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A Review on the Theoretical Research and Application of Lean Six Sigma HE Zhen, HU Hao, LIU Hailong, WANG Wei Industrial Engineering Journal    2021, 24 (5): 1-8,54.   DOI: 10.3969/j.issn.1007-7375.2021.05.001 Abstract （2676）   HTML （447）    PDF（pc） （878KB）（8438）       Knowledge map    As a powerful tool for continuous improvement and innovation, Lean Six Sigma (LSS) has been widely used in industries including manufacturing, construction, service and even non-profit organizations. But there are some discrepancies about the understanding of LSS for both academicians and practitioners. To have a sound understanding of LSS, based on the reviews of 2701 papers from Web of Science with “Six Sigma” or “Lean Six Sigma” in titles, the evolution of LSS and a big picture about LSS research and application are presented. Six main research topics are discussed. The development trend of LSS from the perspectives of strategy, system and integration are predicted so as to provide some guidance and references for future LSS academic research and application. Reference | Related Articles | Metrics

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The Status Quo, Hotspots and Development Trends of Intelligent Scheduling at Home and Abroad —Visualization Contrast Research Based on CiteSpace WANG Ting, WEI Shaopeng, LIAO Bin, ZHOU Tong Industrial Engineering Journal    2020, 23 (2): 105-115.   DOI: 10.3969/j.issn.1007-7375.2020.02.014 Abstract （2453）   HTML （136）    PDF（pc） （1043KB）（7591）       Knowledge map    As an important enabling tool of intelligent manufacturing, intelligent scheduling has been paid more and more attention. In order to intuitively show the current situation and hot spots of intelligent scheduling research at home and abroad and put forward the development trend in the future, the relevant literature of 2009—2019 in CNKI and web of science is taken as the research object, and CiteSpace software is used to draw the knowledge map of journals, keywords and emergent words respectively. Through a comparative study, the results show that “active scheduling and dynamic scheduling”, “distributed collaborative scheduling”, “real time production schedling based on the industrial internet of things” and “new group intelligent optimization algorithm” are the future development trends in the field of intelligent scheduling. Reference | Related Articles | Metrics

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Production and Operation Management for Intelligent Manufacturing: Challenges, Scientific Issues, Key Research, and Latest Development JIANG Zhibin, ZHOU Liping Industrial Engineering Journal    2024, 27 (1): 1-9.   DOI: 10.3969/j.issn.1007-7375.230254 Abstract （1239）   HTML （391）    PDF（pc） （672KB）（1270）       Knowledge map    This paper briefly introduces management characteristics of interconnection, integration, services, customization, and time-varying in intelligent manufacturing. The challenges these characteristics pose to production and operation management is analyzed, including multi-dimensional integration for digital supply networks, flexible and networked production, self-organizing optimization of manufacturing resources, decentralized autonomous decision-making and collaborative control, learning operation management, powerful self optimization and adaptability, forward-looking decision-making, etc. Subsequently, three aspects are identified as scientific issues that need to be addressed: value creation mechanism, resource organization and reconfiguration mechanism, and production planning and scheduling systems. Additionally, four key research directions are proposed: integration mechanism, resource reconfiguration methods, production planning and scheduling methods, and logistics operation and management methods. Finally, this paper highlights latest development in intelligent manufacturing production and operation management, providing new ideas for production management theories and practice. Reference | Related Articles | Metrics

