A practical framework for evaluating ERP, architecture, vendors, AI, implementation risk and long-term fit in complex semiconductor operations.  

TL;DR  

ERP for semiconductor manufacturing should provide a scalable enterprise backbone across finance, supply chain, planning, manufacturing, quality and assets while integrating cleanly with specialist systems such as MES and PLM. The best choice depends on operating model, asset intensity, growth plans, existing architecture and the level of semiconductor-specific execution that must remain in specialist systems.  

Who this guide is for  

COOs, CIOs, CFOs, manufacturing and operations leaders, supply chain teams, reliability and asset leaders, transformation teams and ERP program owners evaluating enterprise software for IDMs, foundries, OSATs, specialty semiconductor manufacturers or rapidly scaling semiconductor businesses.  

Table of contents  

1. Why semiconductor manufacturers need industry-fit ERP software  

2. Core capabilities to evaluate  

3. Key evaluation criteria: what to prioritize  

4. Integrated suite vs best-of-breed: the core architectural decision  

5. The vendor landscape for semiconductor manufacturers  

6. Capability alignment matrix  

7. The role of AI, agents and digital workers  

8. KPIs to measure success  

9. Implementation, cost and risk  

10. Evaluation checklist and RFP questions  

11. Semiconductor ERP terminology glossary  

12. Frequently asked questions  
 

1. Why semiconductor manufacturers need industry-fit ERP software  

ERP for semiconductor manufacturing is the enterprise layer that connects finance, procurement, supply chain, planning, manufacturing, quality, assets and other business processes while exchanging data with specialist systems used for product engineering and factory execution. It should help the business coordinate decisions across functions without assuming that one enterprise platform must replace every specialist semiconductor application.  

The semiconductor market is expanding rapidly as AI infrastructure, accelerated computing, communications, automotive and other technology markets increase chip demand. The Semiconductor Industry Association, citing WSTS, projected worldwide semiconductor sales to exceed $1.5 trillion in 2026. Growth creates opportunity, but it also raises the cost of operational delay, fragmented decisions and systems that cannot scale with the business.  

For semiconductor manufacturers, speed is not simply a production metric. Competitive advantage depends on how quickly the organization can translate engineering and market change into financially controlled, repeatable operations while protecting quality, supply continuity and the availability of expensive production assets

Not every semiconductor operating model needs the same ERP  

An integrated device manufacturer (IDM), a foundry, an outsourced semiconductor assembly and test provider (OSAT), a specialty semiconductor manufacturer and a fabless company do not have identical requirements. Their ERP evaluations should reflect how they make money, where production occurs, which assets they own and which processes are outsourced.  

Operating model  Typical profile  ERP implications  
IDM  Designs and manufactures its own semiconductor products  Multi-site operations, manufacturing, supply, asset reliability, quality, financial control and integration with MES/PLM.  
Foundry  Manufactures chips for external customers  Capacity, customer and supply coordination, asset-intensive operations, planning, finance and specialist fab execution integration.  
OSAT  Provides outsourced assembly, packaging and test  Production planning, customer programs, quality, traceability, inventory, multi-site execution and cost control.  
Specialty manufacturer  Produces focused semiconductor technologies such as power, analog, sensors or photonics  Scalability, quality, planning, engineering change, asset reliability and supply-chain control.  
Fabless company  Designs chips but outsources fabrication  Finance, supply, partner visibility, product and commercial processes; manufacturing and EAM depth may be less central.  

  

Why generic back-office ERP is often not enough  

A semiconductor company may be able to run finance on a generic ERP, but a broader transformation usually requires more. The enterprise platform needs to coordinate supply, planning, manufacturing, quality, assets and cost while fitting around specialized applications that execute semiconductor processes.  

  • Frequent engineering and product changes can affect materials, planning, production, quality and customer commitments.  
  • Capital-intensive production means equipment availability and maintenance decisions can have direct capacity and financial consequences.  
  • Complex, global supply networks make demand, procurement, inventory and production decisions interdependent.  
  • Multi-site growth, acquisitions or new facilities can expose inconsistent master data, processes and reporting.  
  • Specialist semiconductor MES and engineering applications may remain essential, making integration architecture a first-class buying criterion.  

Where ERP should sit in the semiconductor technology stack  

The most useful way to evaluate ERP is not to ask whether it can do everything. Instead, decide which processes should be governed at enterprise level, which require specialist depth and how data and decisions should move between systems.  

