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：
Sara Behdad
金额：
$ 28.86万
依托单位：
SUNY at Buffalo
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

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1705621&HistoricalAwards=false
关键词：
GOALI Data Driven Remanufacturing Foundation

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（贝赫达）。本研究的目的是创建一个应用中期产品数据的框架，以实现可持续的产品最终使用回收和再利用/循环利用等。决定。待开发的框架包含三个主要组成部分： 1）数据收集：产品中期生成的不同类型数据的定义，特别是消费者的使用行为，以及产品的类型。数据中包含的不确定性； 2）数据分析：根据使用情况评估消费电子产品未来的可重复使用性； 3) 决策技术：不仅基于产品的可重复使用性，而且还基于计划报废和市场接受度，确定最佳的使用终止 (EOU) 选项（例如，再利用、回收、再制造、翻新和处置）。将在行业合作伙伴的帮助下研究多个应用领域。重点是收集消费者使用锂离子笔记本电脑电池的充电和放电使用数据以及家用和办公室个人电脑的硬盘驱动器 (HDD) 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，并将第一个生命周期中收集的信息提供给未来生命周期开始时做出的再制造决策。特别是，将开发一种预测方法，预测产品不同组件未来的可重复使用性，将数据汇总在一起并进一步优化适当的 EOU 选项。该研究将包括三项主要活动： 1）表征消费者的产品使用行为，以识别一般产品使用模式。数据将从行业合作伙伴收集的有关特定电子设备类别的调查和信息中收集，以量化某些电子设备的使用条件； 2) 创建一类新型预测建模技术，根据生命周期概况和消费者使用行为来量化产品未来的可重用性，并以预测算法的形式开发一组决策模型，以确定已用产品的最佳 EOU 回收选项纳入可重用性评估以及产品技术寿命、市场寿命、设计寿命和物理寿命的信息；最后 3）评估所提出的决策方法。这项研究具有促进消费电子产品可重复使用的潜力。这些做法对于应对全球新兴工业化国家对电子设备日益增长的需求至关重要，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垃圾应用领域提供大量异构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）

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：
2018-08
期刊：
Waste management
影响因子：
8.1
作者：
Jatinkumar Shah, Parth;Anagnostopoulos, Theodoros;Zaslavsky, Arkady;Behdad, Sara
通讯作者：
Behdad, Sara

A Conceptual Framework for Using Videogrammetry in Blockchain Platforms for Food SupplyChain Traceability

在区块链平台中使用视频测量实现食品供应链可追溯性的概念框架