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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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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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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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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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An Improved Grey Wolf Optimization for Solving Scheduling Problem of Flexible Job Shop with AGV XU Yifan, ZHANG Liping, TANG Qiuhua, HUANG Yuchen Industrial Engineering Journal    2021, 24 (6): 25-33.   DOI: 10.3969/j.issn.1007-7375.2021.06.004 Abstract （1209）   HTML （39）    PDF（pc） （871KB）（5460）       Knowledge map    With the continuous development of automation technology and workshop intelligent technology, the integration of material equipment planning and production scheduling is getting higher and higher. Aiming at the problem of flexible job shop scheduling with AGV (automated guided vehicle), with the goal of minimizing completion time, considering the effective load time and empty time of the AGV between the loading station, machine and unloading station, a mathematical programming model is con-structed. Secondly, an effective gray wolf algorithm is proposed to solve the problem. Based on the characteristics of the problem, a three-segment code for machine selection, process sequencing and AGV handling is designed to effectively ensure that each individual can produce a feasible solution. The setting methods of key parameters a and E are improved, which effectively balances the exploration ability and local search ability of the algorithm; in order to further improve the algorithm's ability to jump out of the local optimal solution, the algorithm incorporates domain search and other methods. Finally, the case test results show that the improved gray wolf algorithm has superior performance in solving the scheduling problem of flexible job shop with AGV. Reference | Related Articles | Metrics

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Obstacle Avoidence Path Planning for Robot Arm Based on Mixed Algorithm of Artificial Potential Field Method and RRT HE Zhaochu, HE Yuanlie, ZENG Bi Industrial Engineering Journal    2017, 20 (2): 56-63.   DOI: 10.3969/j.issn.1007-7375.e17-2002 Abstract （2850）   HTML    PDF（pc） （1047KB）（8819）       Knowledge map    To solve the problem of artificial potential field algorithm being liable to fall into local minimum in the obstacle avoidance path planning of industrial robot arm, a combination of artificial potential field and improved Rapidly-exploring Random Tree (RRT) algorithm is applied. Firstly, artificial potential field algorithm is used in local obstacle avoidance path planning. When falling into local minimum, the improved RRT algorithm can adaptively select the temporary target point and make the search process jump out of the local minimum point. In addition, artificial potential field algorithm will be applied when the robot arm leaves the local minimum. This method not only achieves obstacle avoidance on the end effector of the robot arm, but also prevents the collision between the rod and the obstacle, eventually bringing the end effector to the target point. The simulation experiments show that the proposed method is simple and can adapt to the change of environment and is still effective in complex environment.The algorithm can satisfy the requirement of the obstacle avoidance of the robot arm. Finally, the experimental results show the consistency between the actual and the simulation results. 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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A Research on Task Scheduling and Path Planning of Mobile Robot in Warehouse Logistics Based on Improved A * algorithm WANG Xiuhong, LIU Xuehao, WANG Yongcheng Industrial Engineering Journal    2019, 22 (6): 34-39.   DOI: 10.3969/j.issn.1007-7375.2019.06.005 Abstract （1269）   HTML （53）    PDF（pc） （669KB）（6520）       Knowledge map    In executing the order task of the mobile robot in the warehouse logistics, the dispatching system is difficult to perform task assignment quickly and accurately, and the handling route is not the shortest optimal route. According to the mobile robot's movement mode and the requirement of order task, a reconfigurable warehouse space model and a grid map model are constructed, solving the shortest completion time allocation problem of order task by establishing a mathematical model, and improving the insufficiency of three common distance algorithms in traditional A * algorithm, and a complex diagonal distance algorithm is proposed for path planning simulation. The simulation results show that the above method achieves the task assignment with the shortest task completion time, which reduces the number of path planning search nodes by 30% and the path length by 20%. Reference | Related Articles | Metrics

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An Improved FMEA Risk Assessment Method Based on Comprehensive Empowerment ZHAO Yixiang, LIAO Feifei, WANG Han Industrial Engineering Journal    2021, 24 (3): 83-88.   DOI: 10.3969/j.issn.1007-7375.2021.03.011 Abstract （994）   HTML （9）    PDF（pc） （589KB）（6124）       Knowledge map    With respect to the problems that the traditional failure mode and effects analysis (FMEA) method does not consider the risk factor weight and the risk factor weight is difficult to determine, a comprehensive weighted improved FMEA risk assessment method was proposed. FMEA team evaluated the object and FMEA range, listed all potential failure modes, scored the failure mode, and obtained all expert scoring evaluation tables. The linguistic variables which could be transformed into intuitionistic fuzzy numbers were used to represent evaluation information of failure modes. The IFHW operator, which combined the subjective weight determined by the AHP method and the objective weight determined by the data itself, was used to aggregate the evaluation information to obtain the score function of all failure modes. The final ranking of all failure modes were selected based on the risk maximization principle. The feasibility of the proposed method was verified by FMEA analysis of the electrospinning equipment and comparison with other methods. Reference | Related Articles | Metrics

