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A Data Envelopment Analysis Approach for Household Appliances and Automobile Recycling
Abstract
Rapid technological developments are leading to a significant decrease in the demand for old technology products. As a result, old technology products are rushed to their end-of-lives (EOLs) even though they still function properly and have the ability to satisfy stated needs. It is therefore important to find environmentally and economically benign ways to handle this accumulating waste to regain the value added to such products and to reduce the environmental damage. However, EOL recovery options are not always economically justifiable due to the complexity and uncertainty involved in the process. To reduce these setbacks, it is crucial to perform an analysis prior to taking any action and rank the products according to the importance of their EOL processing outcomes. To this end, this chapter proposes a data envelopment analysis (DEA) algorithm to determine the technical efficiency of end-of-life processing of household appliances and automobiles depending on various tangible and intangible performance criteria.
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