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首页> 外文期刊>Journal of Industrial Engineering and Management >What do information reuse and automated processing require in engineering design? Semantic process
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What do information reuse and automated processing require in engineering design? Semantic process

机译：在工程设计中，信息重用和自动化处理有哪些要求？语义过程

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Purpose: The purpose of this study is to characterize, analyze, and demonstrate machine-understandable semantic process for validating, integrating, and processing technical design information. This establishes both a vision and tools for information reuse and semi-automatic processing in engineering design projects, including virtual machine laboratory applications with generated components.Design/methodology/approach: The process model has been developed iteratively in terms of action research, constrained by the existing technical design practices and assumptions (design documents, expert feedback), available technologies (pre-studies and experiments with scripting and pipeline tools), benchmarking with other process models and methods (notably the RUP and DITA), and formal requirements (computability and the critical information paths for the generated applications). In practice, the work includes both quantitative and qualitative components.Findings: Technical design processes may be greatly enhanced in terms of semantic process thinking, by enriching design information, and automating information validation and transformation tasks. Contemporary design information, however, is mainly intended for human consumption, and needs to be explicitly enriched with the currently missing data and interfaces. In practice, this may require acknowledging the role of technical information or knowledge engineer, to lead the development of the semantic design information process in a design organization. There is also a trade-off between machine-readability and system complexity that needs to be studied further, both empirically and in theory.Research limitations/implications: The conceptualization of the semantic process is essentially an abstraction based on the idea of progressive design. While this effectively allows implementing semantic processes with, e.g., pipeline technologies, the abstraction is valid only when technical design is organized into reasonably distinct tasks.Practical implications: Our work points out a best practice for technical information management in progressive design that can be applied on different levels.Social implications: Current design processes may be somewhat impaired by legacy practices that do not promote information reuse and collaboration beyond conventional task domains. Our work provides a reference model to analyze and develop design activities as formalized work-flows. This work should lead into improved industry design process models and novel CAD/CAM/PDM applications, thereby strengthening industry design processes.Originality/value: While extensively studied, semantic modeling in technical design has been largely dominated by the idea of capturing design artifacts without a clear rationale why this is done and what level of detail should be favored in models. In the semantic process presented in this article, the utility and the chief quality criteria of semantic models (of technical information and artifacts) are explicitly established by the semantic processing pipeline(s). This constructively explains the significance of semantic models as communication and information requirement interfaces, with concrete use cases.
机译：目的：本研究的目的是表征，分析和演示用于验证，集成和处理技术设计信息的机器可理解的语义过程。这为工程设计项目（包括具有生成的组件的虚拟机实验室应用程序）中的信息重用和半自动处理建立了愿景和工具。设计/方法/方法：过程模型是在行动研究方面迭代开发的，受限制现有的技术设计实践和假设（设计文件，专家反馈），可用技术（使用脚本和管道工具进行的预研究和实验），与其他过程模型和方法（尤其是RUP和DITA）进行基准测试以及形式要求（可计算性）以及生成的应用程序的关键信息路径）。在实践中，该工作包括定量和定性两个部分。发现：通过丰富设计信息以及自动化信息验证和转换任务，可以在语义过程思维方面大大增强技术设计过程。但是，当代的设计信息主要是供人类使用的，需要通过当前缺少的数据和接口来显式丰富。在实践中，这可能需要确认技术信息或知识工程师的角色，以领导设计组织中语义设计信息过程的开发。在机器可读性和系统复杂性之间还有一个权衡，需要从经验和理论上进行进一步研究。研究局限/含义：语义过程的概念化本质上是基于渐进设计思想的抽象。虽然这有效地允许使用例如管道技术来实现语义过程，但是仅当将技术设计组织为合理不同的任务时，抽象才有效。实际意义：我们的工作指出了可用于渐进设计的技术信息管理的最佳实践社会影响：现有设计可能会在一定程度上损害当前的设计流程，这些传统实践不会促进常规任务域之外的信息重用和协作。我们的工作提供了参考模型，以作为正式的工作流程来分析和开发设计活动。这项工作应该导致改进的工业设计过程模型和新颖的CAD / CAM / PDM应用程序，从而加强工业设计过程。原创性/价值：在广泛研究中，技术设计中的语义建模主要由捕获设计工件的想法主导，而没有有一个明确的理由说明为什么要这样做，以及模型应支持什么级别的细节。在本文介绍的语义过程中，语义处理管道明确建立了（技术信息和工件的）语义模型的效用和主要质量标准。这以具体的用例来建设性地解释语义模型作为通信和信息需求接口的重要性。

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