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30 August 2017, Volume 20 Issue 4 Previous Issue    Next Issue

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A Study of the Classification of Lean Management Tools in Manufacturing Enterprises Based on Fuzzy Clustering Analysis NIU Zhanwen, YANG Fudong, JING Shuwei 2017, 20 (4):  1-10.  doi: 10.3969/j.issn.1007-7375.e17-2041 Abstract ( 856 )   PDF (475KB) ( 5939 )   Save The success rate of lean management in manufacturing enterprises is relatively low. One of the main reasons is that the choice of lean tools is not matched with the lean management implementation stage. Based on the summary and analysis of various lean management tools in domestic and foreign research and practice, the different attributes of different tools are analyzed, and a multi-level evaluation index system established according to their attributes. Through the evaluation of the characteristic attribute of each tool in the lean management implementation, the characteristic matrix of the response is obtained, and then the fuzzy clustering analysis method is used to get the lean management tool set which matches the implementation stage of lean management. At the same time, the principle of using the tool set is discussed according to the similarity degree of the characteristic attribute between the tools. Taking two manufacturing enterprises for example, the implementation steps of the method are described in detail, and the implementation effect is tracked and verified, which provides decision support for the manufacturing enterprises to select the lean management tools in the lean management promotion. References | Related Articles | Metrics

Construction and Test of Measurement Index System of Owner Negative Behavior in Design Phase PAN Pengcheng, LIU Huan, HE Wei 2017, 20 (4):  11-17.  doi: 10.3969/j.issn.1007-7375.e16-4226 Abstract ( 1216 )   PDF (430KB) ( 5923 )   Save The negative behavior of owners is studied in Chinese construction context, aiming at the working situation of the owner and the architect and the professional characteristics of the architect. An owner negative behavior index system is developed and verified, by using the methods of literature research, depth interviews, expert consultation, statistical analysis and so on. The results show that the owner's negative behavior index system can be divided into four dimensions:pressure type communication, deviation from the norm, labor contempt and layman guidance. And the index system has good reliability and validity, which can be used to measure the negative behavior of the owners. References | Related Articles | Metrics

Model and Algorithm of Vehicle Routing Problem for Urban Logistics in Time-Dependent Network LIU Lanfen, YANG Xinfeng 2017, 20 (4):  18-24.  doi: 10.3969/j.issn.1007-7375.e17-4077 Abstract ( 1121 )   PDF (484KB) ( 6078 )   Save The required travel time in a path may differ from time to time in city delivery. The actual characteristics of vehicle routing can be better described in time-dependent network. It is of more practical significance to solve the problem of urban logistics vehicle routing optimization in time-dependent condition. On the basis of analyzing the vehicle travel time in time-dependent network, both sides of customers and logistics company requirements are considered and a multi-objective vehicle scheduling model in time-dependent network is formulated to minimize total delivery time and the number of vehicles and maximize the customer satisfaction. Then a genetic algorithm is designed to solve the model, upon an analysis by using an example. The simulation results show that the model is feasible and the algorithm effective in urban logistics vehicle scheduling. References | Related Articles | Metrics

Synchronous Optimization of Transit Network and Frequency for Small and Medium-sized Cities LUO Xiaoling, JIANG Yangsheng 2017, 20 (4):  25-30.  doi: 10.3969/j.issn.1007-7375.e17-2022 Abstract ( 1047 )   PDF (355KB) ( 6005 )   Save Considering that the existing model doesn't take into account the transit network and frequency synchronous optimization and that optimization algorithm is inefficient, a mixed integer programming model is designed to optimize transit network and corresponding frequency with the aim of minimizing travel time. To increase the efficiency of the algorithm, the structure of public transportation network is evaluated based on setting the lower bound of transfer. If the transfer ratio is greater than the set lower bound, the frequency and objective function will not be calculated, which can reduce the computation caused by unfeasible solutions. A case is tested by the proposed model and algorithm, showing that the method can obtain the transit network and frequency simultaneously. Finally, the influence on computation time and optimization results are analyzed by different values of lower bound. The results show that the optimization results are the same and more than 40% of the computation time can be saved at most with the lower bound ranging from 1 to 0.4. However, when the lower bound is less than 0.4, the optimized solution by this algorithm is not optimal, which suggests that setting reasonable values for lower bound for the proposed method can save the computation time significantly with reliable solution, when the model and algorithm are applied to design transit network. References | Related Articles | Metrics

