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30 April 2017, Volume 20 Issue 2 Previous Issue    Next Issue

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Procurement Contract Design Considering Supply Disruption and Delay in Delivery under Asymmetric Information SHEN Xiaoyu, SONG Wenqian 2017, 20 (2):  1-6.  doi: 10.3969/j.issn.1007-7375.e15-1401 Abstract ( 948 )   PDF (464KB) ( 5871 )   Save In order to explore the impact of supply disruption risk and delay in delivery on the manufacturer's procurement decisions under asymmetric information, the manufacturer's optimal procurement contracts and supplier's optimal production decisions are analyzed, by employing the theory and methodology of procurement mechanism design. The results show that: 1) the manufacturer should regulate the production quantity and lead time of the supplier by designing penalty for non-delivery and for delay in delivery, respectively. 2) Given supplier's private information about supply reliability, the high type supplier receives higher penalties for non-delivery and delay in delivery than in the case of symmetric information, shortening the optimal lead time. In contrast, the low type supplier obtains lower penalty for non-delivery, and the penalty for delay in delivery is not affected by information asymmetry, leading to unchanged lead time decision. 3) Information asymmetry does not necessarily decrease social welfare. References | Related Articles | Metrics

A Design of LPG Enterprise Agent Selling Mechanism with Asymmetric Information JI Guang, HU Mingmao, QI Ershi, LI Jianguo 2017, 20 (2):  7-13.  doi: 10.3969/j.issn.1007-7375.e16-1216 Abstract ( 884 )   PDF (817KB) ( 6072 )   Save A mechanism for LPG (Liquefied Petroleum Gas) enterprise agent selling with asymmetric information is designed and analyzed. A principal-agent model is established to maximize the profit of the LPG enterprise, and the salve volume function and the transfer payment can be obtained through variational method after analyzing the objective function, the incentive compatibility constraint and the participation constraint. The sales volume and the transfer payment are increasing with the increase of the service level, while the selling agent can only obtain the maximum profit when he/she reports the true service level. Finally, a numerical example is given to illustrate the effectiveness of the proposed model. References | Related Articles | Metrics

Research on Overbooking Strategy of Room Reservation with Distribution of Check-in Known ZHOU Shiping 2017, 20 (2):  14-18.  doi: 10.3969/j.issn.1007-7375.e16-4207 Abstract ( 819 )   PDF (339KB) ( 5967 )   Save With the universal application of the Internet, the traditional marketing models have been replaced by network marketing model, and room reservation online has become the mainstream of the time. Because the demand uncertainty in online room reservation leads to No-Show, hotel vacancy rate remains high, reducing the hotel's operating profit. In order to improve the hotel room occupancy rate, overbooking strategy has been used to room reservation in the pre-sale period. Assuming that Probability distribution information of check-in rate is known, the optimal level of overbooking has been obtained in the pre-sale period by maximizing the expected revenue optimization model, and a sensitivity analysis has been made of factors that affect the optimal level of overbooking. References | Related Articles | Metrics

Opaque Selling Mechanism for Airlines with Strategic Passengers of Demand Uncertainty TAN Meirong, LI Hao 2017, 20 (2):  19-25.  doi: 10.3969/j.issn.1007-7375.e16-1081 Abstract ( 1328 )   PDF (573KB) ( 6078 )   Save The effect of passenger strategic behavior on the revenue of airlines when demand is uncertain is studied. The opaque selling mechanism is introduced to the ticket sale process. A Hotelling model is proposed and the optimal price obtained, with market coverage and expected revenue of airlines with two mechanisms discussed. Finally, numerical experiments are presented to analyze the difference of two mechanisms. And it is found that opaque selling can ease the passenger strategic behavior and enhance the airlines' profit. References | Related Articles | Metrics

Grading Medical Service Strategy for Public Hospitals Based on Game Theory WANG Ning, MIAO Rui, JIANG Zhibin 2017, 20 (2):  26-31.  doi: 10.3969/j.issn.1007-7375.e16-1041 Abstract ( 1647 )   PDF (354KB) ( 6373 )   Save Aiming at hierarchical medical service between public hospitals, a duopoly game model is established based on patients' rational perception of healthcare service. The model studies the strategic choices of different grade hospitals that face the same disease treatment under co-regulation of government and healthcare market. The sub-game perfect Nash equilibrium is applied in the analysis of the profit trade off between two hospitals. Results show that hospitals can differentiate quality and price of service to get optimal profits and that government can differentiate reimbursement ratio to promote bypass of patients in third-grade hospital. The research can support pricing and reimbursement decision making of medical treatment for public hospitals. References | Related Articles | Metrics

