Grouping of Used Products for Cellular Recycling Systems

Hentschel, Claudia; Seliger, Günther; Zussman, Eyal; Lenz, E.

doi:10.1016/s0007-8506(07)62264-1

Cited by 30 publications

(12 citation statements)

References 13 publications

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“…Different methodologies have also been developed to find a balance between the time and money invested in product recovery operations and value gained from the recovered products and materials. Johnson et al (1995) suggest a methodology which aims to identify a preferred sequence of disassembly steps whilst maximizing the value gained from recovery products, while Hentschel et al (1995) present an approach to recycling system planning for used products at their end-of-life phase. Also, Rahimifard et al (2004) suggested a novel systematic five-stage methodology, called PRIME, to support product end-of-life management in different manufacturing applications based on an integrated view of a product supply and recovery chain.…”

mentioning

confidence: 99%

A decision-making model for waste management in the footwear industry

Staikos

Rahimifard

2007

International Journal of Production Research

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The footwear industry, over the last years, has placed significant effort in improving energy and material efficiency, but in comparison little effort has been directed at the recovery and recycling of shoes at the end of their functional life. In reality, most worn and discarded (end-of-life) shoes are disposed of in landfills. Producer responsibility issues and forthcoming legislation as well as increasing environmental consumer demands are expected to challenge the way the global footwear industry deals with its end-of-life waste. This paper presents an investigation into the steps required to consider the end-of-life implication of shoes and promote post-consumer recycling practices in the footwear industry. The paper describes the design and specification of a decision-making model to identify the most appropriate reuse, recovery and recycling option for postconsumer shoes. Such a tool in addition to supporting design and material selection processes could also provide benchmark information for the selection of a best end-of-life practice for a selected range of shoe types. The paper concludes by providing a case study for shoe waste management to demonstrate the practicality of this decision-making model.

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confidence: 99%

A decision-making model for waste management in the footwear industry

Staikos

Rahimifard

2007

International Journal of Production Research

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“…Hentschel et al (1995) group the used products by a fuzzy set algorithm with regard to the product usage and design criteria. MCDA is applied to deal with the uncertainty of product usage in the planning of cellular recovery systems.…”

Section: Design For Recycling (Dfr)mentioning

confidence: 99%

Product end-of-life options selection: grey relational analysis approach

Chan

2008

International Journal of Production Research

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Management of the product end-of-life (EOL) for a manufacturing enterprise is important. An improper EOL strategy can negatively affect the productivity and profitability and undermines the reputation of an enterprise because of the growing demands for extended producer responsibility. Producers need tools and methods to evaluate each EOL option since it is a complicated but mustbe-accomplished task to achieve in order to solve the multiple-criteria problem that combines aspects such as eco-system quality, environmental impacts, human health issues, and economic factors etc. This paper presents an alternative decision-making process to generate an optimal solution from a list of EOL options under the uncertainty condition of incomplete information. Using Grey Relational Analysis, the multi-criteria weighted average is proposed to rank the product EOL options with respect to several criteria at the material level. It will guide the selection process and help a decision-maker solve the selection problem. The method is demonstrated with an example. Various EOL options are evaluated using the developed multicriteria methodology that takes account the environmental, economical and social factors.

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“…However, in order to set up these disassembly factories a number of critical issues need to be addressed, including, [12][13][14] A closely related issue to the resource allocation factor for the disassembly factories (factor (h) above), is flexibility, i.e., the ability to handle a wide variety of products in different abuse states. The "flexibility" is based to a large extent on the disassembly tools used 15 and the types of products that have to be disassembled.…”

Section: 13mentioning

confidence: 99%