Bringing a new product to market has never been more challenging. Today’s manufacturers must coordinate mechanical, electrical, and software engineering teams while managing increasing product complexity, compressed development schedules, evolving customer expectations, and stringent regulatory requirements. Add global supply chains and distributed teams into the mix, and it’s easy to see why product development has become a collaborative effort that extends far beyond the engineering department. 

Yet many organizations continue to manage the product development process using disconnected systems, spreadsheets, email chains, and shared network drives. Product data is scattered across multiple locations, engineering changes are difficult to track, and teams often work from outdated information. The result is unnecessary rework, delayed product launches, and increased development costs. 

This is where Product Lifecycle Management (PLM) transforms the way organizations develop products. 

Rather than serving as a simple repository for CAD files, product lifecycle management provides the digital foundation that connects people, processes, and product data throughout the entire product development lifecycle. From capturing requirements and managing engineering changes to enabling manufacturing collaboration and maintaining a digital thread, PLM helps organizations develop better products faster while reducing risk and improving quality. 

In this article, we’ll explore how PLM product development practices improve every stage of the product development process and why modern manufacturers increasingly rely on PLM as the backbone of their engineering operations. 

Is Your PLM Environment Slowing Product Development?

Increasing product complexity is difficult enough without outdated information, disconnected systems, and manual workflows creating additional delays. Discover five warning signs that your current PLM environment may be contributing to rework, poor collaboration, and longer development cycles.

What Is PLM? 

At its core, Product Lifecycle Management (PLM) is a business strategy supported by technology that centralizes product information and manages it throughout the entire product lifecycle.  

PLM provides a single source of truth for product data, ensuring engineering, manufacturing, quality, procurement, and service teams all work from the same accurate and up-to-date information. 

Rather than storing information in disconnected systems, PLM connects critical engineering assets such as: 

By bringing this information together, PLM creates a structured environment that improves collaboration, reduces errors, and enables more efficient decision-making throughout product development. 

Learn more: For a deeper explanation of PLM concepts, benefits, and capabilities, see our Complete Guide to Product Lifecycle Management (PLM). 

Why Traditional Product Development Struggles 

Before examining how PLM improves product development, it’s helpful to understand the challenges many organizations face without it. 

As products become more sophisticated, development teams generate thousands of files, revisions, approvals, and engineering decisions. Without centralized product data management, this information quickly becomes fragmented across multiple systems and departments. 

Common challenges include: 

Disconnected Product Data 

Engineering files often reside in shared folders, local computers, email attachments, or individual CAD vaults. 

This makes it difficult to determine: 

Without centralized product information, engineers spend valuable time searching for data instead of designing products. 

Limited Engineering Collaboration 

Modern product development requires close coordination between mechanical, electrical, software, manufacturing, and quality teams. When each department works independently, communication gaps emerge that lead to conflicting information, duplicated effort, and avoidable mistakes. 

Strong engineering collaboration depends on everyone having access to the same product information at the right time. 

Manual Engineering Change Processes 

Engineering changes are inevitable. Unfortunately, many organizations still manage Engineering Change Requests (ECRs) and Engineering Change Orders (ECOs) through spreadsheets and email. 

Manual approvals often result in: 

Without structured engineering change management, even small revisions can create significant downstream disruptions. 

Inconsistent Product Development Workflows 

Different teams frequently follow different development processes. Some projects may include formal design reviews while others rely on informal approvals. Documentation standards vary. Approval workflows differ between departments. 

These inconsistencies make it difficult to maintain quality while scaling engineering operations. 

A standardized product development workflow creates consistency without limiting innovation. 

Poor Visibility Across Departments 

Engineering, manufacturing, procurement, and quality often use separate software platforms. Without integration, teams struggle to understand how decisions made in one department affect another. 

Manufacturing may begin production using outdated designs. Procurement may purchase obsolete components. Quality teams may inspect against incorrect specifications. 

The lack of visibility increases both cost and risk. 

How PLM Improves Every Stage of the Product Development Process 

A modern PLM platform supports every stage of the product development process, creating continuity from the earliest product concepts through manufacturing and ongoing product improvements. 

Rather than introducing new work, PLM helps organizations manage existing work more efficiently by connecting people, product data, and business processes. 

Stage 1: Capturing Ideas and Managing Requirements 

Successful products begin with a clear understanding of customer needs. PLM helps organizations capture product ideas, document business objectives, and connect them to engineering activities before design begins. 

When integrated with requirements management and Application Lifecycle Management (ALM) solutions, PLM establishes traceability between customer requirements, engineering requirements, software requirements, risks, and downstream design activities. 

Instead of maintaining disconnected requirement documents, organizations gain visibility into how each requirement influences engineering decisions throughout development. 

This connected approach improves collaboration while reducing ambiguity during the earliest stages of new product development. 

