Literature DB >> 33508530

Sustainable waste disposal technology selection: The stratified best-worst multi-criteria decision-making method.

Ali Ebadi Torkayesh1, Behnam Malmir2, Mehdi Rajabi Asadabadi3.   

Abstract

Waste disposal technology selection is a key problem in the field of municipal solid waste (MSW). This decision may have long-term impacts on environmental development and economic growth. The literature suggests using multi-criteria decision-making (MCDM) methods to address this problem. MCDM techniques commonly require decision makers to assign weightings of importance to the decision criteria based on which, the available technologies are ranked. However, this technology selection problem is concerned with selecting a technology to be used for a relatively long period of time. It is important to take into consideration any uncertainty the decision maker may have with regard to the weightings of the criteria in the future. To take this uncertainty into consideration, this study suggests utilizing a recently developed MCDM technique, namely the stratified MCDM. This technique is designed to help decision makers structure the uncertain future through the consideration of a set of states, which are placed in different strata. The paper shows how the stratified MCDM technique in combination with the best-worst method (labelled stratified BWM) can be employed to compute the ranking of the available technologies. This research is expected to stimulate future applications of the stratified BWM to facilitate long-term decision making.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Keywords:  BWM; Municipal Solid Waste Management (MSW); SMCDM; Sustainable Waste Disposal Selection, Multiple-Criteria Decision-Making (MCDM)

Year:  2021        PMID: 33508530     DOI: 10.1016/j.wasman.2020.12.040

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


  8 in total

1.  Locating a disinfection facility for hazardous healthcare waste in the COVID-19 era: a novel approach based on Fermatean fuzzy ITARA-MARCOS and random forest recursive feature elimination algorithm.

Authors:  Vladimir Simic; Ali Ebadi Torkayesh; Abtin Ijadi Maghsoodi
Journal:  Ann Oper Res       Date:  2022-07-08       Impact factor: 4.820

2.  Supplier selection in healthcare supply chain management during the COVID-19 pandemic: a novel fuzzy rough decision-making approach.

Authors:  Dragan Pamucar; Ali Ebadi Torkayesh; Sanjib Biswas
Journal:  Ann Oper Res       Date:  2022-01-12       Impact factor: 4.820

3.  Adapting Urban Transport Planning to the COVID-19 Pandemic: An Integrated Fermatean Fuzzy Model.

Authors:  Vladimir Simić; Ivan Ivanović; Vladimir Đorić; Ali Ebadi Torkayesh
Journal:  Sustain Cities Soc       Date:  2022-01-06       Impact factor: 10.696

4.  A facilitating framework for a developing country to adopt smart waste management in the context of circular economy.

Authors:  Feroz Khan; Yousaf Ali
Journal:  Environ Sci Pollut Res Int       Date:  2021-12-01       Impact factor: 5.190

5.  Supplier selection to support environmental sustainability: the stratified BWM TOPSIS method.

Authors:  Mehdi Rajabi Asadabadi; Hadi Badri Ahmadi; Himanshu Gupta; James J H Liou
Journal:  Ann Oper Res       Date:  2022-08-06       Impact factor: 4.820

6.  Entropy and discrimination measures based q-rung orthopair fuzzy MULTIMOORA framework for selecting solid waste disposal method.

Authors:  Arunodaya Raj Mishra; Pratibha Rani; Dragan Pamucar; Ibrahim M Hezam; Abhijit Saha
Journal:  Environ Sci Pollut Res Int       Date:  2022-09-19       Impact factor: 5.190

Review 7.  Waste management and green technology: future trends in circular economy leading towards environmental sustainability.

Authors:  Muhammad Tanveer; Syed Abdul Rehman Khan; Muhammad Umar; Zhang Yu; Muhammad Jawad Sajid; Ikram Ul Haq
Journal:  Environ Sci Pollut Res Int       Date:  2022-10-05       Impact factor: 5.190

8.  Evidence-Based User Interface Sanitation Technology Selection for Urban Slums: A Multi-Criteria Analysis; The Case of Jimma Town, Ethiopia.

Authors:  Dereje Oljira Donacho; Gudina Terefe Tucho; Wuhib Zeine Ousman; Thanyang Koang Both; Abebe Beyene Hailu
Journal:  Environ Health Insights       Date:  2022-09-28
  8 in total

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