Engineering Knowledge for target-driven sustainable product development

目标驱动的可持续产品开发的工程知识

• 批准号: 523870276
• 负责人: Professor Dr.-Ing. Rainer Stark
• 金额: --
• 依托单位: Fachgebiet Industrielle Informationstechnik
• 依托单位国家: 德国
• 项目类别: Research Grants
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/523870276?language=en
• 关键词: Engineering; Knowledge; target; driven; sustainable

The proposed project aims to develop a digital tool to support engineers in their decisions on how to successfully integrate strategic sustainability goals into the design and execution phases. Currently, companies have to make considerable efforts to find suitable methods and tools for their sustainability challenges and goals. Engineers in particular are not sufficiently supported in integrating strategic sustainability goals into the product development and design process. The Engineering Knowledge is a method to be implemented in a digital tool. It includes four core functionalities to achieve the presented goal: 1. recording companies' sustainability goals and preparing them through quantifiable indicators. 2. linking target indicators with product characteristics in the form of a Product Integrated Sustainability Model (PRISMo) based on the LCA methodology 3. interface for sustainability-related product data from the companies' data stock to the PRISMo 4. user interface for the engineer to control and adapt data processing and extract information to support design decisions. To build the decision support capability of Engineering Knowledge, two demonstrators are used. One is a PET bottle, acting as a simple product of manageable size and complexity, and the other is a pump system to evaluate the scalability of Engineering Knowledge.

该项目旨在开发一种数字工具，以支持工程师决定如何将战略可持续性目标成功地整合到设计和执行阶段。目前，公司必须做出相当大的努力，为其可持续性挑战和目标找到合适的方法和工具。特别是工程师在将战略可持续性目标纳入产品开发和设计过程方面得不到充分的支持。工程知识是一种在数字工具中实现的方法。它包括四个核心功能，以实现所提出的目标：1。记录公司的可持续发展目标，并通过可量化的指标来制定这些目标。2.以基于生命周期评估方法的产品综合可持续性模型（PRISMo）的形式将目标指标与产品特性联系起来3.从公司数据库到PRISMo 4的可持续性相关产品数据接口。用户界面，供工程师控制和调整数据处理并提取信息以支持设计决策。为了建立工程知识的决策支持能力，使用了两个演示器。一个是PET瓶，作为一个简单的产品，可管理的大小和复杂性，另一个是泵系统，以评估工程知识的可扩展性。