Stage 2: Improving Product Design and Engineering Collaboration 

Engineering is where many organizations realize the greatest value from PLM. Rather than emailing CAD files between team members or storing designs across multiple locations, PLM centralizes engineering information in a secure environment. 

Modern PLM platforms provide robust CAD data management capabilities that help organizations: 

This creates a single source of truth for engineering teams while significantly improving engineering collaboration across disciplines. Mechanical, electrical, and software engineers can work from the same product information without worrying about version conflicts or outdated files. 

Stage 3: Streamlining Design Reviews 

Design reviews are critical milestones within the product development process, but they can become bottlenecks when managed manually. PLM digitizes review workflows by providing structured approval processes that automatically route designs to the appropriate stakeholders. 

Instead of relying on lengthy email chains, reviewers can: 

This improves accountability while accelerating decision-making. 

Every approval is recorded, providing valuable documentation for future reference and regulatory compliance. 

Stage 4: Centralizing BOM Management 

The Bill of Materials (BOM) serves as the foundation for manufacturing, procurement, and production planning. Without centralized BOM management, organizations often struggle with inconsistent product structures, duplicate parts, and outdated manufacturing information. 

PLM provides a centralized environment for managing: 

When engineering changes occur, BOM updates can be managed through controlled workflows rather than manual spreadsheets. This significantly reduces the risk of manufacturing errors while improving coordination between engineering and production teams. 

Stage 5: Streamlining Engineering Change Management 

No product reaches production without change. Customer feedback, supplier constraints, testing results, and evolving market requirements all contribute to engineering revisions throughout development. 

Without a structured process, these changes can quickly create confusion across engineering, manufacturing, procurement, and quality teams. 

This is where engineering change management becomes one of the most valuable capabilities of PLM. 

Rather than relying on emails and spreadsheets, PLM automates the entire engineering change process by managing: 

Before a change is approved, stakeholders can understand exactly which products, assemblies, drawings, BOMs, suppliers, and manufacturing processes will be affected. 

This level of visibility reduces costly downstream errors while accelerating change implementation. 

Stage 6: Improving Manufacturing Collaboration 

Product development doesn’t end when engineering releases a design. Manufacturing engineers, production planners, procurement teams, suppliers, and quality personnel all depend on accurate engineering information to successfully build the product. 

PLM improves manufacturing collaboration by connecting engineering with downstream manufacturing systems. Rather than manually recreating product information, manufacturing teams gain access to: 

When integrated with ERP and Manufacturing Execution Systems (MES), PLM establishes a seamless flow of information between engineering and production. This reduces production delays while ensuring manufacturing teams always work from current product information. 

Stage 7: Supporting Product Launch 

Launching a new product requires coordination across multiple departments. 

Engineering must finalize documentation. Manufacturing must prepare production. Quality teams must complete inspections. Purchasing must secure materials. Marketing and sales need accurate product information. 

PLM helps coordinate these activities by centralizing release documentation and providing visibility into product readiness. 

Instead of wondering whether a product is ready for production, stakeholders can monitor release status through standardized workflows and approval processes. This improves confidence while reducing delays during new product development. 

Stage 8: Enabling Continuous Improvement 

Product development doesn’t stop after launch. 

Field performance, customer feedback, warranty claims, service records, and manufacturing data all provide valuable insights for future product improvements. 

PLM captures this information and connects it back to engineering teams. This closed-loop approach enables organizations to: 

By maintaining product knowledge throughout the entire product lifecycle, PLM supports continuous innovation rather than isolated development projects. 

Put PLM Best Practices into Action

Centralizing product data is only the beginning. Learn how leading manufacturers use PLM to strengthen engineering collaboration, standardize workflows, manage product changes, and create a reliable digital thread across the product lifecycle.

Five Major Benefits of Using PLM for Product Development 

While PLM improves every stage of the product development process, its greatest value comes from the cumulative impact it has across the organization. 

1. Better Engineering Collaboration 

PLM establishes a shared environment where every department works from the same product information. Mechanical, electrical, software, manufacturing, and quality teams gain immediate access to current designs, documentation, and engineering changes. 

This dramatically improves engineering collaboration while reducing communication errors. 

2. Faster Product Development 

Searching for files, recreating designs, waiting for approvals, and resolving version conflicts all consume valuable engineering time. PLM automates repetitive administrative work so engineers can focus on innovation. 

Organizations often experience: 

3. Improved Product Quality 

When every team works from approved product information, quality naturally improves. 

PLM reduces errors caused by: 

The result is more consistent product quality throughout development and manufacturing. 

4. Reduced Engineering Rework 

Engineering rework is one of the largest hidden costs in product development. 

PLM reduces unnecessary rework by improving visibility into: 

When changes occur, teams can understand downstream effects before implementation rather than discovering problems later. 

5. Better Traceability and Compliance 

Modern products require complete visibility into how engineering decisions evolve throughout development. 

