Connect981 – Content Dev

RSC Topic: Document Control & Version Governance

Change control, approvals, and access rights across workflows.

PLM

Core meaning

PLM (Product Lifecycle Management) commonly refers to the coordinated management of all product-related data, decisions, and processes across the entire lifecycle of a product, from initial concept and design through engineering, manufacturing, in-service support, and retirement.

In industrial and regulated manufacturing environments, PLM is typically implemented as an enterprise system that acts as a central source of truth for product definitions and related change processes.

What PLM typically includes

PLM usually encompasses:

– **Product definition data**: CAD models, drawings, specifications, bills of materials (BOMs), software versions, and configuration data.
– **Engineering change control**: Engineering change requests (ECRs), engineering change orders (ECOs), and controlled release of revisions.
– **Configuration management**: Structures and rules that define which parts, materials, documents, and options belong to a given product configuration or variant.
– **Document and record management**: Controlled storage, versioning, review, and approval of design and product-related documents.
– **Collaboration workflows**: Cross-functional workflows between R&D, engineering, manufacturing, quality, and supply chain for reviewing and approving product changes.
– **Lifecycle states**: Management of product and component states (e.g., draft, under review, released, obsolete) over time.

How PLM is used in manufacturing workflows

In practice, PLM systems are used to:

– Author and maintain **engineering bills of materials (eBOMs)** and related design documentation.
– Control and approve **product changes** before they are propagated to manufacturing systems.
– Provide a **single, controlled source** of product definitions that downstream systems (such as ERP and MES) consume.
– Support **design history and traceability**, including why and when certain design or configuration decisions were made.
– Coordinate **multi-site and multi-supplier** product data, ensuring consistent definitions across locations.

In regulated industries (such as aerospace, life sciences, and automotive), PLM is often a key part of design history, configuration control, and documentation required to support audits and regulatory scrutiny.

Relationship to MES, ERP, and other systems

PLM is distinct from but tightly connected to other enterprise systems:

– **PLM vs MES (Manufacturing Execution System)**: PLM manages *what* the product is (design intent, product structure, and revisions). MES manages *how* the product is built on the shop floor (routing, execution records, process parameters, and in-process quality data). MES often consumes product definitions and revisions originating in PLM.
– **PLM vs ERP (Enterprise Resource Planning)**: PLM focuses on product definition and engineering change, whereas ERP focuses on planning, procurement, inventory, costing, and financials. Engineering data from PLM is often transformed into manufacturing BOMs and routings in ERP.
– **PLM vs PDM (Product Data Management)**: PDM typically focuses on file-level control (e.g., CAD file vaulting and versioning). PLM is broader, managing processes, product structures, and cross-functional workflows. Some organizations use the terms interchangeably, but PLM usually implies a wider scope.

Boundaries and exclusions

When used in an industrial context, PLM **does include**:

– Cross-functional processes for product definition and change control.
– Structured product data (BOMs, configurations, revisions) and related documents.
– Governance, workflows, and traceability around product decisions.

It **does not typically include**:

– Real-time machine data collection or detailed production tracking (handled by MES or SCADA).
– Financial accounting, purchasing, or inventory valuation (handled by ERP).
– Standalone CAD tools themselves, although PLM is often tightly integrated with CAD.

Common confusion and misuse

– **PLM vs generic “product management”**: In software and commercial product contexts, PLM is sometimes used loosely to mean general product management or roadmap planning. In industrial operations, PLM has a more specific meaning focused on structured product data and lifecycle control.
– **PLM vs MES for work instructions**: Some organizations store high-level routed work instructions or process plans in PLM, but the detailed, executable work instructions used at the station level are often managed and versioned in MES. The division varies by organization, but PLM remains the master for design intent.

Site context: PLM in relation to scrap and quality

Where MES is used to reduce scrap and improve quality, PLM plays an upstream role by:

– Providing **controlled product definitions and revisions** so that only approved designs and configurations reach the shop floor.
– Managing **engineering changes** that address design-related sources of scrap or rework.
– Supporting **traceability** from nonconformances detected in MES or quality systems back to specific product versions, components, or design decisions.

