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As manufacturing firms continue to grow in complexity—driven by increasingly complex products, regulatory demands, and globalised supply chains—errors in specifications, documentation, and their supporting processes have become a critical source of inefficiency and risk. Addressing these challenges requires more than isolated improvements; it requires a comprehensive understanding of how key information and workflows are structured and interrelated throughout the organisation. This paper introduces a structured mapping tool developed to identify and analyse critical specifications, documentation, and the processes in which they are embedded. The approach builds upon a study of literature in process mapping, documentation management, and organisational complexity in a manufacturing context. These theoretical insights inform the design of a mapping framework that extends Integrated Definition (IDEF-0) and Business Process Model and Notation (BPMN) by integrating IT systems, organisational roles, and cross-functional process flows across the entire order flow. A working definition of “critical” is proposed and contextualised within the operational realities of a complex industrial organisation. The framework is applied through a method that traces dependencies and identifies vulnerabilities within processes, specifications, IT and organisations with complex value chains. This approach is illustrated through a case study from a global capital goods manufacturer, where the method was used to support decision-making, improve transparency, and reduce friction throughout the organisation. By linking conceptual development with practical implementation, this work contributes to a structured yet adaptable tool for enhancing clarity and resilience in industrial operations. While the case focuses on capital goods, the proposed approach offers broader relevance across sectors for organisations navigating complexity. The application of the mapping framework facilitates the identification of structural issues in documentation and processes, offering a foundation for targeted interventions that have the potential to enhance operational efficiency and organisational effectiveness.
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Andersen et al. (2026) studied this question.
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