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Glossary Tag: process monitoring

  • as-built record

    Core meaning

    An **as-built record** is a documented description of the actual configuration, materials, and construction of a product, system, or facility at the time it is completed or released.

    It captures what was **actually built and installed**, which may differ from the original design or engineering intent. In regulated manufacturing, as-built records are typically retained as part of product history or device history documentation.

    Typical contents in manufacturing

    In industrial and regulated environments, an as-built record commonly includes:

    – Final bill of material (BOM) with actual part numbers and revisions used
    – Lot, batch, or serial numbers of critical materials and components
    – Configuration details (options, software versions, parameter sets)
    – Records of deviations, nonconformances, or waivers that changed the design or process
    – Approved engineering changes applied during build (e.g., ECNs, ECRs)
    – Key process data that define the built state (e.g., torque values, calibration data, test results)
    – Identification of the specific unit(s) to which the record applies (serial number, unit ID, tail number, etc.)

    The level of detail depends on the product, risk classification, and regulatory expectations.

    Use in MES, ERP, and traceability

    In integrated manufacturing IT/OT landscapes:

    – **MES (Manufacturing Execution System)** typically holds or generates the as-built record at the unit, serial, or batch level. It may include:
    – Material genealogy (which material lots and components went into each finished unit)
    – Route and operation history
    – Operator IDs, timestamps, and equipment used
    – Test, inspection, and release decisions

    – **ERP (Enterprise Resource Planning)** usually contains the **as-planned** and **as-designed** structures (standard BOMs, routings, costing), and may store high-level as-built information (e.g., shipped configuration, top-level serials) but not full process detail.

    For high-traceability industries such as aerospace, medical devices, and pharmaceuticals, the combination of MES data and supporting quality records commonly constitutes the authoritative as-built record for a product or batch.

    Boundaries and what it is not

    – **As-built vs. as-designed:**
    – *As-designed* describes the intended configuration from engineering.
    – *As-built* documents the configuration that was actually produced.

    – **As-built vs. as-planned/as-intended process:**
    – *As-planned* describes the standard process route or work instructions.
    – *As-built* includes the actual route followed, including rework, holds, or alternative operations.

    – **As-built vs. real-time monitoring data:**
    – Real-time OT/SCADA data streams support the record but are not, by themselves, the as-built. The as-built record is the curated, contextualized, and retained representation of the final state.

    An as-built record is typically not a marketing datasheet or general product specification; it is a formal, traceable record tied to specific manufactured units or installations.

    Common confusion and related terms

    – **As-built drawing:** A drawing or model updated to reflect the final constructed state. It is often one element of the broader as-built record but does not, by itself, capture full material genealogy or process history.
    – **Device history record (DHR) / batch record:** In some regulated sectors, these formal record types include or essentially are the as-built record, augmented with quality and release documentation.
    – **Configuration record:** Focuses on the configuration of a unit (options, software, parameters). An as-built record usually includes the configuration record plus the underlying materials and process evidence.

    Site context: aerospace material usage and genealogy

    In aerospace manufacturing, an as-built record typically links:

    – Each aircraft or major assembly serial number
    – The exact material lots, components, and subassemblies installed
    – The manufacturing and inspection operations performed (with dates, equipment, and personnel)
    – Any concessions, deviations, or repairs accepted during build

    MES is commonly used to capture this unit-level genealogy and operation history, while ERP maintains higher-level inventory and costing views. Together, they support the as-built record required for long-term traceability and investigations.

  • System of Execution

    A system of execution is software used to direct, control, and record operational work while that work is being performed. In manufacturing, it commonly refers to systems that manage shop-floor execution, guide operators, capture production events, and maintain the current state of work in process.

    A system of execution often sits between planning or record systems, such as ERP and PLM, and equipment or OT systems on the production floor. It may dispatch jobs, enforce routings, present work instructions, collect inspection results, record material consumption, capture timestamps, and route exceptions or approvals. A manufacturing execution system, digital traveler platform, electronic batch record system, or electronic DHR workflow can function as a system of execution depending on the environment.