In aerospace and other regulated sectors, effective integration between PLM, MES, and quality systems enables traceable, controlled translation of design intent into manufacturing execution without redefining PLM itself as an execution or planning tool.

June 9, 2026
Should non-conformance be hyphenated?
In regulated manufacturing and quality management contexts, the safest approach is to treat this as a style and consistency question, not a compliance question.

In common usage:
- “Nonconformity” (one word, no hyphen) is the term used in many standards (for example, ISO 9001 uses “nonconformity”).
- “Non-conformance” (hyphenated) is widely used in industry documents, QMS procedures, and NC/CAPA systems.
- “Non conformance” (with a space and no hyphen) is rarely preferred and is usually treated as inconsistent or informal.
For your QMS and operational documentation, the key point is consistency:
- Pick a primary term (for example, “nonconformity” to align with ISO language, or “non-conformance” if that is already used in your NC forms and MES/MRP fields).
- Document the choice in your controlled style guide or document control procedure.
- Apply it consistently across SOPs, work instructions, forms, and electronic system fields to avoid confusion in audits, investigations, and data analysis.
If your systems already mix terms (for example, legacy MES uses “Non-Conformance” and newer QMS uses “Nonconformity”), change control and validation requirements may make it impractical to force a full cleanup. In that case, define a clear mapping in your procedures so it is obvious to auditors and users that these labels refer to the same underlying concept.

So, “non-conformance” may be hyphenated, but it does not have to be. Choose one convention, align it with the main standards you follow where practical, and keep it consistent across your documentation and systems.
June 9, 2026
Specification
A specification is a documented set of requirements that defines how a product, material, system, or process must perform or be executed. In industrial and manufacturing environments, specifications commonly describe technical parameters, materials, dimensions, tolerances, process steps, test methods, and acceptance criteria that must be met.

Specifications can apply to many areas, including product design, raw materials, equipment settings, cleanliness levels, packaging, labeling, data formats, and software behavior. They are typically controlled documents and form part of the basis for design, manufacturing, inspection, and release decisions.

How specifications are used in operations

In regulated industrial environments, specifications often:
- Define required characteristics for parts, assemblies, and finished goods (for example, dimensions, materials, performance limits).
- Describe process requirements, such as machine parameters, environmental conditions, and sequence of operations.
- Set quality and test requirements, including sampling plans, test methods, and pass/fail criteria.
- Govern data and documentation, such as formats for electronic records or required fields in batch records.
- Support integration across systems such as MES, ERP, and LIMS by standardizing identifiers and data attributes.
Specifications are usually linked to related documents like drawings, work instructions, standard operating procedures (SOPs), and material master records. In many plants, non-conformances are recorded whenever there is a departure from an approved specification.

Common types of specifications in manufacturing
- Product or part specification: Defines what a product or component must be, including physical, chemical, and functional requirements.
- Material specification: Defines requirements for raw materials, intermediates, and consumables, often including supplier and inspection criteria.
- Process specification: Defines how a process must be carried out, including equipment settings, sequences, and critical process parameters.
- Test or inspection specification: Defines how to verify requirements, including methods, instruments, sample sizes, and acceptance limits.
- Interface or data specification: Defines how systems or components communicate, including data structures, formats, and protocols.
Specification and compliance

In regulated sectors, specifications are typically under document control and version governance. Changes often require formal review, approval, impact assessment, and sometimes revalidation. Manufacturing execution systems, quality systems, and ERP platforms frequently reference specification identifiers to ensure that the current, approved version is applied in planning, production, and release decisions.

Common confusion
- Specification vs. standard: A standard is a broader, often externally published reference document. A specification is usually a concrete, organization-specific or product-specific set of requirements that may be based on one or more standards.
- Specification vs. work instruction: A specification defines what requirements must be met. A work instruction typically explains how operators should perform tasks to meet those requirements.
- Specification vs. drawing: A drawing may visually represent geometry and some requirements, while a specification usually provides a structured, often text-based definition of requirements. In many organizations the drawing and specification together form the complete requirement set.
Link to non-conformance management

Non-conformances in the workplace are often defined as any departure from an approved specification, requirement, procedure, or standard. Effective specification management supports traceability, investigation, and remediation when parts, processes, systems, or documentation do not meet approved specifications.
June 6, 2026
revision history
Revision history is the controlled record of changes made to a document, specification, software component, or system configuration over time. It typically shows what changed, when it changed, who authorized or performed the change, and why the change was made.

