PREMISE/Collaborative Research: Integrating Manufacturing and Ecological Process Models For Ecosystem Impact Valuation: A Problem-Based Learning Approach

这个产品实现和环境制造创新系统（PREMISE）探索性研究项目的目标是建立一个多学科团队，将多个制造工程学科与系统生态学家和城市规划结合在一起，以了解如何将生态系统和社会价值纳入企业决策。 创建支持这一目标的工具将使企业设计能够采取系统的方法，以适当平衡工业活动和人类发展与生态系统健康，并分析从当地流域到全球环境的空间尺度上的流程修改。具体目标是从事“科学工作室”-一个基于问题的学习课程，有参与者，教师和学生，从格鲁吉亚理工学院和佛蒙特大学。具体的个案研究将采用现有的生态系统模式，即帕塔克森特景观模式和格温斯福尔斯景观模式，其中包括城市和农村土地使用以及人类系统发展的压力，并将它们与至少两种不同类型的制造活动联合收割机结合起来。将生态系统模型与制造系统相结合的可能成功建立在这样一个事实上，即两者都使用“单元模型”--将研究中的系统方便地分解为可重复使用的组件，并解决由此产生的瞬态质量和能量平衡。 关键的挑战是弥合建模社区之间的概念和术语差距，确定模型的适当缩放和抽象，以便传输的数据与可用的信息相匹配，并了解制造决策如何受到生态系统资本和服务估值的影响。 确保环境质量正在成为工业化国家的一个关键社会目标。 该项目将使研究了解我们如何在设计和运营多样化的制造系统时，对我们赖以建立财富的生态系统服务进行估值和核算。

The goal of this Product Realization and Environmental Manufacturing Innovative Systems (PREMISE) Exploratory Research project is to establish a multi-disciplinary team that brings together several manufacturing engineering disciplines with system ecologists and city planning to understand how ecosystem and social valuations can be integrated into enterprise decision-making. The creation of tools that support this goal will enable systematic approaches to enterprise design to appropriately balance industrial activity and human development with ecosystem health, and the analysis of process modifications at spatial scales that span the local watershed to the global environment. The specific objective is to engage in a "scientific atelier" - a problem-based learning course that has participants, faculty and students, from Georgia Tech and the University of Vermont. The specific case studies will take existing ecosystem models, Patuxent Landscape and the Gwynns Falls Landscape Models, which contain both urban and rural land use and pressures for human system development, and combine them with at least two different types of manufacturing activities. The probable success of integrating models of ecosystems with manufacturing systems is built on the fact that both use "unit models" - convenient decompositions of the systems under study into re-useable components, and solve the resulting transient mass and energy balances. The key challenges are bridging conceptual and terminological gaps between the modeling communities, determining the appropriate scaling and abstractions of the models such that data that is transferred matches the information that is available, and understanding how manufacturing decisions can and should be influenced by ecosystem capital and service valuations. Ensuring environmental quality is emerging as a key societal goal for industrialized nations. This project will enable research on understanding how we can value, and account for, the ecosystem services upon which we build our wealth as we design and operate diverse manufacturing systems.