PMID- 33508530
OWN - NLM
STAT- MEDLINE
DCOM- 20210210
LR  - 20210210
IS  - 1879-2456 (Electronic)
IS  - 0956-053X (Linking)
VI  - 122
DP  - 2021 Mar 1
TI  - Sustainable waste disposal technology selection: The stratified best-worst 
      multi-criteria decision-making method.
PG  - 100-112
LID - S0956-053X(21)00004-0 [pii]
LID - 10.1016/j.wasman.2020.12.040 [doi]
AB  - 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.
CI  - Copyright (c) 2021 Elsevier Ltd. All rights reserved.
FAU - Torkayesh, Ali Ebadi
AU  - Torkayesh AE
AD  - Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul, 
      Turkey; ICRON Technologies, Sariyer, Istanbul, Turkey. Electronic address: 
      ebaditorkayesh@sabanciuniv.edu.
FAU - Malmir, Behnam
AU  - Malmir B
AD  - Department of Business Information Technology, Pamplin College of Business, 
      Virginia Tech, Blacksburg, USA. Electronic address: malmir@vt.edu.
FAU - Rajabi Asadabadi, Mehdi
AU  - Rajabi Asadabadi M
AD  - Research School of Management, ANU College of Business and Economics, The 
      Australian National University, Canberra, ACT 2601, Australia; School of 
      Business, University of New South Wales, Canberra, ACT 2601, Australia. 
      Electronic address: mehdi.asadabadi@anu.edu.au.
LA  - eng
PT  - Journal Article
DEP - 20210125
PL  - United States
TA  - Waste Manag
JT  - Waste management (New York, N.Y.)
JID - 9884362
RN  - 0 (Solid Waste)
SB  - IM
MH  - Decision Making
MH  - Decision Support Techniques
MH  - *Refuse Disposal
MH  - Solid Waste/analysis
MH  - Technology
MH  - Uncertainty
MH  - *Waste Management
OTO - NOTNLM
OT  - BWM
OT  - Municipal Solid Waste Management (MSW)
OT  - SMCDM
OT  - Sustainable Waste Disposal Selection, Multiple-Criteria Decision-Making (MCDM)
COIS- Declaration of Competing Interest The authors declare that they have no known 
      competing financial interests or personal relationships that could have appeared 
      to influence the work reported in this paper.
EDAT- 2021/01/29 06:00
MHDA- 2021/02/11 06:00
CRDT- 2021/01/28 20:12
PHST- 2020/08/24 00:00 [received]
PHST- 2020/12/02 00:00 [revised]
PHST- 2020/12/30 00:00 [accepted]
PHST- 2021/01/29 06:00 [pubmed]
PHST- 2021/02/11 06:00 [medline]
PHST- 2021/01/28 20:12 [entrez]
AID - S0956-053X(21)00004-0 [pii]
AID - 10.1016/j.wasman.2020.12.040 [doi]
PST - ppublish
SO  - Waste Manag. 2021 Mar 1;122:100-112. doi: 10.1016/j.wasman.2020.12.040. Epub 2021 
      Jan 25.