TABLE OF CONTENTS
Key takeaways
A hardware product’s life cycle spans five core stages: ideation, design and development, manufacturing and launch, service and support, and retirement.
These stages are interconnected rather than strictly linear. Manufacturing issues, field failures, supply-chain disruptions, and component obsolescence can all send a product back through design and change processes.
Product lifecycle management (PLM) helps teams maintain a single, traceable source of truth for parts, BOMs, revisions, documents, sourcing data, and engineering decisions.
Establishing lifecycle processes early prevents product information from becoming fragmented as the company, product portfolio, and supply chain grow.
Duro supports the complete product life cycle by connecting engineering data, controlling changes, preserving product history, and keeping downstream teams aligned on what should be built and supported.
For hardware and electrical engineering teams, understanding the product life cycle is especially important. Physical products are built from interconnected parts supplied by different manufacturers, designed in multiple engineering tools, and assembled through real-world production processes. So one design decision can affect cost, sourcing, manufacturability, compliance, field reliability, and serviceability long after the original engineer made it.
To avoid tragic domino effects, understanding and managing the entire life cycle helps teams make better decisions today without creating problems for manufacturing or for their future selves.
What is the product life cycle?
A product life cycle is the complete journey a product takes from its earliest concept through development, production, use, support, and eventual retirement. From a hardware engineering perspective, the major product life cycle stages are:
- Ideation
- Design and development
- Manufacturing and launch
- Service and support
- Retirement
These stages may appear sequential, but hardware development rarely goes in a straight line. For example, a manufacturing problem may send a product back into development; or a field failure may trigger a new design revision. A well-managed product life cycle accounts for these feedback loops. It gives every team access to the product information and history needed to make informed changes.
Product life cycle vs. product lifecycle management
The product life cycle is the journey the product takes. However, product lifecycle management, or PLM, is the discipline (and usually the software) used to manage the product, its data, and its changes throughout that journey.
A PLM platform connects information such as:
- Parts and components
- Bills of materials
- Drawings and CAD files
- Product specifications
- Revisions
- Manufacturer and supplier data
- Change orders
- Approvals
- Lifecycle statuses
- Supporting documentation
Without PLM, this information is often scattered across spreadsheets, CAD vaults, shared drives, emails, chat messages, and individual engineers’ computers. PLM turns that collection of disconnected information into a structured product record, and helps busy teams oversee the entire life cycle.
Why the product life cycle matters to engineering teams
Thinking in terms of the complete product life cycle encourages teams to consider more than just their immediate sprint. It connects engineering decisions to downstream realities such as manufacturability, sourcing, quality, compliance, and maintenance. This holistic, 10,000 foot view helps engineering teams keep focus on longer-term goals and milestones, while shedding light on potential pitfalls down the road.
Good lifecycle management also helps teams move faster. Engineers spend less time searching for files or determining which revision is current, and more time actually engineering. Manufacturing teams receive clearer information. Supply-chain teams can identify affected products more quickly. New employees can understand a product without relying entirely on tribal knowledge.
As a hardware company scales and adds more products to develop and maintain, solid life cycle fundamentals go a long way in production success.
The five stages of a hardware product life cycle
1. Ideation
Every product begins with a problem to solve. During ideation, the team evaluates customer needs, business opportunities, technical constraints, and possible solutions.
For electrical engineering teams, this might involve selecting a processor family, defining high-level power requirements, evaluating sensors, or deciding whether to build or buy a particular subsystem. Mechanical engineers may begin exploring form factors, materials, thermal strategies, and manufacturing methods.
Typical activities during ideation include:
- Customer and market research
- Initial product requirements
- Technical feasibility studies
- Preliminary system architecture
- Early component research
- Proof-of-concept builds
- Initial cost and sourcing analysis
- Risk identification
Product data at this stage is incomplete by definition but early requirements, test results, component choices, and architectural decisions often shape everything that follows. If that information remains trapped in presentations, personal notebooks, or temporary spreadsheets, teams may lose the reasoning behind foundational decisions.
