Multi-Criteria Decision Making Approaches Applied to Waste Electrical and Electronic Equipment (WEEE): A Comprehensive Literature Review
Abstract
:1. Introduction
- Temperature exchange equipment;
- Screens, monitors, and equipment containing screens;
- Lamps;
- Large equipment;
- Small equipment;
- Small IT and telecommunication equipment.
- Dumping acid used to remove gold into rivers;
- Leaching of substances from landfills or stored electronics;
- Particulate matter, dioxins, furans from dismantling electronics;
- Contaminants entering the water system and food system through livestock, fish, and crops;
- Exposure through food, water, air;
- Home based workshops;
- Inhaling fumes from burning wires and cooking circuit boards;
- Pregnant women working as recyclers;
- Ingesting contaminated dust on surfaces;
- Playing with dismantled electronics;
- Children and adolescents working in collection, dismantling, and recycling.
- −
- What are the main aspects of the WEEE supply chain that are addressed with MCDM tools?
- −
- What are the most widely used MCDM approaches?
- −
- What could be the future lines of research and development of MCDM approaches applied to the WEEE sector?
2. Materials and Methods
- The Analytic Hierarchy Process (AHP) is able to describe a complex problem through a hierarchical structure of the relationships between objectives, criteria, sub-criteria, and alternatives. Through the AHP approach, a complex decision making or planning problem is divided into its components or levels, which are ordered in an ascending hierarchical order. Elements and levels are compared to each other and related to an adjacent upper level. The final result is a set of priorities of relative importance between the various actions or alternatives [41].
- ELimination Et Choix Traduisant la REalité (ELECTRE) assigns higher ranks to alternatives that are preferred in most criteria and pass acceptable levels on all criteria at the same time [42].
- Decision Making Trial and Evaluation Laboratory (DEMATEL) evaluates the causal interdependence and association among the problem’s variables that is quantified on a scale of 0 to 4 [9].
- PROMETHEE is an outranking method that ranks alternatives on their deviation from the optimal point according to each criterion [43].
- The DELPHI method repeatedly collects expert opinions until a widespread consensus is reached with respect to the object of choice [44].
- Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is a method that allows possible alternatives to be prioritized with the shortest distance from the ideal option and the greatest distance from the most disadvantageous, using appropriately quantified weights.
- Vlse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR) is an MCDM approach for optimizing multi-criteria problems of a complex system by selecting the alternative deemed most efficient from a set of different possibilities. Choices are made through a ranking index on the basis of closeness to the ideal solution.
2.1. Material Search
2.2. Material Selection
2.3. Material Analysis
3. Results and Discussion
3.1. Descriptive Analysis
3.2. Analytical Analysis
4. Evaluation of Environmental Decision Criteria
- It recognizes the environmental issue as a significant decision making aspect, as well as economic, social, technical, and legal ones;
- It allows identification of an answer to the problem of WEEE management, improving its environmental impact, and reducing the effect that toxic substances can have on natural and biological receptors.
