Manufacturing Quoting: Price the Job You Can Deliver

Home » Resources » Manufacturing Quoting: Price the Job You Can Deliver

Estimated reading time: 11 minutes

A job can look profitable at the quoted unit price and still be the wrong order to accept. The estimate may assume one setup when the customer needs two releases. It may omit a finishing operation, or promise a date that requires overtime nobody has priced.

Good manufacturing quoting brings those decisions together. You define the work, estimate what it will consume, choose a price and check that production can support the promise. The customer gets a clear offer; your shop gets work it understands how to deliver at that price.

SkyPlanner APS strengthens the production side of that decision. You can assess prospective work alongside existing commitments, instead of asking the planner to reconstruct machine queues every time sales needs a date. Production time reports then help improve the assumptions behind the next quote.

What is manufacturing quoting?

Manufacturing quoting is the process of turning a customer’s request for quotation, or RFQ, into an offer to supply specified products at a stated price, quantity, timing and set of terms. It combines technical feasibility, cost estimating and a commercial decision about whether the work is worth taking.

The estimate is an input to the quote, not the whole offer. It describes expected costs and time. The quote tells the customer what you are offering and under which assumptions.

An early budget estimate serves a different purpose. If the specification is incomplete, a qualified price range can establish whether the opportunity is worth developing. Label it clearly, state what remains unresolved and avoid presenting an uncertain range as a fully reviewed offer.

Start with the RFQ details that can change your answer

Before spending hours on detailed estimating, check whether you have enough information to define the job. A CAD model alone may not tell you the required finish, inspection records or acceptable substitutions.

For a machine shop or contract manufacturer, resolve:

• Product and revision: part number, current drawing and model, and which specification takes precedence if they disagree.
• Material and quality: grade, tolerances, finish, certificates, inspection and any first-article requirements.
• Quantity and releases: acceptable finished pieces, batch sizes, delivery splits and whether repeat quantities are committed or only possible.
• Timing and scope: required receipt or dispatch date, outside processing, packing, freight and customer-supplied items.

Ask about the application when it helps resolve a manufacturing question. A tight tolerance on a functional fit needs a different discussion from a tight tolerance copied onto every dimension by default. Suggest a change where appropriate, but obtain approval rather than pricing an unapproved interpretation.

Also qualify the opportunity. Can your shop perform the critical operations? Is the customer’s expected price range remotely compatible with the likely work? A prompt clarification or alternative is more useful than a detailed quote for a job you cannot responsibly supply.

Estimate the manufacturing route, not just a similar part

A previous job is a useful starting point when its assumptions still match. Check what differs before copying its unit price: material, geometry, quantity, setups, inspection, outside services and current purchase prices.

Build the likely route from incoming stock to an acceptable finished part. Include programming and preparation, setups, production operations, deburring or finishing, inspection and any subcontracted stages. Confirm which resources can do the work and which operations depend on others.

Then separate costs that belong to the batch from costs that repeat with each piece.

Programming, workholding preparation and setup may be largely one-time costs for the quoted run. Their cost per part changes with the quantity. A repeat order does not automatically eliminate them: a different machine, revised drawing or broken-up release can bring preparation work back.

Material and recurring processing follow the quantity and method. Allow for stock size, cutting loss, realistic yield and minimum purchase quantities. Define whether the time estimate means machine occupancy or direct person-hours; an unattended cycle is not necessarily an equal amount of operator labor.

Outside processing and job-specific requirements can include heat treatment, coating, special tooling, testing, certificates and packing. Check minimum charges as well as per-piece prices. A supplier’s price and lead time should refer to the same batch and requirements you are offering.

Use cost rates approved for the estimate. If a loaded shop rate already includes direct labor and manufacturing overhead, do not add those costs again. If labor and machine costs are separate, apply each rate to the corresponding hours. Keep the rate basis and date with the estimate so another estimator can understand the calculation.

Manufacturing quote example: from batch cost to selling price

Imagine a shop quoting 100 acceptable machined parts in one production run. The route needs one setup, 12 minutes of recurring processing per part and an outside finishing service. These illustrative figures are in US dollars, not benchmark shop rates.

The shop uses an $80 hourly cost rate for both setup and processing. For this example, that rate includes the applicable labor and manufacturing overhead; neither is charged separately. The processing allowance is expressed per acceptable finished part and includes expected normal production losses. Programming, preparation, final inspection and packing are covered by the separate job allowance below, without overlapping the setup or processing hours.

Cost element	Estimate for the quoted run	Batch cost
Material, including the planned cutting and yield allowance	Enough stock for 100 acceptable finished parts	$700
Setup	3 hours × $80	$240
Recurring processing	100 × 12 minutes = 20 hours; 20 × $80	$1,600
Outside finishing	Supplier price for this batch	$300
Other job-specific work	Programming, preparation, final inspection and packing	$160
Total estimated job cost	100 acceptable parts	$3,000

The estimated cost is $30 per acceptable part. The quantity in that denominator matters: dividing by the number of blanks purchased would understate the cost of the pieces the customer actually receives.

Suppose the shop wants a 25% margin on the selling price after the costs listed. The calculation is:

Selling price = estimated cost ÷ (1 − target margin)

For this job, $3,000 ÷ 0.75 gives a batch selling price of $4,000, or $40 per part. That leaves $1,000 after the estimated job costs. It is not net profit: selling, administration and any other business expenses not included above still need to be covered. Taxes and separately charged freight are outside this example.