How PLM contributes during ideation
A modern PLM like Duro gives engineers a place to organize preliminary products, parts, BOMs, and supporting documentation as the concept takes shape. Requirements can remain in the tools best suited to manage them while Duro connects the emerging product structure to the broader hardware stack through its integrations.
The objective at this stage is not to lock the product down. It is to preserve useful information so that promising ideas can move into development without starting over.
2. Design and development
During design and development, the product moves from a concept to a buildable system. Mechanical engineers create models and drawings. Electrical engineers develop schematics, lay out circuit boards, and select components. Prototypes are assembled, tested, broken, modified, and tested again.
Typical activities include:
- MCAD and ECAD development
- Component selection
- BOM creation
- Prototype builds
- Design reviews
- Verification and validation
- Design for manufacturing
- Compliance preparation
- Cost and sourcing analysis
- Engineering changes
This stage ramps up the volume of product data. Even a single product may include thousands of parts, multiple levels of assemblies, mechanical and electrical files, test reports, specifications, and several prototype revisions. So while your team may not need a life cycle strategy for the ideation phase, you’ll definitely want methodologies in place now.
When product data is fragmented, teams can end up with conflicting BOMs, duplicated part numbers, unclear component substitutions, and files whose names offer the only clue to their revision.
How PLM contributes during design and development
This is when your PLM becomes crucial as it centralizes product structures, parts, BOMs, revisions, sourcing information, and engineering changes. Ideally, its CAD integrations will also help mechanical and electrical teams publish product data without relying on repetitive manual exports.
Your PLM puts in place a structure that allows your team to iterate quickly while maintaining traceability. Instead of slowing engineers down with administrative work, lifecycle management provides guardrails that keep fast-moving development from becoming disorder.
3. Manufacturing and launch
Ready to get production-ready? During manufacturing and launch, your team translates engineering design into a repeatable manufacturing process. The product needs to be sourced, assembled, tested, inspected, and delivered consistently… potentially thousands of times.
Typical activities include:
- Design release
- Production BOM approval
- Supplier qualification
- Tooling and fixture development
- Manufacturing process planning
- Pilot and preproduction builds
- Quality planning
- Production validation
- Product launch
- Production ramp-up
And you’ll start seeing red flags at this stage. This is when you’ll encounter problems that may not have appeared during prototyping. A part may have an unacceptable lead time. An assembly may be difficult to build consistently. A test procedure may be incomplete. A supplier may recommend a material or process change.
The quality and speed of the engineering-to-manufacturing handoff can determine whether the launch stays on schedule or becomes a series of expensive corrections.
How PLM contributes during manufacturing and launch
From your PLM, manufacturing and operations teams can see what should be built without relying on an engineer to assemble the correct collection of files manually. When a last-minute issue requires a change, the PLM records what changed, why it changed, who approved it, and which products or assemblies are affected.
Going further, a PLM like Duro can also connect product information to ERP, MES, requirements management, quality, and other business systems through out-of-the-box integrations and an API-first architecture. This reduces duplicate data entry and helps ensure that engineering and manufacturing systems are working from consistent information.
The result is a stronger feedback loop between the people designing the product and the people responsible for building it.
4. Service and support
Have you shipped your product? Congratulations! But wait, often times when your product is in the hands of your customers, that’s when the real work (and headaches) start.
Once live, engineering teams begin receiving information that could never be fully reproduced in a lab. Products encounter different environments, usage patterns, loads, and edge cases. Or perhaps your suppliers change their processes, or components become scarce due to unpredictable trade embargos. A hundred different issues can, and will, appear in this phase.
Typical service and support activities include:
- Field failure investigation
- Customer support
- Root-cause analysis
- Corrective and preventive actions
- Repairs and replacement parts
- Supplier changes
- Component substitutions
- Cost-reduction initiatives
- Hardware and firmware updates
- Regulatory documentation updates
To respond effectively, teams need to understand the product as it existed at the time of manufacture. Without a reliable product history, investigating a field problem can become an exercise in a sort of “digital archaeology.” Engineers end up having to scour old folders, message former employees, or compare disparate spreadsheets in an attempt to reconstruct what happened.
