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Symmetry
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Symmetry in Industrial Engineering
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Symmetry in Industrial Engineering

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".

Deadline for manuscript submissions: closed (15 May 2022) | Viewed by 12192

Special Issue Editors

Prof. Dr. Kaiway Li

E-Mail Website
Guest Editor
Department of Industrial Management, Chung Hua University, Hsin-Chu, Taiwan
Interests: drone ergonomics; human–virtual object interactions; physical ergonomics; human movement science
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Yupeng Li

E-Mail Website
Guest Editor
Department of Industrial Engineering, School of Mines, China University of Mining and Technology, Xuzhou, China
Interests: research & development of complex product and systems: theories and techniques: product evolution, design change management, product modularization et al.; decision making: theories and applications: multi-attributes decision making (MADM), interactions of multi-attributes group decision making (MAGDM) and opinion dynamics; data mining: clustering and outlier detection for the dataset with mixed-valued attributes
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Symmetry/asymmetry phenomena commonly occur in industry. Those phenomena may or may not be clear to humans. Information concerning the symmetry or asymmetry phenomena in industry helps to identify ways and solutions to improve its operation. This Special Issue invites all researchers and scholars to submit their research findings so as to share the knowledge on the symmetry/asymmetry phenomena related to industry. Papers concerning theories, applications of methodologies, and systematic reviews in all aspects of industrial engineering are welcomed. This includes, but is not limited to, manufacturing techniques, operation management, process and materials flow, scheduling of work process, quality control, facility layout and planning, work system design, work envieronment management, safety and health at work, worker/operator behaviors, and so on.

Prof. Dr. Kaiway Li
Prof. Dr. Yupeng Li
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Symmetry is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • operation management
  • quality control
  • scheduling and process control
  • facility layout
  • health and safety at work
  • occupational ergonomics
  • physical/mental workload
  • product engineering

Published Papers (6 papers)