PLM supports the digital thread by connecting: 

For regulated industries, this traceability simplifies audits while demonstrating how products were developed and approved. 

Product Development Without PLM vs. With PLM 

The differences between traditional development processes and PLM-enabled development become increasingly significant as product complexity grows. 

Rather than replacing engineering expertise, PLM amplifies it by removing administrative barriers and enabling teams to make faster, better-informed decisions. 

Industries That Benefit Most from PLM 

Although nearly every manufacturer benefits from PLM, organizations developing complex or highly regulated products typically realize the greatest return on investment. 

Industries include: 

These industries often manage thousands of product components, multiple engineering disciplines, strict compliance requirements, and extensive supplier networks. All of these benefit from centralized product data and standardized workflows. 

Best Practices for Implementing PLM 

Successfully implementing PLM requires more than deploying new software. Organizations should focus on improving business processes alongside technology. Key best practices include: 

Start with Your Product Development Process 

PLM should support well-defined engineering processes, not compensate for inconsistent ones. Document current workflows before implementing new technology. 

Establish Product Data Standards 

Standardized naming conventions, document structures, revision practices, and BOM management improve consistency throughout development. 

Connect Engineering Systems 

Integrating CAD, ERP, ALM, MES, and quality systems creates a connected digital environment that reduces manual data entry. 

Focus on User Adoption 

Successful implementations prioritize training, governance, and change management to ensure engineering teams embrace new processes. 

Expand Incrementally 

Rather than implementing every PLM capability at once, many organizations begin with product data management before expanding into workflow automation, change management, manufacturing collaboration, and digital thread initiatives. 

Frequently Asked Questions 

How does PLM improve product development? 

PLM improves product development by centralizing product data, improving engineering collaboration, automating workflows, managing engineering changes, supporting BOM management, and creating a digital thread that connects information across the entire product lifecycle. 

Why is PLM important? 

PLM helps organizations reduce engineering rework, improve product quality, accelerate time-to-market, strengthen collaboration, and maintain accurate product information throughout development. 

Does PLM replace ERP? 

No. ERP manages business operations such as purchasing, inventory, manufacturing, and finance. 

PLM manages engineering information, product data, configurations, and development processes. 

The two systems are complementary and provide the greatest value when integrated. 

Does PLM improve engineering collaboration? 

Yes. PLM creates a shared environment where engineering, manufacturing, quality, procurement, and service teams access the same current product information. 

This improves collaboration while reducing communication errors. 

What industries use PLM? 

PLM is widely used across industries including medical devices, aerospace, automotive, industrial equipment, electronics, consumer products, and manufacturing. 

What is the relationship between PLM and the digital thread? 

PLM serves as one of the primary technologies enabling the digital thread. By connecting requirements, product data, engineering changes, manufacturing information, and documentation, PLM provides continuous visibility across the product lifecycle. 

PLM Is the Foundation of Modern Product Development 

As products become more connected, software-driven, and complex, successful product development depends on more than engineering expertise alone. It requires a connected environment where people, processes, and product data work together seamlessly. 

Product Lifecycle Management (PLM) provides that foundation. 

By centralizing product data management, improving engineering collaboration, streamlining engineering change management, supporting BOM management, and enabling a digital thread across the organization, PLM transforms the product development process from a collection of disconnected tasks into a coordinated, data-driven workflow. 

Organizations that adopt PLM are better positioned to reduce development costs, improve product quality, accelerate innovation, and bring products to market with greater confidence. 

Whether you’re looking to modernize engineering workflows, strengthen collaboration between engineering and manufacturing, or improve visibility across the entire product lifecycle, PLM provides the infrastructure needed to support long-term product development success. 

Ready to Improve Your Product Development Process with PLM? 

If your engineering teams are struggling with disconnected product data, manual engineering change processes, version control challenges, or limited collaboration across departments, a modern PLM solution can help. 

At EAC, we help manufacturers optimize product development through Product Lifecycle Management solutions, engineering process consulting, CAD integration, digital thread strategies, and digital transformation services. Whether you’re evaluating PLM for the first time or looking to maximize the value of your existing Windchill environment, our experts can help you build a more connected and efficient product development process. 

How ready is your organization for PLM? A successful PLM initiative starts with understanding your current processes, systems, data, and organizational readiness. Use this scorecard to identify strengths, uncover gaps, and determine the next steps toward a more connected product development environment.

MedTech manufacturers have never faced more pressure to innovate faster while simultaneously controlling costs, maintaining quality standards, and navigating increasing regulatory scrutiny. Supply chain instability, inflationary pressure, labor shortages, and evolving compliance requirements are all contributing to rising operational costs across the industry. But for many organizations, the biggest challenge is not any single external pressure.