5. Possible Future Developments
6. Conclusions and Future Developments
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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A | Research Questions | ||||
- What are the main aspects of the WEEE supply chain that are addressed with MCDM tools? - What are the most widely used MCDM approaches? - What could be the future lines of research and development of MCDMs applied to the WEEE sector? | |||||
B | Database | ||||
ScienceDirect | |||||
Scopus | |||||
C | Search Criteria | ||||
Search unit | Single journal article/conference paper/book chapter | ||||
Journal | All | ||||
Year | All | ||||
Article type | All | ||||
Language | English | ||||
Date of search | 25 November 2020 | ||||
D | Keywords for Papers Identification | ||||
Group A | Group B | ScienceDirect | Scopus | Total | |
WEEE | AND | Multi-Criteria analysis | 607 | 0 | 607 |
Multi-Criteria Decision Making | 429 | 0 | 429 | ||
Decision support model | 1198 | 23 | 1221 | ||
Management | 2775 | 945 | 3720 | ||
e-waste | Multi-Criteria analysis | 59,138 | 19 | 59,157 | |
Multi-Criteria Decision Making | 26,031 | 1 | 26,032 | ||
Decision support model | 77,062 | 19 | 77,081 | ||
Management | 210,204 | 1501 | 211,705 | ||
Waste Electrical and Electronic Equipment | Multi-Criteria analysis | 5217 | 0 | 5217 | |
Multi-Criteria Decision Making | 3025 | 0 | 3025 | ||
Decision support model | 6794 | 20 | 6814 | ||
Management | 13,730 | 1046 | 14,776 | ||
Total | 406,210 | 3574 | 409,784 |
E | Steps for Material Selection | ||
Duplicate removal | |||
Keywords and abstract assessment | |||
Application of inclusion criteria | |||
They only analyze WEEE | AND | ||
They apply MCDM exclusively | AND | ||
They present case studies | |||
Full text assessment | |||
F | Other Paper Sources | ||
From informal approach | |||
From snowball method |
I | Descriptive Analysis | |
Year | ||
Journal | ||
Country | ||
Type | Research paper | |
Review | ||
Others | ||
Material collection | PD—Protocol-driven | |
IA—Informal approaches | ||
SB—Snowball methods | ||
II | Analytical Analysis | |
WEEE management process analyzed | ||
MCDM approach | ||
Type of decision criteria | ||
Case study |
From search and selection protocol | 31 |
From browse approach | 2 |
From snowball methods | 11 |
Total | 44 |
Ref. | Collection | Transportation/Storage | Treatment | Export | ||
---|---|---|---|---|---|---|
Recycling | Reuse | Disposal (Incineration, Landfill) | ||||
[45] | Closed-Loop Supply Chain (CLSC) | |||||
[46] | Barriers to the sustainable development of WEEE treatment industry | |||||
[37] | WEEE reverse logistics model | |||||
[47] | Evaluation and selection of third-party logistics service | |||||
[48] | Selection of outsourcing firm for WEEE management | |||||
[49] | Evaluation of alternatives for WEEE management | |||||
[44] | Determine the WEEE priority to be included in the extended producer responsibility system | |||||
[50] | Analysis of barriers affecting the implementation of WEEE management | |||||
[9] | Analysis of barriers affecting the implementation of WEEE management | |||||
[51] | WEEE recycling partner evaluation | |||||
[18] | Prioritizing the solutions of reverse logistics | |||||
[52] | Evaluation and selection of third-party reverse logistics partner | |||||
[53] | Designing a sustainable recovery network | |||||
[54] | A closed-loop supply chain with a circular economy approach | |||||
[19] | Prioritizing solutions for reverse logistics barriers | |||||
[55] | Clustering and reducing supply chains complexity | |||||
[56] | Outsourcing contracts selection | |||||
[6] | New scenarios assessment | |||||
[57] | Prioritizing reverse logistics barriers | |||||
[58] | Innovation strategies for reverse logistics | |||||
[59] | Sustainable planning of WEEE recycling activities | |||||
[60] | Interdependence among the e-waste mitigation strategies (MS) by cause/effect analysis | |||||
