How do end of life scenarios influence the environmental impact of product supply chains? comparing biomaterial and petrochemical products

2012 ◽  
Vol 29-30 ◽  
pp. 122-131 ◽  
Author(s):  
David Glew ◽  
Lindsay C. Stringer ◽  
Adolf A. Acquaye ◽  
Simon McQueen-Mason
2021 ◽  
Vol 1 ◽  
pp. 131-140
Author(s):  
Federica Cappelletti ◽  
Marta Rossi ◽  
Michele Germani ◽  
Mohammad Shadman Hanif

AbstractDe-manufacturing and re-manufacturing are fundamental technical solutions to efficiently recover value from post-use products. Disassembly in one of the most complex activities in de-manufacturing because i) the more manual it is the higher is its cost, ii) disassembly times are variable due to uncertainty of conditions of products reaching their EoL, and iii) because it is necessary to know which components to disassemble to balance the cost of disassembly. The paper proposes a methodology that finds ways of applications: it can be applied at the design stage to detect space for product design improvements, and it also represents a baseline from organizations approaching de-manufacturing for the first time. The methodology consists of four main steps, in which firstly targets components are identified, according to their environmental impact; secondly their disassembly sequence is qualitatively evaluated, and successively it is quantitatively determined via disassembly times, predicting also the status of the component at their End of Life. The aim of the methodology is reached at the fourth phase when alternative, eco-friendlier End of Life strategies are proposed, verified, and chosen.


Author(s):  
Cheila Almeida ◽  
Philippe Loubet ◽  
Tamíris Pacheco da Costa ◽  
Paula Quinteiro ◽  
Jara Laso ◽  
...  

Author(s):  
Ashley DeVierno ◽  
Brian Thorn ◽  
Andres L. Carrano

For designers it is difficult to pin-point the design characteristics that could be changed to reduce the environmental impact of their products. This paper describes a method for determining the design characteristics that have a significant relationship with environmental impact that arises at product end-of-life. In this method, Life Cycle Assessment (LCA) and Linear Regression Analysis (LRA) are combined. LCA is used to quantify the environmental impact of products from the extraction of their raw materials to their disposal. LRA is used to determine the design characteristics that have the most significant relationship with environmental impact. Combining LCA and LRA gives the designer the ability to (1) establish a relationship between design characteristics and their environmental impact, (2) determine the most significant design characteristics that influence environmental impact, and (3) validate design changes with their influence on product environmental impact. In the case study described here, the design characteristic, Volume, is shown to have significant relationship with the end-of-life environmental impact of cellular phones. This trend is consistent with the results of the one-phase end-of-life disposition assessments that evaluated disassembled cellular phones. With the results of this method, designers can focus their sustainable design efforts on modifying and improving the design characteristics that have the strongest relationship with environmental impact.


2015 ◽  
Vol 20 (6) ◽  
pp. 1384-1398 ◽  
Author(s):  
Ingrid E. van Putten ◽  
Anna K. Farmery ◽  
Bridget S. Green ◽  
Alistair J. Hobday ◽  
Lilly Lim-Camacho ◽  
...  

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