    The term should not be confused with a system of record. A system of record is the authoritative source for a defined set of data, while a system of execution is focused on controlling and documenting the work process as it occurs. A system of execution may create or update records, but its primary role is operational execution rather than long-term master data ownership or reporting alone.

  • Rework Routing

    Rework routing is the defined sequence of operations, checks, and approvals used to correct a nonconforming part, assembly, or batch and determine whether it can return to the normal production flow. In manufacturing systems, it describes where the item goes, what work is performed, what evidence is recorded, and who must review or approve the disposition.

    Rework routing is commonly managed in an MES, digital traveler, quality management workflow, or ERP-connected production system. It may include added work instructions, inspection steps, material review board decisions, quality holds, re-test requirements, and traceability records linking the rework activity to the original work order or serial number.

    The term should not be confused with normal production routing, which defines the planned manufacturing path for conforming work. It also differs from shipping or network routing. Rework routing is specifically tied to correcting or evaluating work that has deviated from the expected process or specification.

  • Machine Connectivity

    Machine connectivity is the ability of industrial equipment to exchange usable data with other systems, such as PLCs, SCADA, MES, quality systems, historians, or ERP platforms. In manufacturing, it commonly refers to the hardware, network, protocol, and data-model arrangements that let machines send and receive production, status, process, and quality data.

    Machine connectivity may include direct connections to controllers, adapters or gateways for legacy equipment, industrial protocols such as OPC UA or MTConnect, and message-based approaches such as MQTT. The goal is not only to connect a machine to a network, but to make its data available in a reliable and interpretable form for operations, traceability, monitoring, and integration workflows.

    The term should not be confused with machine monitoring alone. Monitoring is one use of machine connectivity. Connectivity can also support work-order execution, parameter download, inspection data capture, alarm handling, maintenance signals, and production reporting. It also does not imply that a machine is fully automated or that all connected data is automatically valid for regulated records without appropriate controls.

  • Traceability Graph

    A traceability graph is a data structure or visual model that represents traceability as connected relationships rather than as a simple linear list. In manufacturing and regulated operations, it commonly shows how parts, lots, serial numbers, process steps, equipment, documents, test results, inspections, nonconformances, and finished units are linked across the product lifecycle.

    Unlike a basic history log, a traceability graph focuses on connections between entities. Each node typically represents an item, record, event, or asset, and each edge represents a relationship such as consumed by, assembled into, processed on, inspected by, or linked to. This makes it possible to follow lineage backward to sources and forward to affected products or records.

    What it includes

    • Material and component genealogy, such as lot-to-batch or part-to-assembly relationships

    • Process execution links, such as routing steps, machine usage, operator actions, and timestamps

    • Quality and compliance evidence, such as inspection results, deviations, CAPA references, and approvals

    • Cross-system references, such as connections among MES, ERP, PLM, QMS, and maintenance records

    A traceability graph does not refer only to a chart or dashboard. The term may describe the underlying graph-style data model, the stored relationship network, or a user-facing visualization built from that network.

    Operational meaning

    In day-to-day operations, a traceability graph is used to answer questions that span multiple records and systems. Examples include identifying which finished units contain a suspect lot, which work orders used a specific machine setting, or which inspection records support an as-built configuration. It is especially relevant where traceability must extend across manufacturing execution, quality, supplier inputs, and service history.

    Common confusion

    A traceability graph is often confused with genealogy, digital thread, or audit trail.

    • Genealogy usually focuses on parent-child material lineage, while a traceability graph can include broader relationships such as documents, equipment, people, and quality events.

    • Digital thread is a broader concept for connected data across the lifecycle. A traceability graph can be one technical way to represent part of that thread.

    • Audit trail records who changed what and when. A traceability graph may link audit trail records, but it is not limited to change logging.

    Why the graph model matters

    Graph-based traceability is commonly used when relationships are many-to-many and not strictly sequential. This is typical in high-mix manufacturing, serialized production, rework loops, outsourced processing, and regulated quality workflows where one event can affect multiple records and one product can inherit evidence from many sources.

