vehicle charging units and a five-year maintenance service. Three compliant suppliers submit bids. The municipality’s published criteria are technical performance 35%, installation and delivery 20%, service and cybersecurity 15%, sustainability 10% and evaluated lifecycle cost 20%.

Problem

Supplier A offers the lowest initial price but has higher estimated electricity losses and replacement-part costs. Supplier B is more expensive initially but provides a longer warranty. Supplier C has excellent technical performance but a twelve-week longer implementation schedule.

Analysis

The evaluation team first confirms mandatory requirements: safety certification, network security controls, warranty acceptance and delivery before the municipality’s operational deadline. C passes only after demonstrating that phased installation will meet the deadline; the evidence is recorded.

The team then calculates five-year lifecycle cost, including acquisition, installation, energy losses, software licences, preventive maintenance, expected repairs and disposal. It uses a common electricity-price assumption and discounts future costs at the approved rate. A sensitivity test increases electricity prices by 20% and separately increases repair costs by 30%.

The base-case results are:

SupplierWeighted scoreFive-year lifecycle costPessimistic scenario rank
A84.61,180,0003
B87.91,145,0001
C86.81,160,0002

Approach and solution

B is recommended because it has the highest disclosed weighted score, the lowest base-case lifecycle cost and the strongest resilience under the tested scenarios. The recommendation is conditional on final confirmation of cybersecurity documentation and a contract containing uptime service levels, warranty obligations, spare-parts availability and transparent price-adjustment rules.

The committee does not claim that B is risk-free. It records that A’s low acquisition cost is offset by operating exposure and that C’s technical advantage does not overcome schedule and service risks under the published weights.

Outcome and learning points

The award file is approved because the recommendation can be reconstructed from the solicitation, evidence, calculations and moderation record. The central learning is that a defensible decision is not simply the selection of the lowest price or the highest technical score. It is the selection that best satisfies the disclosed requirements after relevant cost, risk and uncertainty are assessed consistently.

8. Limitations and best practices

Weighted models can create an illusion of objectivity. A score of 82 is not necessarily twice as good as a score of 41, and adding scores assumes that trade-offs are acceptable. Thresholds should therefore be used for critical requirements, while weights should be reserved for meaningful comparative differences.

Cost models are also vulnerable to inaccurate quantities, omitted costs, double counting, optimistic supplier assumptions and changing market conditions. Good practice is to maintain an assumptions register, conduct independent arithmetic checks, use ranges where justified, challenge major cost drivers and record the basis of every material adjustment.

Best practice can be summarised as follows:

  • design the criteria before bids are opened;
  • define the evaluation scale with behavioural anchors;
  • separate compliance, quality, cost and risk judgments;
  • use comparable commercial bases;
  • test lifecycle assumptions and ranking stability;
  • document evidence, not just scores;
  • manage conflicts and confidentiality;
  • use clarification consistently and lawfully;
  • obtain the required approvals; and
  • preserve records for audit, debriefing and contract management.

Chapter Summary

Bid evaluation is a structured conversion of requirements and supplier evidence into an award decision. Mandatory criteria establish minimum acceptability, while weighted criteria rank compliant bids. Weighted scoring requires explicit weights, consistent scales and documented evidence. Price evaluation must place offers on a comparable basis, while total cost of ownership and lifecycle costing include future operating, maintenance, support and disposal costs. Present-value analysis accounts for the timing of cash flows and requires consistent discount-rate and price assumptions.

Should-cost analysis builds an independent estimate from cost drivers and supports bid validation and negotiation, but it is not proof of a supplier’s actual cost. Sensitivity and scenario analysis reveal whether a recommendation depends on uncertain assumptions. Finally, a defensible award recommendation requires transparent calculations, conflict-of-interest controls, ethical conduct, secure records and clear separation between facts, assumptions, judgments and recommendations.

Key Terms

Mandatory criterion: A threshold requirement that a bid must satisfy to remain eligible.

Weighted criterion: A comparative evaluation factor assigned a disclosed relative importance.

Evaluated price: A bid price adjusted to a common and authorised comparison basis.

Weighted score: The sum of criterion scores multiplied by their respective weights.

Total cost of ownership: All relevant acquisition, operating, maintenance and disposal costs over ownership.

Lifecycle cost: The cost of an asset or service over its economic life, often expressed in present-value terms.

Discount rate: The rate used to convert future cash flows into present values.

Present value: The value today of a future cash flow after discounting.

Should-cost estimate: An independent estimate of reasonable cost based on cost drivers and assumptions.

Cost driver: A measurable factor that causes or explains a cost.

Sensitivity analysis: Testing the effect of changing one assumption on an output.

