Glossary / Lexicon

Deutsch: Anerkannte Praxis / Español: Práctica aceptada / Português: Prática aceita / Français: Pratique reconnue / Italiano: Pratica accettata

In quality management, accepted practice refers to a method, procedure, or standard that has gained widespread recognition and application within an industry or professional field due to its proven effectiveness, reliability, and alignment with regulatory or normative requirements. Unlike formal standards, which are often codified by standardization bodies, accepted practices emerge from collective experience, empirical validation, and consensus among practitioners, serving as a benchmark for operational excellence and compliance.

General Description

Accepted practice represents a dynamic and evolving concept in quality management, bridging the gap between rigid formal standards and the practical realities of industrial or organizational processes. It encompasses techniques, workflows, or guidelines that have demonstrated consistent success in achieving desired outcomes, such as product quality, process efficiency, or risk mitigation. These practices are typically documented in industry publications, technical manuals, or organizational handbooks, though they may not always carry the legal or contractual weight of formal standards like ISO 9001 or IATF 16949.

The distinction between accepted practice and formal standards lies in their origin and enforcement. While standards are developed through structured, often multi-year processes involving stakeholders from academia, industry, and regulatory bodies, accepted practices arise organically from repeated application and validation in real-world settings. For example, the use of statistical process control (SPC) in manufacturing is an accepted practice that predates its formalization in standards like ISO 22514. Over time, such practices may be adopted into formal standards if they prove universally applicable and critical to quality assurance.

Accepted practices are particularly valuable in industries where rapid technological advancements or niche applications outpace the development of formal standards. In these contexts, they provide a flexible framework for organizations to adopt best-in-class methodologies without waiting for regulatory updates. However, their informal nature also introduces challenges, such as variability in interpretation, lack of uniform documentation, and potential conflicts with emerging formal standards. To mitigate these risks, organizations often align accepted practices with existing standards, ensuring compatibility while retaining the agility to adapt to new challenges.

Another critical aspect of accepted practice is its role in continuous improvement. Organizations frequently refine or replace accepted practices based on performance data, feedback from audits, or advancements in technology. This iterative process ensures that practices remain relevant and effective, even as industry requirements evolve. For instance, the shift from paper-based quality records to digital quality management systems (QMS) has led to the adoption of new accepted practices for data integrity, cybersecurity, and real-time monitoring, reflecting the broader trend toward Industry 4.0.

The validation of an accepted practice typically involves a combination of empirical evidence, peer review, and benchmarking against industry leaders. Organizations may conduct internal audits, participate in industry forums, or collaborate with external consultants to assess the efficacy of a practice. Additionally, regulatory bodies or industry associations may endorse certain practices through guidelines or white papers, further solidifying their status as accepted. For example, the U.S. Food and Drug Administration (FDA) publishes guidance documents that outline accepted practices for pharmaceutical manufacturing, which, while not legally binding, are widely adopted to ensure compliance with regulatory expectations.

Technical Details

Accepted practices in quality management are often categorized based on their scope and application. Common categories include:

• Process-specific practices: These focus on optimizing individual processes, such as heat treatment in metallurgy or sterilization in medical device manufacturing. For example, the use of controlled atmospheres in heat treatment to prevent oxidation is an accepted practice in aerospace and automotive industries.
• Systemic practices: These address overarching quality management systems, such as the implementation of Plan-Do-Check-Act (PDCA) cycles or the integration of risk management frameworks like Failure Mode and Effects Analysis (FMEA). The PDCA cycle, originally developed by Walter A. Shewhart, is now an accepted practice for continuous improvement across industries.
• Compliance-driven practices: These are adopted to meet regulatory or customer-specific requirements. For instance, the adoption of Good Manufacturing Practices (GMP) in the pharmaceutical industry is an accepted practice to ensure compliance with regulations like the FDA's 21 CFR Part 211 or the European Union's EudraLex Volume 4.

Normative references play a crucial role in defining the boundaries of accepted practices. Organizations often align their practices with international standards such as ISO 9000 (quality management), ISO 14001 (environmental management), or industry-specific standards like AS9100 (aerospace) or ISO 13485 (medical devices). While these standards do not prescribe every operational detail, they provide a framework within which accepted practices can be developed and validated. For example, ISO 9001:2015 emphasizes the importance of risk-based thinking, which has led to the widespread adoption of accepted practices for risk assessment and mitigation in quality management systems.

Accepted practices also intersect with emerging technologies, particularly in fields like artificial intelligence (AI) and data analytics. For instance, the use of machine learning algorithms to predict equipment failures or optimize production schedules is becoming an accepted practice in smart manufacturing. However, the lack of formal standards for AI in quality management poses challenges, as organizations must rely on internal validation and industry benchmarks to ensure the reliability of these practices. The International Organization for Standardization (ISO) and the International Electrotechnical Commission (IEC) are currently developing standards like ISO/IEC 42001 (AI management systems) to address this gap.

