Engineering Drawing

Chapter 13
Drawing Control and Product Lifecycle Management

Bachelors Program in Machine Technology
Engineering Drawing   •   Bachelor

Drawing Control and Product Lifecycle Management

Introduction

Engineering drawings are controlled technical documents, not merely illustrations of components. They communicate design intent, define requirements for manufacture and inspection, provide evidence of conformity, and establish a historical record of product decisions. In machine technology, an uncontrolled drawing can produce incorrect parts, conflicting bills of materials (BOMs), unnecessary rework, safety risks, and legal or contractual disputes.

Drawing control is the disciplined management of drawing creation, checking, approval, release, revision, distribution, use, and retention. Product Lifecycle Management (PLM) extends this discipline across the complete life of a product—from requirements and concept design through detailed design, manufacture, service, modification, and disposal. Together, drawing control and PLM create a controlled information environment in which authorized people use the correct product definition at the correct time.

The subject is strategic because manufacturing performance increasingly depends on reliable digital information. Computer-aided design (CAD), model-based definition (MBD), enterprise resource planning (ERP), manufacturing execution systems (MES), supplier portals, and cloud collaboration all require consistent product data and clearly defined authority.

Learning Objectives

After studying this chapter, the learner should be able to:

  1. Explain the purpose and principles of engineering drawing control and PLM.
  2. Distinguish drawing status, revision, version, effectivity, and configuration.
  3. Describe checking, approval, release, change, and obsolescence processes.
  4. Analyze the relationship between drawings, CAD models, specifications, and BOMs.
  5. Apply configuration-management principles to engineering changes.
  6. Design a controlled document workflow for an engineering organization.
  7. Evaluate digital collaboration, traceability, governance, and AI-assisted tools.
  8. Identify risks, ethical responsibilities, and quality-system implications.

1. Engineering Information as a Product Definition

A product definition consists of all approved information needed to identify, make, inspect, operate, maintain, and service a product. It may include:

  • 2D drawings and 3D CAD models;
  • geometric dimensioning and tolerancing (GD&T);
  • material and treatment specifications;
  • assembly instructions and inspection plans;
  • parts lists and BOMs;
  • software, firmware, and parameter files;
  • test requirements and acceptance criteria;
  • supplier and manufacturing-process information.

A drawing normally identifies a part or assembly through a drawing number, title, scale, units, projection method, material information, tolerances, revision status, approval records, and references to related documents. The drawing is therefore part of a technical baseline: a formally approved set of product information against which production and inspection are performed.

A useful distinction is between data and configuration. Data are individual information objects, such as a drawing file or a material specification. A configuration is a defined combination of objects and relationships, such as a particular machine model containing specified quantities of particular components at a particular date.

Important terminology

TermMeaning in drawing control and PLM
DocumentA controlled information object, such as a drawing, specification, or procedure
Drawing numberUnique identifier assigned to a drawing or product definition
RevisionApproved change level of a released document
VersionA particular saved state of a file; not every saved version is an approved revision
StatusState such as draft, submitted, approved, released, superseded, or obsolete
BaselineFormally established, identifiable set of approved product information
ConfigurationProduct structure and attributes at a defined state or effectivity
EffectivityThe products, serial numbers, dates, lots, or locations to which information applies
Change noticeFormal record proposing, evaluating, authorizing, or implementing a change
BOMStructured list of components, quantities, and relationships in an assembly
TraceabilityAbility to follow an item’s origin, changes, approvals, and use
PLMSystematic management of product information and processes throughout the lifecycle

2. Principles of Drawing Control

Effective control rests on several principles.

2.1 Unique identification

Every controlled item should have a unique identifier. Names alone are unreliable because similar descriptions may refer to different parts, and the same part may be described differently by different departments. Numbering conventions should be systematic, stable, and independent of temporary project names where possible.

2.2 Single authoritative source

An organization should define which system or repository is authoritative for each information type. A drawing attached to an email, copied to a local drive, or printed in a workshop may be useful for work, but it is not necessarily the current master record. The authoritative source must be clear.

2.3 Defined responsibility

Creation, checking, approval, release, change authorization, and archival should have assigned roles. One person may perform more than one role in a small organization, but critical work should include independent review where risk warrants it.

2.4 Status visibility

Users must be able to determine immediately whether a document is preliminary, approved for quotation, released for manufacture, restricted, superseded, or obsolete. Status should not depend on informal knowledge.

2.5 Controlled change

A change should be identifiable, justified, evaluated for consequences, approved by appropriate authority, implemented, and recorded. Replacing a file without recording why and when it changed destroys technical history.