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An Optimization of Workers in Mixed Assembly Line Considering Efficiency Differences and Distribution in Different Station HU Mingmao, QI Ershi, ZHAO Kai, ZHANG Hongyi Industrial Engineering Journal    2019, 22 (3): 9-18.   DOI: 10.3969/j.issn.1007-7375.2019.03.002 Abstract （902）   HTML    PDF（pc） （742KB）（6505）       Knowledge map    The optimal workers scheduling of assembly line considering the differences in worker assembly levels and the flow distribution between different workstations was analyzed. After determining the sort of mixed flow assembly line, the assembly worker worked in the workstation where she/he was good at and took part in the assembly work of other stations after completing the work in this workstation. An optimized mathematical model of mixed-flow assembly line workers considering the difference in workstation efficiency and flow distribution was established after the definition of the relevant optimization factor variables and constraints. The peak sharpening algorithm and multiple population migration algorithm were adopted for the adjustment of the workers and balance optimization, and then a three-layer neural network to evaluate peak cutting the location choice was used to obtain the optimal allocation of workers. Finally, an example was given to verify the listed model with Matlab, and two assembly workers were reduced and the assembly line balance rate was increased. 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 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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Comprehensive Economy of Quality Evaluation Model Using Extended VIKOR Approach for Automobile Products ZHOU Fuli, DAI Ying, WANG Xu, ZHANG Shengnan Industrial Engineering Journal    2018, 21 (4): 51-61.   DOI: 10.3969/j.issn.1007-7375.2018.04.007 Abstract （861）   HTML    PDF（pc） （725KB）（6452）       Knowledge map    Faced with the difficulty of automobile quality and chaotic rankings of vehicles, a comprehensive evaluation model on economy of quality of automobile using extended VIKOR is developed to assist car consumers in decision-making of purchasing. The economy of quality indexes including product quality, after-sales quality and total ownership cost are addressed. Due to multiple sources of evaluation information and uncertainty of certain indexes, the mixed types of indexes including crisp value, interval number and linguistic variables are introduced to the evaluation framework. The rough set-based attribute reduction technique is employed to delete the redundant criteria, which facilitates key indexes establishment. According to the European distance analysis for mixed indexes, the anti-entropy-based technique is used to obtain criteria weights, and the best vehicle alternative is recommended with the minimum group utility value. The case study verifies that the proposed method contributes to intelligent recommendation for vehicle consumers. A comparative analysis indicates that car users tend to select cheaper vehicles without considering operation cost. However, when taking the total ownership cost into account, they prefer to choose vehicles with top priority concerning economy of quality rather than cheap ones, which caters to practical scenarios. Reference | Related Articles | Metrics

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A Research on Retailer's Dual Channel Ordering Strategy Under Demand Updating LI Qiang, WANG Chuanxu Industrial Engineering Journal    2017, 20 (5): 15-20.   DOI: 10.3969/j.issn.1007-7375.e17-4078 Abstract （850）   HTML    PDF（pc） （920KB）（6250）       Knowledge map    In the quick response system, retailers are required to meet maximized market demand. With retailers in two order modes, online and offline ordering are analyzed, assuming offline order can be delivered immediately. A profit model is established respectively in the two ways. An analysis is conducted into the double channel order mode in which retailers can meet and maximize the market demand but will reduce their own profits, and the model is updated through the demand analysis to study the single channel and double channel order model selection problem to realize the maximization of the profits of retailers. Finally, a numerical example is given to demonstrate the validity of the proposed models. Reference | Related Articles | Metrics