Historical Development

The concept of accepted practice has its roots in the early 20th century, coinciding with the rise of industrial standardization. Pioneers like Frederick Winslow Taylor and Walter A. Shewhart laid the groundwork for systematic quality management by introducing scientific methods to industrial processes. Taylor's principles of scientific management, published in 1911, emphasized the importance of standardized work methods, which can be seen as an early form of accepted practice. Similarly, Shewhart's development of statistical quality control in the 1920s introduced accepted practices for monitoring and improving production processes, long before these methods were formalized in standards like ISO 2859 (sampling procedures for inspection).

The post-World War II era saw a significant expansion of accepted practices, driven by the need for rapid industrialization and quality assurance in sectors like automotive and aerospace. The establishment of the American Society for Quality (ASQ) in 1946 and the publication of the first ISO standards in the 1980s further institutionalized the role of accepted practices in quality management. During this period, practices such as Total Quality Management (TQM) and Six Sigma gained prominence, becoming widely accepted as methodologies for achieving operational excellence. TQM, for example, emerged as an accepted practice in the 1980s, influenced by the work of quality gurus like W. Edwards Deming and Joseph M. Juran, before being partially integrated into formal standards like ISO 9001.

The digital revolution of the late 20th and early 21st centuries has accelerated the evolution of accepted practices, particularly in areas like data management and cybersecurity. The adoption of digital quality management systems (QMS) has led to new accepted practices for data integrity, such as the use of electronic signatures and audit trails, which are now codified in regulations like FDA 21 CFR Part 11. Similarly, the rise of Industry 4.0 has introduced accepted practices for real-time monitoring, predictive maintenance, and digital twinning, which are increasingly being adopted across manufacturing sectors. These developments highlight the dynamic nature of accepted practices, which continuously adapt to technological and regulatory changes.

Application Area

• Manufacturing: In manufacturing, accepted practices are used to optimize production processes, ensure product consistency, and comply with regulatory requirements. Examples include the use of statistical process control (SPC) to monitor production variability, the implementation of lean manufacturing principles to reduce waste, and the adoption of automated inspection systems to improve quality assurance. These practices are particularly critical in industries like automotive, aerospace, and medical devices, where product defects can have severe consequences.
• Healthcare: In healthcare, accepted practices are essential for ensuring patient safety, regulatory compliance, and operational efficiency. Examples include the use of Good Manufacturing Practices (GMP) in pharmaceutical production, the implementation of risk management frameworks like Failure Mode and Effects Analysis (FMEA) for medical devices, and the adoption of electronic health records (EHR) to improve data accuracy and accessibility. Regulatory bodies like the FDA and the European Medicines Agency (EMA) often reference accepted practices in their guidance documents to help organizations meet compliance requirements.
• Construction: In the construction industry, accepted practices are used to ensure structural integrity, safety, and compliance with building codes. Examples include the use of standardized testing methods for materials like concrete and steel, the implementation of quality management systems (QMS) to monitor project progress, and the adoption of Building Information Modeling (BIM) to improve collaboration and reduce errors. Organizations like the American Society for Testing and Materials (ASTM) and the International Code Council (ICC) provide guidelines that reflect accepted practices in construction.
• Information Technology: In IT, accepted practices are critical for ensuring data security, system reliability, and compliance with regulations like the General Data Protection Regulation (GDPR). Examples include the use of encryption to protect sensitive data, the implementation of IT service management frameworks like ITIL (Information Technology Infrastructure Library), and the adoption of DevOps practices to improve software development and deployment. The ISO/IEC 27001 standard for information security management systems (ISMS) provides a framework for aligning accepted practices with formal requirements.

Well Known Examples

• Statistical Process Control (SPC): SPC is an accepted practice in manufacturing that uses statistical methods to monitor and control production processes. It was developed by Walter A. Shewhart in the 1920s and has since become a cornerstone of quality management in industries like automotive, aerospace, and electronics. SPC techniques, such as control charts and process capability analysis, are widely used to detect and correct process variations before they result in defects.
• Good Manufacturing Practices (GMP): GMP is an accepted practice in the pharmaceutical, food, and medical device industries, ensuring that products are consistently produced and controlled according to quality standards. GMP guidelines, such as those published by the FDA and the World Health Organization (WHO), outline accepted practices for facility design, equipment maintenance, personnel training, and documentation. Compliance with GMP is often a regulatory requirement for market authorization.
• Plan-Do-Check-Act (PDCA) Cycle: The PDCA cycle, also known as the Deming Cycle, is an accepted practice for continuous improvement in quality management. It involves four iterative steps: planning a change, implementing the change, checking the results, and acting on the findings to standardize or adjust the process. The PDCA cycle is widely used in industries ranging from manufacturing to healthcare and is a key component of standards like ISO 9001.
• Failure Mode and Effects Analysis (FMEA): FMEA is an accepted practice for identifying and mitigating potential failures in products, processes, or systems. It involves a systematic analysis of failure modes, their causes, and their effects, followed by the implementation of corrective actions to reduce risk. FMEA is widely used in industries like automotive, aerospace, and medical devices, where product reliability is critical. It is also referenced in standards like IATF 16949 and ISO 14971 (medical devices).