  • Identifier mapping

    Identifier mapping is the association between identifiers used in different systems, data models, or business processes to represent the same real-world object, record, or entity. In manufacturing and regulated operations, it commonly refers to linking IDs such as part numbers, material codes, equipment IDs, batch numbers, supplier IDs, work order numbers, or employee records across MES, ERP, PLM, QMS, LIMS, and other connected systems.

    The purpose of identifier mapping is to preserve referential consistency when data moves between systems that do not share the same native key structure. A mapping may be one-to-one, one-to-many, many-to-one, or conditional, depending on how the source and target systems are designed. It can be maintained in middleware, master data services, integration logic, data warehouses, or application-level configuration.

    What it includes

    • Cross-references between internal and external IDs for the same entity

    • Mappings between legacy and current identifiers after migration or system replacement

    • Translation of plant-specific, supplier-specific, or system-specific codes into a common reference

    • Rules for handling alternate identifiers, revisions, prefixes, formatting differences, or composite keys

    What it does not mean

    Identifier mapping is not the same as changing the identifier itself. It does not require a single universal ID, and it is not identical to data transformation in general. Data transformation may change values, formats, or structures, while identifier mapping specifically concerns which identifier in one context corresponds to which identifier in another.

    How it appears in operations

    In practice, identifier mapping often appears in integrations where one system must recognize records created or controlled elsewhere. Examples include linking an ERP material number to an MES item ID, matching a supplier lot reference to an internal batch record, or associating a PLM part revision identifier with the manufacturing record used on the shop floor. Accurate mapping supports traceability, genealogy, transaction posting, and consistent reporting across systems.

    Common confusion

    Identifier mapping is commonly confused with master data management, record matching, and field mapping.

    • Master data management governs authoritative data and ownership. Identifier mapping is one mechanism used within or alongside it.

    • Record matching is the process of determining whether two records refer to the same entity. Identifier mapping is the stored relationship once that correspondence is established.

    • Field mapping defines how data fields align between systems, such as source and target columns. Identifier mapping is narrower and focuses on the IDs that represent entities.

    Manufacturing example

    A company may store the same serialized component under one identifier in PLM, another in ERP, and a third in MES. Identifier mapping links those values so that engineering, production, quality, and traceability records can refer to the same component without assuming the systems use identical keys.

  • FMEA (Failure Modes and Effects Analysis)

    FMEA (Failure Modes and Effects Analysis) is a structured risk analysis method used to identify how a product, process, or system could fail, what the effects of those failures could be, and which failure modes deserve the most attention. In manufacturing and regulated operations, it is commonly used to evaluate potential quality, safety, reliability, or compliance-related issues before they result in defects, deviations, downtime, or customer impact.

    An FMEA typically documents the item being analyzed, its intended function, possible failure modes, the effects of each failure, likely causes, existing controls, and a way to prioritize risk. The method is used to support prevention and risk reduction, not to prove that failure is impossible and not to replace validation, verification, inspection, or root cause analysis after an event has already occurred.

    Where it applies

    FMEA is commonly applied in several ways:

    • Design FMEA (DFMEA): focuses on potential failures in a product or design.

    • Process FMEA (PFMEA): focuses on potential failures in manufacturing, assembly, inspection, packaging, or material handling steps.

    • System FMEA: focuses on interactions across subsystems, equipment, software, or operational functions.

    In plant and quality workflows, FMEA may be linked to control plans, work instructions, process characteristics, inspection strategies, CAPA inputs, and change management records.

    How it is used operationally

    In practice, teams use FMEA to review each step or function, ask what could go wrong, assess the consequences, identify causes and controls, and rank issues for further action. In a manufacturing environment, examples might include an incorrect torque setting, mislabeled material, missed inspection step, recipe parameter drift, or loss of traceability data.

    FMEA is often maintained as a living document when products, equipment, suppliers, routing steps, software logic, or process parameters change. In digital quality systems or MES-integrated environments, some organizations connect FMEA outputs to process controls, nonconformance workflows, and evidence records, but the FMEA itself remains an analysis method rather than an execution system.