2.6 Access and protection

Users require appropriate access, but not every user should be able to alter product definition. Permissions should support confidentiality, integrity, and availability. Particularly sensitive designs may require encryption, export controls, segregation of duties, and supplier access restrictions.

2.7 Retrieval and retention

Information must remain findable and readable for the required retention period. Retention requirements may arise from law, contracts, safety obligations, warranty policy, or organizational practice. File-format obsolescence is a genuine engineering risk; long-term records may require migration and validation.

3. The Drawing-Control Workflow

A controlled workflow commonly includes the following stages:

Create → Check → Approve → Release → Use → Change → Supersede or Obsolete → Retain

3.1 Creation

The designer creates the drawing or model using approved templates, units, layers, symbols, title blocks, material designations, and drafting standards. At creation, the designer should verify that the drawing number, part name, projection, scale, tolerances, surface requirements, and references are complete.

The drawing should express design intent rather than merely display geometry. A dimension should have a clear origin and destination; tolerances should be neither unnecessarily tight nor ambiguous; section views should clarify internal features; and notes should not contradict dimensions or specifications.

3.2 Checking

Checking is an independent technical examination. It may include:

  • dimensional and geometric completeness;
  • consistency between views and the 3D model;
  • material, heat treatment, coating, and finish requirements;
  • manufacturability and inspectability;
  • compliance with standards and customer requirements;
  • interface dimensions and fit with mating parts;
  • BOM quantities and item numbers;
  • consistency with calculations, specifications, and previous approved data.

A checker should not simply proofread spelling. The checker evaluates whether the product definition is technically coherent and usable. High-risk products may require specialist checks by manufacturing, quality, safety, stress, electrical, software, or regulatory personnel.

3.3 Approval

Approval confirms that the responsible authority accepts the technical and business consequences of the document. Approval is different from checking: the checker identifies issues, while the approver accepts the document for a defined purpose. Electronic approval should record identity, role, date and time, and the exact document state approved.

3.4 Release

Release makes the document available for its authorized purpose. A document may be released for quotation, prototype manufacture, production, inspection, service, or information only. Release should define effectivity and distribution. A released drawing should not be silently edited; any required modification should follow the change process.

3.5 Distribution and use

The organization should control how released information reaches internal users, suppliers, and customers. Printed copies may require a controlled-copy stamp, issue date, or automatic withdrawal mechanism. Digital systems should display the current released revision and prevent unintended use of superseded data.

3.6 Supersession and obsolescence

When a new revision replaces an old one, the old revision becomes superseded for the affected application, but it may need to remain accessible for historical traceability. An obsolete item is no longer authorized for current use. Obsolescence must be managed carefully when spare parts, fielded equipment, or contractual obligations remain.

4. Revision, Version, and Configuration Control

These terms are often confused.

A version is any saved state of a file, including incomplete working states. A revision is a formally recognized change to an approved document. A designer may save twenty versions while developing a drawing, but only one may be released as revision C. Revision identifiers should be unambiguous and should not be reused.

A revision scheme may use letters, numbers, or a combination. The particular scheme matters less than its consistency and documented rules. Organizations should define whether minor editorial changes receive a revision, how canceled revisions are treated, and whether drawing and model revisions must remain synchronized.

Configuration control manages the relationships among product items and their approved states. For example, assembly A may contain part P in quantity four, fastener F in quantity eight, and subassembly S in quantity one. If part P changes, the organization must determine whether assembly A, its BOM, manufacturing instructions, inspection plans, and service documents also require change.

Configuration control answers four questions:

  1. What is the product supposed to be?
  2. Which documents and parts define it?
  3. Which revision applies to a particular unit or order?
  4. What evidence shows that the approved definition was followed?

Baselines and effectivity

A baseline freezes a known configuration at a point in time or event. Baselines may be established at design review, prototype release, production launch, customer delivery, or regulatory approval. Effectivity identifies where a change applies. Common effectivity methods include:

  • date effectivity;
  • serial-number range;
  • lot or batch number;
  • aircraft, vehicle, or machine identification;
  • customer order;
  • software or firmware release;
  • plant or production line.

Effectivity is essential when old and new configurations coexist. Without it, production personnel may not know whether a change applies to a particular unit.

5. Engineering Change Management

Engineering changes arise from design improvement, defect correction, obsolescence, cost reduction, supplier changes, regulatory requirements, field failures, or manufacturing problems. A robust process prevents local fixes from creating system-wide inconsistencies.

