Supplier selection for carbon emission reduction collaboration in green supply chain using an improved multi-criteria decision-making method DOI
Qīng Wáng, Xiaoli Zhang, Jiafu Su

et al.

Asia Pacific Journal of Marketing and Logistics, Journal Year: 2024, Volume and Issue: 36(8), P. 1918 - 1945

Published: Feb. 15, 2024

Purpose Platform-based enterprises, as micro-entities in the platform economy, have potential to effectively promote low-carbon development of both supply and demand sides chain. Therefore, this paper aims provide a multi-criteria decision-making method probabilistic hesitant fuzzy environment assist platform-type companies selecting cooperative suppliers for carbon reduction green chains. Design/methodology/approach This combines advantages sets (PHFS) address uncertainty issues proposes an improved called PHFS-DNMEREC-MABAC aiding platform-based enterprises emission collaboration Within method, we enhance standardization process DNMEREC MABAC methods by directly standardizing elements. Additionally, probability splitting algorithm is introduced handle elements varying lengths, mitigating information bias that traditional approaches tend introduce when adding values based on risk preferences. Findings In paper, apply proposed case study involving selection Tmall Mart compare it with latest existing methods. The results demonstrate applicability effectiveness avoiding bias. Originality/value Firstly, new decision making Secondly, provided standard information. Finally, was avoid dealing inconsistent lengths

Language: Английский

Preference-based multi-attribute decision-making method with spherical-Z fuzzy sets for green product design DOI
Zhongwei Huang, H. H. Zhang, Danqi Wang

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2023, Volume and Issue: 126, P. 106767 - 106767

Published: July 21, 2023

Language: Английский

Citations

26
An enhanced fuzzy IDOCRIW-COCOSO multi-attribute decision making algorithm for decisive electric vehicle battery recycling method DOI Creative Commons

Thirumalai Nallasivan Parthasarathy,

Samayan Narayanamoorthy,

Chakkarapani Sumathi Thilagasree

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 22, P. 102272 - 102272

Published: May 17, 2024

An adaptation to electric mobility quickens waste management tasks for recyclers end-to-end processing of marketed vehicle batteries. Especially lithium-ion batteries play a prominent role in electrifying the world e-transport technology innovation. This research offers multi-attribute decision-making (MADM) structure finding best performance e-vehicle recycling techniques. The structured algorithm combines an advanced stratified MADM strategy with e-transportation optimal evaluates results qualitative attributes and alternatives using weighted-ranking approach. importance is calculated blending dual objective-weighted approaches: entropy CILOS methods, viz., aggregated IDOCRIW ranking determined through COCOSO method hesitation environment. q-rung orthopair picture fuzzy set (q-ROPFS) used cope uncertainty vagueness decision analysis. feasibility robustness suggested were validated different methods by altering crucial ranking-dependent parameters problem.

Language: Английский

Citations

12
Innovation in Financial Health Assessment: Applying MCDM Techniques to Banks in Vietnam DOI Creative Commons
Do Duc Trung, Branislav Dudić, Dung Hoang Tien

et al.

Economics, Journal Year: 2024, Volume and Issue: 12(2), P. 21 - 33

Published: May 1, 2024

Abstract Assessing the financial health of banks is crucial to ensure stability system. This not only a way safeguard interests customers and shareholders but also prevent inherent risks reliability in banking operations. Thus, evaluating plays role maintaining sustainable development sector. study employed three methods: RAM (Root Assessment Method), PSI (Preference Selection Index), SRP (Simple Ranking Process), assess twenty-eight Vietnam. Capital adequacy rating, asset quality management earnings liquidity sensitivity market risk rating are six criteria used characterize each bank. The evaluation results using these methods were compared with other CAMELS identified good those weak health. notable point that ranking RAM, PSI, SRP, according system quite similar. These findings vital providing valuable information for managers investors, aiding them making informed decisions regarding investment, management, strategies based on empirical data.

Language: Английский

Citations

11
Integrating intuitionistic fuzzy and MCDM methods for sustainable energy management in smart factories DOI Creative Commons
Mohd Anjum, Naoufel Kraïem, Hong Min

et al.

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(1), P. e0315251 - e0315251

Published: Jan. 14, 2025

Improving energy efficiency is crucial for smart factories that want to meet sustainability goals and operational excellence. This study introduces a novel decision-making framework optimize in manufacturing environments, integrating Intuitionistic Fuzzy Sets (IFS) with Multi-Criteria Decision-Making (MCDM) techniques. The proposed approach addresses key challenges, including reducing carbon footprints, managing operating costs, adhering stringent environmental standards. Eight essential criteria are identified, such as the use of renewable energy, production, health safety workers, evaluate performance. Using entropy method criterion weighting CRADIS technique alternative ranking, we prioritize range energy-efficient solutions. novelty our lies its comprehensive assessment complex real-world management scenarios within factories, offering robust adaptable decision-support tool. Our empirical results, validated through sensitivity analysis, show 5 delivers most significant improvement efficiency. provides valuable information industry practitioners seeking transition more sustainable production methods supports broader agenda.

