On the basis of empirical studies, the purpose of this paper is to identify and analyse product properties that affect performance of end‐of‐life systems for electrical and electronic equipment (EEE).
The research was carried out as case studies of end‐of‐life management of EEE. Case A focused on disassembly of computer screens and TV‐sets, whereas Case B addressed logistics systems for recycling of various types of EEE. Data collection methods include interviews, on‐site visits and observations, video recording, and studies of documents.
In total, nine product properties that affect performance of end‐of‐life systems for EEE are identified. The properties relate to three different product levels: the product assortment, the product structure, and the component levels. A model is presented which indicates that choices made and decisions taken in the product development process affect the end‐of‐life system performance. Application of modular product architectures and component standardisation are suggested as relevant design strategies during product development.
The implications for managers are that the findings presented in this paper provide strengthened arguments that modular product architectures and component standardisation are favourable approaches to apply in product development. Complementary to the benefits for manufacturing and logistics also end‐of‐life system performance will improve when these approaches are applied.
Previous research has indicated some product properties that are supposed to influence performance of end‐of‐life systems. These properties originate primarily from conceptual discussions rather than empirical studies. This paper adds to current understanding by presenting empirically‐based insights regarding which specific product properties affect performance.
Johansson, G. and Huge Brodin, M. (2008), "An analysis of product properties affecting performance of end‐of‐life systems for electrical and electronics equipment", Management of Environmental Quality, Vol. 19 No. 6, pp. 705-717. https://doi.org/10.1108/14777830810904920Download as .RIS
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