In most complex semiconductor environments, ERP should own or coordinate enterprise finance, procurement, supply, business planning, cost, inventory, multi-site governance and wider operational processes. MES usually governs detailed factory execution. PLM governs product and engineering lifecycle information. EAM governs maintenance and lifecycle management of critical production assets.  

A strong semiconductor manufacturing software strategy therefore depends on architecture as much as feature breadth: the goal is a connected operating model with clear ownership of data, workflows and decisions.  

2. Core capabilities to evaluate  

Enterprise resource planning (ERP) should be evaluated as an operational foundation, not just a finance replacement. The following capabilities are the most important starting points for semiconductor manufacturers.  

Financial management and cost control  

Semiconductor growth can involve major capital programs, complex inventory, global entities and rapidly changing cost structures. ERP should connect operational activity to financial outcomes, support multi-entity control and give decision-makers a consistent view of cost, margin, working capital and investment.  

Supply chain and procurement  

Semiconductor supply networks are global and interdependent. Buyers should evaluate supplier management, purchasing, inventory visibility, demand and supply coordination, lead-time management and the ability to respond when constrained materials or suppliers put production commitments at risk.  

Planning and scheduling  

ERP-level planning should connect demand, supply, capacity, materials and business priorities. It does not necessarily replace detailed fab dispatching or specialist scheduling, but it should help the organization understand trade-offs and synchronize plans across sites and functions.  

Manufacturing operations  

The platform should support the production models relevant to the business, including multi-site manufacturing and controlled execution of enterprise manufacturing processes. Buyers should be explicit about which activities belong in ERP and which remain in semiconductor MES.  

Quality management  

Quality processes should connect to suppliers, materials, production, cost and customer impact. Semiconductor-specific process control and wafer-level data may remain in MES or specialist quality systems, so the evaluation should focus on enterprise quality governance and integration.  

Asset reliability and maintenance  

In asset-intensive fabs, the condition and availability of production equipment directly affect capacity. ERP evaluations should consider whether maintenance, spare parts, work management, procurement and production priorities can be coordinated rather than managed in isolation.  

Multi-site and global operations  

A platform should support common governance, master data, financial control and reporting while allowing legitimate site-level differences. This becomes especially important during acquisitions, new-fab launches or international expansion.  

Integration and APIs  

Semiconductor ERP rarely operates alone. Integration with MES, PLM, warehouse, automation, data platforms, suppliers and other systems should be designed as part of the target architecture, not left to the end of implementation.  

Service and warranty where relevant  

For companies that also provide equipment, service or warranty-intensive offerings, ERP should connect manufacturing and customer lifecycle processes. This is more relevant to semiconductor equipment and service businesses than to every wafer fab.  

AI and decision support  

AI should improve specific operational decisions or reduce manual work. Buyers should ask which workflows are supported, what data the models use, how recommendations are governed and how value will be measured.  

For asset-intensive semiconductor operations, enterprise asset management (EAM) can be as strategically important as ERP because equipment availability, maintenance prioritization, spare parts and production commitments are tightly connected.  

3. Key evaluation criteria: what to prioritize  

The best ERP for a semiconductor manufacturer is the platform that fits the company’s operating model, architecture and growth path with the least unnecessary complexity. A long feature list is less useful than a disciplined evaluation of fit, integration, scalability and execution risk.  

Criterion  Questions to ask  
Operating-model fit  Does the platform fit an IDM, foundry, OSAT, specialty or fabless model? Which processes are genuinely proven for your type of business?  
Architecture fit  Can ERP coexist cleanly with the MES, PLM, automation and data platforms you intend to keep?  
Manufacturing fit  Does the ERP support the production and planning processes that belong at enterprise level without forcing specialist fab execution into the wrong system?  
Asset intensity  If equipment availability constrains output, can maintenance, spares, procurement, cost and production priorities be coordinated?  
Speed and agility  How easily can the business respond to new products, engineering change, supply disruption, site expansion and shifting production priorities?  
Multi-site scalability  Can processes be standardized across sites while preserving necessary local execution?  
Data and integration  Are APIs, event models, master-data ownership and integration patterns clear? What is the operating model for data quality?  
AI readiness  Are AI capabilities embedded in relevant workflows, auditable and measurable, or are they primarily generic assistants?  
Implementation model  What is the realistic path to value? Which capabilities can be phased without creating temporary fragmentation?  
Total cost and governance  What will licensing, integration, data migration, specialist extensions, support and long-term change cost over the life of the platform?  