How PLM contributes during service and support
Your PLM will preserve the product structure and change history needed to maintain hardware after launch. If, for example, a component must be replaced, engineers can see where it is used before approving a substitute. If a quality issue requires a design change, the associated documentation, review, and approval history can remain connected to the affected product.
This product record becomes a form of organizational memory or digital thread. That continuity is especially important for long-lived products in aerospace, industrial automation, medical technology, energy, transportation, and other industries where support obligations can extend far beyond the initial development program.
5. Retirement
A company may retire a product because customer demand has declined, a newer model has replaced it, or continued production and support are no longer economical.
Typical retirement activities include:
- End-of-life planning
- Final production runs
- Last-time component purchases
- Customer and supplier notifications
- Spare-parts planning
- Migration to a replacement product
- Support sunset
- Preservation of required records
- Formal lifecycle status changes
Retirement is easy to overlook because the product is no longer a growth priority. But ending production does not make the company’s responsibilities disappear. After all, your customers may continue operating the product for years. Your service teams may still need drawings and replacement-part information. Regulated companies may be required to retain product and approval records long after the last unit was manufactured.
How PLM contributes during retirement
Instead of letting product knowledge disappear into archived folders, your company retains a clear record of the final approved design and the changes that led to it in the PLM. Teams can distinguish obsolete products and components from active ones without deleting information that may still be needed.
How to manage a long and complicated product life cycle
A consumer device with a short market window presents different challenges than an industrial control system expected to operate for 20 years. But both benefit from the same underlying strategy: create a connected product record, control important changes, and make trustworthy information available to every team that needs it.
Create a single source of truth
Product information will naturally originate in many different tools. Mechanical engineers work in MCAD. Electrical engineers work in ECAD. Supply-chain teams use procurement systems. Manufacturing relies on ERP and MES. Quality teams may use a QMS.
PLM provides an authoritative source for the product itself by connecting parts, BOMs, revisions, statuses, documentation, and changes. When different systems disagree, the organization knows which product record is authoritative.
Build the product record early
Engineering teams often delay implementing lifecycle processes because their products do not yet seem complicated enough to require them. By the time the need becomes obvious, the company may already have years of giant Excel spreadsheets to untangle.
Lifecycle management should begin while the product structure is still manageable. That doesn’t mean forcing a startup or early development team into a slow enterprise process. Modern PLM should provide enough structure to maintain reliable data while allowing engineers to continue moving quickly.
Treat the life cycle as a feedback loop
Manufacturing discoveries should inform design improvements. Field failures should influence future revisions. Supply-chain constraints should affect component selection. Lessons from a retired product should shape its replacement.
Effective lifecycle management connects those loops. It gives each team access to the information created before it and provides a controlled way to send new information back into engineering.
Establish lightweight governance
The word “governance” can sound bureaucratic, but the purpose is practical: remove ambiguity before ambiguity becomes expensive. In this sense, companies should define basic rules for part numbering, revision control, lifecycle statuses, BOM ownership, design releases, and change approvals.
Engineers should not have to debate how to identify a new part every time one is created. The process matters, and the process is often what requires the most oversight and management. Clear, repeatable rules reduce decision fatigue and allow routine work to move faster.
Preserve context, not just files
A folder full of drawings is not a complete product history. Future teams need to know why a change occurred, what information supported it, who approved it, and what else it affected. That context is essential when investigating quality issues, qualifying component substitutions, or revisiting an old design.
A strong product record captures the relationships between parts, products, documents, revisions, and decisions.
Plan for change from the beginning
The right question is not whether the product will change. It is whether the company can make those changes quickly without losing control of what is being built.
A well-designed change process provides visibility and traceability without creating unnecessary delays. It allows the right people to review a proposal, understand its impact, approve it, and communicate the result across the organization.