A typical change process includes:

  1. Change request: State the problem, proposed improvement, reason, originator, and affected items.
  2. Impact analysis: Identify effects on safety, function, performance, interfaces, tooling, inventory, suppliers, cost, schedule, validation, documentation, and customers.
  3. Disposition decision: Decide whether to reject, defer, investigate, prototype, or implement the change.
  4. Authorization: Obtain approval from a change-control board or designated authority.
  5. Implementation: Modify drawings, models, BOMs, specifications, processes, software, and instructions.
  6. Verification and validation: Verify that the change was implemented correctly and validate that the product still meets intended requirements.
  7. Release and communication: Release the new configuration with clear effectivity and notify affected parties.
  8. Closure: Confirm completion, update records, and document residual actions.

A change-control board normally includes design, manufacturing, quality, supply chain, service, and project representatives. Membership should match risk. A change affecting a pressure boundary or safety function requires more rigorous assessment than a correction to a nonfunctional note.

Verification and validation

Verification asks whether the product definition satisfies specified requirements: “Did we build the design correctly?” Validation asks whether the resulting product satisfies intended use: “Did we define and build the right product?” Both may involve analysis, inspection, testing, simulation, prototype evaluation, or field evidence.

A change that appears minor can have major consequences. Changing a hole diameter can affect fasteners, stress, tooling, inspection gauges, sealing, assembly sequence, and supplier capability. Therefore, impact analysis should follow relationships in the product structure rather than relying only on the changed drawing title.

6. BOM Consistency and Product Structure

The BOM is the structural link between engineering design and downstream operations. It identifies parent-child relationships, component quantities, units of measure, alternatives, substitutes, effectivity, and sometimes manufacturing or service classifications.

Common BOM views include:

  • Engineering BOM (EBOM): Product structure as designed.
  • Manufacturing BOM (MBOM): Structure and operations required to manufacture the product.
  • Service BOM: Structure needed for maintenance, replacement, and field support.
  • As-designed configuration: Approved engineering definition.
  • As-built configuration: What was actually produced, including authorized deviations.
  • As-maintained configuration: Current state after service or modification.

BOM consistency requires more than matching item counts. The following relationships should be checked:

  • every BOM item has an approved part definition;
  • every drawing item number maps to the correct part number;
  • quantities and units are correct;
  • phantom, purchased, and manufactured items are classified correctly;
  • substitutes and alternates are authorized;
  • revision and effectivity rules agree across parent and child items;
  • assembly drawings, CAD structures, ERP records, and inspection documents are aligned.

Worked application: detecting a BOM inconsistency

Suppose an assembly drawing lists eight bolts, but the EBOM contains six bolts. The CAD model also contains eight, while the ERP manufacturing BOM contains six. This is not merely a clerical discrepancy. If the bolts attach a rotating guard, two fasteners may be omitted from purchasing, assembly, and inspection.

A controlled resolution would be:

  1. Place the assembly on hold for affected work orders.
  2. Identify the authoritative product definition and determine design intent.
  3. Review the drawing, model, engineering BOM, manufacturing BOM, and change history.
  4. Confirm the required quantity through design review and, if necessary, analysis or prototype inspection.
  5. Raise a change record if the approved definition must be modified.
  6. Correct all affected records under one controlled implementation.
  7. Define effectivity for open orders and already-built units.
  8. Verify purchasing, assembly, and inspection records.
  9. Close the discrepancy with evidence.

The important lesson is that synchronization should be controlled by relationships and workflow, not by informal comparison of filenames.

7. PLM Architecture and Digital Collaboration

A PLM environment typically connects people, processes, product data, and enterprise systems. A simplified architecture includes:

  • CAD and model-authoring tools;
  • a product-data or PLM repository;
  • workflow and electronic-signature functions;
  • requirements, change, and configuration management;
  • BOM and classification services;
  • integration with ERP, MES, quality, procurement, and service systems;
  • dashboards, search, access control, and audit logging.

PLM is not simply a file-storage application. Its value comes from relationships: a drawing is related to a part, the part to an assembly, the assembly to a BOM, the BOM to an order, and the change record to every affected object.

Digital collaboration practices

Distributed teams require explicit rules for check-out, simultaneous editing, review comments, file naming, time zones, and communication channels. Email should not be the primary mechanism for controlling revisions. Review comments should be attached to the controlled object or recorded in a traceable review system.

