Course contents
Practitioner · Course 2: RFQ and Supplier Quotation Comparison · Lesson 4 of 5

Weighing price against lead time and quality history when they disagree

Level: PractitionerTime: 45 minutesOrder used: A (the T-shirt)Tool: Quotation comparison sheet
This lesson is for anyone who must recommend a supplier once the normalised prices point one way and lead time or quality history point another, including a sourcing agent working for more than one buyer. Lessons 2.1 to 2.3 are the prerequisites. Money figures are teaching examples in US dollars.
AgentMeridian Sourcing (agent in Egypt, 5% commission)
Two candidate factoriesDelta Garments and a second qualified factory
ProductBasic cotton T-shirt, one colour
Quantity15,000 pieces
Normalised pricesUSD 3.20 and USD 3.13 per piece
DocumentQuotation comparison with lead time and quality history added
02Opening

This page teaches how to choose between two suppliers when the cheapest normalised price and the most reliable lead time or quality history point to two different factories, for anyone who must make that recommendation

Lesson 2.3 showed how to normalise two quotations onto the same price basis. Once that is done, price is rarely the only fact that matters: a factory's own record for holding to its stated lead time, and its history of quality faults on past orders, both carry a real cost or saving that a price comparison alone does not show. Meridian Sourcing, an agent placing orders for more than one buyer, makes this trade-off often, since it does not always control which factory a buyer ultimately prefers on relationship grounds alone. This lesson mainly teaches the decision flow: choosing between two supported options once they do not agree.

03Before you start

What you need, and what this lesson does not cover

You need: the normalising method from lesson 2.3, and the lead-time vocabulary from T01-C01.

By the end of this lesson you can:

  • state why a cheaper supplier with a history of late delivery can cost more than a costlier, reliable one;
  • estimate the cost of a likely delay using a factory's own on-time delivery record;
  • estimate the cost of a likely quality fault rate using a factory's own past inspection results;
  • weigh a normalised price difference against these two costs before recommending a supplier.

Not covered here: building a complete comparison sheet from a blank page for a new order (lesson 2.5).

04Key terms

Words you will meet in this lesson

TermMeaning
On-time delivery rateThe share of a supplier's past orders that arrived by their agreed date, used as a record of lead-time reliability.
Quality fault rateThe share of a supplier's past shipments that failed inspection or were returned for a quality reason.
Cost of a delayThe estimated financial impact of goods arriving later than agreed, such as air-freighting part of an order or missing a retail date.
Cost of a quality faultThe estimated financial impact of reworking, discounting or rejecting goods that fail inspection.
Weighted comparisonA comparison that combines normalised price with the estimated cost of lead-time and quality risk, not price alone.
Trade-offA decision in which choosing the advantage of one option means accepting the disadvantage that comes with it.
05Teaching
The rule

A normalised price difference must be weighed against the estimated cost of a supplier's own lead-time and quality record before either supplier is chosen

A supplier's quoted price is only one part of what an order actually costs. A factory with a lower normalised price but a poor on-time delivery record can still cost the buyer more once the likely cost of a delay, air freight to recover the timeline, or a missed retail date, is estimated and added to its price. Likewise a factory with a history of quality faults can cost more once the likely cost of rework, discounting or rejected pieces is estimated. Weighing price against these two records means putting a number, even an estimated one, on each risk, rather than deciding on price alone or on reputation alone.

Factory Y's normalised price advantage over Delta Garments: 3.20 - 3.13 = 0.07 USD per piece saved, before lead-time and quality risk are counted
What you meet in real life

How lead time and quality history are recorded, and how much weight they carry, varies by how long a buyer has worked with a supplier and by product risk

What can differThe shapes you will meetWhy it matters to you
Whether a track record exists at allA regular supplier like Delta Garments has several past orders to check for on-time delivery and quality fault rate. A newly qualified factory, just through T13-C01's process, has no track record yet with this buyer.With no track record, the risk cannot be estimated from history; a buyer either accepts more uncertainty or asks for a smaller trial order first.
How lead-time risk is estimatedSome buyers use a simple on-time delivery percentage from past orders. Others weight recent orders more heavily than older ones, since a factory's performance can change over time.A single old late delivery should not be weighted the same as a recent pattern of lateness; how the record is read affects how much risk is estimated.
How quality risk is estimatedA quality fault rate may come from the buyer's own final inspection reports, or from a third-party inspection agency's records if one was used.A fault rate based on the buyer's own inspections may differ from an independent agency's; knowing the source matters when comparing two suppliers' records.
Who is making the recommendationA buyer's own merchandiser weighs this trade-off for one buyer's own priorities. An agent like Meridian Sourcing, working for more than one buyer, must weigh the same trade-off while representing the buyer's interest, not its own commission.An agent's recommendation should still be driven by the buyer's own risk tolerance and cost exposure, not by which factory is easier for the agent to place orders with.
The case we follow