[61] | Solutions for reverse logistics | |||||
[7] | Type of carrier to be used | |||||
[62] | Mobile collection with application of artificial intelligence | |||||
[63] | WEEE collection on demand | |||||
[36] | Improve WEEE management | |||||
[64] | Select hazardous waste carriers | |||||
[65] | Transportation network | |||||
[66] | Evaluation of sites for the location of WEEE recycling plants | |||||
[67] | Plant site selection | |||||
[14] | Material recovery from WEEE | |||||
[68] | Robotic disassembly to support recycling and recovery | |||||
[69] | Evaluation the performance of WEEE recycling programs | |||||
[70] | Units of Treatment and Recycling (UTR) | |||||
[71] | Recover primary constituents from computers | |||||
[72] | Location for Waste Electrical and Electronic Equipment (WEEE) recycling plant | |||||
[28] | Assessment of three types of waste treatment | |||||
[73] | Assess the residual value, environmental burden, weight, quantity, and ease of disassembly of each component | |||||
[5] | Identify potential candidate products | |||||
[74] | Identify potential candidate products | |||||
[75] | Optimal WEEE management scheme among alternative options: recycling; reuse; disposal; export | |||||
[76] | Best copper waste management model | |||||
[77] | Alternative systems for the WEEE management |
Single Approach | Ref. |
AHP | [14,36,49,74] |
Fuzzy optimization method | [45,63,65,69] |
Multiple objective linear programming | [7,28,46,75] |
DEMATEL | [9,51,55,61] |
TOPSIS | [19,60,76] |
PROMETHEE | [66,77] |
CPP | [37,58] |
ELECTRE III | [70] |
WSM | [55] |
RRR | [68] |
MMM | [73] |
ISC | [6] |
MOGA | [53] |
MAGIQ | [71] |
Combined Approach | Ref. |
AHP and VIKOR | [47,52,53,64] |
AHP and TOPSIS | [18,48] |
AHP and Delphi | [5,44] |
BWM and VIKOR | [72] |
AHP-Fuzzy | [49] |
BOCR-TBL and ANP | [58] |
AHP and ANP with ELECTRE and PROMETHEE | [67] |
MAUT and PROMETHEE | [56] |
Genetic Algorithms (GA) and GRASP | [61] |
Ref. | Number of Criteria | Criteria Type | ||||
---|---|---|---|---|---|---|
Environmental | Economic | Social | Technical | Legal | ||
[72] | 28 | X | X | X | X | X |
[58] | 28 | X | X | X | ||
[48] | 25 | X | X | X | X | |
[77] | 17 | X | X | X | X | |
[60] | 15 | X | X | X | X | X |
[45] | 14 | X | X | X | ||
[64] | 14 | X | X | X | X | |
[36] | 12 | X | X | X | X | X |
[75] | 12 | X | X | X | X | |
[37] | 11 | X | X | |||
[50] | 10 | X | X | X | X | |
[48,68] | 10 | X | X | X | ||
[66] | 10 | X | X | X | ||
[54] | 10 | X | X | |||
[6] | 9 | X | X | X | ||
[71] | 9 | X | ||||
[19,58] | 8 | X | X | X | ||
[54,60] | 8 | X | X | X | ||
[28] | 8 | X | X | X | ||
[67] | 7 | X | X | X | ||
[52] | 7 | X | ||||
[9] | 6 | X | X | X | X | |
[49] | 6 | X | X | X | X | |
[51] | 6 | X | X | X | X | |
[18] | 6 | X | X | X | ||
[74] | 6 | X | X | X | ||
[14] | 6 | X | X | |||
[46] | 5 | X | X | X | X | |
[73] | 5 | X | X | |||
[76] | 5 | X | ||||
[62] | 5 | X | ||||
[69] | 4 | X | X | X | X | |
[5,44] | 4 | X | X | |||
[70] | 3 | X | X | X | ||
[7] | 3 | X | X | |||
[56] | 3 | X | X | |||
[61] | 3 | X | X | |||
[63,65] | 3 | X | ||||
[55] | 2 | X | X |
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Marinello, S.; Gamberini, R. Multi-Criteria Decision Making Approaches Applied to Waste Electrical and Electronic Equipment (WEEE): A Comprehensive Literature Review. Toxics 2021, 9, 13. https://doi.org/10.3390/toxics9010013
Marinello S, Gamberini R. Multi-Criteria Decision Making Approaches Applied to Waste Electrical and Electronic Equipment (WEEE): A Comprehensive Literature Review. Toxics. 2021; 9(1):13. https://doi.org/10.3390/toxics9010013
Chicago/Turabian StyleMarinello, Samuele, and Rita Gamberini. 2021. "Multi-Criteria Decision Making Approaches Applied to Waste Electrical and Electronic Equipment (WEEE): A Comprehensive Literature Review" Toxics 9, no. 1: 13. https://doi.org/10.3390/toxics9010013