The Delivery Vehicle Scheduling Considering Agents' Perception Satisfaction toward Waiting Time HUANG Yiping, YANG Qin, LI Qing, ZHANG Wei 2017, 20 (4):  31-36,48.  doi: 10.3969/j.issn.1007-7375.e16-3301 Abstract ( 1122 )   PDF (908KB) ( 6114 )   Save To enhance customer satisfaction and reduce transportation costs, a scientific and reasonable express vehicle scheduling scheme is formulated. Taking the customer as behavior subject, and firstly, combining realistic situation and cognitive psychology, the customer's perception of waiting time is analyzed. Customer waiting time perception satisfaction function is built by incorporating the fuzzy theory into the prospect theory; secondly, the problem can be described by a triplet method α/β/γ, and perception satisfaction can be obtained with maximizing average customer waiting time and minimizing the transportation mileage of the express vehicle. Then, Plant Growth Simulation Algorithm (PGSA) is designed to solve this scheduling model. Finally, combined with the actual data, the MATLAB software is used to solve the numerical simulation, and the results show that:comparing with Saving Algorithm, PGSA achieved the value of the objective function by an increase of 0.287 6, and that the effectiveness of the algorithm is verified, and that specifically, the balanced optimization of the interests of customers and logistics enterprises is realized. References | Related Articles | Metrics

Production Logistics Synchronization Optimization Through ATO Pulling in Industrial Park WU Qiang, QU Ting, YAN Zhijun, ZHANG Ting, HUANG Guoquan 2017, 20 (4):  37-48.  doi: 10.3969/j.issn.1007-7375.e17-2023 Abstract ( 1751 )   PDF (1884KB) ( 6307 )   Save To address problems induced by the assembly to order (ATO) production in industrial park, e.g. production logistics information synchronization and high operation cost, the "three-stage two-degree" production logistics synchronization (PLS) control mechanism was proposed based on Internet of Thing. Using simulation analysis of the cooperative optimization algorithm, it showed that 1) the earlier is the order dynamic, the more obvious is the benefit of synchronization control; 2) that the synchronization control across enterprises in industrial park can effectively help reduce logistics costs; and 3) that the later the dynamic happens and the bigger is the demand order, the more difficult the synchronization control will be, but its economic benefits will be better relative to un-synchronization. References | Related Articles | Metrics

A Method of Surgical Scheduling:Improving the Satisfaction of Doctors and Patients while Cutting Operation Costs HAO Zhigang 2017, 20 (4):  49-56,71.  doi: 10.3969/j.issn.1007-7375.e17-3054 Abstract ( 1341 )   PDF (1354KB) ( 6030 )   Save Considering that the issue of surgical scheduling involves many stakeholders, and taking the related resource constraints into account, a mathematical model of solving surgical scheduling problem is proposed. It aims to enhance the satisfaction of doctors, patients and the hospital by finding the right number of opening operation rooms to reduce hospital operating costs and the best operation order to reduce waiting time and overtime. According to the characteristics of the issue, an improved non-dominated sorting genetic algorithm Ⅲ is proposed based on improved crowded distance calculating operator. The algorithm also proposes population chromosome unique policy to improve the diversity of the population, using GD and HVR metrics to test the performance of the algorithm, which in turn enhances the algorithm's searching performance. Finally, simulation result based on a third class hospital shows the effectiveness and feasibility of the proposed model. References | Related Articles | Metrics