In industrial and regulated manufacturing environments, a revision history is usually maintained for controlled documents such as work instructions, SOPs, batch records, quality procedures, drawings, and validated software configurations. It supports traceability, impact analysis, and audit evidence for how controlled information has evolved.

Typical contents of a revision history

A revision history section or log commonly includes:
- Revision identifier (version number, letter, or code)
- Effective date or release date for the revision
- Brief description or summary of the change
- Name or role of the author and/or approver
- Reference to change request, deviation, CAPA, or ticket, if applicable
- Status (draft, released, obsolete), depending on the system
The revision history may be visible on the document itself (for example, on the first or last page) or stored in an electronic document management or MES/PLM system and accessed via metadata or audit trails.

Operational role in manufacturing systems

From an operational perspective, revision history is used to:
- Demonstrate that current work instructions, recipes, or configurations are under change control
- Support investigations by showing exactly what instructions or specifications were in effect at a given time or for a given lot
- Help engineering, quality, and operations staff understand the rationale for previous changes and avoid unintended reversals
- Align versions across integrated systems (for example, ensuring MES work instructions match ERP or PLM revisions)
In digital systems, the revision history may be linked to electronic signatures, workflows, and automated audit trails. In paper-based or hybrid environments, it may be maintained manually as a controlled log.

Common confusion
- Revision history vs. version number: A version or revision number identifies a specific state. The revision history is the chronological record of all such states and their associated changes.
- Revision history vs. audit trail: An audit trail is a detailed, system-level log of actions and events (such as view, modify, approve). The revision history is usually a higher-level summary of released changes, intended for human review.
Relation to work instructions

For manufacturing work instructions, the revision history shows how the instructions have been updated over time, such as changes to steps, parameters, tools, safety notes, or inspection criteria. This helps ensure operators use the correct, current revision and allows quality or regulatory reviewers to trace which version was in effect for a given batch, order, or time period.
June 6, 2026
configuration drift
Configuration drift commonly refers to the gradual or unintended change of a system, device, application, or environment away from its defined baseline configuration over time. The term is used in both IT and OT contexts, including servers, endpoints, network devices, PLC-related infrastructure, manufacturing software platforms, and integrated systems such as MES, ERP, and historians.

In practice, configuration drift occurs when actual settings no longer match the approved, documented, or expected state. This can result from manual changes, emergency fixes, inconsistent deployments, software updates, patching, undocumented workarounds, or differences between environments such as development, test, and production.

The term includes changes to parameters, access settings, service configurations, versions, dependencies, and connected system behaviors when those changes alter the established configuration state. It does not usually mean a formally approved configuration change that has been documented, reviewed, and reflected in the current baseline.

How it appears in operations

In manufacturing and regulated operations, configuration drift may show up as inconsistent machine interface settings, different application behavior across production lines, mismatched recipe or parameter values, or integration mappings that no longer align between systems. It is often relevant where repeatability, traceability, controlled change, and evidence of current system state matter.
- A test environment and production MES instance no longer use the same business rules.
- A workstation or edge device receives a local setting change that is not reflected in central documentation.
- An integration connector is patched in one plant but not another, creating different data handling behavior.
Common confusion

Configuration drift is often confused with version drift and data drift.
- Configuration drift is about differences in settings or system state relative to a defined baseline.
- Version drift is about systems running different software releases, builds, or patch levels.
- Data drift usually refers to changes in data patterns over time, especially in analytics or machine learning contexts.
These can overlap, but they are not the same. A system can have the same software version and still experience configuration drift.

Why the term matters

The main significance of configuration drift is that it makes actual operating conditions less predictable and harder to reconcile with approved documentation, expected process behavior, and system-to-system consistency. In controlled environments, the term is commonly used when discussing change control, document control, environment management, validation maintenance, cybersecurity hardening, and audit evidence.
June 6, 2026
Record Retention
Record retention commonly refers to the controlled keeping of records for defined periods of time to meet operational, regulatory, contractual, and business requirements. In industrial and manufacturing environments, it applies to both paper and electronic records related to production, quality, maintenance, safety, and compliance.

