Connect engineering, ERP, and production
The Full Circle: Bridging the Gap from Design to Production
See how engineering information, manufacturing planning, and production operations connect across the full workflow.
How should a manufacturer prepare for a DELMIAWorks implementation?
Prepare ownership, process decisions, master data, plant-floor transaction rules, integrations, reporting, testing, training, and cutover before configuration accelerates. Name process owners, document current and target workflows with exceptions, profile and govern the data, choose representative end-to-end scenarios, and define the evidence required to move through customer readiness, design, implementation, and deployment.
Manufacturing executives, operations leaders, finance, supply chain, quality, IT, project managers, and plant champions preparing for a DELMIAWorks ERP or ERP and MES program.
This is Morphos readiness guidance, not the DELMIAWorks project methodology or a project statement of work. The current Dassault Systèmes course catalog describes a 2020x methodology course and explicitly directs SMB customers to consult their project consultant because that module is not based on the SMB model. Confirm the current engagement, accounting, regulatory, architecture, and integration requirements before using these gates.
Establish decision rights and realistic capacity
An ERP implementation asks departments to define how work becomes a transaction. Sales owns order commitments, engineering and manufacturing define items and routings, supply chain owns planning rules, production owns labor and material reporting, quality owns nonconformance and inspection controls, finance owns valuation and close, and IT owns the technical environment. Name one accountable process owner for each chain.
Assign an executive sponsor who can resolve cross-functional conflicts and protect project time. Subject-matter experts need scheduled capacity for design sessions, data decisions, testing, training, and defect review. Listing a person on a project chart while leaving the full daily workload untouched is not a staffing plan.
Define the first-release scope and the business outcomes it must improve. Examples include inventory accuracy, schedule visibility, on-time shipment, job-cost traceability, downtime capture, quality containment, or financial close. Avoid promising outcomes that lack a baseline, owner, and measurement method.
| Owner | Decision domain | Readiness evidence |
|---|---|---|
| Executive sponsor | Scope, priority, resources, conflict, and go-live authority | Charter, outcomes, capacity, and escalation path |
| Process owners | Target workflows, controls, exceptions, and acceptance | Signed process maps and test scenarios |
| Data owners | Definitions, sources, quality rules, and ongoing stewardship | Data dictionary, profile, cleanup queue, and sign-off |
| IT and integration owners | Architecture, identity, devices, interfaces, security, backup, and support | Environment and interface inventory with responsibilities |
| Plant champions | Floor usability, training, adoption, and early support | Shift coverage, representative users, and role-based exercises |
Map the transaction chain, including exceptions
Document how a customer requirement becomes an item, quote, order, BOM, routing, material plan, schedule, production job, labor and material transaction, inspection record, shipment, invoice, and cost. Record which system and role owns each step today, where data is re-entered, and which spreadsheet or local database is acting as an unofficial subsystem.
Exception paths reveal the actual design. Include expedite requests, material substitutions, rework, scrap, outside processing, split lots, partial shipments, machine downtime, labor corrections, customer returns, nonconformance, engineering changes, and inventory adjustments. If the project only maps the perfect order, the first difficult week will create uncontrolled workarounds.
Use the design phase to decide target rules, not to reproduce every historical habit. For each change, state why it improves control or flow, who approves it, what data it needs, and how it will be tested. Park unrelated enhancements in a governed backlog so they do not expand the release invisibly.
- Define item, lot, serial, location, work-center, tooling, labor, and machine-event ownership.
- Decide where engineering changes enter the manufacturing and inventory process.
- Write transaction timing rules: who records consumption, completion, scrap, downtime, and inspection, and when.
- Map approval and correction authority for sensitive inventory, quality, and financial transactions.
- Separate required controls from preferred reports or later automation.
Profile master data before promising a migration date
Inventory customers, suppliers, items, units, revisions, BOMs, routings, work centers, calendars, machines, molds or tools, warehouses, locations, lot and serial rules, quality plans, pricing, open orders, inventory balances, and financial dimensions. For each object, identify the source, owner, count, duplicate rule, required fields, historical depth, and target disposition.
Measure completeness, uniqueness, validity, referential integrity, and freshness. An item can have a valid part number but an obsolete unit, missing lead time, broken BOM component, or routing that does not reflect the floor. Data cleanup requires process decisions, and those decisions need owners before transformation scripts are finalized.