It is the growing operational complexity created by disconnected systems, fragmented engineering data, and manual processes that slow responsiveness across the enterprise. As medical devices become increasingly software-driven and regulatory expectations continue to evolve, many MedTech organizations are recognizing that traditional operational models are no longer sufficient to support long-term scalability and competitiveness.

The manufacturers best positioned for the future are not simply reducing costs. They are modernizing how engineering, quality, regulatory, and operational teams work together through connected lifecycle strategies that improve visibility, traceability, and organizational agility.

Regulatory Complexity Is Accelerating Faster Than Legacy Processes Can Support

Regulatory oversight in MedTech continues to expand globally. From FDA requirements and EU MDR updates to cybersecurity standards and emerging AI governance expectations, manufacturers are being asked to manage increasing levels of complexity throughout the product lifecycle.

For many organizations, compliance preparation still relies heavily on spreadsheets, disconnected documentation systems, manual approvals, and siloed engineering records. These approaches may have worked when products were simpler and development cycles were slower, but they increasingly create bottlenecks in modern MedTech environments.

The challenge is not simply staying compliant. The challenge is maintaining engineering velocity and operational responsiveness while managing compliance requirements at scale.

Disconnected systems often make it difficult to trace requirements, manage engineering changes, coordinate software and hardware development, or prepare for audits efficiently. Teams spend valuable time searching for information, validating records, and manually reconciling lifecycle data across systems.

As product complexity increases, those inefficiencies compound. Organizations that continue relying on fragmented operational environments often struggle to adapt quickly when new regulatory requirements emerge or engineering priorities shift. This is one reason many MedTech leaders are reevaluating how lifecycle data is managed across engineering, quality, manufacturing, and service operations.

Rising Costs Are Exposing Operational Inefficiencies

External cost pressure continues to affect nearly every aspect of MedTech operations. Material costs remain volatile. Supply chains continue to experience disruption. Labor shortages persist across engineering and manufacturing roles. At the same time, organizations are managing growing software complexity, increasing documentation requirements, and heightened pressure to accelerate product delivery timelines.

While these external pressures are difficult to control, many organizations are discovering that internal inefficiencies are magnifying their impact. Disconnected workflows, duplicate data entry, fragmented approval processes, and limited visibility across engineering systems often create hidden operational costs that reduce responsiveness and increase rework.

Engineering teams frequently spend significant time managing documentation and administrative coordination instead of focusing on product development and innovation. Quality and regulatory teams may struggle to maintain real-time visibility into design changes or testing activities. Manufacturing teams may lack timely access to updated lifecycle information.

When systems do not communicate effectively, organizations often compensate with manual processes. The result is slower decision-making, delayed approvals, inefficient change management, and increased operational friction across the enterprise. In today’s environment, operational inefficiency is no longer simply an inconvenience. It has become a direct business risk.

Why Connected Lifecycle Management Is Becoming a Strategic Priority

To address these challenges, many MedTech manufacturers are shifting away from siloed operational models and toward connected lifecycle management strategies. This approach is often described as a “digital thread”: a connected framework that links engineering, quality, regulatory, manufacturing, and service data across the entire product lifecycle.

Rather than managing disconnected systems independently, organizations create a unified operational environment where lifecycle information can move more efficiently between teams and processes. For MedTech manufacturers, this shift can create significant operational advantages.

Connected lifecycle strategies help organizations improve traceability between requirements, risk, testing, validation, design controls, and engineering changes. Teams gain greater visibility into product development activities and can respond more efficiently when issues arise.

The benefits extend beyond compliance. Organizations with connected lifecycle environments are often better positioned to:

The contrast between traditional operational models and connected lifecycle environments is becoming increasingly clear.

As device complexity continues to grow, connected lifecycle management is evolving from a technology initiative into a broader operational strategy.

Operational Resilience Is Becoming a Competitive Advantage

Historically, digital transformation discussions in MedTech often focused on innovation enablement or technology modernization. Today, the conversation is broader. Organizations are increasingly focused on operational resilience: the ability to adapt quickly to regulatory changes, engineering complexity, market volatility, and evolving customer expectations without disrupting business performance.

This shift is changing how MedTech leaders think about operational investment. Modernization is no longer only about increasing efficiency. It is about creating operational environments capable of supporting continuous change.

Manufacturers investing in connected lifecycle strategies are often better positioned to:

In many cases, operational resilience becomes a competitive differentiator. Organizations with greater lifecycle visibility and stronger engineering continuity can often bring products to market more efficiently while maintaining the quality and traceability expectations required in regulated environments.

As a result, operational modernization is increasingly being viewed as a long-term business strategy rather than a standalone IT initiative.

What MedTech Leaders Should Prioritize Next

For organizations evaluating how to improve operational efficiency and lifecycle visibility, modernization does not need to happen all at once.

Many successful transformation initiatives begin by focusing on a few foundational priorities.

1. Evaluate Lifecycle Visibility

Can teams efficiently trace requirements, risks, changes, and validation activities across the product lifecycle?

