A Performance-Oriented Optimization Framework Combining Meta-Heuristics and Entropy-Weighted TOPSIS for Multi-Objective Sustainable Supply Chain Network Design

Guo, Yurong; Shi, Qin; Guo, Chiming

doi:10.3390/electronics11193134

Cited by 4 publications

(5 citation statements)

References 41 publications

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“…The results of different decision-making methods are listed in Table 3, according to the methods described in the literature. Relative proximity is used for PT-TOPSIS [39] and EW-TOPSIS [8], while prospect values are used for other methods. From Table 3, we can see that the final decision results obtained by the proposed method are consistent with the decision outcomes of various prospect theory models, including prospect theory TOPSIS (PT-TOPSIS) [39], entropy weight TOPSIS (EW-TOPSIS) [8], classical prospect theory (PT) [24], fuzzy prospect theory (FPT) [33], and rough numbers-based prospect theory (RPT) [26].…”

Section: Comparative Analysis Using Different Methods For Decision-ma...mentioning

confidence: 99%

“…(A 1 , A 2 , A 3 ) = (0.7009, −0.3050, −1.5849) A 1 ≻ A 2 ≻ A 3 PT-TOPSIS [39] (A 1 , A 2 , A 3 ) = (1.0000, 0.3607, 0.0000) A 1 ≻ A 2 ≻ A 3 EW-TOPSIS [8] (A 1 , A 2 , A 3 ) = (0.631, 0.369, 0.000) A 1 ≻ A 2 ≻ A 3 PT [24] (A 1 , A 2 , A 3 ) = (0.6742, −0.3404, −1.517) [33] (A 1 , A 2 , A 3 ) = (0.6746, −0.4329, −1.5186) [26] (A 1 , A 2 , A 3 ) = (0.6739, −0.4498, −1.5165)…”

Section: Proposed Methodsmentioning

confidence: 99%

“…The remaining indexes underwent similar evaluations. The fuzzy evaluation matrix was obtained utilizing Equation (8). When decision makers tend to be risk-seeking, the evaluation matrix is obtained as X 1 .…”

Section: Emergency Decision-making 441 Establish the Fuzzy Evaluation...mentioning

confidence: 99%

“…In order to minimize accident losses and casualties as much as possible, numerous scholars have conducted extensive research on emergency decision-making. Currently, various methods are employed for addressing such decision-making problems, including TOPSIS [6,7], entropy weight TOP-SIS (EW-TOPSIS) [8][9][10], the fuzzy analytic hierarchy process (FAHP) [7,[11][12][13][14], case-based reasoning (CBR) [15][16][17], etc. These methods have undergone continuous improvement and gained widespread usage; however, most of the relevant studies were conducted based on the assumption that decision-makers exhibit full rationality in their decision-making process without considering individual risk preferences.…”

Section: Introductionmentioning

confidence: 99%

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An Emergency Decision-Making Method for Coal Spontaneous Combustion Based on Improved Prospect Theory

Zeng,

Jing,

Zhu

2024

Processes

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In response to the limited available information during the initial stages of coal spontaneous combustion and the influence of decision makers’ risk preferences on decision-making, this paper proposes an emergency decision-making method for coal spontaneous combustion that integrates grey correlation degree and TOPSIS with an enhanced prospect theory. Firstly, a normalized weighted evaluation matrix is established for the emergency response plan of coal spontaneous combustion, and the entropy method is utilized to determine the weights of various indexes. Then, considering the imperfect rationality of decision makers and their diverse individual risk preferences, they are categorized into three types: risk-seeking type, risk-neutral type, and risk-averse type. The corresponding risk coefficients are determined based on these different types. Positive and negative ideal solutions are taken as reference points, and matrices representing gains and losses are constructed. The grey correlation degree is introduced to calculate both positive and negative prospect values based on these matrices. Moreover, the prospect value for each emergency response plan is calculated, respectively, based on different types of decision makers, and the entropy method is used to assign weights to decision makers according to their respective risk preferences. Consequently, based on these prospect values and the weights, comprehensive prospect values for each emergency response plan are obtained and ranked to identify the optimal one. Finally, in order to validate the effectiveness of our proposed approach, a case study is conducted, and the results obtained from this case study are discussed and compared with those from other methods.