What record retention includes

Record retention typically covers:
- Documented policies that define how long different record types must be kept
- Processes and systems that store and protect records during their retention period
- Rules for classifying records (for example, batch records, calibration certificates, deviation reports, training records, maintenance logs)
- Procedures for secure and controlled disposition of records at the end of their retention period
- Responsibilities and roles for managing retention in IT, OT, quality, and operations
In regulated manufacturing, retention requirements are often driven by standards, customer contracts, and regulations that specify minimum periods for keeping production, quality, safety, and traceability records.

Operational meaning in manufacturing

Operationally, record retention shows up in how systems are configured and used, for example:
- MES and SCADA: configuration of data archiving for batch data, alarms, electronic batch records, and audit trails
- Quality systems (QMS): retention rules for nonconformance, CAPA, complaint, inspection, and validation records
- Document control: retention of obsolete procedures, work instructions, and specifications for reference and traceability
- ERP and maintenance systems: retention of work orders, maintenance histories, calibration results, and supplier documentation
- Backup and storage practices: ensuring that backups and archives support required retention periods without uncontrolled duplication
Record retention is closely tied to audit readiness and traceability. Systems and processes should be able to retrieve required records in a controlled and timely way for internal reviews, customer audits, and regulatory inspections.

What record retention does not include

Record retention is not the same as:
- Real-time monitoring, which focuses on current data rather than how long data is kept
- Data backup alone, which protects against loss but does not define how long records are to be maintained or when they can be destroyed
- Data privacy or information security policies, although these must align with retention rules
Common confusion

Record retention vs. data retention: In many organizations, these terms are used interchangeably. Record retention usually emphasizes business and compliance records, often with formal document control, while data retention can refer more broadly to any stored data, including logs and raw sensor data.

Record retention vs. archive: Archiving is a technical method of storing data for long-term access. Record retention policies decide what must be archived, for how long, and under what controls.

Link to document control and audits

Record retention is typically part of a broader document control framework. Retention rules are often defined in a retention schedule and implemented through document control procedures, IT policies, and configuration of OT/IT systems. During audits, organizations are often asked to demonstrate that retention policies exist, are followed, and allow retrieval of specific records for the required time period.
June 6, 2026
RACI
RACI is a responsibility assignment model used to clarify roles for tasks, deliverables, or processes. The acronym usually stands for Responsible, Accountable, Consulted, and Informed. It is commonly applied in industrial operations, project management, manufacturing process ownership, and cross-functional workflows involving OT, IT, quality, and compliance roles.

Key elements of RACI

In a RACI matrix, each significant activity or deliverable is mapped to stakeholders, with one or more of the following roles assigned:
- Responsible (R): The person or role that performs the work to complete the task or deliverable. There can be multiple Responsible roles, especially in complex manufacturing or validation activities.
- Accountable (A): The person or role ultimately answerable for the outcome and for ensuring the task is completed. There is typically only one Accountable per task to avoid ambiguity.
- Consulted (C): People or roles that provide input, expertise, or approvals before work is done or decisions are made, for example quality, regulatory, or engineering stakeholders.
- Informed (I): Stakeholders who are kept up to date on progress or outcomes but are not expected to provide input, such as operations leadership or external partners.
How RACI is used in manufacturing and regulated environments

In manufacturing, RACI is commonly used to define role clarity for:
- Ownership of production processes, equipment, recipes, and specifications across operations, engineering, maintenance, and quality.
- Changes to MES, ERP, LIMS, or other OT/IT systems, including who raises, approves, and implements changes.
- Execution, review, and approval of batch records, electronic work instructions, deviations, CAPA, and audit responses.
- Data governance activities, such as who is responsible for data entry and who is accountable for data integrity in regulated records.
Operationally, a RACI matrix is often implemented as a simple grid that lists key activities (for example, “approve master batch record,” “release product to ship,” “update SCADA alarm limits”) down one side and roles or departments (for example, Production Supervisor, QA, Validation, IT/OT) across the top. Each cell defines the R, A, C, or I assignment for that combination.

