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Li A. Human error risk prioritization in crane operations based on CPT and ICWGT. PLoS One 2024; 19:e0297120. [PMID: 38300943 PMCID: PMC10833522 DOI: 10.1371/journal.pone.0297120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 12/27/2023] [Indexed: 02/03/2024] Open
Abstract
Human error plays a significant role in crane safety. To increase the accuracy and rationality of human error risk prioritization for crane operations, this study proposes a risk prioritization model for human errors in crane operations based on the cumulative prospect theory (CPT) and the improved combination weighting model of game theory (ICWGT). The ICWGT integrates the risk-factor weights obtained via subjective and objective methods. Trapezoidal fuzzy numbers are used to describe experts' uncertainty information. Then, the CPT is applied to handle the assessment of experts' risk attitudes in the decision process. The human error risk ranking of crane operations is obtained according to the overall prospect values calculated using the CPT. A case study of human error in overhead crane operations was conducted, and sensitivity and comparison analyses confirmed the feasibility of the proposed model. The proposed ranking mechanism for human error risk priority in crane operations is helpful for crane risk management.
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Affiliation(s)
- Aihua Li
- College of Mechanical Engineering, Yancheng Institute of Technology, Yancheng, 224051, Jiangsu, China
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Zhang F, Li M, Ye Z, Niu Y. A multi-stage group decision making approach for sustainable supplier selection based on probabilistic linguistic time-ordered incentive operator. PLoS One 2023; 18:e0293019. [PMID: 37906603 PMCID: PMC10617744 DOI: 10.1371/journal.pone.0293019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 10/04/2023] [Indexed: 11/02/2023] Open
Abstract
This study proposes a novel multi-stage multi-attribute group decision making method under a probabilistic linguistic environment considering the development state and trend of alternatives. First, the probabilistic linguistic term set (PLTS) is used by decision makers (DMs) to describe qualitative evaluation information. Subsequently, the weights of DMs for different attributes in different periods are determined by the credibility degree, which is combined with the hesitancy degree and the similarity degree. The evaluations of different DMs for alternatives and the evaluations of DMs' intentions to reward or punish are then aggregated. Later, the trend change level and the trend change stability of alternatives are measured through the means of reward and punishment incentives. Additionally, the probabilistic linguistic time-ordered incentive operator is proposed to aggregate the development state evaluation information and development trend evaluation information in different periods, and alternatives are prioritized by the extended TOPSIS method in the probabilistic linguistic environment. Finally, the practical use of the proposed decision framework is validated by using a sustainable supplier selection problem, and the effectiveness and the applicability of the framework are discussed through comparative analysis. The results show that the proposed approach can select suitable sustainable suppliers by considering their development state and trend in multiple stages.
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Affiliation(s)
- Faming Zhang
- Business School, Guilin University of Electronic Technology, Guilin, China
| | - Meixing Li
- Business School, Guilin University of Electronic Technology, Guilin, China
| | - Zhaoqing Ye
- College of Foreign Studies, Guilin University of Electronic Technology, Guilin, China
| | - Yufei Niu
- School of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou, China
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Grachev DI, Chizhmakov EA, Stepanov DY, Buslovich DG, Khulaev IV, Deshev AV, Kirakosyan LG, Arutyunov AS, Kardanova SY, Panin KS, Panin SV. Dental Material Selection for the Additive Manufacturing of Removable Complete Dentures (RCD). Int J Mol Sci 2023; 24:ijms24076432. [PMID: 37047405 PMCID: PMC10094705 DOI: 10.3390/ijms24076432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 03/20/2023] [Accepted: 03/27/2023] [Indexed: 03/31/2023] Open
Abstract
This research addresses the development of a formalized approach to dental material selection (DMS) in manufacturing removable complete dentures (RDC). Three types of commercially available polymethyl methacrylate (PMMA) grades, processed by an identical Digital Light Processing (DLP) 3D printer, were compared. In this way, a combination of mechanical, tribological, technological, microbiological, and economic factors was assessed. The material indices were calculated to compare dental materials for a set of functional parameters related to feedstock cost. However, this did not solve the problem of simultaneous consideration of all the material indices, including their significance. The developed DMS procedure employs the extended VIKOR method, based on the analysis of interval quantitative estimations, which allowed the carrying out of a fully fledged analysis of alternatives. The proposed approach has the potential to enhance the efficiency of prosthetic treatment by optimizing the DMS procedure, taking into consideration the prosthesis design and its production route.