Scenario analysis: Testing outcomes under defined combinations of assumptions.

Moderation: A controlled process for reconciling evaluator scores and interpretations.

Value for money: The relationship between cost, quality, risk, performance and outcomes.

Abnormally low bid: An offer whose price or conditions appear inconsistent with viable performance and require examination.

Conflict of interest: A personal or organisational interest that could improperly influence evaluation.

Clarification: A controlled request for explanation that does not improperly permit bid alteration.

Residual value: The expected value recovered at the end of an asset’s evaluation period.

Evaluation audit trail: The retained evidence showing how a procurement decision was reached.

Review Questions

Short Answer Questions

  1. Why should mandatory criteria normally be assessed before weighted criteria?
  2. What is the difference between quoted price and evaluated price?
  3. Define total cost of ownership.
  4. What is the purpose of a should-cost estimate?
  5. Why is sensitivity analysis important in lifecycle costing?

Long Answer Questions

  1. Explain how to design a defensible weighted evaluation model, including criteria, weights, scales and moderation.
  2. Compare price analysis, total cost of ownership and lifecycle present-value analysis.
  3. Discuss the assumptions and limitations of should-cost modelling.
  4. Explain the governance and ethical controls required during bid evaluation.
  5. Describe the contents of a professional award recommendation report.

Analytical / Application Questions

  1. Construct a weighted evaluation model for a facilities-management contract and justify the selected criteria and weights.
  2. Two suppliers have different acquisition, operating and maintenance costs. Develop a lifecycle-cost comparison and identify which assumptions require sensitivity testing.
  3. A bid is 25% below the should-cost estimate but has incomplete warranty information. Design a lawful and objective process for investigating the bid before making an award recommendation.

Multiple Choice Questions with Answers

Question 1

Which statement best describes a mandatory criterion?

A. It is a threshold requirement that must be satisfied.

B. It is always assigned the highest numerical weight.

C. It is used only to compare prices.

D. It may be ignored if a bidder has a strong technical score.

Correct Answer: A. It is a threshold requirement that must be satisfied.

Question 2

Using Pⱼ = 100 × (Pₘᵢₙ ÷ Pⱼ), what price score does a bidder receive when the lowest evaluated price is 80,000 and its price is 100,000?

A. 20

B. 50

C. 80

D. 125

Correct Answer: C. 80

Question 3

A criterion has a weight of 30% and a bidder scores 90 out of 100. What is its contribution to the weighted total?

A. 27 points

B. 30 points

C. 60 points

D. 90 points

Correct Answer: A. 27 points

Question 4

Which cost is most clearly part of total cost of ownership?

A. Only the supplier’s quoted invoice price

B. Operating energy and scheduled maintenance over the ownership period

C. Only the buyer’s procurement staff salaries

D. The price of an unrelated future project

Correct Answer: B. Operating energy and scheduled maintenance over the ownership period

Question 5

What is the main purpose of a should-cost estimate?

A. To guarantee the supplier’s profit margin

B. To replace all supplier quotations

C. To independently assess reasonable cost and its drivers

D. To award automatically to the lowest bidder

Correct Answer: C. To independently assess reasonable cost and its drivers

Question 6

In present-value analysis, a future cash flow is generally divided by which expression?

A. (1 + r)t

B. (1 − r)t

C. r ÷ t

D. t ÷ r

Correct Answer: A. (1 + r)t

Question 7

What does sensitivity analysis examine?

A. Whether evaluators signed attendance sheets

B. How changes in assumptions affect an outcome

C. Whether every bid has identical wording

D. Whether a contract has already expired

Correct Answer: B. How changes in assumptions affect an outcome

Question 8

Which practice creates the strongest evaluation audit trail?

A. Recording only the final supplier ranking

B. Changing weights after seeing the bids

C. Recording evidence, scores, assumptions and reasons for judgments

D. Allowing each evaluator to use an undisclosed scale

Correct Answer: C. Recording evidence, scores, assumptions and reasons for judgments

Question 9

Why might a bid substantially below should-cost require clarification?

A. It may reflect an error, omitted scope or unsustainable assumption.

B. Low prices are automatically prohibited.

C. The buyer must always reject the lowest bid.

D. Should-cost estimates are legally binding supplier prices.

Correct Answer: A. It may reflect an error, omitted scope or unsustainable assumption.

Question 10

If all evaluated prices are equal, what problem occurs in the linear price-score formula using Pₘₐₓ − Pₘᵢₙ?

A. The score becomes negative.

B. The denominator is zero.

C. The score becomes exactly 200.

D. The formula automatically selects the newest supplier.

Correct Answer: B. The denominator is zero.

Procurement & Sourcing Management
Chapter 9 of 15