Quality challenges of reused components

Stobbe, I.; Potter, H.; Griese, H.; Fotheringham, Gerhard; Reichl, H.

doi:10.1109/agec.2004.1290906

Cited by 5 publications

(11 citation statements)

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“…Regarding the harvesting of spare parts from used EEE and WEEE, value mapping can highlight areas for improvement and upscale pathways toward realizing a CE (Richter, et al., 2020). In addition, building on the approach in the earlier work on the topic (Stobbe et al., 2004), we consider economic, environmental, and social dimensions of value in our value mapping analysis.…”

Section: Methodsmentioning

confidence: 99%

“…Spare parts (“parts”) can be: (1) new original equipment manufacturer (OEM) parts; (2) third‐party newly manufactured aftermarket parts; and (3) parts harvested from products, directly reused or refurbished. Developments in additive manufacturing have been presented as a solution to this bottleneck (Chekurov & Salmi, 2017; Kellens et al., 2017; Quinlan et al., 2017), but a complementary strategy—with potentially higher environmental, social, and economic benefits—is harvesting of spare parts from used and waste products (Dalhammar et al., 2021; Deloitte et al., 2016; Stobbe et al., 2004). End‐of‐life products that cannot be reused in their entirety still contain valuable parts that can be reused (Tecchio et al., 2019) and the often lower costs are advantageous to repair and refurbishing businesses for whom increasing prices of parts is a threat (Türkeli et al., 2019).…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Harvesting of parts has a long tradition in the automotive industry and has been emerging for EEE for some time (Kuehr & Williams, 2007; Stobbe et al., 2004). Stobbe et al (2004) observed that there is significant potential for reusing parts in refurbishment of higher‐end EEE to retain value and that e‐waste policies could incentivize this. However, despite early indications that e‐waste policies might promote ecodesign and industrial ecology strategies (Halluite et al., 2005), the primary focus of these policies has been in managing hazardous materials and improving waste management.…”

Section: Introductionmentioning

confidence: 99%

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Taking stock for repair and refurbishing: A review of harvesting of spare parts from electrical and electronic products

Richter

Svensson-Höglund

Dalhammar

et al. 2022

J of Industrial Ecology

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A circular economy (CE) calls for the value of materials and products to be maintained and recovered through narrowing, closing, and slowing loops. However, there remain challenges in capturing value through reuse of components in refurbished and repaired products. In this paper, we provide an overview of the research and practice of harvesting spare parts from used and waste electrical and electronic equipment (white goods and consumer electronic products). Through a literature review and case studies of Norway, Sweden, and California, we provide an overview of drivers and barriers for spare part harvesting. Applying a stakeholder value mapping framework, we identify the key stakeholders involved in spare part harvesting and map the values captured, missed, and destroyed to identify opportunities for increased value retention. Finally, we suggest further refinements for policy to upscale spare part harvesting in light of CE goals and objectives. K E Y W O R D Scircular economy, industrial ecology, parts reuse, spare parts, stakeholder value mapping, waste electrical and electronic equipment INTRODUCTIONA circular economy (CE) aims to retain the value of materials and products as long as possible, and electrical and electronic equipment (EEE) are identified as a key product value chain by the European Commission (European Commission, 2020). Blomsma and Tennant (2020) argue that CE is dominated by approaches that focus on materials and products and propose another important intermediate state of resources: parts. This insight is key as product lifetimes can be extended through repair and maintenance, upgrading, refurbishment, and remanufacturing (Cooper, 2005;Nasr et al., 2018)-which typically require parts. A product part has a higher value than materials and is often an assembly of components having a specified function, usually as part of a complex product (Lu et al., 2018).Access to spare parts has been noted as a significant barrier constraining upscaling of repair and refurbishment (Jaeger-Erben et al., 2021;Nazlı, 2021;Svensson-Hoglund et al., 2021). Spare parts ("parts") can be: (1) new original equipment manufacturer (OEM) parts;(2) third-party newly manufactured aftermarket parts; and (3) parts harvested from products, directly reused or refurbished. Developments in additive manufacturing have been presented as a solution to this bottleneck (

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Taking stock for repair and refurbishing: A review of harvesting of spare parts from electrical and electronic products