  

Buying trigger: growth exposes the limits of the current stack  

Many ERP selections begin when the business reaches a point of operational change: a new fab, capacity ramp, acquisition, international expansion, funding milestone, ERP end-of-life event or a need to standardize across sites. The best time to define architecture is before complexity becomes the implementation constraint.  

4. Integrated suite vs best-of-breed: the core architectural decision  

For semiconductor manufacturers, the architecture decision is rarely a simple choice between one integrated suite and a collection of specialist tools. A hybrid model is often more practical: use specialist systems where semiconductor process depth is essential and a connected enterprise platform where common data, planning, finance, assets and cross-functional workflows create value.  

Approach  Strengths  Risks  Best fit  
Integrated enterprise suite  Shared data, consistent workflows, fewer enterprise handoffs, simpler governance.  May not replace deep specialist semiconductor MES or engineering tools.  Companies seeking a strong enterprise backbone across finance, supply, manufacturing, assets and operations.  
Best-of-breed stack  Deep specialist capability in each domain.  More interfaces, master-data dependencies and process fragmentation to manage.  Organizations with highly differentiated processes and strong integration/data engineering capability.  
Hybrid architecture  Specialist execution where required plus a connected enterprise platform for cross-functional control.  Requires deliberate system-of-record decisions and integration governance.  Often the most realistic model for complex semiconductor manufacturers.  

  

ERP and MES: complementary, not interchangeable  

MES is designed to manage detailed manufacturing execution. In semiconductor environments, specialist MES platforms may handle work-in-process, lot or wafer tracking, process routes, equipment interaction, recipe management, detailed genealogy and other execution requirements. ERP typically manages enterprise planning, materials, procurement, cost, finance and broader operational control.  

Siemens positions its semiconductor MES for both wafer fabrication and assembly/test and highlights interoperability with PLM, APS, ERP and shop-floor controllers. Critical Manufacturing similarly describes real-time synchronization between semiconductor MES and ERP. These examples reinforce an important buying principle: integration quality matters more than forcing one system to own every layer of execution.  

ERP and PLM: connect the product definition to execution  

PLM manages product definition, engineering lifecycle information and change. ERP consumes relevant product and change information so that planning, procurement, manufacturing, cost and downstream operations can act on it.  

Important IFS boundary  

IFS does not offer a PLM product. Semiconductor manufacturers that require PLM should plan for integration with an existing or selected PLM platform. IFS should be evaluated on how well its enterprise, manufacturing, asset and operational processes connect, consume and approve changes from the PLM platform.  

ERP and EAM: protect the capacity you already own  

Where production equipment is a major constraint, asset management should not sit outside the ERP decision. Maintenance windows, spare parts, procurement, labor, condition, cost and production priorities all compete for the same operational resources. Connecting them can improve the quality and speed of decisions around equipment availability.  

5. The vendor landscape for semiconductor manufacturers  

There is no single ERP platform that is best for every semiconductor manufacturer. The shortlist should reflect company size, operating model, existing systems, asset intensity, global complexity and the specialist manufacturing applications that will remain in place.  

