Literature DB >> 22382043

Solid waste facilities location using of analytical network process and data envelopment analysis approaches.

M R Khadivi1, S M T Fatemi Ghomi.   

Abstract

Selection of the appropriate site for solid waste facilities is a complex problem and requires an extensive evaluation process, because it is very difficult to develop a selection criterion that can precisely describe the preference of one location over another. Therefore selection of these sites can be viewed as a multiple criteria decision-making or multiple attributes decision-making problem. For this purpose, we propose a technique that can effectively take managerial preferences and subjective data into consideration, along with quantitative factors. The tool proposed here relies on the use of the analytical network process (ANP) and to help integrate managerial evaluations into a more quantitatively based decision tool, data envelopment analysis (DEA) is applied. In this paper, a location selection procedure is presented to construct an undesirable facility applying ANP and DEA approaches in two stages. In the first stage ANP approach is used, results of this stage are inputs for the second stage. In this stage, DEA is applied to select the best location. Finally, to illustrate the proposed framework, at "Results and discussion" section, a total of four undesirable facility locations are evaluated.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22382043     DOI: 10.1016/j.wasman.2012.02.002

Source DB:  PubMed          Journal:  Waste Manag        ISSN: 0956-053X            Impact factor:   7.145


  2 in total

1.  Raster-based outranking method: a new approach for municipal solid waste landfill (MSW) siting.

Authors:  Mohamad Hamzeh; Rahim Ali Abbaspour; Romina Davalou
Journal:  Environ Sci Pollut Res Int       Date:  2015-04-24       Impact factor: 4.223

2.  Assessing knowledge, performance, and efficiency for hospital waste management-a comparison of government and private hospitals in Pakistan.

Authors:  Mustafa Ali; Wenping Wang; Nawaz Chaudhry; Yong Geng; Uzma Ashraf
Journal:  Environ Monit Assess       Date:  2017-03-24       Impact factor: 2.513

  2 in total

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