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A Review of Data-driven Inventory Management Based on Demand Uncertainty SHAO Siqi, ZHONG Yuanguang, CHEN Zhi, LI Yanxi Industrial Engineering Journal    2024, 27 (3): 1-11.   DOI: 10.3969/j.issn.1007-7375.230259 Abstract （270）   HTML （40）    PDF（pc） （1318KB）（559）       Knowledge map    In recent years, with the increasing abundance of high-quality data, continuous development of machine learning techniques and significant improvements of computational capabilities, data-driven inventory management is experiencing unprecedented development opportunities. However, comprehensive and systematic reviews of research advances in this emerging field are currently lacking. In this study, an in-depth analysis of 183 academic papers is conducted using bibliometrics, and the state of the art in this field is visualized through scientific knowledge graphs. Then, the research results of data-driven inventory management from the perspectives of big data and operation management are summarized and synthesized in three aspects: demand information, basic models and basic methods. Essentially, this paper introduces four inventory management models from the perspectives of demand uncertainty and feature data: univariate data-driven newsvendor model, univariate data-driven dynamic inventory model, multi-feature data-driven newsvendor model and multi-feature data-driven dynamic inventory model. On this basis, six main data-driven decision-making methods are summarized: Bayesian analysis, robust optimization, sample average approximation, quantile regression, operation statistics and machine learning. Finally, future research directions and suggestions are discussed from the perspectives of methodologies, tools, challenges, and application hotspots in data-driven inventory management, aiming to provide valuable references and insights for researchers and practitioners in the relevant fields, and to foster the continuous development of data-driven inventory management. Reference | Related Articles | Metrics

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Innovative Applications of Industrial Engineering Theory and Methods in Healthcare Management: A Review in the Data and Intelligence Era LUO Li, LIAO Huchang, XIANG Jie, FANG Yuanchen Industrial Engineering Journal    2024, 27 (1): 10-24.   DOI: 10.3969/j.issn.1007-7375.240007 Abstract （1300）   HTML （245）    PDF（pc） （953KB）（828）       Knowledge map    The application of industrial engineering theory and methods in healthcare management runs through various aspects, including hospital facility planning, medical process optimization, medical resource management and disease diagnosis, providing strong support for the improvement of medical services and efficiency. With the development of new generation information technologies such as the internet of things, cloud computing, big data and artificial intelligence, the application of industrial engineering theory and methods in healthcare management has undergone significant transformations. Based on four hot topics of literature from 2014 to 2023 in the field of healthcare management, i.e., full life cycle health management, medical resource scheduling and optimization, hospital operation management, and medical logistics and supply chain management, this paper reviews the application of key industrial engineering technologies in these topics. Then, we summarize and analyze the innovation of new generation information technology application in the field of healthcare management, clarifying the technical and management empowerment of industrial engineering theory and methods in this field and the era of data and intelligence. Finally, we envision the application prospects of industrial engineering theory and methods in the informationization, refinement and intelligence of healthcare management in this new era. Reference | Related Articles | Metrics

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An Improved Weighted BN-CREAM Model for Human Reliability Analysis MA Yanhui, ZUO Kaiying, WANG Ying, WANG Zhiqiong Industrial Engineering Journal    2023, 26 (6): 83-92.   DOI: 10.3969/j.issn.1007-7375.2023.06.009 Abstract （477）   HTML （4）    PDF（pc） （1955KB）（854）       Knowledge map    Though there exists many defects in traditional cognitive reliability and error analysis methods (CREAM) , which leads to narrow application, they still have great development potential. This paper proposes a model combining an improved weighted Bayesian network (BN) and CREAM to improve the accuracy of evaluation and expand the application of the method. In this model, the weights of factors in the scenario are obtained first by the Grey-DEMATEL method. Then, the probability distribution of adjusted common performance condition (CPC) factor nodes is obtained by Bayesian network inference. Afterwards the weighted factors are sampled and simulated to obtain the probability distribution of the control mode in the scenario. A case study of 1800 W customized SEED power supply is used to verify the effectiveness and feasibility of the model through analysis of evaluation results and comparison with other methods. The improved model has wider applicability and more objective outputs, which provides a reference for the construction of Human Reliability Analysis (HRA) index systems. Reference | Related Articles | Metrics