Vendor  Typical positioning  Strengths to explore  Buyer considerations  
IFS Cloud  Complex, asset-intensive and multi-site manufacturers seeking ERP, manufacturing, supply chain, EAM, service and Industrial AI on a connected enterprise platform.  Particularly relevant where asset reliability and wider operational coordination are strategic. IFS public manufacturing positioning brings ERP, MES, EAM, supply chain and Industrial AI together.  IFS does not offer PLM. Do not assume IFS replaces every specialist semiconductor MES requirement; validate integration and semiconductor-specific execution scope.  
SAP S/4HANA Cloud  Large global enterprises prioritizing standardization, financial governance and a broad SAP manufacturing ecosystem.  Strong enterprise footprint; SAP also offers manufacturing and high-tech capabilities and has public semiconductor customer examples such as LX Semicon.  Buyers should map which capabilities sit in S/4HANA, SAP manufacturing products, PLM and specialist solutions, and assess implementation complexity.  
Oracle Fusion Cloud  Global high-tech and semiconductor companies seeking integrated ERP, SCM, planning and PLM capabilities.  Oracle maintains dedicated semiconductor industry positioning across IDMs, foundries, OSATs and fabless companies.  Detailed semiconductor execution often involves specialist or partner solutions; buyers should validate MES architecture and integration.  
Infor CloudSuite  Manufacturers valuing industry-oriented ERP and high-tech/electronics capabilities.  Infor has a dedicated High Tech & Electronics CloudSuite and public semiconductor-equipment manufacturing references; PLM and MES products are available in its wider portfolio.  Fit should be tested against the specific semiconductor operating model and fab-execution depth required.  
Epicor Kinetic  Mid-market and growth-oriented electronics, high-tech, semiconductor and microelectronics manufacturers.  Public positioning emphasizes production scheduling, quality, traceability, inventory and scalable manufacturing ERP.  Buyers with very large global footprints, advanced fabs or extensive asset-management requirements should validate depth, scale and specialist integrations.  
Microsoft Dynamics 365  Organizations prioritizing Microsoft ecosystem alignment and flexible partner-led extension.  Dynamics 365 provides finance and supply-chain foundations; Microsoft and partners have public high-tech and semiconductor examples, including fabless models.  Industry depth can depend on partner solutions. PLM, specialist fab MES and semiconductor execution should be treated as separate architecture decisions.  

  

Where IFS fits, and its boundaries  

IFS is most relevant where high tech and electronics manufacturing requires more than finance and transactions: multi-site manufacturing, supply, critical asset management, service or other complex operational processes need to work from a connected platform.  

IFS Cloud spans ERP, EAM, supply chain and field service, and IFS publicly positions its manufacturing platform around connected ERP, MES, EAM, supply chain and Industrial AI. That breadth can be differentiated in semiconductor environments where production capacity depends on critical assets and where enterprise decisions cross functional boundaries.  

The boundaries matter. IFS does not offer PLM. Semiconductor manufacturers should not treat IFS as a substitute for specialist product-lifecycle engineering tools. Likewise, manufacturers with deep wafer-fab or assembly/test MES requirements should validate exactly which execution functions should remain in a specialist semiconductor MES and how those systems will integrate with IFS.  

IFS has relevant semiconductor-ecosystem proof rather than a large public semiconductor fab reference base. For example, Gigaphoton, a manufacturer of light sources used in semiconductor lithography, selected IFS Cloud for manufacturing and field service. Buyers should distinguish that ecosystem experience from proof of running a wafer fab and ask for references that match their own operating model.  

6. Capability alignment matrix  

A capability alignment matrix helps prevent the ERP project from becoming an unrealistic attempt to replace every specialized system. Use it to decide the intended system of record, the integrations required and where semiconductor-specific depth must be preserved.  

Capability  Typical system layer  Likely system of record  Evaluation note  
Finance, accounting and enterprise cost  ERP  ERP  Core enterprise responsibility; connect operational activity to financial outcomes.  
Procurement and supplier management  ERP/SCM  ERP/SCM  Coordinate materials, suppliers, cost and enterprise planning.  
Enterprise demand/supply planning  ERP/SCM/APS  ERP or connected planning  Define scope between business planning and detailed fab scheduling.  
Detailed fab execution and WIP  Semiconductor MES  MES  Often includes highly specialized process routing, tracking and execution.  
Wafer/lot genealogy and recipe execution  Semiconductor MES  MES  Do not assume generic ERP traceability replaces semiconductor execution depth.  
Product definition and engineering lifecycle  PLM  PLM  IFS does not provide PLM; integration is required where PLM is part of the stack.  
Maintenance and asset lifecycle  EAM  EAM  Critical where equipment availability constrains capacity.  
Enterprise quality governance  ERP/QMS  Shared  Detailed process quality may sit in MES/QMS; enterprise events and cost may sit in ERP.  
Inventory and warehouse control  ERP/WMS  ERP or WMS  Decide level of warehouse automation and specialist execution required.  
Field service and warranty  FSM/ERP  FSM/ERP  Relevant to service-enabled semiconductor equipment or product businesses.  
Industrial AI and decision support  Embedded apps/data platform  Shared  Evaluate workflow context, governance, data access and measurable use cases.  

