GOALI: Data Driven Remanufacturing: Foundation for Modeling the Impact of Product Middle-of-Life Data on End-of-Life Recovery Decisions

GOALI:数据驱动的再制造:产品中期数据对报废恢复决策影响建模的基础

基本信息

  • 批准号:
    2017971
  • 负责人:
  • 金额:
    $ 14.83万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-01-01 至 2021-07-31
  • 项目状态:
    已结题

项目摘要

1705621 (Behdad). The objective of this research is to create a framework for application of middle-of-life product data toward making sustainable product end-of-use recovery and reuse/recycle/etc. decisions. The framework to be developed has three main components: 1) Data collection: the definitions of different types of data that are generated over the middle-of-life phase of the product, particularly from the consumers' usage behavior, and also the types of uncertainty included in the data; 2) Data analytics: the evaluation of future reusability of consumer electronics based on usage profiles; and 3) Decision-making techniques: the identification of the best End of Use (EOU) options (e.g., reuse, recycle, remanufacture, refurbish, and disposal) not only based on product reusability, but also planned-obsolescence and market acceptance. Several application areas will be studied with the help of an industry partner. The focus will be on collecting consumer usage data for charge and discharge usage of lithium-ion laptop batteries and Hard Disk Drives (HDDs) data from home-run and office-run personal computers. This research is targeted to allow information flow to go beyond the first product lifecycle and to feed the information gathered in the first lifecycle to remanufacturing decisions being made at the start of the future lifecycles. Particularly, a prognostic method will be developed that predicts the future reusability of different components of a product, aggregates the data together and further optimizes the appropriate EOU option.The research will include three major activities: 1) Characterizing product usage behavior of consumers to identify general product usage patterns. Data will be collected from surveys and information collected by industry partners on the specific category of electronic devices to quantify the conditions under which certain electronics have been used; 2) Creating a new class of predictive modeling techniques to quantify the future reusability of products based on the lifecycle profile and consumer usage behavior, and developing a set of decision models in the form of prognostic algorithms to determine the best EOU recovery option for used products incorporating the reusability assessment as well as the information from product technical life, market life, design life and physical life; and finally 3) Evaluating the proposed decision-making methods. This research has potential in facilitating the reusability of consumer electronics. These practices are essential for responding to the growing global hunger for electronic devices in newly industrialized countries that lack the sufficient systems, policies and infrastructure for appropriate management and recovery of electronic waste (e-waste). With the help of an industry partner, the project seeks to advance remanufacturing by providing massive and heterogeneous industry data in a challenging e-waste application area.
1705621(Behdad)。这项研究的目的是创建一个用于应用中间产品数据的框架,以使可持续的产品最终恢复和重用/回收/等等。决定。要开发的框架具有三个主要组成部分:1)数据收集:在产品的中间阶段生成的不同类型数据的定义,尤其是从消费者的使用行为以及数据中包括的不确定性类型中生成的定义; 2)数据分析:根据使用概况评估消费电子的未来可重复使用性; 3)决策技术:最佳使用端(EOU)选项(例如,再利用,回收,再制造,翻新和处置)不仅基于产品可重用性,而且还基于计划的攻击性和市场接受。将在行业合作伙伴的帮助下研究几个应用领域。重点将是收集消费者使用数据,以收取锂离子笔记本电池电池和硬盘驱动器(HDDS)数据(HDDS)数据(HDDS)数据。这项研究的目的是使信息流超出第一个产品生命周期,并将在第一个生命周期中收集的信息提供以在未来生命周期开始时做出的再制造决策。特别是,将开发一种预后方法,以预测产品不同组件的未来可重复使用性,将数据汇总在一起并进一步优化适当的EOU选项。研究将包括三个主要活动:1)表征消费者的产品使用行为以识别一般产品使用模式。数据将从调查和行业合作伙伴收集的有关电子设备的特定类别的信息中收集,以量化使用某些电子设备的条件; 2)创建一类新的预测建模技术,以根据生命周期概况和消费者使用行为来量化产品的未来可重复性,并以预后算法的形式开发一组决策模型,以确定可重复性评估的最佳EOU恢复选项,以及从产品,市场生活,市场生活,设计寿命,设计寿命和设计寿命,设计和物理寿命中的信息中使用的最佳EOU恢复选项;最后3)评估提出的决策方法。这项研究具有促进消费电子产品的可重复性的潜力。这些做法对于应对新工业化国家的全球电子设备的日益饥饿至关重要,这些国家缺乏足够的系统,政策和基础设施来适当管理和回收电子废物(电子废物)。在行业合作伙伴的帮助下,该项目试图通过在充满挑战的电子废物应用领域提供大量和异质行业数据来推动再制造。