Limited visibility often creates bottlenecks that affect both engineering speed and compliance readiness.

2. Identify Manual Workflow Dependencies

Where are teams relying on spreadsheets, disconnected approvals, or duplicate data entry?

Manual coordination processes often become major scalability constraints over time.

3. Connect Engineering and Quality Data

Improving continuity between ALM, PLM, quality, and regulatory systems can significantly improve collaboration and operational responsiveness.

4. Modernize Incrementally

Transformation initiatives should support existing validated environments rather than disrupt them.

Organizations often achieve better long-term adoption when modernization is phased strategically.

5. Align Technology to Operational Outcomes

The goal is not simply implementing new tools.

The goal is improving traceability, visibility, efficiency, and organizational agility across the enterprise.

The Future of MedTech Operations Will Be Defined by Adaptability

The MedTech organizations best positioned for long-term success will not necessarily be the ones investing most aggressively in technology. They will be the organizations creating operational environments capable of adapting to constant change.

As regulatory complexity, software integration, and operational pressure continue to increase, connected lifecycle strategies are becoming essential for maintaining both innovation speed and operational resilience. Digital transformation is no longer just about modernization.

It is increasingly about creating the visibility, continuity, and agility required to compete in a rapidly evolving MedTech landscape.

Ready to Build a More Resilient MedTech Operation? Rising costs, regulatory complexity, and growing product demands are reshaping how MedTech organizations approach product development. Explore strategies for improving traceability, strengthening collaboration, and creating a connected digital foundation that supports long-term growth.

For many manufacturers, Windchill has become far more than a product lifecycle management (PLM) platform. It serves as a central operational system connecting engineering, manufacturing, quality, supply chain, and product data processes across the organization. As PLM environments become increasingly integrated and business-critical, the expectations placed on Windchill performance, availability, and administration continue to grow.

At the same time, managing a modern Windchill environment has become significantly more complex. System updates, integrations, infrastructure planning, user management, performance optimization, and compliance requirements all demand ongoing attention. For internal IT and engineering teams already balancing numerous enterprise systems and competing priorities, maintaining specialized PLM expertise can be difficult.

Recent industry-wide remediation efforts surrounding critical software advisories serve as an important reminder of how valuable preparation and responsiveness can be during high-priority events. Organizations that already had experienced administration and support teams in place were able to coordinate remediation efforts more efficiently, validate environments faster, and minimize operational disruption.

That is one of the clearest advantages of working with a dedicated Windchill administration partner: not simply reacting when challenges arise, but ensuring experienced specialists are already in place before they do.

Windchill Administration Is No Longer a Part-Time Responsibility

Years ago, many organizations treated PLM administration as a secondary IT responsibility. Today, that approach is considerably less sustainable.

Modern Windchill environments often include integrations with ERP systems, CAD tools, quality management platforms, and manufacturing systems. Companies may also support multiple business units, remote teams, suppliers, and global collaboration workflows within the same environment. As these ecosystems expand, so does the administrative complexity behind them.

Maintaining a healthy Windchill environment now requires continuous oversight in areas such as:

While internal IT teams may have broad enterprise expertise, Windchill administration often benefits from specialized PLM experience that is difficult to maintain internally without dedicated resources.

An outside administration team provides focused expertise and operational continuity that many organizations simply do not have the bandwidth to sustain on their own.

Many organizations don’t realize operational gaps exist until they begin impacting performance, upgrades, or user adoption.

The Greatest Value Comes From Readiness

One of the biggest misconceptions about managed administration services is that they only become valuable during a crisis. In reality, the greatest advantage comes long before urgent action is needed.

A proactive Windchill administration team continuously monitors the environment, tracks vendor recommendations, evaluates upcoming maintenance requirements, and helps organizations stay aligned with best practices. That preparation creates a significant operational advantage when unexpected issues, software advisories, or infrastructure challenges arise.

When experienced administrators are already familiar with the environment, organizations can move quickly and confidently. Existing documentation, established processes, and ongoing monitoring reduce the time needed to assess systems, coordinate updates, and validate operational stability.

Importantly, this is not unique to Windchill. Every enterprise software platform requires ongoing operational management and proactive oversight. As organizations become increasingly dependent on connected digital systems, preparedness itself becomes a business advantage.

The organizations that respond most effectively during high-priority events are rarely the ones scrambling to assemble expertise after the fact. They are the organizations that already have trusted specialists engaged and established operational processes in place.

Access to Specialized Expertise Without Expanding Internal Headcount

Building and retaining deep PLM expertise internally can be challenging. Experienced Windchill administrators are highly specialized professionals, and many organizations struggle to justify the cost of maintaining large dedicated PLM support teams.

Partnering with an outside Windchill administration team allows organizations to access specialized expertise without significantly increasing internal headcount.