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Section: Comparative Analysis Using Different Methods For Decision-ma...mentioning

confidence: 99%

Section: Proposed Methodsmentioning

confidence: 99%

Section: Emergency Decision-making 441 Establish the Fuzzy Evaluation...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Emergency Decision-Making Method for Coal Spontaneous Combustion Based on Improved Prospect Theory

Zeng,

Jing,

Zhu

2024

Processes

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“…Low-carbon logistics capacity evaluation is a typical multi-criteria decision-making (MCDM) issue, which utilizes multiple measurement indicators for assessing provincial low-carbon logistics capacity. As a generally used MCDM method, the technique for order preference by similarity to an ideal solution (TOPSIS) is a methodology used to sort finite evaluation objects according to their proximity to the ideal solution, which has been widely used to evaluate concerns [42,46]. In order to highlight the varying degrees of importance of various indicators in the evaluation index, this paper employs the entropy method to calculate the weights for multiple indicators and then combines the TOPSIS model to evaluate and rank the low-carbon logistics capacity [47,48].…”

Section: Methodsmentioning

confidence: 99%

Determinants of Low-Carbon Logistics Capability Based on Dynamic fsQCA: Evidence from China’s Provincial Panel Data

et al. 2023

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The fast-paced growth of the logistics industry has contributed significantly to China’s high-quality economic development. However, the growth of the logistics industry is frequently accompanied by high levels of pollution, carbon emissions, and energy consumption. How to increase low-carbon logistics capacity has emerged as a research hotspot under the dual carbon goals. This study used entropy weight TOPSIS to evaluate the low-carbon logistics capacity and dynamic fuzzy-set qualitative comparative analysis (fsQCA) to shed light on the antecedent conditions that influenced low-carbon logistics capability by using panel data from 30 Chinese provinces between 2008 and 2021. Based on the empirical results, several conclusions are drawn: (1) The comprehensive score show that while province low-carbon logistics capacity varies, most of them exhibit a general growing tendency in most provinces, where Beijing, Shanghai, Tianjin, Guangdong and Zhejiang rank among the top five. (2) Three configurations, digital empower capital intensive type, digital empower labor intensive type, and green ecology plus technology innovation type that lead to better low-carbon logistics capacity. Related policy recommendations are proposed, including strengthening the synergistic development of the digital economy and the logistics industry, promoting research and development of green and innovative technologies, and reinforcing the constraints of the dual-carbon target.

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An integrated approach to design and evaluate Chinese-style stools

Min,

Zhaoxian,

Jiang

2023

IFS

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To inherit and promote the excellent design characteristics of Chinese-style furniture, this study focuses on Chinese-style stools and proposes an integrated design and evaluation approach with combination of shape grammar, KANO model, and entropy-weighted VIekriterijumsko KOmpromisno Rangiranje (VIKOR) methods. Firstly, based on the initial forms of five Chinese-style stools, a shape feature library is constructed by extracting shape features using regional cultural symbols. Secondly, combining shape grammar and inference rules, innovative design alternatives are generated for Chinese-style stools, incorporating regional cultural symbol features. Thirdly, an in-depth investigation of Chinese-style furniture market is conducted, and user requirements are analyzed using KANO model questionnaire, categorizing the requirements into three attributes: appearance, technological, and economic. Based on KANO model’s classification of user requirements, a set of 14 evaluation criteria for Chinese-style stools is established. Finally, to avoid subjective factors in weighting the criteria, the entropy-weighted method is applied, and VIKOR method is utilized to obtain the optimal ranking of the design alternatives for Chinese-style stools, ultimately selecting the optimal alternative. The results show that based on VIKOR method, the optimal solution is the same with comparison to the results obtained from Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), preference ranking organization methods for enrichment evaluations (PROMETHEE) and elimination and et choice translating reality (ELECTRE) methods. In addition, to verify its ergonomic characteristics, feasibility and rationality, the optimal alternative is simulated by JACK software. By integrating shape grammar, KANO model, and the entropy-weighted VIKOR method, this study provides some insights for incorporating regional cultural symbols into the design of Chinese-style furniture and exhibits certain advantages in terms of comprehensive evaluation, user orientation, decision objectivity, and consideration of diversity.

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A Performance-Oriented Optimization Framework Combining Meta-Heuristics and Entropy-Weighted TOPSIS for Multi-Objective Sustainable Supply Chain Network Design

Cited by 4 publications

References 41 publications

An Emergency Decision-Making Method for Coal Spontaneous Combustion Based on Improved Prospect Theory

An Emergency Decision-Making Method for Coal Spontaneous Combustion Based on Improved Prospect Theory

Determinants of Low-Carbon Logistics Capability Based on Dynamic fsQCA: Evidence from China’s Provincial Panel Data

An integrated approach to design and evaluate Chinese-style stools

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