  

Architecture questions buyers should settle early  

  • Which system owns product master data, and how is approved engineering change published downstream?  
  • Which system owns detailed manufacturing routing and WIP status?  
  • Where are asset hierarchies, maintenance plans and equipment history mastered?  
  • How are materials, inventory, purchase orders and production demand synchronized between ERP and MES?  
  • What data must be real time, near real time or batch?  
  • How will identity, security, audit and data governance work across the stack?  
  • Which integrations are strategic products versus custom interfaces that the company must maintain?  

7. The role of AI, agents and digital workers  

Industrial AI should be evaluated by the operational decision it improves, not by the number of AI features in a vendor demonstration.  

Semiconductor manufacturers have high-value use cases for AI, but many of the hardest problems cross systems. A scheduling decision may depend on supply, capacity, equipment condition and customer priority. A maintenance decision may affect production commitments and inventory. AI therefore becomes more useful when it can access trusted operational context and trigger governed action.  

Use case  Potential value  Evaluation question  
Planning and schedule response  Identify constraints, model alternatives, prioritize responses and surface exceptions.  What decisions can AI recommend or automate, and which data sources does it use?  
Asset reliability  Prioritize maintenance, identify risk and connect asset condition with operational impact.  Can asset recommendations be evaluated against production and service commitments?  
Supply risk  Identify shortages or supplier risks and support scenario planning.  Can users see the reason for a recommendation and the downstream impact?  
Quality and operational exceptions  Summarize issues, find patterns and accelerate investigation.  Does the AI operate on governed quality/process data, and what remains in specialist MES/QMS analytics?  
Knowledge and digital workers  Help users find procedures, summarize context and complete routine workflows.  How are permissions, auditability and human approval handled?  

  

What to ask about AI in an ERP evaluation  

  • Is the AI embedded in the business workflow or delivered as a separate assistant?  
  • Which source data does it use, and can the buyer control that data access?  
  • Can recommendations be explained and audited?  
  • Where can AI take action automatically, and where is human approval required?  
  • How are permissions inherited from the underlying applications?  
  • Can the company measure cycle time, cost, uptime, schedule or productivity improvements linked to the use case?  
  • Does the vendor distinguish proven functionality from roadmap concepts? 

8. KPIs to measure success  

ERP success should be measured in business and operational outcomes, not simply whether the system went live. Define a baseline before implementation and assign each KPI to a process owner.  

Outcome area  Example KPIs  How to interpret  
Financial control  Close cycle time; cost visibility; working capital; inventory value; budget variance  ERP should improve consistency and decision visibility.  
Supply chain  Supplier on-time delivery; lead-time adherence; shortage exposure; inventory turns  Measure resilience as well as cost.  
Planning  Schedule adherence; planning cycle time; expedites; plan stability  Separate enterprise planning metrics from detailed MES dispatch metrics.  
Manufacturing  Throughput; cycle time; on-time completion; constraint visibility  ERP can support coordination; detailed process metrics may remain in MES.  
Assets  Asset availability; unplanned downtime; MTBF; MTTR; planned vs unplanned maintenance  Especially important for asset-intensive fabs.  
Quality  Cost of quality; nonconformance cycle time; supplier quality; escape rate  Yield and process control may be primarily MES/QMS metrics.  
Engineering change  Change cycle time; downstream errors; time from approved change to operational readiness  Requires effective PLM-to-ERP/MES integration.  
Growth and standardization  Time to onboard a site/entity; master-data consistency; process adoption  Useful for acquisitions and new facilities.  

  

Be careful with yield claims  

Yield is one of the most important semiconductor metrics, but ERP should not be presented as the sole system controlling yield. Detailed process control, wafer-level data, metrology and execution analytics often sit in MES or specialist systems. ERP can connect yield-related operational and financial context, but buyers should define the contribution realistically.  

9. Implementation, cost and risk  

The implementation risk in semiconductor ERP is driven less by the software alone than by scope, integration, data, process standardization and the number of critical systems being changed at the same time. A fast implementation can be valuable; a rushed architecture usually is not.  

Define scope before selecting the implementation path  

Start by distinguishing the enterprise processes that must change from the specialist systems that will remain. A first phase might focus on finance, procurement, inventory, supply, core manufacturing and common master data while preserving a proven MES or PLM. Other capabilities can be added when the operating foundation is stable.  