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Multi-objective Real-time Optimization Study of Takeaway Vehicle Routes Problem XIONG Hao, GUO Haoying, YAN Huili, CHEN Jinyi Industrial Engineering Journal    2023, 26 (1): 98-107.   DOI: 10.3969/j.issn.1007-7375.2023.01.011 Abstract （1719）   HTML （2307）    PDF（pc） （736KB）（2864）       Knowledge map    With the development of the takeaway industry, the vehicle route problem of takeaway has attracted widespread attention from scholars. However, the existing research does not consider the rider in the objective function and does not consider how to set the weight in the dynamic scene. Therefore, the multi-objective real-time optimization of takeaway delivery routes is studied. Considering the platform, customer and rider in the objective function, a multi-objective takeaway delivery route optimization model is established. A heuristic algorithm for dynamically adjusting the weight of the takeaway delivery route is designed, which solves the problem of setting multi-objective weights in dynamic scenarios. Numerical experiments are carried out on real-time data of takeaway industry. The results show that the algorithm proposed can effectively optimize the real-time route for multi-objective takeaway delivery problems; and the density of orders has a direct impact on rider waiting time and order fulfillment time. Reference | Related Articles | Metrics

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A Review of Trustworthy Machine Learning CHEN Caihua, SHE Chengxi, WANG Qingyang Industrial Engineering Journal    2024, 27 (2): 14-26.   DOI: 10.3969/j.issn.1007-7375.230241 Abstract （468）   HTML （45）    PDF（pc） （937KB）（626）       Knowledge map    Machine learning technology is continuously evolving and is extensively applied across various domains, demonstrating capabilities beyond human abilities. However, improper use of machine learning methods or biased decision-making can harm human interests, especially in sensitive areas with high-security demand such as finance and healthcare, etc., leading to an increasing attention on the trustworthiness of machine learning. Currently, machine learning technology commonly exhibits several drawbacks, such as biases against underrepresented groups, lack of user privacy protection, lack of model interpretability, and vulnerability to threats and attacks. These shortcomings undermine human trust in machine learning methods. Although researchers have conducted targeted studies on these issues, there is a lack of a comprehensive framework and methodology to systematically provide trustworthy analysis of machine learning. Therefore, this paper reviews the current mainstream definitions, indicators, methods, and evaluations of fairness, interpretability, robustness, and privacy in machine learning. Then, the relationships among these elements are discussed, while a trustworthy machine learning framework is established by integrating an entire lifecycle of machine learning. Finally, we present some of the current issues and challenges awaiting resolution in the field of trustworthy machine learning. Reference | Related Articles | Metrics

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A Review on Planning and Control of Connected Autonomous Truck Platooning FU Hui, JIN Chengqian, NIU Zhangzhe, ZENG Weiliang Industrial Engineering Journal    2024, 27 (1): 25-35.   DOI: 10.3969/j.issn.1007-7375.230246 Abstract （1102）   HTML （324）    PDF（pc） （887KB）（743）       Knowledge map    Truck platooning organized by the logistics alliance may become a new form of future logistics transportation for reducing operating cost. The key technologies and related research progress on planning and control of connected autonomous truck (CAT) platooning is analyzed in this paper through literature search. From the perspective of commercial application, the challenges of currently implementing CAT platooning are discussed, also the cost allocation issues among relevant stakeholders are analyzed. From the perspective of technologies, the corresponding fundamentals and methods are interpreted considering planning and control of CAT platooning. By reviewing the existing studies of CAT platooning, the future research interests are concluded. The motivation of this paper is to provide a possible reference for researchers to understand the trends on CAT platooning. Reference | Related Articles | Metrics

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A Review of Research on Shop Scheduling Problem with Flexible Process Sequence GUI Lin, ZHANG Chunjiang, LI Xinyu Industrial Engineering Journal    2020, 23 (2): 116-123.   DOI: 10.3969/j.issn.1007-7375.2020.02.015 Abstract （1073）   HTML （31）    PDF（pc） （527KB）（6218）       Knowledge map    There are various kinds of flexibility in some workshop in the production process, and the flexibility of the process sequence is one of the important ones. By solving the shop scheduling problem with flexible process sequence, the production efficiency can be greatly improved and the cost can be saved. The research status of the shop scheduling problem with flexible process sequence is analyzed, including mixed shop scheduling problem (MSP), group shop scheduling problem (GSP) and partial shop scheduling problem (PSP). Finally, the development prospects and direction of the shop scheduling problem with flexible process sequence are pointed out. Reference | Related Articles | Metrics