Meridian Sourcing weighs Delta Garments' reliable record against Factory Y's lower normalised price for a buyer's Order A repeat

Meridian Sourcing represents a buyer considering both Delta Garments, its regular supplier, and Factory Y, the newly qualified factory from lesson 2.2, for a repeat of Order A.

FactorDelta GarmentsFactory Y
Normalised price3.203.13
On-time delivery rate, last 6 orders100% (6 of 6 on time)67% (4 of 6 on time, from its record with another buyer)
Quality fault rate, last 6 orders1 fault in 6 (minor, reworked)2 faults in 6 (one required a partial discount)
The worked number

Estimating the cost of Factory Y's likely delay narrows, and can erase, its 0.07 price advantage

Factory Y's estimated chance of a late delivery, from its own record: 33% (2 late orders out of 6)
Estimated cost of a late delivery if it occurs, air freight on one quarter of the order to recover the timeline: 3,750 pieces x 1.80 = 6,750 USD
Estimated cost of the delay risk, spread across the whole order: (0.33 x 6,750) / 15,000 = 0.15 USD per piece
Factory Y's price advantage of 0.07, against an estimated delay-risk cost of 0.15: 0.07 - 0.15 = -0.08 USD per piece, a net disadvantage once lead-time risk is counted
Price advantage versus estimated delay-risk costSaved 0.07Estimated delay-risk cost 0.15
A price advantage smaller than the estimated risk it carries is not a real advantage. Factory Y's 0.07 saving is outweighed by its own 0.15 estimated delay-risk cost.
The method

Weigh a normalised price difference against lead-time and quality risk in four steps

  1. Calculate the normalised price difference between the two suppliers, from lesson 2.3.
  2. Estimate each supplier's on-time delivery rate and quality fault rate from its own past record, where one exists.
  3. Estimate the cost of a likely delay or fault occurring, and spread that estimated cost across the whole order.
  4. Compare the normalised price advantage against the estimated risk cost, and recommend the supplier whose total, price plus risk, is genuinely lower.
The trap

A common mistake is choosing the cheaper normalised price and treating a supplier's past lateness or fault rate as a separate, softer factor to mention afterward

An agent or merchandiser under pressure to show a saving often leads with the normalised price advantage and mentions lead-time or quality history only as a caveat, without turning that history into an estimated cost that can be weighed against the saving directly. A 0.07 saving that carries a 0.15 estimated risk is not a smaller version of a good decision; once estimated, it is the worse decision. Treating risk history as a footnote rather than a number understates exactly the fact that should have changed the recommendation, and the buyer only discovers the real cost once a delay or a fault has already happened on a live order.

Price advantage reported alonePrice weighed against riskFactory Y saves 0.07 perpiece; lead-time recordmentioned only as a caveat.Estimated risk cost 0.15outweighs the 0.07 saving;net result is a disadvantage.
A price advantage reported without its risk is an incomplete number. Turning a supplier's history into an estimated cost is what makes the comparison decision-ready.
06In plain words

The cheapest price after normalising is not always the best choice. If a supplier is often late, or often produces faulty goods, that history has a real cost too, even if no invoice ever says so directly. Estimating that cost, from the supplier's own past record of actual orders, and comparing it fairly against how much cheaper that supplier's price actually is, tells you whether the saving is genuinely worth taking or is really, once counted properly, a hidden loss.

07Quick check
  • A normalised price advantage must be weighed against a supplier's own on-time delivery and quality fault history.
  • With no track record, risk cannot be estimated from history; a smaller trial order can reduce exposure.
  • Weight a recent pattern more heavily than a single old incident when reading a supplier's record.
  • Estimate the cost of a likely delay or fault, then spread that estimated cost across the whole order to compare it fairly against a per-piece price saving.
  • A price advantage smaller than its own estimated risk cost is a net disadvantage, not a smaller saving.
  • An agent's recommendation should reflect the buyer's own risk tolerance, not which factory is easiest for the agent to place orders with.
08Workplace scenario

Meridian Sourcing is asked to recommend Factory Y because its normalised price is 0.07 lower than Delta Garments

The buyer Meridian Sourcing represents asks for a quick recommendation based on the normalised prices alone, since Factory Y's 3.13 is lower than Delta Garments' 3.20.