Do not confuse margin with markup. Adding 25% to the $30 cost gives a $37.50 price, leaving $7.50 per part. That is a 20% margin on revenue, not 25%.

The calculation gives you a cost-based price to evaluate, not proof that the customer will buy or that the job is the best use of your shop. Compare the offer with the customer’s needs, competitive alternatives and the capacity it would consume. If the price is unsuitable, revisit the specification, quantity, route or delivery option rather than silently removing necessary costs.

Check the delivery plan before approving the price

The example assumes one uninterrupted production run. Now imagine the customer asks for an urgent first release and the balance later, and the shop cannot leave the machine set up between them.

If that creates another three-hour setup, the estimated job cost rises by $240 to $3,240. At the same 25% margin, the batch price becomes $4,320, before any additional transport, handling or supplier charges. A split delivery may still win good business, but it is a different offer from the one originally costed.

The same principle applies to the date. Twenty processing hours do not mean the order will be ready in twenty elapsed hours. The required machine may be busy, material may arrive later, and finishing and inspection follow machining rather than happening at the same time.

This is where SkyPlanner gives the estimator and planner a stronger shared answer. Represent the proposed order with its quantity, route, setup times and operation durations, and bring that work into production scheduling while it is still a prospect. You can then evaluate it before turning the opportunity into a firm order.

Arcturus, SkyPlanner’s scheduling AI, calculates the work against configured resources, shifts, dependencies and priorities. With material-aware scheduling enabled, material availability also affects the calculation. The Gantt timeline shows the resulting sequence alongside the work you have already promised.

You spend less time negotiating isolated machine queues and more time choosing a viable offer. If the proposed job needs priority to finish sooner, recalculate and review what else moves. You set the priorities and protect scheduling decisions with locks; Arcturus handles the scheduling calculation.

When the requested date does not fit, give sales a useful alternative:

• A later complete delivery that preserves existing commitments.
• A smaller early release, with repeated setups and handling priced where necessary.
• A changed route or approved extra capacity, with its cost and timing checked.
• A deliberate priority exception, approved with visibility of the other orders affected.

Keep production completion distinct from dispatch and customer receipt. Include inspection, packing, outside services and transport in the promise, either as scheduled work or explicit additional time.

SkyPlanner makes the production consequences visible; your team approves the price and margin. That combination helps you avoid winning an apparently attractive job by selling unpriced disruption to the rest of the factory.

Put the scope, assumptions and terms into the customer offer

A useful manufacturing quotation does not need to expose your internal hourly rates. It does need to make clear what the customer can buy and what would require a revised offer.

Include the customer and quote reference, quote revision, product and drawing revision, quantity, unit and total prices, and any separately priced one-time charges. State the currency and how taxes, freight and packing are treated.

Then make the production promise specific. Does the date mean ready for collection, dispatched or delivered? If lead time starts after drawing approval, receipt of customer material or another prerequisite, name that event. State the quote’s validity, payment terms, inclusions and exclusions, and how changes to quantity or specification will be reviewed.

For the imagined 100-part job, the important assumption is one production run to the agreed revision. If the customer later asks for two releases or extra inspection, the estimator has a clear reason to review both price and date. Without that record, an internal assumption can become an expensive argument after the order arrives.

Give technical, purchasing, production and commercial exceptions a named approver. Not every repeat quote needs a large meeting, but an unfamiliar material, unsupported date or below-target price should not disappear into a routine approval click.

Preserve the estimate when the quote becomes an order

Acceptance should carry the agreed requirements into production, not start a second interpretation of the RFQ. Keep the accepted quote, specification, route assumptions and original estimate together. Check that the order matches them, including release quantities and customer-supplied items.

Recheck the schedule if the customer accepts after the workload or material situation has changed. An opening visible when you prepared the quote may no longer support the same date. Give scheduled prospects an owner and a review point so expired opportunities do not distort the planning picture.

SkyPlanner supports converting a prospect into a firm order. It also integrates with any ERP or MES through its open REST API, so production scheduling can work with the systems you already use for orders and costing. The benefit is continuity: the work assessed for the offer can become the work the shop plans to execute, rather than a fresh set of disconnected estimates.

Use completed work to sharpen the next quote

After production, compare the original allowances with what actually happened. Start with the operation or material assumption that changed, not just the final margin.

SkyPlanner’s Job Report shows time logged against each job, the person and the workstation, helping you compare planned and actual duration by process step. The Order Item Report provides the order-line view. Those records give the estimator a better starting point than asking colleagues to remember a similar job months later.

Separate a poor estimate from changed scope and avoidable disruption. Missing deburring belongs in the next route. A customer-added inspection needs change control. A repeated setup caused by an interruption may call for better sequencing rather than a permanently inflated standard time.

Review quoting performance with the same discipline. Response time matters, but so do the share of suitable quotes won, the reasons for revisions and the difference between estimated and realized costs. A faster answer is valuable when it helps you win work worth delivering.

Test one real RFQ with SkyPlanner

Choose a quote where price and delivery are difficult to agree: a shared bottleneck, a possible split release or a customer asking for an earlier date.

Bring its drawing revision, quantity, route, setup and processing assumptions, plus the committed orders competing for the same resources. Book a SkyPlanner demo to explore how the proposed work fits, what changes when you adjust the offer and how production actuals could improve your next estimate. You get a concrete basis for deciding how SkyPlanner could reduce manual planning work behind your quotes.

If you prefer to explore the environment first, try SkyPlanner with demo data. The goal is the same: price a defined job and make a production promise your shop can support.