An experienced managed services provider brings knowledge gained across multiple industries, deployment models, and customer environments. That broader exposure often helps organizations identify optimization opportunities, improve operational processes, and avoid common implementation or maintenance pitfalls.

Outside administration teams can also provide expertise in areas such as:

Perhaps most importantly, organizations gain continuity. Internal staffing changes, shifting priorities, or resource constraints are less likely to disrupt PLM operations when a dedicated support partner is already managing the environment.

A well-administered PLM system supports performance, scalability, and long-term operational stability.

Faster Response Leads to Greater Operational Continuity

When business-critical systems experience issues, response time matters.

Whether the situation involves a system outage, infrastructure problem, urgent update, or vendor advisory, delays in assessment and coordination can quickly impact engineering productivity and downstream operations.

An experienced Windchill administration team already understands the organization’s environment architecture, integrations, customizations, and operational requirements. That familiarity dramatically reduces the time required to investigate issues and coordinate remediation efforts.

Instead of beginning from scratch during a high-pressure situation, organizations benefit from:

The result is not simply faster technical response. It is reduced business disruption.

For engineering-driven organizations, minimizing downtime and maintaining continuity can have a direct impact on productivity, project timelines, and operational confidence.

Long-Term Administration Improves Overall PLM Performance

The value of proactive Windchill administration extends far beyond incident response.

Over time, strategic administration helps organizations improve system reliability, reduce technical debt, optimize performance, and better align PLM operations with evolving business needs. Small maintenance decisions made consistently over time often prevent much larger operational challenges later.

Organizations with dedicated administration support are also typically better positioned for:

Rather than operating reactively, they can manage their PLM environment strategically.

That distinction becomes increasingly important as PLM systems continue evolving into core operational platforms that support the entire product development lifecycle.

Preparation Is the Real Advantage

Business-critical systems require more than occasional maintenance. They require consistent oversight, specialized expertise, and proactive operational management.

The value of an outside Windchill administration partner is not rooted in preparing for worst-case scenarios alone. It is rooted in ensuring organizations have the right expertise, processes, and support structure already in place to maintain continuity when challenges arise.

As manufacturers continue expanding their digital engineering and product development ecosystems, proactive Windchill administration becomes less of an optional support function and more of a strategic operational investment.

Organizations that invest in dedicated Windchill administration are ultimately investing in resilience, continuity, and the long-term success of their PLM environment.

Effective Windchill administration is not just an IT function. It directly impacts operational efficiency, engineering productivity, and long-term PLM success.

The Department of Defense has made it clear: digital engineering is no longer optional. With the release of DoDI 5000.97, the DoD is formalizing expectations for how acquisition programs plan, execute, and sustain complex systems using digital, model-based approaches.

For aerospace and defense contractors, the directive is both challenge and opportunity. Many organizations have invested in digital tools: MBSE platforms, CAD, simulation, and analytics. A much smaller number have established the data foundation required to scale digital engineering across programs and lifecycle phases. That foundation is Product Lifecycle Management (PLM).

In this blog we’ll walk through what DoDI 5000.97 is, why it matters to aerospace and defense contractors, and how PLM is a foundational to any initiative.

What Is DoDI 5000.97?

DoDI 5000.97 institutionalizes digital engineering as a core element of the DoD acquisition lifecycle. Its intent is to move programs away from document-centric processes toward data-driven, model-based decision making, from concept through sustainment.

At a high level, the directive emphasizes:

In short, DoDI 5000.97 mandates that digital artifacts, not static documents, become the authoritative source for engineering and program execution.

The Reality for Many A&D Contractors

Despite years of discussion, many organizations still struggle to operationalize digital engineering. Common challenges include:

These challenges are not caused by a lack of engineering capability. They come from the absence of a central system of record that connects people, processes, and product data across the lifecycle.

Why PLM Is the Foundation of Digital Engineering

Deploying a single tool doesn’t mean a company has achieved digital engineering. It requires an enterprise backbone that manages product data, controls change, and enables traceability. PLM provides that backbone.

A Single Source of Truth

PLM establishes a controlled, authoritative environment for product data, including: requirements, configurations, designs, changes, and approvals. This ensures that all stakeholders are working from consistent, current information.

Enabling the Intelligent Product Lifecycle

A core objective of DoDI 5000.97 is lifecycle traceability. PLM enables the intelligent product lifecycle by linking requirements, system models, CAD, manufacturing plans, and verification artifacts. This creates end-to-end visibility across disciplines.

Connecting MBSE to the Enterprise

MBSE is a critical component of digital engineering, but it cannot operate in isolation. PLM integrates system models with downstream engineering and manufacturing data, ensuring system intent is carried through design, production, and sustainment.

Supporting Governance and Compliance

PLM provides built-in version control, configuration management, and auditability. These capabilities are essential for meeting DoD oversight, reporting, and certification expectations.