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Research

16 pages, 1364 KiB  
Article
An Integrated Approach for Failure Mode and Effects Analysis Based on Weight of Risk Factors and Fuzzy PROMETHEE Ⅱ
by Xiaozhen Lian, Liang Hou, Wenbo Zhang, Xiangjian Bu and Huasheng Yan
Symmetry 2022, 14(6), 1196; https://doi.org/10.3390/sym14061196 - 09 Jun 2022
Cited by 3 | Viewed by 1471
Abstract
Design experts need to fully understand the failure risk of a product to improve its quality and reliability. However, design experts have different understandings of and concepts in the risk evaluation process, which will lead to cognitive asymmetry in the product’s redesign. This [...] Read more.
Design experts need to fully understand the failure risk of a product to improve its quality and reliability. However, design experts have different understandings of and concepts in the risk evaluation process, which will lead to cognitive asymmetry in the product’s redesign. This phenomenon of cognitive asymmetry prevents experts from improving the reliability of a product, increasing the risk of product development failure. Traditionally, failure mode and effects analysis (FMEA) has been widely used to identify the failure risk in redesigning products and a system’s process. The risk priority number (RPN), which is determined by the risk factors (RF), namely, the occurrence (O), severity (S), and detection (D), is the index used to determine the priority ranking of the failure modes (FM). However, the uncertainty about the evaluation information for the RF and the coupling relationship within the FM have not been taken into account jointly. This paper presents an integrated approach for FMEA based on an interval-valued intuitionistic fuzzy set (IVIFS), a fuzzy information entropy, a non-linear programming model, and fuzzy PROMETHEE Ⅱ to solve the problem of cognitive asymmetry between experts in the risk evaluation process. The conclusions are as follows: Firstly, an IVIFS is used to present the experts’ evaluation information of the RF with uncertainty, and the fuzzy information entropy is utilized to obtain the weight of the experts to integrate the collective decision matrix. Secondly, a simplified non-linear programming model is utilized to obtain the weight of the RF to derive the weighted preference index of the FM. Subsequently, the coupling relationship within the FM is estimated by fuzzy PROMETHEE Ⅱ, where the net flow is given to estimate the priority ranking of the FM. Finally, the proposed approach is elaborated on using a real-world case of a liquid crystal display. Methods comparison and sensitivity analyses are conducted to demonstrate the validity and feasibility of the proposed approach. Full article
(This article belongs to the Special Issue Symmetry in Industrial Engineering)
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28 pages, 3433 KiB  
Article
Research on Control Strategy of Design Change Cross-Module Propagation
by Haibing Ren, Ting Li, Yupeng Li, Yongbo Ni and Jingna Zhang
Symmetry 2022, 14(2), 368; https://doi.org/10.3390/sym14020368 - 12 Feb 2022
Cited by 2 | Viewed by 1268
Abstract
In the process of product design, design changes are unavoidable due to the diversification of customer requirements and the advancement of key technologies. Although modules are supposed to be functionally independent and “low-coupling” in modular products, the design change in a module can [...] Read more.
In the process of product design, design changes are unavoidable due to the diversification of customer requirements and the advancement of key technologies. Although modules are supposed to be functionally independent and “low-coupling” in modular products, the design change in a module can still propagate into other modules due to the interfaces among them, and this propagation increases the product development lead-time and costs. This study aims to solve the problem of cross-module propagation in design change. First, the dependence of modules on interfaces is analyzed from the perspectives of complex network characteristics, change propagation characteristics, and cost dependence, and then the correlation between modules is determined. Second, the cross-module change propagation impact is evaluated considering node importance, change cost, and propagation path length. The control strategies of cross-module design change propagation are proposed from the aspects of increasing the tolerance of interface and reducing the dependence of modules on interface, etc. Finally, a certain type of sanitation vehicle cab is utilized as an example to demonstrate the assessment process of the cross-module propagation impact of design change and to verify the feasibility of the proposed method and control strategies. Full article
(This article belongs to the Special Issue Symmetry in Industrial Engineering)
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17 pages, 4134 KiB  
Article
A Fault Diagnosis Method of Rolling Bearing Based on Wavelet Packet Analysis and Deep Forest
by Xiangong Li, Yuzhi Zhang, Fuqi Wang and Song Sun
Symmetry 2022, 14(2), 267; https://doi.org/10.3390/sym14020267 - 29 Jan 2022
Cited by 9 | Viewed by 1795
Abstract
The frequent accidents caused by the main fan motor in coal mines have exposed the safety hazards of rolling bearings. When a rolling bearing fails, its symmetry is broken, resulting in a rapid decline in its safety performance and posing a great threat [...] Read more.
The frequent accidents caused by the main fan motor in coal mines have exposed the safety hazards of rolling bearings. When a rolling bearing fails, its symmetry is broken, resulting in a rapid decline in its safety performance and posing a great threat to the main fan. Therefore, accurate rolling bearing fault diagnoses are the key to ensuring the safe and durable operation of main fans. Thus, in this paper, we propose a new fault diagnosis method of rolling bearing based on wavelet packet analysis and deep forest algorithm. Firstly, experiments were conducted under different health states to guarantee the diversity of data relating to the rolling bearing’s main fan and then to ensure the accuracy of the fault diagnosis under different health states. On the basis of the collected vibration signal data, we conducted the wavelet packet analysis method to extract the characteristics of the vibration signal and obtained a feature vector that characterizes the health of the bearing. After that, the extracted feature vector was used as the feature vector of the deep forest algorithm to train the deep forest diagnosis model and determine the location and fault type of the bearing fault. Finally, the proposed method in this paper was validated with real-time monitoring data of a main ventilation fan and compared with other diagnostic algorithms, which not only verified the diagnostic capability of deep forest in handling small samples, but also verified the diagnostic capability of the fault diagnosis model. In summary, the proposed fault diagnosis approach is promising in real coal mine main fans. Full article