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A Research on Take-away Delivery Task Selection in Crowdsourcing DAI Tao, SHEN Jing Industrial Engineering Journal    2021, 24 (2): 125-133.   DOI: 10.3969/j.issn.1007-7375.2021.02.016 Abstract （1218）   HTML （18）    PDF（pc） （986KB）（6037）       Knowledge map    Nearly all the take-away platforms provide opportunities of part-time delivery service. Compared with full-time staff, part-time deliverers have several features when they participate in crowdsourcing delivery, including "multiple delivery path, limited working time, fixed destination and etc". Considering these characters, a research is made on take-away distribution task selection and task routing problem in crowdsourcing mode and a two-layer algorithm is proposed in order to enhance deliverers' efficiency and raise their revenue. A delivery routing problem model is built in the bottom layer, and solved with improved genetic algorithm. The upper layer adopts greedy algorithm and compares delivery revenue according to the model in the bottom layer to select tasks, so that the crowdsourcing workers' revenue can reach the largest level. A numerical case is given to test and verify the effectiveness of model and algorithm, the solving time increases linearly with the number of potential orders. In practice, this method can achieve a relatively high-quality solution in an acceptable time when the scale of alternate orders has been controlled. 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

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A Study of Adaptability of Different Statistical Methods for Stability Assessment of Complex Industrial Data TANG Jun, ZHOU Bing, WEN Liliang, CHEN Aiming, HE Banghua, TANG Li, ZENG Zhongda Industrial Engineering Journal    2020, 23 (6): 131-137.   DOI: 10.3969/j.issn.1007-7375.2020.06.018 Abstract （967）   HTML （5）    PDF（pc） （1239KB）（6087）       Knowledge map    Six widely-used methods for stability analysis of simulated data with multi-morphological features and different levels of stability were theoretically compared, and the adaptability for statistical assessment was further studied to suggest optimal selection of these methods, which include range method, variance method, deviation degree method, p-value method, information entropy, and CV method. After summarizing the five different cases of multi-morphological data, an integrated strategy was proposed to simulate the variation of these data and then strictly evaluate the objectivity of these methods used for stability analysis. It shows that the range method, deviation degree method and p-value method are not suitable for the stability analysis of industrial production process data with high complexity. In contrast to these three methods, the performance of variance method and information entropy method is improved for the analysis of some types of data. Fortunately, the CV method has high robustness and wide adaptability to all the five cases of multi-morphological industrial data. The analysis of real data obtained from cigarette processing process further validate the results and conclusions introduced above. The results reported in this study provide an efficient way for stability analysis of industrial data with high complexity. Reference | Related Articles | Metrics

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The Influence of Consumer Individual Characteristics and Logistics Service Perception on the Selection of Online Shopping Platform YIN Lijuan, YUAN Lina, LIU Ziyu Industrial Engineering Journal    2018, 21 (3): 49-58.   DOI: 10.3969/j.issn.1007-7375.2018.03.006 Abstract （1044）   HTML    PDF（pc） （492KB）（6265）       Knowledge map    In order to explore the impact of consumers' individual characteristics and logistics service perception on the choice of online shopping platform, a hypothetical model of influencing factors of consumer online shopping platform selection is constructed. Using the one-way ANOVA and multiple regression analysis methods, the original hypothesis is verified from two aspects:individual characteristics and logistics service perception. The results show that the distribution quality, service attitude, economy perception and convenience perception have a positive impact on the choice of consumer online shopping platform. Statistical characteristics, cognitive characteristics, and behavioral characteristics indirectly influence consumers' choice of online shopping platforms by affecting the perception of logistics services. According to the importance of the influencing factors, a differentiated logistics service strategy can be formulated to better serve online shopping consumers. Reference | Related Articles | Metrics

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A Supply Chain Robust Optimization Model under Price- and Time-sensitive Demand SUN Yimeng, QIU Ruozhen, GAO Yanan Industrial Engineering Journal    2021, 24 (6): 93-101.   DOI: 10.3969/j.issn.1007-7375.2021.06.012 Abstract （1319）   HTML （25）    PDF（pc） （629KB）（5707）       Knowledge map    A two-pricing two-ordering policy with time and price sensitive demand is studied under demand uncertainty. The piecewise linear function is used to describe the price- and time-sensitive demand and the interval uncertainty set is constructed to describe demand uncertainty. Two Stackelberg game models are formulated according to whether the manufacturer gives a rebate to the retailer. Robust counterparts for the game models are developed and transformed into tractable programs. Numerical studies show that the uncertainty and price sensitivity of demand have influences on pricing, ordering and profit. The manufacturer and the retailer gain more from the game model with rebate, and the profits of both parties are decreasing in the uncertainty level and the price sensitivity coefficient of demand increase. Reference | Related Articles | Metrics