项目成果

期刊论文数量(9)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Electric Vehicle Battery Simulation: How Electrode Porosity and Thickness Impact Cost and Performance
电动汽车电池仿真:电极孔隙率和厚度如何影响成本和性能
  • DOI:
    10.1115/detc2021-71511
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Zhao, Yixin;Behdad, Sara
  • 通讯作者:
    Behdad, Sara
Machine Learning to Predict Medical Devices Repair and Maintenance Needs
机器学习预测医疗设备维修和维护需求
Marketing strategies for refurbished products: Survey-based insights for probabilistic selling and technology level
  • DOI:
    10.1016/j.resconrec.2021.105401
  • 发表时间:
    2021-04
  • 期刊:
  • 影响因子:
    13.2
  • 作者:
    Behzad Esmaeilian;Pradeep Onnipalayam Saminathan;Willie Cade;S. Behdad
  • 通讯作者:
    Behzad Esmaeilian;Pradeep Onnipalayam Saminathan;Willie Cade;S. Behdad
A Blockchain-based Traceability System for Waste Management in Smart Cities
基于区块链的智慧城市废物管理追溯系统
  • DOI:
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Gopalakrishnan, Praveen Kumare;Hall, John;Behdad, Sara
  • 通讯作者:
    Behdad, Sara
Cost analysis and optimization of Blockchain-based solid waste management traceability system
基于区块链的固废管理追溯系统成本分析与优化
  • DOI:
    10.1016/j.wasman.2020.10.027
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    8.1
  • 作者:
    Gopalakrishnan, Praveen Kumare;Hall, John;Behdad, Sara
  • 通讯作者:
    Behdad, Sara
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Sara Behdad其他文献

Sara Behdad的其他文献

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{{ truncateString('Sara Behdad', 18)}}的其他基金

Collaborative Research: DESC: Type 1: Software-Hardware Recycling and Repair Dataset Infrastructure (SHReDI) for Sustainable Computing
合作研究:DESC:类型 1:用于可持续计算的软硬件回收和修复数据集基础设施 (SHReDI)
  • 批准号:
    2324950
  • 财政年份:
    2023
  • 资助金额:
    $ 14.83万
  • 项目类别:
    Standard Grant
Collaborative Research: Improving Design for Additive Manufacturing through Physically-integrated Design Concepts Generated from Computationally Efficient Graph Coloring Techniques
协作研究:通过计算高效的图形着色技术生成的物理集成设计概念改进增材制造的设计
  • 批准号:
    2017968
  • 财政年份:
    2020
  • 资助金额:
    $ 14.83万
  • 项目类别:
    Standard Grant
FW-HTF-RL: Collaborative Research: The Future of Remanufacturing: Human-Robot Collaboration for Disassembly of End-of-Use Products
FW-HTF-RL:协作研究:再制造的未来:人机协作拆卸最终产品
  • 批准号:
    2026276
  • 财政年份:
    2020
  • 资助金额:
    $ 14.83万
  • 项目类别:
    Standard Grant
GOALI: Data Driven Remanufacturing: Foundation for Modeling the Impact of Product Middle-of-Life Data on End-of-Life Recovery Decisions
GOALI:数据驱动的再制造:产品中期数据对报废恢复决策影响建模的基础
  • 批准号:
    1705621
  • 财政年份:
    2017
  • 资助金额:
    $ 14.83万
  • 项目类别:
    Standard Grant
Collaborative Research: Improving Design for Additive Manufacturing through Physically-integrated Design Concepts Generated from Computationally Efficient Graph Coloring Techniques
协作研究:通过计算高效的图形着色技术生成的物理集成设计概念改进增材制造的设计
  • 批准号:
    1727190
  • 财政年份:
    2017
  • 资助金额:
    $ 14.83万
  • 项目类别:
    Standard Grant
GOALI: Remediating E-waste Problems by Considering Consumer Behavior in Design for Multiple Life Cycles and Design for Ease of Return
目标:通过在多生命周期设计和易于退货设计中考虑消费者行为来解决电子垃圾问题
  • 批准号:
    1435908
  • 财政年份:
    2014
  • 资助金额:
    $ 14.83万
  • 项目类别:
    Standard Grant
NSF CAREER Proposal Writing Workshop at the 2014 ASME International Design Engineering Technical Conferences; Buffalo, New York, 19 August 2014
2014年ASME国际设计工程技术会议上的NSF职业提案写作研讨会;
  • 批准号:
    1445161
  • 财政年份:
    2014
  • 资助金额:
    $ 14.83万
  • 项目类别:
    Standard Grant

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GOALI: Data Driven Remanufacturing: Foundation for Modeling the Impact of Product Middle-of-Life Data on End-of-Life Recovery Decisions
GOALI:数据驱动的再制造:产品中期数据对报废恢复决策影响建模的基础
  • 批准号:
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