Priority Coding Mechanism Based 4PL Routing Problem with Stochastic Demand CUI Yan, HUANG Min, YANG Xuecheng, ZHANG Xin 2017, 20 (2):  32-37.  doi: 10.3969/j.issn.1007-7375.e16-3244 Abstract ( 1257 )   PDF (560KB) ( 6046 )   Save Considering that in the Fourth Party Logistics (4PL), customers' demand is changing with the time or envir-onmental parameters, a problem for 4PL Routing Problem with Stochastic Demand (4PLRPSD) is proposed. With the analysis of the stochastic demand, a mathematical model for the 4PLRPSD is built based on the stochastic programming methods with subjective preferences. Taking into account the character that the problem needs to choose a constrained shortest path in the multi-graph, a genetic algorithm based on the double array priority coding method with stochastic simulation is proposed. The experimental results show that with the different duration time, the transportation cost increases with the credibility level. References | Related Articles | Metrics

A Research of Cold-chain Logistic Distribution Path Optimization Based on the Improved Intelligent Water Drop Algorithm WANG Weijun, LUO Wei 2017, 20 (2):  38-43.  doi: 10.3969/j.issn.1007-7375.e16-2292 Abstract ( 1692 )   PDF (369KB) ( 6246 )   Save In view of the cold chain logistic distribution routing optimization, based on the traditional distribution path optimization, according to the characteristics of the cold chain logistics, a model of cold chain logistic distribution path optimization cost with time windows was constructed. According to the idea and principle of intelligent water drop algorithm, the intelligent water drop algorithm was improved, and the improved intelligent water drop algorithm was applied to the model. Finally, with the help of MATLAB software, simulation for an example is done and compared with other intelligent algorithms. The results prove that this method for solving the time window of cold chain logistic distribution path optimization was more accurate and superior, and can provide a feasible method for similar path optimization. References | Related Articles | Metrics

A Study of Job-Shop Scheduling Based on Multi-Resource Constrained FAN Jiajing 2017, 20 (2):  44-50.  doi: 10.3969/j.issn.1007-7375.e16-1218 Abstract ( 1468 )   PDF (398KB) ( 6186 )   Save Considering that machines, workers and robots are important human resource and that robots are widely applied in manufacturing company, a job-shop scheduling problem is put forward based on multi-resource constraint, in order to better adapt the actual scheduling demand of modern enterprises. Aiming at minimum sum of delivery penalty cost, machines and robot operation cost and employee wage cost, a 0-1 integer program mathematical model is built. An advanced genetic algorithm presented to solve this model according to the complexity and characteristics of the scheduling model. At last through an analysis of seven cases of different scales, the validity of the model and algorithm is proven. References | Related Articles | Metrics

The Effect of Display Movement Speed on Visual Fatigue in Dynamic Visual Search Tasks LIU Na, ZHANG Yunhong, YU Ruifeng, ZHANG Gaoyan 2017, 20 (2):  51-55.  doi: 10.3969/j.issn.1007-7375.e16-1142 Abstract ( 1447 )   PDF (715KB) ( 6282 )   Save The study aimed to investigate the effect of display movement speed on visual fatigue in dynamic visual search tasks. The movement speed had five levels: 0°/s, 2°/s, 4°/s, 6°/s, and 8°/s. The visual fatigue was measured by critical flicker frequency (CFF). The analysis of variance (ANOVA) results indicated that for dynamic visual search tasks, the main effects of movement speed and search time point on visual fatigue were significant and their interaction effect was also significant. Within 40min search time, visual fatigue increased as search time increased. When performing search tasks after 40 minutes, the visual fatigue became steady. The visual fatigue at 0°/s showed no significant difference with that at 2°/s. When the movement speed was in the range of 2°/s to 6°/s, the visual fatigue increased as movement speed increased. The visual fatigue at 6°/s showed no significant difference with the visual fatigue at 8°/s. References | Related Articles | Metrics

Obstacle Avoidence Path Planning for Robot Arm Based on Mixed Algorithm of Artificial Potential Field Method and RRT HE Zhaochu, HE Yuanlie, ZENG Bi 2017, 20 (2):  56-63.  doi: 10.3969/j.issn.1007-7375.e17-2002 Abstract ( 2714 )   PDF (1047KB) ( 8571 )   Save 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. References | Related Articles | Metrics

Lean Production Improvement by EVSM and Flexsim Simulation ZHANG Hongliang, LUO Wenbin 2017, 20 (2):  64-70.  doi: 10.3969/j.issn.1007-7375.e16-2313 Abstract ( 1644 )   PDF (785KB) ( 6276 )   Save The environmental value stream is constructed, which facilitates value stream management analysis of the operation efficiency as well and environmental efficiency. In addition, the integration of simulation and environmental value stream improves the objectivity of future value stream mapping. By applying the theory to one motor factory's production process of stator and rotor, the production problems are identified in environmental value stream management from time and energy consumption, and then the IE tools and Flexsim simulation are applied. The implementation effect not only includes inventory reduction as well as ratio increase of value-added time, but also contains easing the influence of production to environment. References | Related Articles | Metrics

