Engineer-to-Order (ETO) is the most radical order-driven manufacturing strategy: Design itself starts only with the customer order. Contrary to most guides, the Order Penetration Point in ETO sits not in sales but in engineering — and the central break point is not manufacturing but the handover from design to work preparation. From over 1,200 projects across the DACH Mittelstand we know: Locate the OPP per product family, install an engineering change board, and close the KPI chain — that finishes the hard part.
What is engineer-to-order? Definition, OPP position and distinction
Engineer-to-order is a manufacturing strategy in which design begins with the customer order. The Order Penetration Point sits in engineering — the most upstream position in the value stream. Unlike MTO, ATO or MTS, ETO places design within the order-driven zone.
ETO is one of four classical make configurations. The Gabler Business Dictionary classifies ETO as pure order manufacturing with a customer-specific end product. The ASCM SCOR standard lists make-to-stock, make-to-order and engineer-to-order as the three make configurations — ETO defined as customer-specific design before manufacturing, the most upstream Order Penetration Point.
The methodological anchor is the Order-Penetration-Point research by Wikner and Rudberg (International Journal of Production Economics). Before the OPP, work is forecast-driven; after it, order-driven. In MTS the OPP sits in shipping, in ATO at the component warehouse, in MTO at raw materials — and in ETO in engineering. The four strategies differ not in the ERP module but in the OPP position. Gosling and Naim categorise ETO variants by engineering depth — from Repeat-ETO to one-off unique builds.
From over 1,200 projects we know: DACH practice conflates ETO with MTO or configure-to-order. The separation of "Develop and Manage Products" (2.x) from "Manage Sales Orders" (4.x) and "Produce" (5.x) in the APQC Process Classification Framework makes it visible: in ETO, parts of the 2.x processes sit inside the order-driven loop.
Why engineer-to-order is under fresh pressure in the DACH Mittelstand in 2026
Three drivers converge in 2026: DSAG reports machinery, equipment and component manufacturing as the top sector at 12 percent of its sample, Bitkom flags 46 percent of industrial firms as AI laggards, and VDMA confirms Q1 2026 German machinery exports down two percent. Treating ETO as a pure PLM tool question misses the executive dimension.
First — looming S/4HANA migrations. The DSAG Investment Report 2026 (around 198 SAP users across D/A/CH) reports: 42 percent plan high-to-medium investments in S/4HANA On-Premises, 22 percent in Private Cloud, only 6 percent in Public Cloud. Machinery, equipment and component manufacturing is the top sector at 12 percent of the DSAG sample — direct evidence the ETO core industry is watching the architecture decision closely.
Second — the widening maturity gap. The Bitkom Industry 4.0 study (2026) (a survey of 555 industrial companies with 100 or more employees) shows: 97 percent use at least one Industry 4.0 application — yet 46 percent see themselves as AI laggards (36 percent behind, 10 percent fallen behind). We have observed in our ETO projects: this gap is rarely a PLM problem, but a process-owner problem at the engineering-to-work-preparation interface.
Third — cyclical pressure on machinery and plant engineering. The VDMA economic reporting puts Q1 2026 German machinery exports down two percent (to around €48.9 billion). In this phase the strategic decisions on PLM, ERP and MES investments fall — and with them the ETO viability of the next five to seven years.
The ETO methodology — six phases, one process owner
We implement ETO in six phases — quotation, design release, work preparation, manufacturing, assembly and commissioning, acceptance and invoicing. An ETO process owner runs across all phases. Without that end-to-end role, function boundaries replace an order-driven engineering-to-delivery flow.
The following six-phase logic has proven robust:
- Phase 1 — Quotation with concept sketch. Enquiry, rough sizing, feasibility, commercial costing with engineering effort. Decides which parts are Repeat-ETO and which must be designed order-specifically.
- Phase 2 — Design release. Detail design, CAD model, BOM in PDM, release after engineering review. Routinely underestimated — it is the OPP bottleneck.
- Phase 3 — Work preparation and material release. Handover from design to work preparation, routing creation, procurement trigger, capacity check. In SAP this typically runs via the Project System (PS) with sales-order-specific BOMs — each sales order generates its own demand.
- Phase 4 — Manufacturing. Component manufacturing, in-house and external, continuous ECO review. Lead times of six to 24 months are normal in special-purpose machinery.
- Phase 5 — Assembly and commissioning. Final assembly, function test, set-up. The Siemens article on ETO describes this phase as an order-specific pull line.
- Phase 6 — Acceptance and invoicing. Customer acceptance, milestone logic, final invoice, warranty. Sales, engineering and shop-floor figures must describe the same order at the end.
An ETO process owner must sit across all six phases. From over 1,200 projects we recommend placing this role directly below the executive board — operationally often with the Head of Operations. The end-to-end mandate from quotation to commissioning is decisive. Splitting the role rebuilds the engineering-to-manufacturing break point into the organisation rather than dissolving it.
Case example: special-purpose machinery builder with 30 to 80 orders per year (anonymised)
At a southern German special-purpose machinery builder with 30 to 80 ETO orders per year, uncontrolled engineering change orders had caused twelve weeks of engineering-release delay per order. The case was resolved by an engineering change board and swim-lane modelling of the design-to-work-preparation handover — not by new PLM.
We have observed in over 1,200 projects: The majority of schedule and cost losses in ETO arise at the engineering-to-work-preparation interface, not in manufacturing. The Trovarit "ERP in Practice 2024/2025" study (1,700+ DACH users) puts the vendor service quality under scrutiny — satisfaction hinges less on the system than on requirements and project methodology. That is exactly where the lever sits in ETO.