Risks and Challenges

• Lack of Standardization: One of the primary risks associated with accepted practices is the lack of uniform documentation and interpretation. Unlike formal standards, which are developed through structured processes and subject to rigorous review, accepted practices may vary significantly between organizations or industries. This variability can lead to inconsistencies in implementation, making it difficult to benchmark performance or ensure compliance with regulatory requirements. For example, an accepted practice for data integrity in one organization may not align with the expectations of regulatory bodies like the FDA or EMA, leading to compliance gaps.
• Over-Reliance on Informal Sources: Accepted practices often emerge from informal sources, such as industry forums, technical publications, or organizational handbooks, which may not undergo the same level of scrutiny as formal standards. This reliance on informal sources can introduce risks, such as the adoption of outdated or ineffective practices, or the propagation of misinformation. Organizations must validate accepted practices through empirical evidence, peer review, or alignment with formal standards to mitigate these risks.
• Conflict with Formal Standards: Accepted practices may sometimes conflict with formal standards, particularly if the latter are updated or revised. For example, an accepted practice for equipment calibration in manufacturing may no longer align with the requirements of a revised ISO standard, leading to non-compliance. Organizations must regularly review and update their accepted practices to ensure compatibility with formal standards and regulatory expectations.
• Resistance to Change: The adoption of new accepted practices can be hindered by organizational resistance to change, particularly in industries with long-standing traditions or established workflows. Employees may be reluctant to abandon familiar practices, even if they are no longer effective, leading to stagnation and reduced competitiveness. To overcome this challenge, organizations must foster a culture of continuous improvement and provide training and support for the adoption of new practices.
• Legal and Liability Risks: In some cases, the adoption of accepted practices may not provide sufficient legal protection in the event of a product failure or regulatory violation. Unlike formal standards, which often carry legal or contractual weight, accepted practices may not be recognized as a defense in legal proceedings. Organizations must ensure that their accepted practices are aligned with formal standards and regulatory requirements to minimize legal and liability risks.

Similar Terms

• Best Practice: Best practice refers to a method or technique that has consistently shown superior results compared to other approaches. While similar to accepted practice, best practices are often more prescriptive and may be based on a narrower set of criteria, such as performance benchmarks or industry awards. Best practices are typically documented in case studies, white papers, or industry reports and may be adopted as accepted practices over time if they gain widespread recognition.
• Standard Operating Procedure (SOP): An SOP is a detailed, written instruction that outlines the steps required to perform a specific task or process. SOPs are often derived from accepted practices and formal standards, providing a standardized approach to operational activities. Unlike accepted practices, which may be more flexible and adaptable, SOPs are typically rigid and must be followed precisely to ensure consistency and compliance.
• Industry Standard: An industry standard is a formal document developed by a standardization body, such as ISO, IEC, or ASTM, that outlines requirements, specifications, or guidelines for a specific product, process, or system. Industry standards are legally or contractually binding and must be adhered to by organizations seeking certification or compliance. Unlike accepted practices, which emerge organically from industry experience, industry standards are developed through structured processes involving stakeholders from academia, industry, and regulatory bodies.
• Guideline: A guideline is a recommendation or suggestion for best practices, often published by regulatory bodies, industry associations, or professional organizations. Guidelines are typically less prescriptive than formal standards but may be adopted as accepted practices if they gain widespread recognition. For example, the FDA publishes guidelines for pharmaceutical manufacturing that outline accepted practices for ensuring product quality and compliance with regulatory requirements.

Articles with 'Accepted practice' in the title

• 3-A Accepted Practices: 3A Sanitary Standards Set- COMPLETE 01-Jan-2006 - Complete Set of 81 3-A Sanitary Standards, 3-A Accepted Practices and E-3-A . . .
• 3a 603-07 Accepted Practice: 3a 603-07 Accepted Practice: Title: Sanitary Construction, Installation, Testing, and Operation of High-Temperature Short-Time and Higher-Heat Shorter-time Pasteurizer Systems . . .
• 3a 605-04 Accepted Practice: 3a 605-04 Accepted Practice: Title: Permanently Installed Product and Solution Pipelines and Cleaning Systems Used in Milk and Milk Product Processing Plants . . .
• 3a 609-03 Accepted Practice: 3a 609-03 Accepted Practice: Title: Method of Producing Culinary Steam . . .

Summary

Accepted practice in quality management represents a critical link between formal standards and the practical realities of industrial and organizational processes. It encompasses methods, procedures, and guidelines that have gained widespread recognition due to their proven effectiveness, reliability, and alignment with regulatory or normative requirements. While accepted practices lack the legal or contractual weight of formal standards, they provide organizations with the flexibility to adopt best-in-class methodologies and adapt to technological advancements. However, their informal nature introduces challenges, such as variability in interpretation, lack of uniform documentation, and potential conflicts with emerging standards. To mitigate these risks, organizations must validate accepted practices through empirical evidence, peer review, and alignment with formal standards, ensuring their continued relevance and effectiveness in achieving quality objectives.

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