The biggest cost drivers  

  • Software subscription or licensing and the modules required.  
  • System integration, especially MES, PLM, warehouse, automation, supplier and data-platform interfaces.  
  • Data cleansing, migration and master-data redesign.  
  • Process redesign and the degree of global standardization required.  
  • Custom extensions and semiconductor-specific gaps.  
  • Testing across production-critical interfaces.  
  • Change management, training and adoption.  
  • Ongoing support, upgrades, integration maintenance and cloud/infrastructure choices.  

The biggest project risks  

Risk  What it looks like  Mitigation  
Over-scoping ERP  Trying to force specialist fab or engineering processes into ERP because the project is labeled ‘single platform’.  Define system responsibilities before vendor selection.  
Under-scoping integration  Treating MES/PLM interfaces as technical details rather than core business architecture.  Prototype critical data flows and ownership early.  
Poor master data  Migrating inconsistent parts, suppliers, routings, assets and financial structures.  Create data governance and cleansing workstreams before cutover.  
Excessive customization  Recreating legacy processes instead of deciding where standardization creates value.  Use configuration and extensions selectively; require business justification.  
Weak asset/process coordination  Separating maintenance transformation from manufacturing transformation in asset-intensive operations.  Include reliability and maintenance leaders in design decisions.  
AI without foundations  Adding AI before data, workflows and decision rights are clear.  Prioritize use cases after core process and data design.  

  

Questions to ask about implementation partners  

  • How many semiconductor or closely adjacent high-tech implementations has the team delivered?  
  • Which roles on the project have direct manufacturing, MES, PLM or asset-management experience?  
  • Who owns integration design and long-term support?  
  • How will process decisions be documented and governed?  
  • What is the escalation path when a product gap is discovered?  
  • How are performance, cutover and production-critical interfaces tested?  

10. Evaluation checklist and RFP questions  

A good semiconductor ERP RFP tests operating-model fit and architecture, not just feature availability. Use the questions below to compare vendors consistently and expose assumptions before they become implementation risks.  

Industry and operating-model fit  

  • Which semiconductor operating models does your solution support today: IDM, foundry, OSAT, specialty manufacturing and/or fabless?  
  • Provide references that match our operating model, production complexity and company scale.  
  • Which semiconductor-specific requirements are native, configurable, partner-delivered or custom?  
  • Which use cases do you explicitly recommend keeping in specialist systems?  

ERP and manufacturing  

  • How do finance, procurement, inventory, planning, manufacturing and quality share data?  
  • How does the platform support multi-site and multi-country manufacturing?  
  • How are product changes, material changes and manufacturing changes reflected in planning and execution?  
  • What production models are supported without custom development?  

MES integration  

  • Which semiconductor MES products have you integrated with in production environments?  
  • What standard APIs, events or integration patterns are available?  
  • How are production orders, materials, WIP status, completions, scrap and quality events synchronized?  
  • How is interface failure handled without disrupting production?  

PLM and engineering  

  • How does the platform consume approved product structures and engineering changes from PLM?  
  • What product and engineering data should be mastered in ERP versus PLM?  
  • How are revisions, effectivity and downstream operational impacts governed?  
  • If you do not provide PLM, which integrations or patterns do you support?  

Assets and maintenance  

  • Can maintenance priorities be evaluated alongside production requirements?  
  • How are asset hierarchies, maintenance plans, spares, procurement and work execution connected?  
  • What predictive or condition-based maintenance capabilities are available?  
  • How are maintenance and asset costs connected to enterprise financial reporting?  

Supply chain and planning  

  • How does the platform manage long lead times, supplier constraints and material shortages?  
  • Can planners model scenarios across demand, supply, inventory and capacity?  
  • How are supplier risks and production consequences surfaced?  
  • What is handled natively versus through an additional planning product?  

AI and automation  

  • Which AI capabilities are generally available today and which are roadmap items?  
  • What operational data can the AI access and how are permissions enforced?  
  • Which decisions can be recommended, automated or approved by users?  
  • How do you measure business value from AI use cases?  

Implementation and commercial model  

  • What implementation scope would you recommend for our first release and why?  
  • Which integrations or extensions typically drive the most effort?  
  • How are upgrades handled when custom extensions or integrations exist?  
  • What are the main licensing, platform, integration and support cost drivers over five years?  