We have worked with a southern German special-purpose machinery builder with around 180 employees in the DACH Mittelstand. On-time delivery had fallen below 60 percent; engineering change orders ran uncontrolled. Per order, between eight and 16 changes occurred after design release — partly customer-driven, partly internal. Without a formal board, changes flowed straight into CAD and PDM, with downstream cost in procurement and the shop floor that no one had seen.
In our project we mapped the case in ten weeks: interviews, PDM history analysis, swim-lane modelling of the handover, OPP positioning per product family. The executive team named an ETO process owner with an end-to-end mandate and installed an engineering change board — biweekly meetings with process owners from sales, design, work preparation and manufacturing. The engineering-release delay fell from twelve to four weeks within two quarters; on-time delivery rose above 85 percent. A PLM renewal followed — leaner to specify.
What most engineer-to-order guides won't tell you
Three points routinely missing from ETO guides — yet which, in our experience, regularly explain heavy engineering losses. Contrary to common claims, the tool question is secondary. What matters: OPP positioning, engineering-change discipline, and a continuous KPI chain across all six phases.
1. In ETO the OPP sits in engineering, not in sales
In many ERP selections the strategy question is framed as a module question: which SAP strategy, which PLM, which configurator? Methodologically the order is reversed. We position the OPP per product family and module first — based on variant count, engineering depth and customer-required lead time. Only then do we choose between classical ETO, Repeat-ETO, configure-to-order plus engineering, or hybrid. "Structure follows process follows strategy" holds strictly in ETO. Pick the label before the OPP analysis and you buy a tool that does not fit the value flow — and reproduce the engineering bottleneck in the new system.
2. The engineering handover is the real ETO bottleneck
From our experience across over 1,200 projects, most ETO loss points sit at the engineering-to-work-preparation interface. Specifically at three handovers: quote concept to detail design (shifted assumptions), design to work preparation (no formal BOM handover), and work preparation to the shop floor (ECO without board discipline). We tackle these break points in a process-mining workshop with swim lanes — before any specification or PLM selection starts.
3. The KPI chain must cover all six phases
In numerous ETO implementations at special-purpose machinery builders we have observed: The shop floor alone cannot fix on-time delivery if sales and engineering watch different KPIs. We establish a continuous KPI chain — quote-to-engineering-release, engineering-release-to-production-start, ECO rate per order, on-time delivery, project margin. Only when all functions share the same view do robust decisions replace functional blame-shifting.
Our take
ETO is an OPP and process-owner question, not a tool question. Locate the OPP per product family, install the engineering change board, and close the KPI chain across all six phases — the hard part is done. PLM, ERP planning strategy and MES then follow as a comparatively simple exercise.
Application across Dreher industries
ETO is the typical make configuration in plant and special-purpose machinery, in shipbuilding and steel construction, and in industrial construction. We calibrate the phases industry-specifically — milestone logic in project business, Repeat-ETO shares in variant manufacturing, deep engineering in special-purpose machinery.
In plant and mechanical engineering ETO runs lead times of six to 24 months per order; billing follows down-payment and milestone logic. In special-purpose machinery the engineering share dominates — the OPP sits clearly before design. In project-oriented variant manufacturing, Repeat-ETO with parametric design is the growth lever; shifting the OPP downstream shortens lead time without losing customer specificity. The separation from pure order manufacturing is covered in the sister article on make-to-order — when special-purpose machinery executives say "MTO", they almost always mean ETO.
Frequently asked questions
ETO, MTO and ATO differ in the position of the Order Penetration Point. In ETO the OPP sits in engineering — even design starts with the order. In MTO it sits at raw materials — design is complete, the order triggers component manufacturing. In ATO it sits at the component warehouse — sub-components are pre-built, final assembly starts with the order. ETO is the most radical pull strategy and sits furthest upstream. We recommend positioning the OPP per product family rather than placing the marketing label ahead of the methodology.
ETO fits when the product must be designed to customer specification, engineering content is substantial, and customers accept longer lead times. Typical DACH industries: plant and special-purpose machinery, shipbuilding and steel construction, industrial construction. ETO does not fit short lead times and stable variants — there Repeat-ETO, configure-to-order, or MTO carries better. We decide per product family — hybrid combinations of classical ETO and Repeat-ETO are the norm in DACH special-purpose machinery.
From over 1,200 projects we recommend: an engineering change board with process owners from sales, design, work preparation and manufacturing; meeting cadence every one to two weeks; clear escalation rules by effort and customer impact; continuous PDM or ERP documentation with impact assessment on schedule, cost and quality. The board decides, design implements — not the other way round. Without this discipline, changes flow into CAD and PDM, and downstream costs land unseen in procurement and the shop floor.
From over 1,200 projects we recommend: first position the OPP per product family, then choose the strategy (classical ETO, Repeat-ETO, configure-to-order plus engineering, or hybrid), then name the ETO process owner and install the engineering change board, then model the target process across six phases, then write the specification, and only then choose PLM, ERP planning strategy and MES. Start with the tool and you buy a module configuration that does not fit the engineering-to-manufacturing flow. We work vendor-neutral along process, data and system architecture.
Next steps
Before any PLM or ERP tool selection in ETO, a short clarification pays off: Where does the OPP sit per product family? Who is the ETO process owner? How do we steer engineering change orders? Skip this and you build on an unclear engineering handover.
For depth, see our process management services and our ERP consulting. Cross-references: make-to-order, production planning and control, process owner. Cases in our Insights; arrange a first conversation via the contact page.
30 minutes with Dreher Consulting
A structured pre-clarification of your ETO flow — OPP per product family, ETO process owner and engineering change board, vendor-neutral and drawn from over 1,200 projects across the DACH Mittelstand.
