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30 June 2019, Volume 22 Issue 3 Previous Issue    Next Issue

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A Research on Manufacturing/Remanufacturing Production Decisions Considering Carbon Quota Pledge Financing under Capital Constraints CHEN Weida, SHI Wenjin 2019, 22 (3):  1-8.  doi: 10.3969/j.issn.1007-7375.2019.03.001 Abstract ( 1282 )   PDF (1032KB) ( 5664 )   Save A study is conducted on the decision of production and emission reduction investment of manufacturing/remanufacturing enterprises considering carbon quota pledge financing under capital constraints. Two mathematical models about no-financing and having carbon quota pledge financing considering capital constraints are established, and then the impact of self-owned capital and effect parameters of emission reduction on product, carbon emissions and total profit are analyzed by examples. The result shows that in the case of capital constraints, carbon quota pledge financing can increase production and profits, but it may also lead to an increase in total carbon emissions, which contradicts the purpose of reducing carbon emissions. The company's ability to reduce emissions is positively related to the accumulation of emission reduction effects. The amount of accumulation is small when it is not financed. Choosing financing can lay a foundation for the company to achieve a win-win situation in the future. References | Related Articles | Metrics

An Optimization of Workers in Mixed Assembly Line Considering Efficiency Differences and Distribution in Different Station HU Mingmao, QI Ershi, ZHAO Kai, ZHANG Hongyi 2019, 22 (3):  9-18.  doi: 10.3969/j.issn.1007-7375.2019.03.002 Abstract ( 901 )   PDF (742KB) ( 6503 )   Save 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. References | Related Articles | Metrics

The Selection of User Co-design for Information Products under Piracy GUO Qiang, YANG Shuang 2019, 22 (3):  19-29,76.  doi: 10.3969/j.issn.1007-7375.2019.03.003 Abstract ( 857 )   PDF (1392KB) ( 5736 )   Save With piracy existing in the information products market, a monopoly manufacturer's selection of user co-design is examined. Based on the consumer individual rationality and incentive compatibility, as well as the basic utility model, according to whether the pirated products present in the information product market and the original manufacturers choose user co-design or not, four mathematical models, respectively, NS, NC, and are set up. By comparing the results of the four models the following conclusions can be drawn. Firstly, when manufacturers choose user co-design, monopoly manufacturer's profit in the NC model is higher than monopoly manufacturer's profit in the YC model, and monopoly manufacturer's profit decreases with the reduction of user's co-design efforts. Secondly, when the consumers' valuation to legitimate information products is small, the user's co-design efforts level in YC model is higher than the user's co-design efforts level in YC model. When the consumers' valuation to commercial information products is large, the user's co-design efforts level in YC model is lower than the user's co-design efforts level in YC model. Thirdly, regardless of there being pirated products in the information market or not, the manufacturer's market share when the manufacturer chooses the user co-design is lower than the manufacturer's market share while the manufacturer does not choose the user co-design. Finally, regardless of there being pirated products in the information market or not, when the quality of commercial information products is low, the price of the commercial information products as the manufacturer chooses co-design is lower than the price when the manufacturer does not choose co-design. When the quality of commercial information products is high, the price of the commercial information products as the manufacturer chooses co-design is higher than the price when the manufacturer does not choose co-design. References | Related Articles | Metrics

A Research on Firms' Efficiency and Its Relationship with Performance of High-end Equipment Manufacturing Enterprises ZHAO Zhengjia, YU Xi 2019, 22 (3):  30-36.  doi: 10.3969/j.issn.1007-7375.2019.03.004 Abstract ( 939 )   PDF (448KB) ( 5727 )   Save Based on the data envelopment analysis method and Malmquist index method, the data of high-end equipment manufacturing enterprises listed on Shanghai Stock Exchange from 2008 to 2016 were analyzed to research the firms' efficiency level and their dynamic changes. A panel data model was used to explore the relationship between firms' efficiency and performance, considering the influence of control variables. The results suggest that the industry average technical efficiency is not high and many enterprises belong to different levels; the scale efficiency change is high, which means that low technical efficiency change is influenced mainly by the low pure technical efficiency change; technical change shows the volatile growth trend; the pure technical efficiency and scale efficiency have significant positive impacts on performance, while technical change and performance have no significant effective linkage. References | Related Articles | Metrics

A Research on the Quality Control of Wind Turbine Hub Assembly Process Based on Improved Taguchi Method ZHENG Yuqiao, ZHANG Chengcheng, MA Huidong, ZHANG Lu 2019, 22 (3):  37-43.  doi: 10.3969/j.issn.1007-7375.2019.03.005 Abstract ( 1129 )   PDF (825KB) ( 5626 )   Save Aiming at the quality control problem of wind turbine hub assembly process, a method is put forward that identifies and monitors the key process of hub assembly oriented to positioning, according to the characteristics of multi-variety small batch production mode. Considering the cost and relative quality loss in the assembly production of the wheel hub, the quality characteristic loss standard of the assembly process is proposed, and the improved Taguchi quality loss function adopted to identify the key process of the hub assembly. In order to solve the bottleneck of statistical process control (SPC) method applied to small batch production mode, the process similarity analysis and evaluation method is introduced based on intuitionistic fuzzy set, which means that by analyzing the influencing factors of process similarity, this method aims to establish a similarity evaluation index system and an evaluation model for the hub group process, which complete the measure of process similarity. Finally, the SPC method is used to monitor and manage the key processes of the hub assembly to ensure the assembly quality of the hub. This study provides a theoretical basis for the use of SPC methods to manage process quality in small batch production models. References | Related Articles | Metrics