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Research of Environmental and Psychological Factors on Chinese Residents Buying Behavior of New Energy Vehicle: Focus on Tianjin LI Zhi, LIU Ze, ZHANG Lei Industrial Engineering Journal    2021, 24 (1): 104-110.   DOI: 10.3969/j.issn.1007-7375.2021.01.014 Abstract （770）   HTML （41）    PDF（pc） （457KB）（6424）       Knowledge map    Consumer demand for new energy vehicles plays an important role in promoting social progress and improving people's living standards. Taking consumers' purchase behavior of new energy vehicles as research objects, based on questionnaire surveys and statistical analysis, taking Tianjin urban residents as an example, the effects of environmental stimuli and psychological factors on the purchase behavior of new energy vehicles and the relationship between various influencing factors on vehicle purchase intentions were studied. The research results show that the purchase behavior of new energy vehicles is more rational, and consumers pay more attention to the quality, performance, service and comfort of new energy vehicles. The research conclusions provide important reference for the development of relevant policies for the automotive industry of relevant government departments. Reference | Related Articles | Metrics

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Quality-Reliability Coupled Modeling and Evaluation for Smart Phone Assembly Lines LUO Yi, ZHANG Ding, LIU Qiang Industrial Engineering Journal    2024, 27 (4): 19-28.   DOI: 10.3969/j.issn.1007-7375.230056 Abstract （864）   HTML （23）    PDF（pc） （1415KB）（183）       Knowledge map    A laboratory digital twin production line for assembling smart phones is built as a prototype testing platform to study the yield transmission and formation mechanisms of production lines caused by the causal relationship of factors in multiple assembly stages. Focusing on two yield issues in screw locking and dispensing processes, a coupled modeling method integrating product quality and equipment reliability for smartphone assembly processes is proposed with the consideration of causal relationships. A dynamic Bayesian network (DBN) model is developed considering causal factors across multiple assembly stages. Then, root cause tracing and importance evaluation affecting final yield formation are conducted. The feasibility and effectiveness of the proposed approache are tested and verified on the digital twin testing platform for assembling smart phones, providing performance evaluation support for yield loss prevention mechanisms and proactive maintenance decisions on production lines. Reference | Related Articles | Metrics

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A Research on Assembly Line Balancing Based on IE Method——a case study of A company ZHANG Lei, LI Zhongyuan Industrial Engineering Journal    2017, 20 (3): 45-52,74.   DOI: 10.3969/j.issn.1007-7375.e17-4040 Abstract （1945）   HTML    PDF（pc） （1904KB）（8128）       Knowledge map    Assembly line is a common form of production in manufacturing enterprises,and the efficiency of assembly line directly affects the production of the whole production line.The balance rate of production,the balance loss rate and the smoothness index are used as the parameters to evaluate the production balance,and the basic IE method is used to solve the balance problem in the production line.On the basis of the production line balance principle,the production balance index of A 3 assembly line is calculated on the basis of the actual working hours,and IE method used to analyze and improve the assembly line.To prove the IE method is scientific and effective,Flexsim software is used.After improvement,the production line balance rate increases from 67.24% to 93.89%,the smoothness index decreases from 8.69 to 1.26.Thus it can be seen that the effect of improvement is significant. Reference | Related Articles | Metrics

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Consumer's Green Preference, Reference Price Effect and Supply Chain Green Innovation LI Lin, LEI Yalin, HE Jianhong Industrial Engineering Journal    2021, 24 (4): 20-26.   DOI: 10.3969/j.issn.1007-7375.2021.04.003 Abstract （2067）   HTML （16）    PDF（pc） （635KB）（5387）       Knowledge map    The green innovation activities of manufacturers and suppliers in the supply chain are focused on, and the relationship between the characteristics of consumer behaviors and the level of green innovation efforts of members of the supply chain discussed, taking into account the consumer's green preferences on the market demand side and the reference price effect they cause. By constructing a differential game model of supply chain green innovation under the conditions of centralized decision-making, decentralized decision-making and cost sharing, the optimal green innovation effort level and profit of supply chain members under equilibrium conditions are respectively obtained, and the relevant conclusions analyzed through numerical simulation. Studies have shown that changes in consumer preference characteristics are an important factor that motivates supply chain members to make green innovation efforts. With the enhancement of consumer green preference characteristics, the cost-sharing contract has a more obvious Pareto improvement on the profits of supply chain nodes. At the same time, manufacturers can stimulate their green innovation enthusiasm by providing cost subsidies to suppliers, and when the relationship between the supplier’s marginal profit and the manufacturer’s marginal profit reaches a certain threshold, the incentive effect of this green innovation cost subsidy is more significant. Therefore, it is more possible to realize the optimal profit of the supply chain system based on green innovation. Reference | Related Articles | Metrics