What RACI includes and excludes

RACI focuses on clarifying responsibility and accountability, not on describing detailed work instructions, SOPs, or technical system configurations. It typically:
- Includes: Who performs, approves, is consulted on, or is informed about specific tasks, decisions, or deliverables.
- Excludes: Step-by-step procedures, acceptance criteria, system design details, staffing levels, or organizational charts, although it may reference roles defined elsewhere.
Common confusion

RACI is sometimes confused with:
- Organizational charts: An org chart shows reporting lines, while RACI shows role assignments for specific work activities, which may cut across the formal hierarchy.
- Job descriptions: A job description defines a role in general terms, whereas a RACI matrix connects roles to concrete tasks within a process or project.
- Extended variants: Variants such as RASCI (adding “Support”) or RACIQ (adding “Quality review” or similar) exist, but the core idea is still to clarify responsibility, accountability, and communication expectations.
RACI in compliance and quality contexts

In regulated manufacturing, RACI is often applied to demonstrate clear allocation of responsibilities for activities related to data integrity, validation, deviation handling, CAPA, and document control. It can support internal alignment around who signs, who reviews, and who maintains records in systems such as MES, DMS, and QMS, without itself constituting evidence of compliance or certification.
June 6, 2026
Information Asset
An information asset is any collection of data, document, system, or technology resource that has value to an organization and therefore needs to be identified, managed, and protected. In industrial and regulated manufacturing environments, information assets include both digital and physical records that support operations, quality, safety, and compliance.

What an information asset includes

In manufacturing and industrial operations, information assets commonly include:
- Production data, such as batch records, machine parameters, and process histories
- Quality and compliance documentation, including nonconformance reports, CAPA records, and audit trails
- Engineering and technical information, such as drawings, specifications, PLC logic, and recipes
- Systems and databases, for example MES, historian databases, ERP master data, and LIMS data sets
- Standard operating procedures, work instructions, and training records
- Supplier and customer data, including material certificates and delivery records
- Cyber-physical information, such as OT network configurations, access control lists, and system logs
The term can apply to both structured information (databases, configuration files, log records) and unstructured information (PDF procedures, email threads with deviation approvals, scanned paper records).

What an information asset is not

An information asset is not just any piece of data. It typically:
- Has identifiable business, operational, safety, or compliance value
- Has an owner or custodian responsible for it
- Requires control over accuracy, access, retention, and, in some cases, confidentiality
For example, transient sensor noise that is never stored or used would not usually be treated as an information asset, while archived sensor trends used for investigations and optimization normally would be.

Operational meaning in manufacturing

In practice, classifying something as an information asset means it is brought under formal governance. Typical activities include:
- Cataloging the asset in an information or asset register, including owner, location, and criticality
- Defining access control rules, backup and restore needs, and change control requirements
- Applying document control or data integrity practices, such as version control and audit trails
- Assigning retention and disposition rules aligned with regulatory and business needs
- Including the asset in risk assessments for cybersecurity, data integrity, and business continuity
For OT and IT systems like MES, SCADA, historians, and ERP, the system itself and the data it stores are often treated as separate, but related, information assets.

Relationship to risk and compliance

Many information security and data governance frameworks expect organizations to identify and classify information assets before they can manage risks effectively. In regulated manufacturing, this often includes:
- Identifying which assets contain regulated records, such as electronic batch records or device history records
- Classifying criticality for safety, product quality, and regulatory reporting
- Defining controls for data integrity, including traceability, completeness, and accuracy
- Flagging assets that contain export-controlled or confidential technical data
Common confusion
- Information asset vs. physical asset: A physical asset is a tangible resource such as a machine, robot, or building. An information asset is the data and information associated with these resources, such as maintenance histories, calibration records, or control programs.
- Information asset vs. record: A record is a specific type of information that provides evidence of an activity or decision. An information asset can be broader and may include records, reference data, configuration data, and working documents.
- Information asset vs. data: Not all raw data is treated as an asset. An information asset usually represents data that has recognized value, context, and management responsibilities.
June 6, 2026
Formula versioning
Formula versioning is the controlled tracking and management of changes to a manufacturing formula over time. A formula version identifies a specific approved or recorded state of a recipe, blend, bill of ingredients, or process formula so the organization can distinguish one definition from another.