11. Semiconductor ERP terminology glossary  

Term  Definition  
ERP  Enterprise resource planning: software that coordinates enterprise processes such as finance, procurement, inventory, planning and manufacturing.  
MES  Manufacturing execution system: software that manages detailed production execution, work-in-process and shop-floor activities.  
PLM  Product lifecycle management: software for product definition, engineering data, revisions and change across the product lifecycle.  
EAM  Enterprise asset management: software for managing asset hierarchies, maintenance, work, cost, reliability and lifecycle performance.  
IDM  Integrated device manufacturer: a semiconductor company that designs and manufactures its own semiconductor products.  
Foundry  A semiconductor manufacturer that fabricates chips for external customers.  
OSAT  Outsourced semiconductor assembly and test provider: a company specializing in packaging, assembly and testing services.  
Fabless  A semiconductor company that designs chips while outsourcing physical fabrication.  
Fab  A semiconductor fabrication facility where wafer-processing steps are performed.  
WIP  Work in process: material that has entered production but is not yet finished.  
Lot  A controlled group of wafers or units processed and tracked together.  
Genealogy  The traceable relationship between materials, lots, process steps and resulting products.  
Yield  The proportion of usable output produced from a manufacturing process; detailed yield control and analysis usually depend on MES/process data.  
OEE  Overall equipment effectiveness: a measure combining availability, performance and quality to assess how effectively equipment is used.  
MTBF  Mean time between failures: a reliability metric estimating average operating time between equipment failures.  
MTTR  Mean time to repair: the average time required to restore equipment after failure.  
Engineering change  A controlled change to product definition, materials, design or instructions that may affect downstream planning and execution.  
APS  Advanced planning and scheduling: software used to model and optimize production or supply plans under constraints.  
System of record  The authoritative system that owns a defined type of data or transaction within the enterprise architecture.  

12. Frequently asked questions  

What is ERP for semiconductor manufacturing?  

ERP for semiconductor manufacturing is the enterprise software layer that connects finance, procurement, supply chain, planning, manufacturing, quality and other business processes. In complex semiconductor environments, it typically works alongside specialist systems such as MES and PLM rather than replacing every factory or engineering application.  

What is the best ERP for semiconductor manufacturing?  

There is no single best ERP for every semiconductor manufacturer. The right platform depends on operating model, company size, asset intensity, global footprint, existing MES and PLM systems, planning needs, and how much industry-specific execution must remain in specialist software.  

Do semiconductor manufacturers need both ERP and MES?  

Many do. ERP manages enterprise processes such as finance, procurement, supply, planning and cost, while MES manages detailed factory execution. The key evaluation question is how reliably the two systems exchange production, material, quality and status information.  

Can ERP replace a semiconductor MES?  

Usually not when the manufacturer relies on deep semiconductor-specific execution such as wafer or lot tracking, complex process routes, recipe management and detailed shop-floor control. ERP can coordinate enterprise manufacturing and business processes, while specialist MES continues to execute the fab.  

How should ERP integrate with PLM?  

PLM should remain the authoritative environment for product and engineering lifecycle information. Approved product structures, revisions and engineering changes should flow to ERP and downstream manufacturing systems through governed integrations. IFS does not offer PLM, so this integration should be designed explicitly when PLM is required.  

What should semiconductor manufacturers look for in ERP?  

Prioritize operating-model fit, manufacturing and supply-chain capability, multi-site scalability, asset management where equipment is critical, clean MES and PLM integration, strong financial control, data governance and a realistic implementation model.  

What ERP capabilities matter for a new or scaling semiconductor manufacturer?  

Start with financial control, procurement, inventory, supply planning, core manufacturing processes, quality, master data and integration. The platform should support growth without forcing a future replacement when the company adds sites, capacity, more complex planning or asset-management requirements.  

How does asset management fit into semiconductor manufacturing?  

In asset-intensive fabs, equipment availability can constrain capacity. EAM connects maintenance plans, work, spare parts, asset history and cost, helping operations and reliability teams make maintenance decisions with a clearer view of production consequences.  

How is AI used in semiconductor ERP?  

AI can support planning, exception management, supply-risk analysis, maintenance prioritization, knowledge work and other operational decisions. Buyers should ask whether capabilities are generally available, which data they use, how decisions are governed and how value is measured.  

How should a semiconductor manufacturer evaluate ERP implementation risk?  

Focus on architecture, data, integration, scope and change management. The highest-risk projects often try to replace too many specialist systems at once, underestimate MES or PLM integration, migrate poor master data or customize the new ERP to reproduce legacy processes.