(This article belongs to the Special Issue Symmetry in Industrial Engineering)
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14 pages, 5527 KiB  
Article
Combined Remaining Life Prediction of Multiple Bearings Based on EEMD-BILSTM
by Yujie Zhan, Song Sun, Xiangong Li and Fuqi Wang
Symmetry 2022, 14(2), 251; https://doi.org/10.3390/sym14020251 - 27 Jan 2022
Cited by 8 | Viewed by 1928
Abstract
To improve the accuracy of a symmetrical structural rolling bearing life prediction under noise interference, a multi-bearing life prediction method combining Ensemble Empirical Mode Decomposition (EEMD) and Bi-directional Long Short-Term Memory (BiLSTM) is proposed. First, EEMD is proposed to decompose the original vibration [...] Read more.
To improve the accuracy of a symmetrical structural rolling bearing life prediction under noise interference, a multi-bearing life prediction method combining Ensemble Empirical Mode Decomposition (EEMD) and Bi-directional Long Short-Term Memory (BiLSTM) is proposed. First, EEMD is proposed to decompose the original vibration signal to obtain a finite number of Intrinsic Mode Function (IMF), and the IMFs are further filtered by combining the correlation criterion and kurtosis criterion. Then, the time domain features and frequency domain features of the reconstructed signal are filtered by monotonicity index to obtain the set of features containing key information. Finally, the BiLSTM network is trained on the filtered features set, and the method is proved to accurately predict the remaining life of rolling bearings under different operating conditions through rolling bearing full-life experiments, and the effectiveness of the method is verified by comparing the prediction results with several main recurrent neural networks. Full article
(This article belongs to the Special Issue Symmetry in Industrial Engineering)
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21 pages, 8990 KiB  
Article
An Integrated Method for Modular Design Based on Auto-Generated Multi-Attribute DSM and Improved Genetic Algorithm
by Shuai Wang, Zhongkai Li, Chao He, Dengzhuo Liu and Guangyu Zou
Symmetry 2022, 14(1), 48; https://doi.org/10.3390/sym14010048 - 31 Dec 2021
Cited by 11 | Viewed by 1904
Abstract
Modular architecture is very conducive to the development, maintenance, and upgrading of electromechanical products. In the initial stage of module division, the design structure matrix (DSM) is a crucial measure to concisely express the component relationship of electromechanical products through the visual symmetrical [...] Read more.
Modular architecture is very conducive to the development, maintenance, and upgrading of electromechanical products. In the initial stage of module division, the design structure matrix (DSM) is a crucial measure to concisely express the component relationship of electromechanical products through the visual symmetrical structure. However, product structure modeling, as a very important activity, was mostly carried out manually by engineers relying on experience in previous studies, which was inefficient and difficult to ensure the consistency of the model. To overcome these problems, an integrated method for modular design based on auto-generated multi-attribute DSM and improved genetic algorithm (GA) is presented. First, the product information extraction algorithm is designed based on the automatic programming structure provided by commercial CAD software, to obtain the assembly, degrees of freedom, and material information needed for modeling. Secondly, based on the evaluation criteria of product component correlation strength, the structural correlation DSM and material correlation DSM of components are established, respectively, and the comprehensive correlation DSM of products is obtained through weighting processing. Finally, the improved GA and the modularity evaluation index Q are used to complete the product module division and obtain the optimal modular granularity. Based on a model in published literature and a bicycle model, comparative studies are carried out to verify the effectiveness and practicality of the proposed method. Full article
(This article belongs to the Special Issue Symmetry in Industrial Engineering)
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15 pages, 4351 KiB  
Article
Optimal Placement of Distributed Photovoltaic Systems and Electric Vehicle Charging Stations Using Metaheuristic Optimization Techniques
by Kulsomsup Yenchamchalit, Yuttana Kongjeen, Prakasit Prabpal and Krischonme Bhumkittipich
Symmetry 2021, 13(12), 2378; https://doi.org/10.3390/sym13122378 - 09 Dec 2021
Cited by 12 | Viewed by 2446
Abstract
In this study, the concept of symmetry is introduced by finding the optimal state of a power system. An electric vehicle type load is present, where the supply stores’ electrical energy causes an imbalance in the system. The optimal conditions are related by [...] Read more.
In this study, the concept of symmetry is introduced by finding the optimal state of a power system. An electric vehicle type load is present, where the supply stores’ electrical energy causes an imbalance in the system. The optimal conditions are related by adjusting the voltage of the bus location. The key variables are the load voltage deviation (LVD), the variation of the load and the power, and the sizing of the distributed photovoltaic (DPV), which are added to the system for power stability. Here, a method to optimize the fast-charging stations (FCSs) and DPV is presented using an optimization technique comparison. The system tests the distribution line according to the bus grouping in the IEEE 33 bus system. This research presents a hypothesis to solve the problem of the voltage level in the system using metaheuristic algorithms: the cuckoo search algorithm (CSA), genetic algorithm (GA), and simulated annealing algorithm (SAA) are used to determine the optimal position for DPV deployment in the grid with the FCSs. The LVD, computation time, and total power loss for each iteration are compared. The voltage dependence power flow is applied using the backward/forward sweep method (BFS). The LVD is applied to define the objective function of the optimization techniques. The simulation results show that the SAA showed the lowest mean computation time, followed by the GA and the CSA. A possible location of the DPV is bus no. 6 for FCSs with high penetration levels, and the best FCS locations can be found with the GA, with the best percentage of best hit counter on buses no. 2, 3, 13, 14, 28, 15, and 27. Therefore, FCSs can be managed and handled in optimal conditions, and this work supports future FCS expansion. Full article
(This article belongs to the Special Issue Symmetry in Industrial Engineering)
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