Richter

Svensson-Höglund

Dalhammar

et al. 2022

J of Industrial Ecology

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“…Es así como la visión artificial o visión por computador permite capturar la imagen de un objeto determinado mediante un sistema electrónico de hardware software, para proceder a realizar su respectivo procesamiento, análisis e identificación de los diferentes parámetros para el control de calidad, como el color y la textura, entre otros, en línea o fuera de línea, para posteriormente evaluar lotes de producción y ajustar, corregir o remplazar si es necesario las tecnologías de manufactura [17][18][19][20][21][22][23][24].…”

Section: Introductionunclassified

Distribución Binomial Aplicada a un Sistema de Clasificación de Piezas con Tratamiento Digital de Imágenes

Beainy¹,

Cáceres²,

López³

et al. 2011

Iteckne

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Resumen-Este trabajo describe el desarrollo de un sistema de clasificación de partes para un lote de producción, donde se utiliza un sistema de procesamiento digital de imágenes que permite reconocer las piezas cuando se reúnen o no las características definidas previamente.Para realizar y analizar el control de calidad para el lote de producción, se utiliza una densidad de probabilidad discreta, que se usa frecuentemente en los procesos de control de calidad. La distribución utilizada fue la distribución binomial, ampliamente empleada en procesos de control de calidad en situaciones cuya solución tiene dos posibles resultados, éxito o fracaso, de un parámetro de un conjunto de muestras establecido.Palabras clave-Distribución Binomial, Reconocimiento de Bordes, Procesamiento de Imágenes, Control de Calidad, Inspección Óptica Automatizada.Abstract-This paper describes the development of a parts classification system for a production lot, where it is used a digital processing system that enables viewers to recognize the pieces when they meet or not previously defined characteristics.To perform and analyze the quality control for the production lot is used a discrete probability density, which is frequently used in quality control processes. This distribution was the Binomial distribution, widely used in quality control processes in situations where a solution has two possible outcomes, success or failure of a parameter of a set of samples provided. INTRODUCCIÓNEn la actualidad las industrias de manufactura o producción realizan actividades de control de calidad donde se espera detectar que ocurra o no un evento específico. Este evento puede ser de éxito o fracaso, sin que haya un punto intermedio de decisión. Cuando se realiza la producción de un componente o artículo, se ejecutan procedimientos de verificación para determinar si este cumple o no con unas características previamente definidas como se referencia en [11][12][13][14][15][16]. Para estas situaciones se utiliza la distribución Binomial.La calidad puede definirse como una combinación de características de ingeniería y de fabricación que determina el grado de satisfacción y utilidad que el producto proporciona al consumidor durante su uso, así mismo la calidad está regida por algún estándar de producción establecida por un ente normalizador.De esta manera se puede entender que el control de calidad es un factor fundamental para la competitividad de los sectores productivos, y por ello, organizaciones del mundo establecen estándares para los campos de producción.Los errores y límites de detección de defectos que han superado la percepción del ojo humano, han promovido el desarrollo de sistemas capaces de ejecutar tareas repetitivas de forma automática, con bajas tolerancias de desviación.

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A methodical planning to enhance reutilisation potential in product design

Xing

Luong

Abhary

Proceedings of 2005 International Conference on Asian Green Electronics, 2005. AGEC.

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Applying appropriate designs to improve the opportunity of reutilisation is a proactive and essential way to minimise the environmental impacts stemmed fiom the disposal of retired products and to reduce the pressure on extracting raw materials. To champion this concept for sustainability and practice for a close-loop product life cycle, a proper tool is often a necessity, facilitating companies to make favorabie design decisions and achieve desirable outcomes. In this paper, a methodically structured design planning approach is introduced to support the measure and enhancement of the reutilisation potential of products. The mechanism of this approach articulates the identification of reutilisation strategy at the system level with the reusability evaluation and configurations at the component level. The effect on waste reduction is assessed by estimating the consequent scrap rates of the components as well as the system. Finally, an example is provided to demonstrate the implemenation of the approach.

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Quality challenges of reused components

Cited by 5 publications

References 1 publication

Taking stock for repair and refurbishing: A review of harvesting of spare parts from electrical and electronic products

Taking stock for repair and refurbishing: A review of harvesting of spare parts from electrical and electronic products

Distribución Binomial Aplicada a un Sistema de Clasificación de Piezas con Tratamiento Digital de Imágenes

A methodical planning to enhance reutilisation potential in product design

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