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Feature Selection for Aero-Engine Assembly Using Multi-objective Optimization LU Wenhao, KE Yongwei, GUO Yongqiang, SI Shubin Industrial Engineering Journal    2024, 27 (4): 1-8.   DOI: 10.3969/j.issn.1007-7375.240227 Abstract （1197）   HTML （194）    PDF（pc） （798KB）（158）       Knowledge map    Due to the complexity of assembly and testing processes in aero-engine manufacturing, the collected assembly data encompass a large number of assembly features, which seriously interferes with the accurate prediction of assembly quality. Selecting the key quality features of aero-engine assembly to achieve quality prediction becomes a highly challenging task. Therefore, to address this issue, a two-stage feature selection method for aero-engine assembly data based on multi-objective optimization is proposed. Firstly, the optimization objectives of feature selection are defined. In the first stage, the relevant features are selected based on the max relevance and min redundancy (MRMR) algorithm to calculate the mutual information of assembly features and testing indicators. This process filters out the most relevant features related to testing indicators while removing redundant features with interference effects. In the second stage, by introducing a population initialization strategy and adaptive genetic operators, a key quality feature selection process based on the improved non-dominated sorting genetic algorithm-Ⅱ (NSGA-Ⅱ) is proposed to obtain the Pareto front of key quality feature subsets for aero-engine assembly. Finally, experimental results demonstrate that the proposed two-stage feature selection method has better applicability and effectiveness than traditional methods, which enhances the feature selection performance and improves the accuracy of quality prediction for aero-engine assembly. Reference | Related Articles | Metrics

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An Optimal Pricing Strategy of Omni-channel Supply Chain under BOPS Retail Service ZHANG Zijian, LIU Xiaoqiao Industrial Engineering Journal    2023, 26 (4): 1-8.   DOI: 10.3969/j.issn.1007-7375.2023.04.001 Abstract （1042）   HTML （31）    PDF（pc） （877KB）（1997）       Knowledge map    This paper investigates the interaction between manufacturers and retailers (online and offline) in terms of different pricing and service value strategies with the implementation of the "buy-online, pick-up-in-store" (BOPS) omnichannel mode. Using a modified Hotelling model to obtain the market demand function, a manufacturer-driven Stackelberg supply chain model is established to analyze the equilibrium prices and service values of four strategies: centralized dual-channel, centralized omni-channel, decentralized dual-channel and decentralized omni-channel strategies. The four strategies are compared using a numerical simulation. Results show that the retailer's service value has a positive impact on the pricing of supply chain members; the BOPS omni-channel pricing strategy is significantly superior to the dual-channel pricing strategy, and the advantage of the omni-channel strategy is more obvious in a centralized supply chain than that in a decentralized supply chain. Furthermore, the sensitivity analysis shows that the overall supply chain revenue increases with the increase of the market size expansion factor of the BOPS channel; the optimal pricing strategy is a centralized omni-channel strategy. Reference | Related Articles | Metrics

