Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/94577
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Industrial and Systems Engineering | en_US |
dc.creator | Ren, J | en_US |
dc.creator | Toniolo, S | en_US |
dc.date.accessioned | 2022-08-25T01:54:03Z | - |
dc.date.available | 2022-08-25T01:54:03Z | - |
dc.identifier.uri | http://hdl.handle.net/10397/94577 | - |
dc.language.iso | en | en_US |
dc.publisher | Elsevier BV | en_US |
dc.rights | © 2020 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved. | en_US |
dc.rights | © 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/ | en_US |
dc.rights | The following publication Ren, J., & Toniolo, S. (2021). Interval reference point technique for sustainable industrial processs election under uncertainties. Sustainable Production and Consumption, 27, 354-371 is available at https://doi.org/10.1016/j.spc.2020.11.006. | en_US |
dc.subject | Multi-criteria decision making | en_US |
dc.subject | Reference point technique | en_US |
dc.subject | Sustainability | en_US |
dc.subject | Sustainability assessment | en_US |
dc.subject | Synthetic sustainability index | en_US |
dc.title | Interval reference point technique for sustainable industrial processs election under uncertainties | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.description.otherinformation | Title on author’s file: Interval Reference Point Technique for Sustainable Industrial Process Selection under Uncertainties | en_US |
dc.identifier.spage | 354 | en_US |
dc.identifier.epage | 371 | en_US |
dc.identifier.volume | 27 | en_US |
dc.identifier.doi | 10.1016/j.spc.2020.11.006 | en_US |
dcterms.abstract | Sustainability of industrial processes has been a hot spot and draws the attentions of more and more stakeholders, because determining the synthetic sustainability index can help the decision-makers/stakeholders to make informed decisions towards sustainable industrial processes, especially for selecting the most sustainable industrial process among multiple alternatives. This study aims to develop an interval reference point technique for the prioritization of industrial processes under uncertainties. The hierarchy best-worst method which can determine the weights of the criteria, the local weights of the sub-criteria and the global weights of the sub-criteria simultaneously was employed for weights determination. An interval reference point technique which allows the users to set the aspiration point (the level of acceptance) and the reservation point (the level of desirable expectation) was developed to determine the dual synthetic sustainability indexes, and both the weak synthetic sustainability index (compensatory sustainability index) and the strong synthetic sustainability index (non- compensatory sustainability index) were used to prioritize the industrial processes. A case study with five alternative energy storage technologies has been studied to illustrate the developed framework, and the results reveal that the developed framework is feasible and efficient for sustainability assessment and prioritization of industrial processes. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Sustainable production and consumption, July 2021, v. 27, p. 354-371 | en_US |
dcterms.isPartOf | Sustainable production and consumption | en_US |
dcterms.issued | 2021-07 | - |
dc.identifier.scopus | 2-s2.0-85096874735 | - |
dc.identifier.eissn | 2352-5509 | en_US |
dc.description.validate | 202208 bcww | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | ISE-0117 | - |
dc.description.fundingSource | RGC | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | Departmental General Research Funds (UAFT) of Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 45655742 | - |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Ren_Interval_Reference_Point.pdf | Pre-Published version | 1.9 MB | Adobe PDF | View/Open |
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