Useful practices include:

  • use role-based access rather than shared passwords;
  • distinguish working, review, and released areas;
  • synchronize metadata automatically where possible;
  • use neutral formats for supplier exchange when native files cannot be shared;
  • preserve native files and derived formats under controlled relationships;
  • record who changed what, when, and why;
  • test integrations after system upgrades;
  • maintain recovery plans and verified backups.

Model-based definition

In model-based definition, the 3D model carries dimensions, tolerances, annotations, materials, and other product information, reducing reliance on separate 2D views. MBD can improve consistency, but it does not remove the need for clear semantic annotations, viewing standards, inspection capability, revision control, and human understanding. A model that is geometrically accurate but poorly annotated remains an inadequate product definition.

8. Quality-System and Governance Considerations

Drawing control supports quality-management principles such as documented information, process control, risk-based thinking, competence, evidence-based decision-making, and continual improvement. Organizations commonly align their procedures with recognized quality and configuration-management standards, contractual requirements, and sector-specific regulations. The exact standard depends on industry and jurisdiction; procedures must therefore identify applicable requirements rather than assuming that one generic workflow satisfies every context.

Auditability

An auditor or investigator should be able to determine:

  • who created and checked the document;
  • who approved and released it;
  • which revision was effective at a particular time;
  • what changed and why;
  • which products, orders, suppliers, or customers were affected;
  • what verification and validation evidence exists;
  • whether nonconforming or unauthorized use occurred.

Audit trails must be protected from inappropriate alteration. Electronic signatures should be attributable to individuals and linked to the exact approved content. A signature on a general workflow step is weak evidence if the document can subsequently be replaced without generating a new approval.

Metrics

Useful measures include change-cycle time, overdue reviews, number of use-as-is deviations, drawing-related defects, BOM discrepancies, unauthorized-document findings, first-pass approval rate, and time required to identify affected products. Metrics should be interpreted carefully. Reducing change-cycle time is not beneficial if it increases escapes or incomplete impact analysis.

9. Ethical, Legal, and Cybersecurity Responsibilities

Engineers have a professional duty to protect safety, reliability, and the public interest. Deliberately concealing a defect, backdating an approval, bypassing a required check, or releasing an unverified change is unethical and may be illegal. Production pressure does not justify falsifying records.

Design data may also contain intellectual property, export-controlled technology, personal information, or customer-confidential information. Access should be limited according to legitimate need. Suppliers should receive only the information required for their work, with contractual controls for retention, onward disclosure, and cyber protection.

Cybersecurity risks include ransomware, credential theft, malicious modification of CAD files, compromised supplier systems, and unauthorized cloud sharing. Controls should include multifactor authentication where appropriate, least-privilege access, segregation of duties, malware protection, logging, backups, incident response, and recovery testing. Availability is a quality concern: if authorized users cannot retrieve the correct drawing during production, the information system has failed its operational purpose.

10. Artificial Intelligence and Emerging Practice

AI can assist with drawing comparison, optical recognition of title blocks, tolerance-rule checking, duplicate-part detection, BOM anomaly identification, search, and automated classification. These tools can reduce routine effort, but their outputs are recommendations rather than engineering approval. AI may misinterpret ambiguous symbols, fail to recognize context, or produce confident but incorrect conclusions.

A responsible AI-assisted workflow should:

  1. define the task and acceptable error level;
  2. preserve the original controlled data;
  3. record the tool, model, and input used;
  4. require competent human review for consequential decisions;
  5. test performance on representative data;
  6. protect confidential and regulated information;
  7. prevent automatic release without authorized approval.

Emerging practices include digital twins, semantic product definitions, automated design-rule checking, additive-manufacturing process traceability, and connected field-service records. Their success depends less on novelty than on strong identifiers, reliable relationships, disciplined governance, and organizational competence.

11. Illustrative Case Study: Correcting a Safety-Guard Configuration Error

Background

A fictional machine manufacturer produces a belt-driven industrial unit. The safety guard is defined by a CAD assembly, a 2D fabrication drawing, an engineering BOM, a manufacturing BOM, and an inspection checklist. The company recently changed the guard fasteners from six to eight to improve stiffness.

Problem

A field audit discovers that the released assembly drawing shows eight fasteners, but the manufacturing BOM and inspection checklist still specify six. Two production batches were built using six fasteners. The change request was approved, but the implementation did not update all related documents.

Analysis

The discrepancy affects structural stiffness, assembly instructions, purchasing quantities, inspection criteria, spare-part records, and completed serial numbers. Because the guard is a safety-related component, the issue requires immediate containment. The change history shows that the drawing was revised, but no impact-analysis checklist forced review of downstream documents.