Reconcile converted data through control totals and operational tests. Inventory quantity and value, open sales and purchase orders, work in process, receivables, payables, and general-ledger balances need finance and operations acceptance where applicable. A successful import job does not prove the business state is correct.
| Data gate | Question | Evidence |
|---|---|---|
| Definition | Does every field and code mean one documented thing? | Approved data dictionary and code mapping |
| Quality | Are required values complete, valid, unique, and linked? | Profile report and owner-approved cleanup queue |
| Transformation | Can source values become the target without hidden assumptions? | Repeatable mapping and exception log |
| Reconciliation | Do operational and financial totals agree after conversion? | Signed control totals and representative record checks |
| Stewardship | Who keeps the data correct after go-live? | Named owners, access, request, and audit process |
Design plant-floor transactions around the actual work
Walk each production area by shift. Observe where travelers, labels, scanners, terminals, machine signals, quality checks, tooling, and supervisor decisions occur. Record network coverage, power, mounting, environmental conditions, glove use, language, barcode quality, shared-login behavior, and how operators recover from a missed or incorrect transaction.
DELMIAWorks scheduling uses demand, current work orders, projected availability, material, labor, equipment, and other constraints to drive MRP, MPS, and schedule decisions. Production monitoring can apply part counts, downtime, scrap, rejects, and other shop-floor signals to orders. Those outputs remain only as trustworthy as the item, routing, status, quantity, reason-code, and timing rules feeding them.
Pilot devices and screens at the point of use. Time login, job selection, material issue, labor start and stop, production reporting, scrap, downtime, inspection, and label printing. The objective is not merely that the screen loads. It is that the right person can complete the correct transaction without slowing or confusing the work.
Bad floor data weakens every downstream promise
Scheduling, inventory, costing, quality, and delivery visibility can only reflect the transactions received. Treat workstation design, training, and correction authority as core ERP design, not hardware cleanup after configuration.
Inventory every system boundary and assign a source of truth
List CAD and PDM, EDI, e-commerce or customer portals, shipping, carriers, banks, payroll, timekeeping, tax, label systems, quality equipment, CMM outputs, machine monitoring, business intelligence, and any legacy database that exchanges data with the current ERP. For each interface, record direction, frequency, owner, authentication, data volume, error handling, retry, monitoring, and reconciliation.
Define the source of truth by object and event. If customer master data can be edited in two systems, decide which one publishes and how conflicts are resolved. If job completion comes from a machine signal but scrap requires an operator reason, define how those events combine. Ambiguous ownership creates accurate interfaces that still disagree.
Build failure cases into testing: duplicate message, missing required field, delayed file, partial outage, changed code, rejected transaction, and replay after correction. The operating model needs someone to see the failure, understand business impact, correct the source, and confirm reconciliation.
Inventory interfaces
Include spreadsheets, file drops, manual uploads, devices, reports, and hidden departmental databases.
Assign authority
Name the source of truth, data owner, technical owner, and business reconciliation owner.
Define failure behavior
Specify validation, alerting, retry, quarantine, correction, and duplicate protection.
Test end to end
Use representative volume and error cases through the receiving business process.
Operate visibly
Publish interface status, exceptions, ownership, and daily reconciliation where required.
Test complete manufacturing scenarios, not isolated screens
Build an acceptance library from representative products, customers, materials, routings, machines, shifts, quality requirements, and financial treatments. Include a normal make-to-order job, a purchased component shortage, rework, scrap, outside processing, a schedule disruption, partial shipment, customer return, and an engineering or revision change.
Test the complete chain with converted data and intended roles. Confirm planning and scheduling results, material availability, production transactions, traceability, inspection and nonconformance, label and shipping output, invoice, inventory movement, job cost, and financial posting. Record expected results before running the case so the team is not grading the system after seeing what it did.
Classify defects by severity and process impact. A cosmetic label alignment issue differs from an inventory imbalance, failed traceability, or incorrect financial posting. Every conditional pass needs an owner, workaround risk, correction date, and retest. Go-live authority belongs to the sponsor informed by process-owner acceptance, not to the project schedule alone.
| Test layer | What it proves | Acceptance owner |
|---|---|---|
| Configuration | Rules and permissions behave as designed | Functional lead and process owner |
| Data conversion | Records, links, balances, and histories reconcile | Data owner, operations, and finance as applicable |
| Integration | Messages complete, fail visibly, retry safely, and reconcile | Business and technical interface owners |
| End-to-end process | A real order flows through production, quality, shipment, and close | Cross-functional process owners |
| Performance and cutover | Volume, timing, recovery, and day-one procedures are viable | IT, project lead, sponsor, and plant leaders |
Train by role and rehearse the first production day
Create role-based exercises from the same scenarios used for acceptance. Operators practice their job and correction path, planners respond to real constraints, quality handles a nonconformance, supervisors correct transactions, finance reconciles postings, and support staff diagnose common failures. Attendance is not evidence of readiness; completed exercises are.