Here is the comparison the buyer is looking at:

Normalised comparison, Order A repeat. Delta Garments: 3.20, on-time delivery 100% (6 of 6). Factory Y: 3.13, on-time delivery 67% (4 of 6). Stated price advantage: 0.07 per piece in Factory Y's favour.

Should Meridian Sourcing recommend Factory Y on the normalised price alone? Decide before opening the answer.

Show decision

No, not on price alone. Two facts decide this.

First, Factory Y's own record shows a 33% chance of a late delivery, based on 2 late orders out of its last 6. Estimating the cost of recovering a delay with air freight on a quarter of the order, and spreading that estimated cost across the whole order, gives an estimated delay-risk cost of about 0.15 per piece.

Second, 0.15 is larger than Factory Y's 0.07 price advantage. Once the estimated risk is weighed against the saving, Factory Y's real position is a net disadvantage of about 0.08 per piece, not a saving.

Meridian Sourcing should recommend Delta Garments for this repeat order, and explain the estimated delay-risk cost, not just the printed price, as the reason.

09What it costs

Recommending on price alone, when a supplier's own record carries a real, estimable risk, can turn an apparent saving into a real loss

Framed with the figures already worked out, choosing Factory Y on its 0.07 price advantage alone risks the estimated 0.15 per piece cost of a delay actually occurring on about a third of future orders placed with it, based on its own history. Across the full 15,000-piece order, this is not a marginal difference.

Estimated net disadvantage across the whole order if Factory Y is chosen: 0.08 x 15,000 = 1,200 USD worse than choosing Delta Garments, once lead-time risk is counted
10Working template

Quotation comparison sheet: use the "Weigh risk" tab to turn on-time delivery and quality fault history into an estimated cost per piece

Open the Quotation comparison sheet workbook linked below. Its "Weigh risk" tab lists the four steps this lesson teaches, with Delta Garments' and Factory Y's own records filled in as the worked example. Fill in the yellow "Your suppliers" columns with your own two suppliers' on-time delivery and quality fault records before recommending either one.

[Download the Quotation comparison sheet](../../templates/T13-C02-quotation-comparison-sheet.xlsx)

Download the Quotation comparison sheet (Excel)

11Check yourself

1. Factory Y's normalised price is 0.07 lower than Delta Garments', but its estimated delay-risk cost is 0.15 per piece. What is the net result of choosing Factory Y?

2. A newly qualified factory has no track record yet with this buyer. How should its lead-time and quality risk be weighed against a regular supplier's proven record?

12Glossary
ENARFRTRMeaning
On-time delivery rateمعدل التسليم في الموعدTaux de livraison à tempsZamanında teslimat oranıThe share of a supplier's past orders that arrived by their agreed date, used as a record of lead-time reliability.
Quality fault rateمعدل عيوب الجودةTaux de défauts qualitéKalite hata oranıThe share of a supplier's past shipments that failed inspection or were returned for a quality reason.
Cost of a delayتكلفة التأخيرCoût d'un retardGecikme maliyetiThe estimated financial impact of goods arriving later than agreed, such as air-freighting part of an order or missing a retail date.
Cost of a quality faultتكلفة عيب الجودةCoût d'un défaut de qualitéKalite hatasının maliyetiThe estimated financial impact of reworking, discounting or rejecting goods that fail inspection.
Weighted comparisonمقارنة موزونةComparaison pondéréeAğırlıklı karşılaştırmaA comparison that combines normalised price with the estimated cost of lead-time and quality risk, not price alone.
Trade-offمقايضةCompromisÖdünleşimA decision in which choosing the advantage of one option means accepting the disadvantage that comes with it.
13Next

Lesson 2.5: Building a complete quotation comparison sheet for a new order

You now know how to weigh a normalised price against lead time and quality history. The final lesson of this course puts every step from lessons 2.1 to 2.4 into one working comparison sheet for a new order from a blank page. Back to the course map

14Ladder

RecognizeName the two supplier records that must be estimated as a cost, not just noted as background.
ConnectSee why an estimated risk cost can be larger than a price saving.
CompareTell a price advantage from a real, net advantage once risk is weighed in.
DecideRecommend a supplier based on price plus estimated risk, not price alone.