A Stochastic Analytic Hierarchy Process Based Weighting Model for Sustainability Measurement in an Organization

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Process Based Weighting Model for Sustainability Measurement in an Organization</title> <meta name="description" content="A Stochastic Analytic Hierarchy Process Based Weighting Model for Sustainability Measurement in an Organization"> <meta name="keywords" content="AHP, sustainability fluctuation, environmental indicators, performance measurement, environmental sustainability."> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <meta name="citation_title" content="A Stochastic Analytic Hierarchy Process Based Weighting Model for Sustainability Measurement in an Organization"> <meta name="citation_author" content="Faramarz Khosravi"> <meta name="citation_author" content="Gokhan Izbirak"> <meta name="citation_publication_date" content="2020/03/05"> <meta name="citation_journal_title" content="International Journal of Mechanical and Industrial Engineering"> <meta name="citation_volume" 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class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Faramarz%20Khosravi">Faramarz Khosravi</a>, <a href="https://publications.waset.org/search?q=Gokhan%20Izbirak"> Gokhan Izbirak</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>A weighted statistical stochastic based Analytical Hierarchy Process (AHP) model for modeling the potential barriers and enablers of sustainability for measuring and assessing the sustainability level is proposed. For context-dependent potential barriers and enablers, the proposed model takes the basis of the properties of the variables describing the sustainability functions and was developed into a realistic analytical model for the sustainable behavior of an organization. This thus serves as a means for measuring the sustainability of the organization. The main focus of this paper was the application of the AHP tool in a statistically-based model for measuring sustainability. Hence a strong weighted stochastic AHP based procedure was achieved. A case study scenario of a widely reported major Canadian electric utility was adopted to demonstrate the applicability of the developed model and comparatively examined its results with those of an equal-weighted model method. Variations in the sustainability of a company, as fluctuations, were figured out during the time. In the results obtained, sustainability index for successive years changed form 73.12%, 79.02%, 74.31%, 76.65%, 80.49%, 79.81%, 79.83% to more exact values 73.32%, 77.72%, 76.76%, 79.41%, 81.93%, 79.72%, and 80,45% according to priorities of factors that have found by expert views, respectively. By obtaining relatively necessary informative measurement indicators, the model can practically and effectively evaluate the sustainability extent of any organization and also to determine fluctuations in the organization over time.</p> <iframe src="https://publications.waset.org/10011152.pdf" style="width:100%; height:400px;" frameborder="0"></iframe> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=AHP" title="AHP">AHP</a>, <a href="https://publications.waset.org/search?q=sustainability%20fluctuation" title=" sustainability fluctuation"> sustainability fluctuation</a>, <a href="https://publications.waset.org/search?q=environmental%20indicators" title=" environmental indicators"> environmental indicators</a>, <a href="https://publications.waset.org/search?q=performance%20measurement" title=" performance measurement"> performance measurement</a>, <a href="https://publications.waset.org/search?q=environmental%20sustainability." title=" environmental sustainability."> environmental sustainability.</a> </p> <p class="card-text"><strong>Digital Object Identifier (DOI):</strong> <a href="https://doi.org/10.6084/m9.figshare.12489863" target="_blank">doi.org/10.6084/m9.figshare.12489863</a> </p> <a href="https://publications.waset.org/10011152/a-stochastic-analytic-hierarchy-process-based-weighting-model-for-sustainability-measurement-in-an-organization" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/10011152/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/10011152/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/10011152/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/10011152/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/10011152/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/10011152/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/10011152/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/10011152/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/10011152/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/10011152/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/10011152.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">924</span> </span> <p class="card-text"><strong>References:</strong></p> <br>[1] Collins RD, Selin NE, Weck OL, Clark WC (2017) Using inclusive wealth for policy evaluation: Application to electricity infrastructure planning in oil-exporting countries.. 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A Stochastic Analytic Hierarchy Process Based Weighting Model for Sustainability Measurement in an Organization