Fitness of product and service design for closed-loop material recycling: A framework and indicator

Hummen, Torsten; Sudheshwar, Akshat

doi:10.1016/j.resconrec.2022.106661

Cited by 9 publications

(4 citation statements)

References 71 publications

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“…Service design is a design activity that incorporates human-centered concepts into the planning of service touchpoints and the service process itself to enhance the user experience and quality of service, standing from the perspective of user needs and aiming to ensure that the service process is useful, usable, and well used. This concept was first proposed by Bill Hollins in 1991 in Total Design, and in the same year Michael Elhoff promoted service design at the International Design Academy in Cologne, Germany, and then some service design firms such as Line/Work and IDEO began to appear (Hummen & Sudheshwar, 2023), whose core goal is to build and improve service experience, enhance service quality through systematic planning, and improve user experience (Hu & Li, 2020). Specifically, the service design analyses and improves the recycling process from a holistic perspective systematically integrates community scrap resources and resident participation and enhances the quality of scrap recycling services and the satisfaction of residents' experience, thereby promoting sustainable scrap management and community development.…”

Section: Community Scrap Recycling From a Service Design Perspectivementioning

confidence: 99%

Service Requirement Analysis of Community Scrap Recycling Platform Based on Kano Model

Tang,

Toyong,

Shahlal

2024

MJSSH

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This study examines community scrap recycling platforms as an important tool for promoting sustainable development. Focusing on the i-City community in Malaysia, the investigation used user journey mapping, desktop research, questionnaires, and affinity diagrams to collect and then categorize residents' needs, designed and distributed Kano questionnaires, analysed and counted the attribute categories of each need, and calculated the sensitivity of each need through a Better-worse four quadrant scatter diagram. A detailed requirements analysis report was ultimately developed to provide insights into the service design of the community scrap recycling platform and to help guide future improvements and innovations to better meet user expectations and promote the sustainable development of the community scrap recycling business.

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Section: Community Scrap Recycling From a Service Design Perspectivementioning

confidence: 99%

Service Requirement Analysis of Community Scrap Recycling Platform Based on Kano Model

Tang,

Toyong,

Shahlal

2024

MJSSH

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“…Regardless, assessing the EoL and understanding the best waste treatment options are also pertinent to developing sustainable printed electronics. For readers interested in the EoL of printed electronics, we recommend our other study (Sudheshwar et al 2023) which looks at the topic in detail and highlights the importance of circular economy criteria (Hummen and Sudheshwar 2023) and recycling in the lifecycle of paper-based printed electronic systems like GREENSENSE.…”

Section: Limitationsmentioning

confidence: 99%

Assessing sustainability hotspots in the production of paper-based printed electronics

Sudheshwar

Beni

Malinverno

et al. 2023

Flex. Print. Electron.

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Novel printed electronics are projected to grow and be manufactured in the future in large volumes. In many applications, printed electronics are envisaged as sustainable alternatives to conventional (printed circuit board-based) electronics. One such application is in the semi-quantitative drug detection and point-of-care device called 'GREENSENSE' that uses paper-based printed electronics. This paper analyses the carbon footprint of GREENSENSE in order to identify and suggest means of mitigating disproportionately high environmental impacts, labelled 'sustainability hotspots', from materials and processes used during production which would be relevant in high-volume applications. Firstly, a life cycle model traces the flow of raw materials (such as paper, cellulose nanocrystals, and nanosilver) through the three 'umbrella' processes (circuit printing, component mounting, and biofunctionalization) manufacturing different electronic components (the substrate, conductive inks, energy sources, display, etc.) that are further assembled into GREENSENSE. Based on the life cycle model, life cycle inventories are modelled that map out the network of material and energy flow throughout the production of GREENSENSE. Finally, from the environmental impact and sustainability hotspot analysis, both crystalline nanocellulose and nanosilver were found to create material hotspots and they should be replaced in favor of lower-impact materials. Process hotspots are created by manual, lab-, and pilot-scale processes with unoptimized material consumption, energy use, and waste generation; automated and industrial-scale manufacturing can mitigate such process hotspots.

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“…Recyclable: The "recyclable" feature is a crucial attribute of sustainable products, as it promotes the efficient use of resources and minimizes waste [35]. Recyclable products can be collected, processed, and transformed into new materials or products, reducing the demand for virgin resources and the environmental impact of extraction [36].…”

mentioning

confidence: 99%

“…By designing products with recyclability in mind, manufacturers contribute to the circular economy, where materials are kept in use for as long as possible [37]. Recycling also helps reduce landfill waste and the associated environmental and health hazards, making it essential to achieving a more sustainable and resource-efficient society [35].…”

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confidence: 99%

Unveiling Sustainability in Ecommerce: GPT-Powered Software for Identifying Sustainable Product Features

2023

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In recent years, the concept of sustainability has gained significant attention across various industries. Consumers are increasingly concerned about the environmental impact of the products they purchase, leading to a growing demand for sustainable options. However, identifying sustainable product features can be a complex and time-consuming task. This paper presents a novel approach to address this challenge by utilizing GPT (Generative Pre-trained Transformer) powered software for automatically identifying sustainable product features from product descriptions, titles, and product specifications. The software leverages the power of natural language processing and machine learning to classify products into different sustainability categories. By analyzing the textual information provided, the software can extract key sustainability indicators, such as eco-friendly materials, energy efficiency, recyclability, and ethical sourcing. This automated process eliminates the need for manual assessment and streamlines the evaluation of product sustainability. The proposed software not only empowers consumers to make informed and sustainable purchasing decisions but also facilitates businesses in showcasing their environmentally friendly offerings. The experimental results demonstrate the effectiveness and accuracy of the software in identifying sustainable product features. The primary objective of this article is to assess the suitability of the GPT model for the domain of sustainability assessment. By collecting a real-life dataset and employing a specific methodology, four hypotheses are formulated, which will be substantiated through the experimental outcomes. This research contributes to the field of sustainability assessment by combining advanced language models with product classification, paving the way for a more sustainable and eco-conscious future.

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Fitness of product and service design for closed-loop material recycling: A framework and indicator

Cited by 9 publications

References 71 publications

Service Requirement Analysis of Community Scrap Recycling Platform Based on Kano Model

Service Requirement Analysis of Community Scrap Recycling Platform Based on Kano Model

Assessing sustainability hotspots in the production of paper-based printed electronics

Unveiling Sustainability in Ecommerce: GPT-Powered Software for Identifying Sustainable Product Features

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