In manufacturing, this commonly includes changes to ingredient or material quantities, units of measure, processing parameters, yield assumptions, substitutions, specifications, effective dates, and approval status. It may also include links to related records such as work instructions, quality documents, ERP or MES master data, and change control records.

Formula versioning is not the same as simply overwriting a formula master record. The key distinction is that prior states remain identifiable, and each version can be tied to when it was created, who changed it, why it changed, and where it was used. In regulated or traceability-sensitive environments, this supports consistent execution, review, and historical reconstruction.

How it appears in operations

Formula versioning often appears in ERP, MES, LIMS, PLM, or quality systems as version numbers, revisions, effective dates, status labels, and approval workflows. For example, a plant may release a new formula version for a coating mix with an updated solvent ratio while keeping the prior version available for historical batch records and investigation.
- Current version: the formula presently released for use
- Pending version: a change under review or not yet effective
- Obsolete or retired version: no longer released for execution but retained for history
- Effective dating: controls when a version may be used in production
What it includes and excludes

Formula versioning commonly refers to the version control of product formulations or process formulas used to manufacture a material or product. It may apply to discrete, batch, and process manufacturing, especially where composition matters.

It does not usually mean versioning of every related document or every production instruction, although those items may be governed alongside the formula. A formula version can be linked to document revisions, but it is not identical to document control in general.

Common confusion

Formula versioning vs. recipe versioning: These terms are sometimes used interchangeably, but they are not always identical. A formula usually focuses on composition or material relationships, while a recipe may also include sequence, timing, equipment steps, and execution logic.

Formula versioning vs. BOM revision: A bill of materials revision is usually associated with product structure in discrete manufacturing. A formula version is more often used where proportions, yields, or batch scaling are central.

Formula versioning vs. document revision control: Document revision control manages files such as SOPs or specifications. Formula versioning manages the manufacturing definition itself, even when related documents are attached.
June 6, 2026
Transition period
A transition period is a defined span of time during which an organization, process, system, or controlled activity moves from one state to another. In industrial and regulated environments, it commonly refers to the interval used to shift from an old method, version, supplier, equipment state, or compliance approach to a new one while maintaining continuity of operations and records.

The term describes the time window itself, not the final target state and not the detailed plan used to get there. A transition period may be formal, with documented start and end conditions, or informal, but in controlled environments it is often tied to approvals, effective dates, training completion, document revisions, system cutover steps, or inventory depletion.

How it appears in operations

In manufacturing and quality workflows, a transition period may apply to:
- changeover from one work instruction revision to another
- migration from paper records to electronic records
- cutover from a legacy MES, ERP, or quality system to a new platform
- introduction of a new supplier, material, or process routing
- phased enforcement of updated internal procedures or customer requirements
During this interval, both old and new states may coexist under defined controls. For example, a plant may allow existing inventory labeled to an earlier specification to be consumed until a stated date while all newly released work orders use the updated revision.

What it includes and excludes

A transition period commonly includes timing boundaries, interim rules, and criteria for when the old state is no longer allowed. It may also include temporary controls such as dual documentation, added review steps, or restricted user access during a system rollout.

It does not necessarily mean a shutdown, a maintenance outage, or a probationary period for personnel. It is also not the same as the change request, validation package, or project plan, although those may define or govern the transition period.

Common confusion

Transition period is often confused with implementation period. The implementation period is the time used to put a change in place, while the transition period focuses on the managed overlap or shift from old to new.

It is also sometimes confused with grace period. A grace period usually emphasizes temporary tolerance after a deadline, while a transition period is broader and usually includes the controlled move before full adoption.

In quality and compliance discussions, it can overlap with terms like effective date, cutover window, and phase-in period, but those are narrower. An effective date is a point in time, a cutover window is usually a short technical switchover interval, and a phase-in period emphasizes gradual adoption.
June 6, 2026