A Critical Chain Project Duration Risk Evaluation Based on Grey Clustering Method LI Kang, XU Haiyan, CHEN Hao 2017, 20 (4):  57-64.  doi: 10.3969/j.issn.1007-7375.e17-3091 Abstract ( 849 )   PDF (467KB) ( 5944 )   Save Duration uncertainty, resource conflict and other issues make project schedule management more complex. In order to effectively identify the duration risk, based on the gray critical chain method, the consistency index is used to make a gray estimation of the duration and the uncertainty factors such as resource stress, process complexity, work flexibility, risk preference and environmental uncertainty are fully considered. Then the duration risk evaluation is carried out by using the clustering coefficient determined based on the gray clustering evaluation model of the triangular whitening weight function. Finally, it is applied into a practical case to identify the processes with high duration risk and reduce the delay risk to prove the effectiveness and practicability of proposed method. References | Related Articles | Metrics

Evaluating Energy Consumption Dynamics of Sanitary Ceramics Process Chain Based on Hybrid Petri-net YANG Bixia, YANG Haidong, LI Hongcheng 2017, 20 (4):  65-71.  doi: 10.3969/j.issn.1007-7375.e16-3321 Abstract ( 748 )   PDF (2127KB) ( 6058 )   Save In order to reveal energy flow dynamics of sanitary ceramic unit processes and whole production chain, a hybrid Petri net-based model is established through analyzing respectively the energy consumption mechanism of sanitary ceramics discrete flow and continuous flow processes. For evaluating the energy consumption performance and further reducing its energy intensity of production chain, an evaluation method is proposed based on specific energy indicators. Finally, using the data from the energy management system, the proposed model and method are validated through simulation experiments. The results show that the proposed hybrid Petri net-based model can, from unit processes to whole production chain, clearly reflect the driving mechanism and process characteristics of energy flow. The optimal specific energy of production chain is 4.411 9 MJ/kg when productivity of 8 t ball mill, 40 t ball mill, injection molding, glazing, and firing are 0.478 t/h, 2.353 t/h, 2.638 5 t/h, 2.651 9 t/h, and 2.62 t/h, respectively. Thus, speed matching between unit processes has great influence on the energy consumption performance of process chain. References | Related Articles | Metrics

A Study of Quality Improvement of Intake Manifold Based on DMAIC Method ZHOU Nannan, WEI Jian, WU Xiaofeng, YU Qin, YING Yongqiong 2017, 20 (4):  72-78.  doi: 10.3969/j.issn.1007-7375.e17-2064 Abstract ( 734 )   PDF (440KB) ( 6100 )   Save Upon a research in the enterprise, an understanding is reached that the auto parts company produced by the intake manifold did not come up to the six sigma standard. Combining the company's current situation with the current management model, it is decided to import the DMAIC(define-measure-analyze-improve-control) method of six sigma during the company's intake manifold production quality improvement process. The product currently below the six sigma standard should be defined, measured and analyzed. And then programs of quality improvement are put forward, and through hot-charging experiments the effectiveness of the programs is verified. Finally the control method of assembly quality is put forward. In this process the seven QC practices, foolproof design, statistical questionnaire, FMEA and some other quality management methods are used in problem assumptions, analysis and verification. References | Related Articles | Metrics

An Optimization Model for Two-Dimensional Warranty Policy of Equipment under Preventive Maintenance CHENG Zhonghua, YANG Zhiyuan, YANG Hongbing 2017, 20 (4):  79-86,100.  doi: 10.3969/j.issn.1007-7375.e15-0555 Abstract ( 959 )   PDF (5375KB) ( 6229 )   Save Warranty is the primary coverage of equipment after-sale service, and reasonable warranty servicing strategy has significant impact on manufacturer's warranty cost and the product availability. A two-dimensional warranty cost and availability model is developed under preventive maintenance and the solving process proposed, where the function of failure rate is given by accelerated failure time (AFT) model. By modeling the warranty cost and product availability, the optimum warranty servicing strategy is derived to minimize the cost-effect ratio. Then, regression analysis with optimal cost-effect under different warranty regions is used to derive the flexibility warranty servicing strategy. Finally, a numerical illustration is given to examine the validity of the model. References | Related Articles | Metrics

