Glossary

What is Make-to-Order (MTO)? Definition & Manufacturing Examples

User Solutions TeamUser Solutions Team
|
6 min read
Make-to-order manufacturing production workflow

What is Make-to-Order?

Make-to-order, usually shortened to MTO, is a manufacturing strategy in which production starts only after a confirmed customer order arrives. The design and the bill of material already exist, so nothing has to be engineered, but no finished goods are held: every unit is built for the customer who ordered it.

MTO fits where stocking the catalog is impossible or uneconomic. That is usually one of three situations: the product has so many configuration options that no sensible amount of stock would cover them, per-unit value is high enough that carrying cost hurts, or demand at the individual item level is too erratic to forecast even when the total is steady.

For the straight comparison against building ahead into stock, see make-to-stock against make-to-order, which is where that comparison lives on this site. For the scheduling method MTO shops actually run, see our make-to-order scheduling guide.

How Make-to-Order Works

In an MTO environment, the customer places an order specifying the product, quantity, configuration options, and required delivery date. The manufacturer checks material availability and production capacity, quotes a delivery date, and releases a production order to the shop floor.

The production order follows the standard routing for that product - the sequence of operations, work centers, setup times, and run times are predefined. Raw materials are either pulled from stock or ordered from suppliers. Manufacturing proceeds through all operations, and the finished product ships directly to the customer rather than entering a finished goods warehouse.

The customer order decoupling point in MTO sits at the manufacturing stage. Raw materials and possibly some common subassemblies are stocked based on forecasts, but final production is triggered only by actual customer demand. This balances the cost of carrying some inventory (raw materials) against the risk of holding expensive finished goods that may not sell.

MTO works best when demand is unpredictable at the finished goods level but more stable at the raw material level, products have enough variants to make stocking impractical, per-unit value is high enough for carrying cost to matter, and customers accept a lead time in days or weeks instead of immediate availability. If all four hold, MTO is not a compromise, it is the cheaper strategy.

Make-to-Order Example

A commercial furniture manufacturer offers 8 desk models, each in 12 finishes, 4 edge profiles and 3 sizes. That is 8 x 12 x 4 x 3 = 1,152 possible configurations, and holding a single unit of each would mean $2.3 million of finished goods and 18,000 square feet of warehouse.

Stock every configurationMake to order
Configurations offered1,1521,152
Inventory held$2.3M of finished goods$400,000 of raw material
Warehouse space required18,000 sq ftnone for finished goods
Annual carrying cost at 20 percent$460,000$80,000
Customer lead timeships from stock8 business days

MTO holds 83 percent less inventory and saves $380,000 a year in carrying cost. The entire price of that saving is eight business days, which commercial furniture buyers accept without argument because they are specifying a desk, not replacing one.

Here is where those eight days actually go on an order for 25 maple desks with waterfall edges and a 72-inch top.

StepWorking daysCumulative
Order entry, configuration check, material allocation1.0day 1
Queue before the first operation2.0day 3
Cutting and edge banding1.0day 4
Drilling and assembly2.0day 6
Finishing1.5day 7.5
Packaging and dispatch preparation0.5day 8

Three of the eight days pass before a machine touches the job, and only five are manufacturing. That ratio is the most useful thing on this page, because it means quoting accuracy in an MTO shop depends on the state of the queue rather than on how long the work takes. A shop that knows its work content perfectly and does not know its queue will still quote badly.

Why Make-to-Order Matters for Production Scheduling

MTO places hard demands on production scheduling. Every order carries a customer-facing due date, and where make-to-stock lets safety stock absorb a disruption, MTO has no buffer at all: a late job is a late delivery. The scheduler has to balance incoming orders against finite capacity, keep material arriving, and sequence work so the due dates hold.

Scheduling software like Resource Manager DB (RMDB) and its successor EDGEBIC (RMDB 2.0) does this by loading each job onto specific resources at specific times, surfacing capacity conflicts before they become late deliveries, and letting a planner test whether a due date is feasible while the customer is still on the phone.

Three capabilities carry most of the weight. Loading every operation against the hours a resource genuinely has is what makes a promised date mean anything. Seeing the queue in front of each resource before quoting is what turns the three-day front end of that eight-day lead time from a guess into a number. And re-sequencing without rebuilding the plan is what lets a shop take a rush order without making four other customers late.

Accurate lead time quoting is a competitive advantage in MTO, not a back-office chore. A manufacturer that quotes reliably and delivers on time wins repeat business; one that quotes optimistically and delivers late loses customers whatever the product quality. Homestead Furniture, an MTO furniture maker, moved its basic weekly schedule from a 40-hour scheduler task to a 2-hour clerk task, and Technical Glass Products took on 4 percent more business with the same workforce.

  • Make-to-Stock - The opposite strategy where products are manufactured to forecast and held in finished goods inventory
  • Engineer-to-Order - A strategy requiring custom engineering before production, with even longer lead times than MTO
  • Assemble-to-Order - A hybrid strategy that stocks subassemblies and assembles to order for shorter lead times

Common Questions About Make-to-Order

What are the advantages of make-to-order?

MTO removes finished goods carrying cost, removes obsolescence risk, allows customization inside a predefined option set, and guarantees that every unit built has a customer waiting for it. In the worked example above those advantages are worth $380,000 a year and 18,000 square feet.

What are the disadvantages of make-to-order?

The customer waits, which make-to-stock customers do not. MTO also needs accurate lead time quoting, dependable scheduling, and the ability to absorb demand swings with no inventory buffer. Poor scheduling in an MTO shop converts directly into late deliveries, because there is nothing between the schedule and the customer.

What is the difference between make-to-order and engineer-to-order?

In MTO the design and the bill of material already exist and only production waits for the order. In engineer-to-order the design work itself begins after the order, so an engineering lead time sits in front of the manufacturing lead time. MTO configures from known options; ETO creates something that has not existed before.

Where does the customer order sit during an MTO lead time?

Mostly in a queue. In the worked example, 3 of the 8 business days pass before any machine touches the job: order entry, configuration checking, material allocation and the wait for a free resource. Shops that shorten MTO lead time usually find the days in the front end rather than in the cutting.

Learn more in our complete manufacturing glossary or production scheduling guide.

Frequently Asked Questions

Ready to Transform Your Production Scheduling?

User Solutions has been helping manufacturers optimize their production schedules for over 35 years. One-time license, 5-day implementation.

User Solutions Team

User Solutions Team

Manufacturing Software Experts

User Solutions has been developing production planning and scheduling software for manufacturers since 1991. Our team combines 35+ years of manufacturing software expertise with deep industry knowledge to help factories optimize their operations.

Let's Solve Your Challenges Together