Mapping DoDI 5000.97 Objectives to PLM Capabilities

While DoDI 5000.97 defines what the DoD expects from digital engineering, it leaves the how up to contractors. Many organizations struggle with translating policy language into executable engineering and program processes. PLM provides the operational capabilities that allow companies to implement DoDI 5000.97 objectives consistently and at scale.

Digital Engineering Implementation

PLM acts as the enterprise system of record for digital artifacts, ensuring that models, requirements, configurations, and engineering decisions are managed as authoritative data, not disconnected files. This enables teams to operationalize digital engineering across programs rather than treating it as a pilot or standalone initiative.

Digital Thread Enablement

A core expectation of DoDI 5000.97 is end-to-end traceability. PLM enables the intelligent lifecycle by linking requirements to system models, designs, manufacturing plans, and verification results. This provides continuous visibility across the lifecycle and supporting faster, more informed decision-making.

Model-Based Systems Engineering Integration

PLM connects MBSE outputs to downstream engineering and manufacturing data, ensuring system intent is preserved throughout execution. This integration allows changes at the system level to propagate accurately, reducing rework and misalignment across disciplines.

Lifecycle Data Management & Governance

Defense programs often span decades. PLM provides long-term data governance, configuration control, and version management. These capabilities are essential for sustaining digital continuity across development, production, and sustainment phases.

What This Looks Like in Practice

When PLM is positioned as the foundation of digital engineering, the impact extends well beyond engineering efficiency. Programs gain greater confidence in data integrity, leadership gains clearer insight into program health, and compliance becomes an outcome of daily work rather than a last-minute exercise.

In practice, a PLM-enabled digital engineering environment enables:

Rather than chasing data across tools, teams work within a connected ecosystem where digital artifacts remain synchronized throughout the lifecycle.

Getting Started: Building a PLM-Centered Digital Engineering Strategy

Adopting digital engineering under DoDI 5000.97 does not require a wholesale transformation overnight. Successful organizations take a phased, pragmatic approach, grounded in business priorities and program realities. PLM provides the structure needed to scale these efforts deliberately and sustainably.

Key steps include:

Common Pitfalls to Avoid

Many digital engineering initiatives stall not because of technology limitations, but due to strategic missteps. Understanding these pitfalls can help organizations avoid costly rework and unrealized value.

Common challenges include:

Avoiding these pitfalls requires viewing PLM as a strategic capability, one that supports compliance, execution, and long-term program success under DoDI 5000.97.

PLM Is Non-Negotiable Under DoDI 5000.97

DoDI 5000.97 makes one thing clear: digital engineering is a strategic imperative for defense acquisition programs. For aerospace and defense contractors, success depends not just on adopting digital tools, but on establishing PLM as the foundation that connects them.

Organizations that treat PLM as an enterprise capability, not simply an engineering system, will be best positioned to meet DoD expectations, reduce risk, and deliver complex systems with greater speed and confidence.

Interested in learning more about the importance of PLM? Explore how foundational PLM is in our guide: Digital Transformation Starts with PLM.

For years, Oracle Agile PLM has been a foundational system for manufacturers managing complex products, changes, and compliance requirements. Many organizations built their product development processes around Agile, relying on its stability and structure to support regulated, multi-discipline environments.

That era is now coming to a close. With Oracle Agile reaching end of life this December, companies using the platform face an important inflection point. The question is no longer if a change is required, but how to approach it in a way that sets the organization up for long-term success.

What Is Oracle Agile?

Oracle Agile PLM has long served as an enterprise solution for managing product data and lifecycle processes. It is best known for its strengths in:

Agile gained widespread adoption in industries with strict regulatory requirements and complex product configurations, including medical devices, aerospace, industrial equipment, and high-tech manufacturing. For many organizations, it became the system of record for product decisions and approvals.

What’s Happening to Oracle Agile

Oracle has announced that Agile PLM will reach end of life in December. While end of life does not necessarily mean systems stop working overnight, it does have serious implications:

Over time, staying on an unsupported PLM platform becomes increasingly expensive and risky. What once felt stable can quickly turn into a liability.

The Risks of Staying on an End-of-Life PLM System

Some organizations may be tempted to delay action and “keep Agile running as long as possible.” However, the risks compound quickly:

At a certain point, the cost of staying exceeds the cost of moving forward.

What Companies Using Oracle Agile Should Do Now

This transition moment shouldn’t be treated as a forced, last-minute replacement. Instead, it’s an opportunity to step back and reassess.

Before choosing a new platform, organizations should consider:

The most successful transitions are those that plan first, migrate second. Use this moment to modernize processes, not just swap tools.

Why Many Agile Users Are Evaluating Windchill PLM

As organizations explore alternatives, Windchill PLM is frequently shortlisted by former Agile users. The reasons are all in what Windchill offers:

Rather than serving as a static repository, Windchill acts as a dynamic backbone for product development across engineering, manufacturing, quality, and service.