Use PLM as your product’s operational backbone
In a nutshell, product data grows faster than you expect so your team needs a “hub of truth and operational logistics.” A modern PLM platform helps hardware teams:
- Centralize parts, BOMs, and product documentation
- Connect mechanical and electrical design data
- Manage revisions and lifecycle statuses
- Standardize product and component records
- Run traceable change and approval workflows
- Understand where parts and components are used
- Coordinate engineering, manufacturing, sourcing, and quality
- Integrate product data with the broader hardware technology stack
- Preserve product knowledge from development through retirement
By maintaining a digital thread across the entire product life cycle, your teams can move faster without sacrificing the control that physical products require.
Manage the entire journey with Duro
A successful launch is a major achievement, but it represents only one moment in the life of a product. Managing the entire life cycle is crucial to the efficiency and success of both the product and the company as a whole.
With the right processes and a modern PLM platform like Duro, hardware companies can spend less time searching for information, correcting avoidable mistakes, and reconstructing past decisions. Engineers can focus on solving problems, manufacturing can build with confidence, and the organization can maintain control of the product from its first concept to its final revision.
See how Duro can help your team manage the complete product life cycle.
Frequently asked questions about the product life cycle
What are the five stages of a product life cycle?
From a hardware engineering perspective, the five primary stages are ideation, design and development, manufacturing and launch, service and support, and retirement. Together, they cover the product’s journey from its earliest concept through the end of production and support.
How long does a hardware product life cycle last?
A hardware product life cycle can last anywhere from a few years to several decades. Consumer electronics may be replaced quickly, while aerospace, industrial, energy, medical, and infrastructure products may remain in operation for many years. The expected lifespan affects decisions about component sourcing, documentation, maintenance, compliance, and spare parts.
What is the difference between a product life cycle and product lifecycle management?
The product life cycle is the journey a product takes from ideation to retirement. Product lifecycle management, or PLM, is the discipline and software used to manage the product’s data, processes, revisions, and changes throughout that journey.
What is the difference between the product life cycle and the product development lifecycle?
The product development lifecycle primarily covers the work required to create and launch a product. The product life cycle is broader. It includes development, but also extends into manufacturing, field support, ongoing revisions, and eventual retirement.
Why is the product life cycle more complicated for hardware?
Hardware products depend on physical parts, suppliers, manufacturing processes, tooling, documentation, and inventory. Design changes can affect items that have already been purchased or manufactured, and correcting an error may require physical rework. Hardware must also contend with component obsolescence, long lead times, regulatory requirements, and products that remain in service for years.
Do product life cycle stages always happen in order?
Not necessarily. Although the stages provide a useful framework, hardware development is iterative. A production problem may send a product back into design, a field issue may require a new revision, and a component shortage may force engineers to reconsider an earlier sourcing decision. Effective lifecycle management supports these feedback loops.
What role does a bill of materials play in the product life cycle?
The bill of materials, or BOM, defines the parts and assemblies required to build a product. It evolves from a preliminary structure during development into a controlled production record. During service and support, the BOM helps teams identify where components are used, evaluate changes, and maintain the correct product configurations.
When should a hardware company implement PLM?
A company should consider PLM before product data becomes difficult to control. Warning signs include conflicting BOM spreadsheets, unclear revisions, duplicated part numbers, slow change approvals, frequent manufacturing errors, and too much product knowledge living with individual employees. Implementing PLM earlier can prevent these problems from becoming embedded in the organization.
How does PLM support engineering change management?
PLM connects a proposed change to the affected parts, products, BOMs, documents, and revisions. It gives reviewers the context needed to evaluate the change and records who approved it and why. Once approved, the updated information can be communicated to manufacturing and other downstream teams through a controlled process.
What happens when a product reaches end of life?
End-of-life activities may include final production runs, last-time component purchases, supplier and customer notifications, spare-parts planning, support transitions, and formal product retirement. Even after production ends, companies may need to preserve product records for service, quality, contractual, or regulatory reasons.
How does Duro help manage the product life cycle?
Duro centralizes parts, BOMs, revisions, product documentation, sourcing information, and engineering changes. It connects product data across engineering and downstream systems, providing a traceable digital thread from development through manufacturing, support, and retirement. This helps hardware teams move faster while maintaining control over what is designed, approved, and built.