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In modern manufacturing, the speed and reliability of production increasingly depend on what happens long before the factory floor. Product complexity is rising, delivery expectations are shrinking, and customers increasingly demand customised solutions. At the same time, manufacturers must control operational costs while maintaining quality and reliability.
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Yet many improvement initiatives still focus primarily on the shop floor. In reality, a significant share of inefficiencies originates earlier in the product lifecycle. The design and engineering phase often creates hidden work in progress (WIP) in the form of partially completed models, incomplete bills of materials, unresolved engineering changes, and documentation that is not yet ready for release.
Design automation addresses these challenges at their source. By combining engineering automation, integrated data management, and digital workflows, manufacturers can reduce bottlenecks, accelerate decision making, and enable more predictable production outcomes. As digital transformation continues across the industry, engineering automation is becoming a strategic capability rather than simply a technical upgrade.
Hidden WIP Begins in the Engineering Department
Work in progress is often associated with unfinished products on the shop floor. In reality, unfinished engineering work often originates earlier in the product development phase.
Unfinished engineering deliverables often appear as:
Partially completed CAD models waiting for updates
Incomplete or inconsistent bills of materials (BOMs)
Repeated design work for similar products
Manually produced drawings and documentation
Disconnected systems between CAD, PDM/PLM, and ERP
When engineering data is incomplete or inconsistent, delays cascade across the organisation. Procurement cannot source materials, production planning cannot schedule work, and manufacturing execution becomes reactive rather than predictable.
Industry data highlights the scale of this issue. The Autodesk State of Design & Make 2025 report found that
As a result, many manufacturers are shifting their focus upstream. Improving engineering efficiency is increasingly recognised as a critical driver of operational performance.
Design Automation as a Strategic Shift in Engineering
Many manufacturers are moving beyond traditional manual design towards engineering automation, where repetitive tasks are handled by systems and engineers focus on defining product logic and design rules.
This shift allows organisations to increase engineering capacity without proportionally increasing headcount.
Design automation enables several important improvements:
Modern CAD platforms allow engineers to generate complex models from a small set of parameters. Instead of redesigning similar components repeatedly, intelligent templates automatically adapt to new configurations.
Technical drawings and documentation can be generated directly from 3D models, reducing manual effort and improving consistency.
As manufacturers offer more configurable products, automation enables new variants to be generated quickly while maintaining design standards and compliance.
By reducing repetitive tasks, engineers can focus more on innovation, optimisation, and complex design challenges.
Research from McKinsey on digital engineering transformation shows that organisations implementing engineering automation and integrated digital workflows can reduce product development cycle times by 20 to 50 percent.
Accelerate engineering performance with confidence
Work with ARKANCE to streamline design workflows, structure engineering data, and implement automation that reduces WIP and supports faster, more predictable production.
Data Integration and Automation Across the Factory
Design automation alone does not eliminate unfinished engineering work or process delays. The real impact occurs when engineering data flows seamlessly across the organisation and becomes immediately usable by other departments.
When the bill of materials is generated directly from the design model and synchronised with ERP systems:
Procurement teams can begin sourcing immediately
Production planners receive accurate data earlier
Manufacturing can start faster with fewer disruptions
Automated documentation and design rules reduce the risk of human error. When engineering data is validated and standardised, downstream teams spend less time resolving inconsistencies.
Engineering data management platforms ensure product data is stored, versioned, and distributed consistently, creating a single source of truth across departments.
Key benefits include:
Faster design searches and reuse of existing components
Improved collaboration between engineering, procurement, and production
Controlled change management with full revision history
Stronger protection of intellectual property and design standards
Well organised engineering data is more than a technical improvement. It forms the foundation for automation and scalable digital manufacturing processes.
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How ARKANCE Supports Engineering and Manufacturing Transformation
Implementing engineering automation and connected digital workflows requires more than technology. Successful transformation depends on aligned processes, strong data governance, and organisational adoption.
As a global Autodesk Platinum Partner, ARKANCE helps manufacturers move from fragmented engineering processes to integrated digital workflows that improve productivity and operational performance.
Our expert professional services include:
Assess current workflows, identify inefficiencies, and define a practical digital transformation roadmap.
Implement automation frameworks and configurable design solutions to reduce repetitive work and accelerate product variants.
Establish structured systems for consistent naming, version control, and change management.
Connect engineering platforms with ERP and other enterprise systems to enable seamless data flow across departments.
Equip teams with the skills and support needed to adopt new digital tools and workflows.
By combining technology expertise with industry knowledge, ARKANCE helps manufacturers achieve measurable improvements in engineering productivity and operational efficiency.
Engineering Efficiency as the Foundation of Modern Manufacturing
Reducing work in progress and accelerating production does not begin on the factory floor. It starts in engineering, where product definitions, data structures, and design decisions are created.
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Design automation, integrated engineering data, and digital simulation technologies help manufacturers remove hidden inefficiencies that slow production and increase complexity.
Organisations that succeed treat engineering processes as strategic assets rather than isolated technical functions. By investing in engineering automation and connected digital workflows, manufacturers can improve responsiveness, shorten development cycles, and build more resilient production systems.
For many organisations, the question is no longer whether to adopt design automation, but how quickly they can implement it effectively.
Frequently Asked Questions:
What is design automation in manufacturing?
Design automation uses software tools and parametric design systems to automatically generate models, drawings, and documentation based on predefined rules and parameters.
How does design automation reduce work in progress?
By automating repetitive design tasks and synchronising engineering data with enterprise systems, design automation helps teams complete designs faster and reduces unfinished engineering work moving through development processes.
What role does engineering data management play in reducing work in progress?
Structured engineering data management ensures that all departments work from the same version of product information, reducing errors, duplication, and delays in production planning.
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