    Common confusion

    FMEA is often confused with related terms:

    • FMECA: a related method that adds a formal criticality analysis to the failure mode review.

    • Risk assessment: FMEA is one type of risk assessment, but not the only one.

    • CAPA or root cause analysis: FMEA is generally preventive and forward-looking, while CAPA and root cause methods are commonly used after a problem is found.

    • Control plan: a control plan defines how a process is monitored and controlled; FMEA helps identify what should be controlled and why.

    Another common point of confusion is the scoring method. Many teams associate FMEA with severity, occurrence, and detection ratings and an overall Risk Priority Number (RPN). Those scoring approaches are widely used, but the exact method can vary by industry, company, or quality framework.

  • risk-based escalation

    Risk-based escalation is the practice of routing an issue, event, deviation, or decision to a higher level of review based on its assessed risk rather than by a fixed rule alone. In manufacturing and quality systems, this commonly means that higher-severity, higher-impact, or less-controlled situations are escalated faster, to more senior roles, or into more formal workflows.

    The term is commonly used in quality management, nonconformance handling, deviation review, supplier issues, maintenance response, and production support. A risk-based escalation model may consider factors such as product impact, safety relevance, regulatory sensitivity, customer effect, recurrence, containment status, and time criticality. For example, a minor documentation error may stay within routine correction, while a repeated process deviation affecting traceability may be escalated to quality, engineering, or management review.

    Risk-based escalation does not mean any issue can be handled informally. It usually operates within a defined procedure, matrix, or workflow that sets escalation thresholds and responsible roles. It is also not the same as a risk register, which records risks, or a CAPA, which manages investigation and corrective action after an issue is formally taken up. In digital systems such as MES, QMS, ERP, or service management tools, risk-based escalation is often implemented through priority rules, workflow states, notifications, and approval routing.

  • Standardization

    Standardization commonly refers to establishing and using consistent methods, formats, specifications, or rules so work is performed and interpreted the same way across people, equipment, systems, or sites. In manufacturing and regulated operations, it often applies to process steps, naming conventions, data structures, documentation, interfaces, quality checks, and operating practices.

    It is not the same as making everything identical in every detail. Standardization sets agreed boundaries for how something should be defined, executed, recorded, or exchanged. Those boundaries can still allow controlled variation, such as different approved routings, product-specific parameters, or site-specific procedures.

    How it appears in operations and systems

    In practice, standardization may show up as standardized work instructions, common part and document naming rules, approved templates, harmonized ERP and MES data fields, consistent quality codes, or defined handoffs between systems. The purpose is consistency of execution and interpretation, not just document uniformity.

    • On the shop floor, it may mean using the same approved sequence for a recurring task.
    • In quality systems, it may mean consistent defect categories, record formats, and review steps.
    • In IT and OT integration, it may mean common data definitions, message structures, and interface rules across applications.

    What standardization includes and excludes

    Standardization includes defining repeatable expectations for work or data so results can be compared, controlled, and understood consistently.

    It does not by itself guarantee optimization, compliance, or process capability. A process can be standardized and still be inefficient, poorly designed, or inconsistently followed. It also does not necessarily mean industry-wide standards. Internal company standards, site standards, and cross-functional conventions are also forms of standardization.

    Common confusion

    Standardization vs standard work: standard work usually refers to the documented current best method for performing a task. Standardization is broader and can include data models, naming conventions, forms, interfaces, and governance practices.

    Standardization vs harmonization: harmonization usually means aligning differences across groups or systems. Standardization usually means defining or enforcing a common form, method, or rule.

    Standardization vs compliance: standardization can support auditability and control, but it is not the same as meeting a regulatory or certification requirement.

    Manufacturing example

    A manufacturer may standardize nonconformance codes across plants so ERP, MES, and QMS records use the same defect categories. That helps preserve meaning when data is exchanged, reviewed, or trended across functions.