Approach and solution

The organization first identifies all affected serial numbers and stops shipment of units not yet released. Engineering and safety personnel assess whether the six-fastener configuration meets the required protective performance. Quality reviews inspection and deviation records. Procurement checks remaining stock, while service identifies fielded units.

The company then creates a controlled change implementation package containing:

  • revised engineering and manufacturing BOMs;
  • updated assembly and inspection instructions;
  • revised guard drawing and model metadata;
  • a serial-number effectivity statement;
  • retrofit instructions for affected machines;
  • verification evidence and approval records.

The PLM workflow is improved so that a change to a safety-related part automatically prompts review of parent assemblies, BOMs, work instructions, inspection plans, and service documents.

Outcome

The manufacturer confirms that all future units use the eight-fastener configuration. Affected units are inspected and retrofitted where required. The audit trail demonstrates containment, technical evaluation, implementation, and closure. The organization also adds a mandatory cross-functional impact review for safety-related changes.

Learning points

  1. A drawing revision alone does not constitute complete change implementation.
  2. Effectivity is necessary to identify affected units.
  3. BOM, inspection, manufacturing, and service records must be treated as connected information.
  4. Risk-based workflows should apply stronger controls to safety-significant items.
  5. A good PLM system supports disciplined decisions but cannot replace engineering judgment.

12. Best-Practice Framework for Students and Practitioners

When designing or evaluating a drawing-control system, use the following sequence:

  1. Map the product information flow from design to service.
  2. Identify authoritative records and responsible roles.
  3. Establish numbering, revision, status, and effectivity rules.
  4. Define independent checking and approval requirements.
  5. Link drawings, models, specifications, BOMs, and processes.
  6. Create risk-based change and configuration workflows.
  7. Control access, signatures, distribution, and archival.
  8. Test retrieval, recovery, and integration with enterprise systems.
  9. Measure defects, delays, discrepancies, and unauthorized use.
  10. Improve the process using evidence rather than convenience.

The central principle is simple: the right product information must be identifiable, approved, accessible, protected, and traceable throughout the product lifecycle.

Challenges and Limitations

No control system eliminates all risk. Poor requirements, ambiguous design intent, inadequate training, weak leadership, excessive bureaucracy, incompatible software, and supplier nonconformance can defeat a technically capable PLM system. Excessive approval layers may encourage workarounds, while insufficient control permits unsafe improvisation. Data migration can introduce duplicate parts, lost relationships, or incorrect revisions. Cloud systems improve accessibility but create dependency on connectivity, vendors, cybersecurity, and contractual controls.

Therefore, drawing control should be proportionate to risk. The objective is not to create paperwork; it is to ensure that engineering decisions are communicated accurately and that their consequences can be understood and managed.

Chapter Summary

Drawing control manages the identity, status, checking, approval, release, revision, distribution, and retention of engineering information. PLM extends these controls across the product lifecycle and connects drawings, CAD models, specifications, BOMs, manufacturing records, service information, and change history.

Unique identification, authoritative sources, assigned responsibility, visible status, controlled change, access protection, and retrievability are fundamental principles. Checking examines technical completeness; approval accepts responsibility; release authorizes use; revision records an approved change; and configuration control establishes which combination of product data applies to a particular unit or period.

Engineering changes require impact analysis, authorization, implementation, verification, validation, effectivity, communication, and closure. BOM consistency is essential because engineering, manufacturing, service, and as-built structures may differ but must remain related and controlled. Digital collaboration, MBD, AI assistance, cybersecurity, auditability, and electronic signatures create significant opportunities, but each requires governance and competent human oversight.

The strategic purpose of drawing control is to make product information trustworthy. When information is trustworthy, organizations reduce defects, support compliance, improve manufacturing performance, and preserve the technical history needed for safe and economical product management.

Key Terms

Drawing control: Systematic management of engineering drawings from creation through retention.

Product Lifecycle Management (PLM): Management of product information, processes, and configurations throughout the product life.

Product definition: Approved information required to identify, make, inspect, operate, and maintain a product.

Revision: Formally recognized change to an approved document.

Version: A saved state of a file, whether approved or working.

Release: Authorization to make a document available for a defined use.

Baseline: Formally established set of approved product information.

Configuration: Defined combination of product items and their approved states.

Effectivity: Identification of the products, dates, serial numbers, or lots to which a change applies.

Engineering change: Controlled modification to product definition or related information.