The Balance Analysis and Optimal Design in a Mobile Phone Housing Inspection Line LI Jun, FAN Bingyi, LI Xiangyu 2017, 20 (2):  71-77.  doi: 10.3969/j.issn.1007-7375.e15-1503 Abstract ( 1337 )   PDF (2396KB) ( 6306 )   Save In order to solve the problems of low production efficiency and high labour costs in a mobile phone housing inspection line, the bottleneck of inspection line is analyzed based on the data obtained from work measurement and Flexsim simulation technology. From two aspects of the operation mode and the workstation layout, the inspection line is optimized and re-designed by using method engineering. With the help of Flexsim, simulation test is carried out to evaluate the implementation effect of the optimization scheme. In the case of cost reduction, the workstation load and production efficiency are improved after the adoption of the new scheme. The results show that the combination of IE method and simulation technology can make the improvement of the manufacturing system more effective. References | Related Articles | Metrics

Model and Algorithm for Batch Scheduling with Double Constrains of Processing Time HUANG Jindian, HUANG Wei, ZHENG Gengzao 2017, 20 (2):  78-85.  doi: 10.3969/j.issn.1007-7375.e16-3303 Abstract ( 1089 )   PDF (378KB) ( 5964 )   Save In order to improve the efficiency of heat-treatment and to effect on-time delivery, considering the heat-treatment batch processing time constrained by double factors, the amount of stove and the maximum job size of the batch with two objectives of minimizing makespan and minimizing maximum lateness, two mixed integer linear programming models are developed, respectively called Model C and Model L. According to the relational feature between the calculation result of Model C and the setting value of the batch number upper bound, the heuristic HC is developed to improve the efficiency of Model C. A counter-example shows that the feature of Model C does not apply to solving Model L. The heuristic HL is developed for minimizing maximum lateness. An extensive simulation study is conducted. The results show that the two mathematical models are able to obtain the optimal solution, but not more than 18 jobs. The algorithm HC can get the optimal solution of 60 jobs. Compared with the optimal solution, the average deviation of the algorithm HL is not more than 15%, and the scheduling performance is better than the other two typical algorithms. References | Related Articles | Metrics

n-n Inbound Logistic Transportation Planning Based on Improved Simulated Annealing Algorithm ZHENG Shuo, LIN Yu 2017, 20 (2):  86-90.  doi: 10.3969/j.issn.1007-7375.e16-1179 Abstract ( 879 )   PDF (368KB) ( 5933 )   Save To reduce inbound logistic cost of enterprises, aiming at minimizing running costs, three kinds of inbound logistic transportation modes: the direct transportation mode, the cross-dock transportation mode, and the milk-run transportation mode, were applied to the multi-suppliers and multi-manufactures (n-n) inbound logistic transportation problem. Then, the respective non-linear integer programming model was built and solved by simulated annealing algorithm. The solution coding scheme in this algorithm was m×n matrix coding scheme combining with the milk-run and the cross-dock. And the neighborhood selection process was designed based on three mutation operations. Finally, numerical examples verified the significant advantages of the proposed programming method and the validity of this proposed algorithm. References | Related Articles | Metrics

A Research on Risk Identification for Coal Mining Enterprises Based on FMEA and Fuzzy VIKOR JING Shuwei, WEN Zhifang, YAN Junai 2017, 20 (2):  91-98.  doi: 10.3969/j.issn.1007-7375.e16-4250 Abstract ( 866 )   PDF (394KB) ( 6064 )   Save In order to identify the potential risk factors effectively, the traditional FMEA is used to extract 20 potential risk factors. Then, considering the insufficiency of the traditional FMEA when calculating RPN (risk priority number), which is not precise and objective enough, fuzzy VIKOR is introduced to evaluate every risk factor. Finally, an coal mining enterprise is selected to carry out a case analysis. The result shows that fuzzy VIKOR can identify the risk more precisely and can make up for the shortcoming of traditional FMEA; and that the scientific combination of FMEA and fuzzy VIKOR is an effective method to identify the potential risk factors of coal mining enterprises, and it can provide a basis for emergency management for coal mining enterprises. References | Related Articles | Metrics

E-commerce Customer Churn Prediction based on Customer Segmentation and AdaBoost WU Xiaojun, MENG Sufang 2017, 20 (2):  99-107.  doi: 10.3969/j.issn.1007-7375.e16-4206 Abstract ( 1537 )   PDF (516KB) ( 6567 )   Save In order to identify the high value customers as well as improve the prediction accuracy of non-churn customers, the high value customer groups are identified by K-mediods clustering and the churn data processed with improved SMOTE (synthetic minority oversampling teachnique), which combines oversampling and undersampling methods to balance the datasets and generates the certain size of positive and negative samples by setting sampling ratio and controlling the model training time, then AdaBoost algorithm is employed to predict. At last, an empirical study on B2C E-commerce platform shows that the integrated model has better efficiency and higher prediction precision compared with the mature customer churn prediction algorithms, such as BP Neural, SVM (support vector machine) and CW-SVM (class weighted support vector machine). Meanwhile, the prediction model of e-commerce customer churning based on customer segmentation has been proved to have better prediction performance. References | Related Articles | Metrics