Maintenance, Reliability & Engineering Management
Additive Manufacturing and Industrial 3D Printing
Additive Manufacturing and Industrial 3D Printing helps organizations qualify new production methods against engineering, quality, cost, and asset requirements. Participants examine additive processes and materials, design for additive manufacturing, and production workflow before producing a technically screened part portfolio and adoption plan.
Overview
Practical learning for workplace transfer.
The course is designed around the decisions practitioners actually face in Additive Manufacturing and Industrial 3D Printing. Its progression—from additive processes and materials through quality cost and qualification—uses engineering cases, design reviews, and qualification planning. The final part-selection workshop requires participants to justify recommendations, test assumptions, and set practical next steps.
Objectives
- Explain the role, scope, and business significance of additive processes and materials in helping organizations qualify new production methods against engineering, quality, cost, and asset requirements.
- Diagnose design for additive manufacturing through engineering cases, design reviews, and qualification planning and prioritize the most material gaps.
- Design an approach to production workflow with the roles, safeguards, dependencies, and evidence needed to produce a technically screened part portfolio and adoption plan.
- Evaluate quality cost and qualification using measures and failure scenarios appropriate to engineering cases, design reviews, and qualification planning.
- Complete the part-selection workshop and translate its findings into owned actions leading toward a technically screened part portfolio and adoption plan.
Target audience
- Engineering, maintenance, reliability, and production leaders
- Design, quality, materials, and manufacturing engineers
- Asset, spare-parts, and technical-procurement teams
- Innovation teams evaluating industrial production methods
Program outline
A clear structure for the learning journey.
Program outline
Outline points are grouped in one designed block instead of being treated as separate module cards.
Module 1: additive processes and materials
Establish the vocabulary, boundaries, stakeholders, and decision context for additive processes and materials. Use engineering cases, design reviews, and qualification planning to test assumptions against the client context.
Separate established requirements and reliable evidence from untested assumptions about additive processes and materials. Record the decision, supporting evidence, and unresolved questions in the engineering case.
Map additive processes and materials to the organization’s current responsibilities, dependencies, and constraints. State what would trigger rejection, escalation, or redesign of the proposed approach.
Module 2: design for additive manufacturing
Diagnose the current state of design for additive manufacturing using a structured design and quality review. Use engineering cases, design reviews, and qualification planning to test assumptions against the client context.
Compare alternative methods and select an approach suited to risk, maturity, and scale. Record the decision, supporting evidence, and unresolved questions in the design and quality review.
Document requirements, owners, decision criteria, and exceptions for design for additive manufacturing. State what would trigger rejection, escalation, or redesign of the proposed approach.
Module 3: production workflow
Design the workflow, safeguards, and handoffs required for production workflow. Use engineering cases, design reviews, and qualification planning to test assumptions against the client context.
Test normal, failure, and edge-case scenarios before operational adoption. Record the decision, supporting evidence, and unresolved questions in the implementation plan.
Review the design for security, quality, accessibility, sustainability, or assurance implications as relevant. State what would trigger rejection, escalation, or redesign of the proposed approach.
Module 4: quality cost and qualification
Define meaningful measures, evidence, review cadence, and escalation thresholds for quality cost and qualification. Use engineering cases, design reviews, and qualification planning to test assumptions against the client context.
Investigate performance gaps and separate root causes from symptoms. Record the decision, supporting evidence, and unresolved questions in the engineering case.
Plan corrective action, controlled change, and accountable follow-through. State what would trigger rejection, escalation, or redesign of the proposed approach.
Module 5: Applied Additive Manufacturing and Industrial 3D Printing Workshop
Complete a design and quality review that integrates the course decisions around part-selection workshop. Use engineering cases, design reviews, and qualification planning to test assumptions against the client context.
Defend recommendations against a realistic stakeholder challenge or scenario. Record the decision, supporting evidence, and unresolved questions in the design and quality review.
Produce a prioritized workplace action plan with owners, dependencies, and review points. State what would trigger rejection, escalation, or redesign of the proposed approach.
Materials provided
- Course workbook and subject reference guide
- Applied scenarios, worksheets, and decision templates
- Implementation checklist or roadmap canvas
- 4D Certificate of Completion
Training Options
Programs can be delivered in-house, online, or in a blended format depending on your team's schedule, location, and learning objectives. When an external certificate or exam is included, certification rules and fees remain under the relevant awarding body's policies, while 4D provides the training and preparation support.
Why choose 4D
The 4D approach to Additive Manufacturing and Industrial 3D Printing begins with the client’s current decisions and constraints, then uses tailored cases to produce a technically screened part portfolio and adoption plan. Participants receive facilitated challenge and peer review so the output can support real follow-through. No external accreditation, legal opinion, or automatic compliance outcome is represented.
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