Write cutover prerequisites, data freeze, final conversion, inventory and financial reconciliation, interface switch, device deployment, access activation, communication, go-live authority, rollback limits, and first-shift support. Define how transactions created during the freeze are captured and entered once the target is available.
Staff hypercare across shifts with one issue channel, severity rules, daily triage, process-owner decisions, and a temporary freeze on nonessential changes. Monitor inventory differences, unposted transactions, schedule anomalies, interface failures, quality holds, shipping blocks, and shadow spreadsheets. Stabilization ends when the business operates predictably and open risks have owners, not when consultants leave the site.
- Require named role exercises before production access is considered ready.
- Rehearse final conversion and reconciliation with realistic volume and timing.
- Define rollback boundaries, especially after new production and financial transactions begin.
- Cover every production shift and remote or satellite operation in hypercare staffing.
- Hold a thirty-day review against the original business baselines and open-risk register.
Use a readiness gate before moving from planning into build
Customer readiness should produce decisions and evidence the design team can use: charter and scope, owners and capacity, current and target process maps, exception catalog, data inventory and profile, interface inventory, plant-floor assessment, reporting and control requirements, representative test scenarios, training approach, cutover outline, and open risks.
Not every open item must be closed before design begins, but every material uncertainty needs an owner, due date, impact, and decision point. If item numbering, inventory ownership, plant transaction rules, or financial reconciliation remain undefined, configuration will encode temporary assumptions that become expensive to unwind.
A readiness review should end with one of three decisions: proceed with the agreed design scope, proceed with explicit conditions and dates, or pause a workstream until a blocking decision or data condition is resolved. That discipline protects the implementation from becoming a discovery project after production commitments have already been made.
Turn readiness statements into owned gate evidence
The downloadable register records each workstream decision, owner, evidence, blocker, dependency, acceptance test, conditional action, risk, phase gate, and approver.
Frequently asked questions
What are the DELMIAWorks implementation phases?
Dassault Systèmes training material describes four phases in the DELMIAWorks Professional Services implementation methodology: Customer Readiness, Design, Implement, and Deploy. The exact project plan and deliverables depend on the agreed engagement.
What data should be prepared for a DELMIAWorks implementation?
Typical scope includes customers, suppliers, items, units, revisions, BOMs, routings, work centers, calendars, machines and tools, warehouses and locations, lot or serial rules, quality data, open orders, inventory, work in process, and financial balances. Owners must define, profile, clean, map, and reconcile each included object.
Who should be involved in manufacturing ERP readiness?
Include an executive sponsor plus process and data owners from sales, engineering, planning, supply chain, production, quality, finance, IT, and plant-floor leadership. Assign representative users across shifts for design review, testing, training, and hypercare.
How do you know a manufacturer is ready for ERP go-live?
Process owners have accepted end-to-end scenarios, converted data and balances reconcile, integrations pass normal and failure cases, plant-floor devices and roles work at point of use, recovery and cutover are rehearsed, training exercises are complete, and remaining risks have explicit owners and acceptance.
Vendor references and method
- Dassault Systèmes DELMIAWorks Course Catalog, official Customer Readiness, Design, Implement, and Deploy methodology phases
- DELMIAWorks manufacturing scheduling and planning, official demand, material, resource, MRP, MPS, and scheduling context
- DELMIAWorks production monitoring, official plant-floor and production-visibility context
- Morphos 3D: DELMIAWorks ERP for machine shops, companion product and workflow overview
- Checklists, sequencing, and decision gates on this page are Morphos 3D implementation guidance. Adapt them to the exact software release, infrastructure, machine, controller, quality system, and approved company procedures.
Use readiness to reduce implementation rework
Start with one end-to-end order, the data that drives it, the people who own each transaction, and the exceptions that currently escape into spreadsheets.
