{"title":"制造过程与系统 (MaPS) 可持续性分析工具:可持续产品设计和制造工程教学的概念验证","authors":"Kamyar Raoufi, Karl R. Haapala","doi":"10.1115/1.4064071","DOIUrl":null,"url":null,"abstract":"Decision support methods and tools have been developed to aid in improving product sustainability performance during design. However, these approaches are often developed for domain experts and not well-suited for non-expert decision makers (e.g., engineering students and engineering practitioners), who do not possess specialized knowledge in sustainability analysis of product designs and manufacturing processes. The objective of this research is to facilitate the sustainability performance analysis of manufacturing processes and systems through unit manufacturing process (UMP) modeling within an easy-to-use, publicly-available product design and manufacturing analysis tool. To achieve this objective, a sustainability assessment framework is developed that considers a cradle-to-gate life cycle scope. To implement this framework and to address the identified limitations of existing tools, a proof-of-concept Manufacturing Process and System (MaPS) Sustainability Analysis tool is developed as spreadsheet models in MS Excel, which supports evaluation of environmental, economic, and social impacts. While this study focuses on the technical aspects of the research, the authors investigate associated educational aspects in a separate study and report tool operational performance evaluation by undergraduate and graduate engineering students. Study participants found the tool easy-to-use and useful in completing sustainability assessment tasks in product design and manufacturing. To build upon this research, the developed framework and tool can be expanded to consider other phases of the product life cycle. Moreover, key software tool operational characteristics and GUI should be investigated to improve efficiency, effectiveness, satisfaction, and learnability of MaPS tool.","PeriodicalId":507815,"journal":{"name":"Journal of Manufacturing Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Manufacturing Process and System (MaPS) Sustainability Analysis Tool: A Proof-of-Concept for Teaching Sustainable Product Design and Manufacturing Engineering\",\"authors\":\"Kamyar Raoufi, Karl R. Haapala\",\"doi\":\"10.1115/1.4064071\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Decision support methods and tools have been developed to aid in improving product sustainability performance during design. However, these approaches are often developed for domain experts and not well-suited for non-expert decision makers (e.g., engineering students and engineering practitioners), who do not possess specialized knowledge in sustainability analysis of product designs and manufacturing processes. The objective of this research is to facilitate the sustainability performance analysis of manufacturing processes and systems through unit manufacturing process (UMP) modeling within an easy-to-use, publicly-available product design and manufacturing analysis tool. To achieve this objective, a sustainability assessment framework is developed that considers a cradle-to-gate life cycle scope. To implement this framework and to address the identified limitations of existing tools, a proof-of-concept Manufacturing Process and System (MaPS) Sustainability Analysis tool is developed as spreadsheet models in MS Excel, which supports evaluation of environmental, economic, and social impacts. 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引用次数: 0
摘要
人们已经开发了决策支持方法和工具,以帮助在设计过程中提高产品的可持续性性能。然而,这些方法通常是为领域专家开发的,并不适合非专业决策者(如工程专业学生和工程从业人员),因为他们不具备产品设计和制造过程可持续性分析方面的专业知识。本研究的目标是通过在一个易于使用、可公开获取的产品设计和制造分析工具中建立单元制造过程(UMP)模型,促进制造过程和系统的可持续性绩效分析。为实现这一目标,我们开发了一个可持续性评估框架,该框架考虑了 "从摇篮到终点 "的生命周期范围。为了实施这一框架并解决现有工具的局限性,我们开发了一个概念验证型制造工艺和系统(MaPS)可持续性分析工具,作为 MS Excel 中的电子表格模型,支持对环境、经济和社会影响的评估。本研究侧重于研究的技术方面,而作者则在另一项研究中调查了相关的教育方面,并报告了本科生和工程研究生对工具操作性能的评价。研究参与者发现,该工具易于使用,在完成产品设计和制造的可持续性评估任务时非常有用。在这项研究的基础上,开发的框架和工具可以扩展到产品生命周期的其他阶段。此外,还应研究关键软件工具的操作特性和图形用户界面,以提高 MaPS 工具的效率、有效性、满意度和可学性。
Manufacturing Process and System (MaPS) Sustainability Analysis Tool: A Proof-of-Concept for Teaching Sustainable Product Design and Manufacturing Engineering
Decision support methods and tools have been developed to aid in improving product sustainability performance during design. However, these approaches are often developed for domain experts and not well-suited for non-expert decision makers (e.g., engineering students and engineering practitioners), who do not possess specialized knowledge in sustainability analysis of product designs and manufacturing processes. The objective of this research is to facilitate the sustainability performance analysis of manufacturing processes and systems through unit manufacturing process (UMP) modeling within an easy-to-use, publicly-available product design and manufacturing analysis tool. To achieve this objective, a sustainability assessment framework is developed that considers a cradle-to-gate life cycle scope. To implement this framework and to address the identified limitations of existing tools, a proof-of-concept Manufacturing Process and System (MaPS) Sustainability Analysis tool is developed as spreadsheet models in MS Excel, which supports evaluation of environmental, economic, and social impacts. While this study focuses on the technical aspects of the research, the authors investigate associated educational aspects in a separate study and report tool operational performance evaluation by undergraduate and graduate engineering students. Study participants found the tool easy-to-use and useful in completing sustainability assessment tasks in product design and manufacturing. To build upon this research, the developed framework and tool can be expanded to consider other phases of the product life cycle. Moreover, key software tool operational characteristics and GUI should be investigated to improve efficiency, effectiveness, satisfaction, and learnability of MaPS tool.