The Benefits of Transitioning from Agile to Windchill

Moving from Agile to Windchill is more than a technical upgrade. It’s a strategic reset.

Key benefits include:

For many organizations, Windchill doesn’t just replace Agile. It enables capabilities Agile was never designed to support.

Key Considerations for an Agile-to-Windchill Transition

A successful transition requires careful planning. Common considerations include:

Organizations that approach migration as a structured program (not a technical event) see better outcomes.

End of Life? Or Beginning of Opportunity?

Oracle Agile’s end of life is undeniably disruptive, but it’s also a strategic opportunity. Rather than rushing to preserve the past, organizations can use this moment to modernize how product data, decisions, and processes are managed.

The right PLM platform lays the foundation for the next decade of product development, not just the next release cycle.

Don’t wait until support runs out. Ready to explore how Windchill PLM can help replace Oracle Agile while positioning your organization for scalable, compliant, and future-ready product development? Check out our guide Top 5 Reasons Manufacturers Choose Windchill Over Other PLM Tools.

For many engineering teams, SolidWorks is a powerful and familiar design tool. Paired with a simple Product Data Management (PDM) system it may seem like a complete solution. Files are checked in and out, revisions are controlled, and designers can work efficiently within their CAD environment.

But as products grow more complex and more teams become involved, many organizations discover that PDM alone isn’t enough. This is why a significant number of companies using SolidWorks ultimately choose Windchill for Product Lifecycle Management (PLM).

Understanding why requires looking at where PDM excels, where it struggles, and how PLM fits into the bigger picture.

The Common Assumption: “We Have PDM, So We’re Covered”

Most SolidWorks users begin their data management journey with a simple or native PDM solution. It’s a natural starting point:

For engineering teams focused primarily on design, this often feels sufficient at first.

However, as organizations scale, product development becomes less about managing CAD files and more about managing relationships: between parts, configurations, changes, teams, suppliers, and downstream functions. That’s when the limitations of PDM begin to surface.

Where Simple PDM Starts to Fall Short

Simple PDM systems are excellent at controlling files, but not much else. They weren’t designed to manage the full lifecycle of a product across the enterprise.

Common challenges include:

Limited Cross-Functional Support

PDM is typically engineering-centric. Manufacturing, quality, service, and supply chain teams often lack meaningful visibility into product data or changes.

Change Management Beyond Engineering

Engineering Change Orders (ECOs) may be tracked in PDM, but coordinating approvals, impacts, and execution across multiple departments quickly becomes manual and error-prone.

Weak Downstream Visibility

Manufacturing and service teams may rely on exported BOMs, PDFs, or spreadsheets. This often creates delays and inconsistencies when changes occur.

Configuration and BOM Complexity

Managing product variants, options, and evolving BOMs across the lifecycle is difficult when the system is focused on files rather than product structures.

Limited Governance and Traceability

As compliance requirements grow, organizations struggle to trace decisions, approvals, and data across disconnected tools.

Why PLM Becomes Necessary as Companies Scale

The need for PLM doesn’t appear overnight. It emerges gradually as complexity increases.

Key drivers include:

At this point, organizations need a system designed to manage the product lifecycle, not just CAD data.

Why Windchill Is Commonly Chosen for PLM (Even in SolidWorks Environments)

Windchill is frequently selected as the PLM backbone because it is CAD-agnostic and enterprise-focused.

Key reasons include:

How SolidWorks and Windchill Work Together

In many successful implementations, companies with SolidWorks can simply replace their PDM with Windchill. They can also work together, each playing a specific role:

SolidWorks data participates in enterprise PLM processes without disrupting how engineers design. Each system does what it does best.

Common Use Cases for This Hybrid Approach

This combination is especially common among:

Rather than replacing tools, these organizations layer PLM where it delivers the most value.

Key Considerations Before Making the Move

Before introducing Windchill alongside SolidWorks, organizations should consider:

Successful PLM adoption is as much about clarity and alignment as it is about technology.

Final Thoughts: Choosing the Right Tool for the Right Job

For many organizations, SolidWorks isn’t going away soon. It’s important to extend its value. By pairing SolidWorks with Windchill, companies enable their design teams to keep working in a familiar CAD environment while gaining enterprise-level control over product structures, change, and lifecycle processes. This combination allows SolidWorks data to flow seamlessly into broader product development workflows, giving organizations the governance and visibility they need as they scale without disrupting how engineers design.

By choosing the right tool for the right job, organizations gain lifecycle control, cross-functional alignment, and long-term flexibility, without disrupting how engineers design in SolidWorks.

Not sure how SolidWorks and Windchill should work together? An assessment can help clarify roles, integration points, and the right next steps for your product development environment. Use our checklist to see if an assessment can benefit your organization today!