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:
    1705621
  • 负责人:
  • 金额:
    $ 28.86万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2017
  • 资助国家:
    美国
  • 起止时间:
    2017-08-15 至 2020-03-31
  • 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(Behold)。本研究的目的是建立一个框架,应用中年产品数据对可持续的产品最终使用的回收和再利用/再循环/等决策。开发的框架有三个主要组成部分:1)数据收集:在产品的中期生命阶段产生的不同类型数据的定义,特别是消费者的使用行为,以及数据中包含的不确定性类型; 2)数据分析:基于使用情况评估消费电子产品的未来可重用性;以及3)决策技术:最佳使用结束(EOU)选项的识别(例如,再利用、再循环、再制造、再处理和处置),不仅基于产品的可再利用性,而且还基于有计划的淘汰和市场接受度。将在行业合作伙伴的帮助下研究几个应用领域。重点将是收集锂离子笔记本电脑电池充电和放电的消费者使用数据以及家用和办公室个人电脑的硬盘驱动器数据。这项研究的目的是让信息流超越第一个产品生命周期,并在第一个生命周期中收集的信息,在未来的生命周期开始的再制造决策。特别是,将开发一种预测方法,预测产品不同组件的未来可重用性,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)描述消费者的产品使用行为,以确定一般的产品使用模式。将从调查中收集数据,并由行业伙伴收集关于特定类别电子设备的信息,以量化某些电子设备的使用条件; 2)创建一类新的预测建模技术,以基于生命周期概况和消费者使用行为来量化产品的未来可重用性,以及发展一套以预测算法形式的决策模式,以决定旧产品的最佳EOU回收方案,并结合可再用性评估以及来自产品技术寿命、市场寿命、设计寿命和物理寿命的信息;(3)评价所提出的决策方法。这项研究在促进消费电子产品的可重用性方面具有潜力。这些做法对于新兴工业化国家应对全球日益增长的电子设备需求至关重要,因为这些国家缺乏适当管理和回收电子废物的足够系统、政策和基础设施。在行业合作伙伴的帮助下,该项目旨在通过在具有挑战性的电子废物应用领域提供大量和异构的行业数据来推进再制造。

项目成果

期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Ubiquitous Life Cycle Assessment (U-LCA): A Proposed Concept for Environmental and Social Impact Assessment of Industry 4.0
  • DOI:
    10.1016/j.mfglet.2017.12.012
  • 发表时间:
    2017-12
  • 期刊:
  • 影响因子:
    3.9
  • 作者:
    A. Mashhadi;S. Behdad
  • 通讯作者:
    A. Mashhadi;S. Behdad
A stochastic optimization framework for planning of waste collection and value recovery operations in smart and sustainable cities
用于规划智能和可持续城市中废物收集和价值回收运营的随机优化框架
  • DOI:
    10.1016/j.wasman.2018.05.019
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    8.1
  • 作者:
    Jatinkumar Shah, Parth;Anagnostopoulos, Theodoros;Zaslavsky, Arkady;Behdad, Sara
  • 通讯作者:
    Behdad, Sara
Investigation of consumer’s acceptance of product-service-systems: A case study of cell phone leasing
  • DOI:
    10.1016/j.resconrec.2018.12.006
  • 发表时间:
    2019-04
  • 期刊:
  • 影响因子:
    0
  • 作者:
    A. Mashhadi;A. Vedantam;S. Behdad
  • 通讯作者:
    A. Mashhadi;A. Vedantam;S. Behdad
Consumer decisions to repair mobile phones and manufacturer pricing policies: The concept of value leakage
  • DOI:
    10.1016/j.resconrec.2018.01.015
  • 发表时间:
    2018-06
  • 期刊:
  • 影响因子:
    0
  • 作者:
    M. Sabbaghi;S. Behdad
  • 通讯作者:
    M. Sabbaghi;S. Behdad
Sustainability and Life Cycle Product Design (Chapter 22)
可持续性和生命周期产品设计(第 22 章)
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Sara Behdad其他文献

From present to future: A review of e-waste recycling processes
从现在到未来:电子废物回收流程综述
  • DOI:
    10.1016/j.wasman.2025.114863
  • 发表时间:
    2025-08-01
  • 期刊:
  • 影响因子:
    7.100
  • 作者:
    Rachel L. Smith;Sara Behdad
  • 通讯作者:
    Sara Behdad

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:
    $ 28.86万
  • 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:
    $ 28.86万
  • 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:
    $ 28.86万
  • 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:
    2017971
  • 财政年份:
    2020
  • 资助金额:
    $ 28.86万
  • 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:
    $ 28.86万
  • 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:
    $ 28.86万
  • 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:
    $ 28.86万
  • 项目类别:
    Standard Grant

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