Change-control board: Authorized cross-functional group that evaluates and approves changes.

BOM: Bill of Materials; structured list of components, quantities, and relationships.

EBOM: Engineering Bill of Materials representing the designed product structure.

MBOM: Manufacturing Bill of Materials representing manufacturing requirements.

Traceability: Ability to follow information origin, history, approval, and use.

Model-based definition: Product definition in which the 3D model carries authoritative product information.

Verification: Evaluation of whether specified requirements have been satisfied.

Validation: Evaluation of whether the product meets intended use.

Configuration management: Discipline of identifying, controlling, accounting for, and auditing product configurations.

As-built configuration: Recorded state of what was actually produced.

Review Questions

Short Answer Questions

  1. What is the difference between a drawing revision and a file version?
  2. Why is unique identification important in PLM?
  3. Distinguish checking, approval, and release.
  4. What is effectivity, and why is it needed?
  5. State two risks associated with uncontrolled engineering changes.

Long Answer Questions

  1. Explain the complete drawing-control workflow from creation to obsolescence.
  2. Describe how configuration management supports manufacturing and service traceability.
  3. Compare EBOM, MBOM, service BOM, as-designed, and as-built configurations.
  4. Explain the stages of a controlled engineering-change process.
  5. Discuss the benefits and limitations of digital collaboration and model-based definition.

Analytical / Application Questions

  1. An assembly drawing, CAD model, and ERP BOM show different quantities for the same fastener. Develop a controlled investigation and corrective-action plan.
  2. A supplier requests permission to use a previous drawing revision because material for the current revision is unavailable. Identify the technical, quality, contractual, and configuration decisions required before responding.
  3. Design an approval and change workflow for a safety-critical machine component. Explain how roles, effectivity, verification, validation, audit trails, and field actions should be managed.

Multiple Choice Questions with Answers

Question 1

Which activity primarily confirms that a drawing is technically complete and internally consistent before approval?

A. Independent checking

B. Document archiving

C. Product shipment

D. Supplier invoicing

Correct Answer: A. Independent checking

Question 2

What is the main purpose of effectivity in configuration control?

A. To define the drawing scale

B. To identify where or when a change applies

C. To calculate material density

D. To assign a CAD software license

Correct Answer: B. To identify where or when a change applies

Question 3

Which statement best distinguishes a revision from a version?

A. A revision is always temporary, while a version is always released

B. A revision is a formally approved change, while a version may be any saved file state

C. A revision applies only to BOMs, while a version applies only to drawings

D. There is no practical distinction

Correct Answer: B. A revision is a formally approved change, while a version may be any saved file state

Question 4

Which BOM most directly represents the product structure as designed by engineering?

A. Engineering BOM

B. Payroll BOM

C. Shipping BOM

D. Invoice BOM

Correct Answer: A. Engineering BOM

Question 5

What should normally occur first when a potentially safety-significant engineering change is proposed?

A. Delete the previous revision

B. Perform an impact analysis and define the affected items

C. Send an uncontrolled copy to all suppliers

D. Close the change record

Correct Answer: B. Perform an impact analysis and define the affected items

Question 6

Which statement about verification and validation is correct?

A. Verification concerns specified requirements, while validation concerns intended use

B. Verification and validation are identical terms in all contexts

C. Validation is performed only by purchasing personnel

D. Verification occurs only after product disposal

Correct Answer: A. Verification concerns specified requirements, while validation concerns intended use

Question 7

Why should a released drawing not be silently edited?

A. It increases file size

B. It destroys traceability and may cause unauthorized use of changed information

C. It prevents printing in color

D. It changes the physical material automatically

Correct Answer: B. It destroys traceability and may cause unauthorized use of changed information

Question 8

Which practice best supports digital collaboration in a PLM environment?

A. Using shared passwords for convenience

B. Sending every revision only by email

C. Using role-based access and traceable workflow records

D. Allowing all users to overwrite released files

Correct Answer: C. Using role-based access and traceable workflow records

Question 9

What is a key limitation of AI-assisted drawing checking?

A. AI can never compare two files

B. AI outputs may be incorrect and require competent human review

C. AI eliminates the need for configuration control

D. AI automatically provides legal approval

Correct Answer: B. AI outputs may be incorrect and require competent human review

Question 10

Which configuration describes what was actually produced, including authorized deviations where applicable?

A. As-designed configuration

B. As-built configuration

C. Concept configuration

D. Obsolete configuration

Correct Answer: B. As-built configuration

Engineering Drawing
Chapter 13 of 14