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Emergency Evacuation Model and Simulation Analysis of Urban Metro Passenger Flow Based on Emergency Events XIONG Guoqiang, LEI Jiaye Industrial Engineering Journal    2020, 23 (3): 99-106.   DOI: 10.3969/j.issn.1007-7375.2020.03.013 Abstract （1537）   HTML （24）    PDF（pc） （1040KB）（6456）       Knowledge map    The emergency evacuation of metro station passenger flow is studied in the perspective of combination modeling in the event of emergencies. Firstly, the influencing factors of passenger flow outburst and its evacuation is analyzed. A cellular automata theory-based combined model on emergency evacuation of subway passenger volume is constructed, including optimal route choice model, pedestrian movement model, obstacle avoidance model, lane change and transcendence models, etc. Following an empirical research on the Qinglongsi Subway Station in Xi'an, the AnyLogic simulation platform is adopted to simulate and analyze the emergency evacuation process of passenger flow. The result indicates that the channel located between the platform floor and the underground hall will be crowded if the exit and path information cannot be obtained timely and completely as the pedestrian flow intensity is relatively large under the emergency evacuation process. However, the crowds could be evacuated effectively with the real-time release of evacuation information and under the guidance of the order of the flow and its walking path. Reference | Related Articles | Metrics

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Study on Working Improvement of Coal Mine Workers Under the Influence of Physical Mental Fatigue Interaction WANG Xinping, CHANG Taotao, SUN Linhui Industrial Engineering Journal    2020, 23 (4): 148-153,182.   DOI: 10.3969/j.issn.1007-7375.2020.04.019 Abstract （906）   HTML （20）    PDF（pc） （773KB）（5964）       Knowledge map    The subjective fatigue evaluation method was used to investigate and study the physical fatigue and mental fatigue of coal mining workers in a mining company of Shaanxi, and to know the work content and rest time of workers. Through data analysis with SPSS software, obtain the fatigue value of coal miners, and analyzes the cause of fatigue, put forward corresponding suggestions and solution based on the actual situation. The results show that the physical fatigue of coal miners mainly occurs in the waist, shoulders, forearms and hind legs, noise fatigue and visual fatigue is the main factors that affect workers' mental fatigue. Therefore, it is recommended to optimize the operation of miners to maximize the working environment of workers and optimize the production process and management system. The purpose is to reduce the physical and mental fatigue of coal miners, prevent human error and improve the safety of the production process. Reference | Related Articles | Metrics

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The Review Characteristics of Expert and Anti-assessment Research ZHANG Yao, LIN Chun Industrial Engineering Journal    2020, 23 (6): 124-130,154.   DOI: 10.3969/j.issn.1007-7375.2020.06.017 Abstract （823）   HTML （12）    PDF（pc） （740KB）（5785）       Knowledge map    The high quality of expert database guarantees project reviews to be fair and just. Supervision and evaluation of experts review quality will benefit building high quality of expert database. Firstly whole network analysis method is used to estimate experts' power within the academic community to reflect their academic level. Secondly Pearson similarity analysis method is used to measure consistency in projects' score and project evaluation index score of experts reflect their credibility of expert. Thirdly through analyzing hit rate of project's support and no support, review professional level of experts is discussed. Finally TOPSIS evaluation method is used to evaluate review expert and verify the theoretical and application value of the research. Reference | Related Articles | Metrics

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A Research on Road Capacity Optimization Based on Improved Network Maximum Flow LIAO Ye, WANG Shunyi Industrial Engineering Journal    2020, 23 (5): 96-102.   DOI: 10.3969/j.issn.1007-7375.2020.05.013 Abstract （1058）   HTML （27）    PDF（pc） （561KB）（6000）       Knowledge map    A mathematical model of improved network maximum flow is established to study campus road planning in the research background of a domestic university. Firstly, according to the basic network maximum flow model, Ford-Fulkerson algorithm is used to solve the theoretical maximum capacity of 46 person/s. Secondly, considering the road selectivity, the shortest path model is established. Dijkstra algorithm is used to calculate the shortest path from each single source to each single sink, and A* algorithm is used to exclude the path with a large difference from the shortest distance, so as to screen out the effective path. Using the results of the shortest path model to strengthen the constraints in the original model, the simple method is used to solve the actual maximum capacity of 23 person/s. Finally, a linear programming model with the lowest cost of road widening as the objective function is established to optimize the road. The results show that the existing road design can meet the road traffic demand. If the road capacity needs to be improved and the change of the road is minimum, the key roads in the road network can be expanded appropriately. Reference | Related Articles | Metrics