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Affiliation(s)
- Dmitry I. Grachev
- Digital Dentistry Department, A.I. Yevdokimov Moscow State University of Medicine and Dentistry, 127473 Moscow, Russia
| | - Evgeny A. Chizhmakov
- Prosthodontics Technology Department, A.I. Yevdokimov Moscow State University of Medicine and Dentistry, 127473 Moscow, Russia
| | - Dmitry Yu. Stepanov
- Laboratory of Mechanics of Polymer Composite Materials, Institute of Strength Physics and Materials Science of Siberian Branch of Russian Academy of Sciences, 634055 Tomsk, Russia
| | - Dmitry G. Buslovich
- Laboratory of Nanobioengineering, Institute of Strength Physics and Materials Science of Siberian Branch of Russian Academy of Sciences, 634055 Tomsk, Russia
| | - Ibragim V. Khulaev
- Institute of Dentistry and Maxillofacial Surgery, Kabardino-Balkarian State University Named after H.M. Berbekov, 360004 Nalchik, Russia
| | - Aslan V. Deshev
- Laboratory of Digital Dentistry, Kabardino-Balkarian State University Named after H.M. Berbekov, 360004 Nalchik, Russia
| | - Levon G. Kirakosyan
- Digital Dentistry Department, A.I. Yevdokimov Moscow State University of Medicine and Dentistry, 127473 Moscow, Russia
| | - Anatoly S. Arutyunov
- Prosthodontics Technology Department, A.I. Yevdokimov Moscow State University of Medicine and Dentistry, 127473 Moscow, Russia
| | - Svetlana Yu. Kardanova
- Institute of Dentistry and Maxillofacial Surgery, Kabardino-Balkarian State University Named after H.M. Berbekov, 360004 Nalchik, Russia
| | - Konstantin S. Panin
- Department of Chemical Physics, Institute for Laser and Plasma Technologies, National Research Nuclear University MEPhI, 115409 Moscow, Russia
| | - Sergey V. Panin
- Laboratory of Mechanics of Polymer Composite Materials, Institute of Strength Physics and Materials Science of Siberian Branch of Russian Academy of Sciences, 634055 Tomsk, Russia
- Correspondence:
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Ali W, Shaheen T, Haq IU, Toor HG, Akram F, Jafari S, Uddin MZ, Hassan MM. Multiple-Attribute Decision Making Based on Intuitionistic Hesitant Fuzzy Connection Set Environment. Symmetry (Basel) 2023. [DOI: 10.3390/sym15030778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2023] Open
Abstract
The intuitionistic hesitant fuzzy set (IHFS) is an enriched version of hesitant fuzzy sets (HFSs) that can cover both fuzzy sets (FSs) and intuitionistic fuzzy sets (IFSs). By assigning membership and non-membership grades as subsets of [0, 1], the IHFS can model and handle situations more proficiently. Another related theory is the theory of set pair analysis (SPA), which considers both certainties and uncertainties as a cohesive system and represents them from three aspects: identity, discrepancy, and contrary. In this article, we explore the suitability of combining the IHFS and SPA theories in multi-attribute decision making (MADM) and present the hybrid model named intuitionistic hesitant fuzzy connection number set (IHCS). To facilitate the design of a novel MADM algorithm, we first develop several averaging and geometric aggregation operators on IHCS. Finally, we highlight the benefits of our proposed work, including a comparative examination of the recommended models with a few current models to demonstrate the practicality of an ideal decision in practice. Additionally, we provide a graphical interpretation of the devised attempt to exhibit the consistency and efficiency of our approach.
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Affiliation(s)
- Wajid Ali
- Department of Mathematics, Air University, E-9, Islamabad 44000, Pakistan
| | - Tanzeela Shaheen
- Department of Mathematics, Air University, E-9, Islamabad 44000, Pakistan
| | - Iftikhar Ul Haq
- Department of Mathematics, Air University, E-9, Islamabad 44000, Pakistan
| | - Hamza Ghazanfar Toor
- Biomedical Engineering Department, Riphah International University, Islamabad 46000, Pakistan
| | - Faraz Akram
- Biomedical Engineering Department, Riphah International University, Islamabad 46000, Pakistan
| | - Saeid Jafari
- Mathematical and Physical Science Foundation, 4200 Slagelse, Denmark
| | - Md. Zia Uddin
- Software and Service Innovation, SINTEF Digital, 0373 Oslo, Norway
| | - Mohammad Mehedi Hassan
- Information Systems Department, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia
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MCDM Model for Evaluating and Selecting the Optimal Facility Layout Design: A Case Study on Railcar Manufacturing. Processes (Basel) 2023. [DOI: 10.3390/pr11030869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/17/2023] Open
Abstract
Facility layout in a manufacturing system is a complex production activity because decisions on layout design are influenced by numerous, ambiguous, and competing factors. This study proposes a method for determining and choosing an ideal layout using a hybridized Fuzzy Analytic Hierarchy Process (F-AHP) with the Fuzzy Technique for Order of Preference by Similarity to the Ideal Solution (F-TOPSIS). The F-AHP is used, in this case, because of its ability to generate design criteria weight. The railcar industrial case study results indicate that the developed model can effectively lead to selection of the most suitable facility layout design. The Discrete Event Simulation model is used to evaluate the performance of the suggested layout concepts with the purpose of determining quantitative criteria for use when selecting the most optimal concept by the proposed Fuzzy AHP-TOPSIS model. The proposed methodology demonstrated that a framework is a logical way to solve problems. The proposed Fuzzy AHP-TOPSIS methodology is capable of selecting the best layout concept based on the set decision criteria. Layout concept three was the best in terms of the closeness coefficient, which was more than 0.9 for both batching and non-batching processing.
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CFD Analysis and Optimum Design for a Centrifugal Pump Using an Effectively Artificial Intelligent Algorithm. MICROMACHINES 2022; 13:mi13081208. [PMID: 36014130 PMCID: PMC9414039 DOI: 10.3390/mi13081208] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 07/20/2022] [Accepted: 07/23/2022] [Indexed: 01/05/2023]
Abstract
In this study, we proposed a novel approach to improve centrifugal pump performance with regard to the pump head, pump efficiency, and power. Firstly, to establish constraints, an optimal numerical model that accounted for factors such as pump efficiency and the head was considered. The pump was designed, and an artificial intelligence algorithmic approach was applied to the pump before performing experiments. We considered a set of models by selecting the parameters of the centrifugal pump casing section area, the interference of the impeller, the volute tongue length, and the volute tongue angle. The weights of the factors of safety and displacement on the optimization indices were estimated. The matrix of the weights for the optimal process was less than 38% or greater than 62%. This approach guarantees a complicated multi-objective optimization problem. The results show that the centrifugal pump performances were improved.
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