A Cooperative Game Analysis of Supply Chain Based the Carbon Tax SHAN Erfang, WANG Yan 2017, 20 (4):  87-93.  doi: 10.3969/j.issn.1007-7375.e17-4017 Abstract ( 1123 )   PDF (685KB) ( 5924 )   Save Adopting the thoughts of cooperative games, the two-echelon supply chain that includes the single manufacturer and the single retailer is studied by establishing the manufacturer's unilateral decision model and collaborative decision-making model between manufacturers and retailers to find the balance point that meets government requirements and ensures the collaborative profits. And the method of distributing Shapley value that is classic in cooperative game for supply chain is used to distribute collaborative profits reasonably. It is concluded that collaboration is far greater than the single decision whether from the effect of reducing carbon emissions or from the profits of the manufacturers and retailers. Finally, the feasibility of this model is shown by analyzing an example. References | Related Articles | Metrics

Two-echelon Supply Chain Production and Inventory Decision under Carbon Emission Constraint YI Dongbo, ZHANG Xiong, HU Chao, XIE Dasheng 2017, 20 (4):  94-100.  doi: 10.3969/j.issn.1007-7375.e17-2025 Abstract ( 1007 )   PDF (582KB) ( 6252 )   Save To explore how to make decisions based on different carbon policies to achieve the goal of minimizing the total cost, two-echelon supply chain production and inventory decision is considered under the three carbon policy constraints. Through a detailed study of the models under different carbon policies, it is proved that for the cooperative two-echelon supply chain companies, adopting a reasonable carbon policy can significantly reduce carbon emissions without significantly increasing the total costs. Meanwhile, under the policy of carbon cap-and-trade, the carbon's price is raising which stimulates enterprises to reduce carbon emission. Under the policy of carbon cap, it is found that the lower and upper bounds of E and the carbon emission can be strictly controlled. Also the carbon cap and trade policy can make the production of enterprises more flexible. Finally, these conclusions are verified by numerical experiments. References | Related Articles | Metrics

Airline Supply Chain Competitive Coordination with Strategic Passenger Behavior ZOU Liuxin, LI Hao, TAN Meirong 2017, 20 (4):  101-107,115.  doi: 10.3969/j.issn.1007-7375.e17-2044 Abstract ( 889 )   PDF (996KB) ( 5959 )   Save The intermediary agent, which is replaced by possible direct selling, is only assumed to be a follower in the airline supply chain in previous literature. A study is conducted into the competitive supply chain model of two flights in which the revenue sharing proportion is decided by the intermediary agent in the oversupplied competitive market environment with strategic passengers. A competitive game model of two flights is introduced. The revenue of the airline and intermediary agent and the revenue sharing proportion are obtained. The effectiveness of this supply chain is analyzed. Finally, it is found that this model is favorable for airlines when the passenger's buying preferences are small. This model is found superior to the direct selling model from the perspective of revenue. References | Related Articles | Metrics

A Simulation Study of Human Risk Infection Behavior in Airport Flight Area TANG Xinxin, LUO Fan 2017, 20 (4):  108-115.  doi: 10.3969/j.issn.1007-7375.e17-3031 Abstract ( 756 )   PDF (939KB) ( 5668 )   Save A dynamic model of human risk infection behavior in airport flight area is constructed by the factors such as the change rate, the susceptibility coefficient (the exposure coefficient, the genetic immunity) and the ratio of sharp attitude group in order to explore the change law of human risk infection behavior and to control the risk factors scientifically and reasonably. Genetic immunity is composed of four parts:physiological state, psychological state, business skills and interpersonal relationship of the staff. Matlab software is used to simulate the variation of the average attitude of the system with different factors. The results show that the initial attitude of the system determines the average attitude tendency of equilibrium state. And the effects of exposure coefficient and genetic immunity on the average attitude change are different under different initial attitudes. The higher the proportion of the sharp attitude group in the system, the slower the average attitude tends to balance. The conclusion provides the theoretical basis for the risk control strategy of the system under different initial conditions. References | Related Articles | Metrics