Language: Английский

Citations

1
Evaluating municipal solid waste management with a confidence level-based decision-making approach in q-rung orthopair picture fuzzy environment DOI
P. K. Chatterjee, Mijanur Rahaman Seikh

Journal of Industrial Information Integration, Journal Year: 2024, Volume and Issue: unknown, P. 100708 - 100708

Published: Oct. 1, 2024

Language: Английский

Citations

7
Integrating Fuzzy Rough Sets with LMAW and MABAC for Green Supplier Selection in Agribusiness DOI Creative Commons
Adis Puška, Anđelka Štilić, Miroslav Nedeljković

et al.

Axioms, Journal Year: 2023, Volume and Issue: 12(8), P. 746 - 746

Published: July 29, 2023

The evolving customer demands have significantly influenced the operational landscape of agricultural companies, including transformation their supply chains. As a response, many organizations are increasingly adopting green chain practices. This paper focuses on initial step selecting supplier, using case study Semberka Company. objective is to align company with requirements and market trends. Expert decision making, grounded in linguistic values, was employed facilitate these values into fuzzy numbers subsequently derive rough number boundaries. Ten economic-environmental criteria were identified, six suppliers evaluated against criteria. LMAW (Logarithm Methodology Additive Weights) method determine weights, emphasis placed quality criterion. MABAC (Multi-Attributive Border Approximation Area Comparison) then utilized rank identify top performer. validity results established through validation techniques sensitivity analysis. research contributes novel approach supplier selection, employing powerful tool sets. flexible nature this suggests its potential application future investigations. limitation more complicated calculations for maker. However, adapted human thinking minimizes ambiguity uncertainty research, it necessary combine other methods multi-criteria

Language: Английский

Citations

13
An extended MARCOS approach and generalized Dombi aggregation operators-based group decision-making for emergency logistics suppliers selection utilizing q-rung picture fuzzy information DOI
Yuan Rong, Liying Yu

Granular Computing, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 19, 2024

Language: Английский

Citations

5
A Multicriteria-Based Comparison of Electric Vehicles Using q-Rung Orthopair Fuzzy Numbers DOI Creative Commons
Sanjib Biswas, Aparajita Sanyal, Darko Božanić

et al.

Entropy, Journal Year: 2023, Volume and Issue: 25(6), P. 905 - 905

Published: June 6, 2023

The subject of this research is the evaluation electric cars and choice car that best meets set criteria. To end, criteria weights were determined using entropy method with two-step normalization a full consistency check. In addition, was extended further q-rung orthopair fuzzy (qROF) information Einstein aggregation for carrying out decision making under uncertainty imprecise information. Sustainable transportation selected as area application. current work compared 20 leading EVs in India proposed decision-making model. comparison designed to cover two aspects: technical attributes user opinions. For ranking EVs, recently developed multicriteria (MCDM) model, alternative order (AROMAN), used. present novel hybridization method, (FUCOM), AROMAN an uncertain environment. results show electricity consumption criterion (w = 0.0944) received greatest weight, while ranked A7. also robustness stability, revealed through other MCDM models sensitivity analysis. different from past studies, it provides robust hybrid model uses both objective subjective

Language: Английский

Citations

12
The Influence of Objective Weight Determination Methods on Electric Vehicle Selection in Urban Logistics DOI Creative Commons
Adis Puška, Ilija Stojanović, Anđelka Štilić

et al.

Journal of Intelligent Management Decision, Journal Year: 2023, Volume and Issue: 2(3), P. 117 - 129

Published: Aug. 10, 2023

This study addresses the challenge of selecting appropriate electric vehicles for urban logistics, with a specific focus on impact various multi-criteria analysis methods this complex decision-making process. The investigation utilizes mixed methodology, combining objective weight determination methods, such as Entropy, CRITIC (Criteria through Inter-Criteria Correlation), and MEREC (Method Based Removal Effects Criteria), alongside standard deviation modified version method. Simple Additive Weighting (SAW) method was further employed alternative ranking. Application these across nine diverse Small Van vehicles, assessed according to 12 criteria, highlighted paramountcy Charge Time Cargo Volume factors bearing most significant in decision-making. Toyota Proace City Verso Electric L2 emerged superior choice under conditions. Yet, results varied when applying weights deduced method, leading ascendency Renault Kangoo E-Tech. underscores that criteria plays an influential role ranking alternatives, hence, requirement decision-makers' subjectivity final choice, factoring unique attributes individual companies. research contributes understanding how can facilitate vehicle selection playing crucial part reducing harmful emissions.

Language: Английский

Citations

11
A large-scale multi-attribute group decision-making method with R-numbers and its application to hydrogen fuel cell logistics path selection DOI Creative Commons
Rui Cheng, Jianping Fan, Meiqin Wu

et al.

Complex & Intelligent Systems, Journal Year: 2024, Volume and Issue: 10(4), P. 5213 - 5260

Published: April 22, 2024

Abstract The large-scale multi-attribute group decision-making (LSMAGDM) problem has become a hot research topic in the field of decision science. An R-numbers (R-LSMAGDM) model is proposed to be constructed this paper based on advantages capturing risks. First, most commonly used clustering method, k -means, introduced determine sub-groups. Then, new sub-group weighting determination by considering size and entropy. Next, we also build an optimized consensus-reaching improving calculation method mean value. weighted Hamy (RNWHM) operator aggregate information. In addition, logarithmic percentage change-driven objective (LOPCOW) compromise ranking alternatives from distance ideal solution (CRADIS) are for attribute alternative ranking, respectively. Finally, effectiveness verified application example hydrogen fuel cell logistics path selection.

Language: Английский

Citations

4