A Research on Optimal Allocation of Manufacturing Resources for Cloud Manufacturing Services XU Chun'an, LI Fang 2019, 22 (3):  44-51,109.  doi: 10.3969/j.issn.1007-7375.2019.03.006 Abstract ( 1244 )   PDF (1301KB) ( 5698 )   Save In order to reduce the cost of manufacturing and service for cloud clients, solve the problem of resources optimization deployment for no need preference under the circumstance of cloud manufacturing, take into full consideration the interests of enterprises which need manufacturing resources and cloud platform operators, together with QoS and flexibility of both sides in the process of manufacturing resources configuration service, a multi-objective optimization model is built for resource allocation. This model represents interests of the above-mentioned two parties. In addition, the model examples are solved by modifying NSGA-Ⅱ algorithm. Results prove that the model and the algorithm are feasible, effective and stable. References | Related Articles | Metrics

A Research on Distribution Problem of Electric Bicycle-sharing Batteries FENG Chun, QIN Bingfang, YE Lu 2019, 22 (3):  52-56.  doi: 10.3969/j.issn.1007-7375.2019.03.007 Abstract ( 1366 )   PDF (447KB) ( 5839 )   Save The distribution plan of electric bicycle-sharing batteries has a great impact on the users' immediate experience and the interests of the company. In order to develop an optimal distribution scheme and truly get through "the last mile" of people's travel, the requirements of enterprises for the distribution cost and the users' requirements for timeliness are considered, and a model of vehicle routing problem with soft time windows with objectives of minimizing the total distribution cost and maximizing user satisfaction is established. Then the traditional genetic algorithm is improved by sweep algorithm and the crossover operator based on the cost of optimal path. Finally, an example is adopted to verify that this model and the improved algorithm are effective. And the correlation between population size, iteration number and optimal solution is found by numerical experiments. References | Related Articles | Metrics

A Research on the Interruption Effect of Light Assembly Operation Based on Near Infrared Optical Brain Imaging Experiment HAN Wenmin, HUANG Jingsong, WU Jun, XIA Huajie, ZHANG Lulu 2019, 22 (3):  57-64.  doi: 10.3969/j.issn.1007-7375.2019.03.008 Abstract ( 738 )   PDF (649KB) ( 5807 )   Save More and more enterprises are faced with the problems that production tasks are often complex and changeable, and random disturbances increase dramatically during production, which leads to frequent work interruption. Thus, it is necessary to investigate the changes of operators' performance and cognitive load in the case of work interruption. A Lego-light assembly experiment was carried out under interruption mixed with different degrees of complexity and similarity. 24 undergraduates participated in the experiment. Each subject was randomly assigned to five different groups of assembly tasks (non-interruption, similar-simple, complex-similar, simple-dissimilar, and complex-dissimilar). During the experiment, the operators' completion time and error rate were recorded. Meanwhile, the changes of oxygen hemoglobin concentration in the left and right brain prefrontal of operators were monitored with the use of near-infrared spectroscopy device. The results show that the complexity of interruption tasks has no effect on the brain cognitive load and performance of operators, but similar interruptions impair operators' performance, and dissimilar interruptions increase operators' cognitive load. The study finds the allocation of attention resources in the brain when operators were interrupted, and develops the working memory theory in the process of attention focus conversion of the action skill task, which guides light assembly companies to formulate interrupt management strategies rationally, improve production efficiency, and reduce operator cognitive load to achieve sustainable and efficient production. References | Related Articles | Metrics

Green Investment Strategy Selection and Behavioral Evolution of Original Agricultural Products with Risk-averse Manufacturers QU You, GUAN Zhimin, ZHAO Ying 2019, 22 (3):  65-76.  doi: 10.3969/j.issn.1007-7375.2019.03.009 Abstract ( 1381 )   PDF (1089KB) ( 5474 )   Save Customers' preference to greener agricultural products makes farmers and downstream manufacturers realize the importance of improving the greenness of primary agricultural products. Aiming at the farmers and risk-averse manufacturers' decision on green investment in primary agricultural products, the payoff matrix is obtained by developing a Stackelberg game. Based on evolution game theory, the evolutionary process of the two heterogeneous groups has been analyzed and the ESS (Evolutionary Stability Strategy) gained. A simulation of the system evolutionary process has also been conducted. The results show that facing the customers who possess green purchase preference, at least one side of the farmers and manufacturers will invest in improving the greenness of primary agricultural products. When they collaborate and share the investment costs, an ideal equilibrium state system will be evolved; under the ideal equilibrium state, the evolutionary velocities and revenue (utility) of the farmers and manufacturers are directly related with the manufacturers' risk-averse parameters and costs sharing proportion. References | Related Articles | Metrics

Real-time Pricing Based on Game Theory in Smart Community from Advertisement Perspective LI Lu, DAI Yeming 2019, 22 (3):  77-85.  doi: 10.3969/j.issn.1007-7375.2019.03.010 Abstract ( 1221 )   PDF (1305KB) ( 5674 )   Save Considering the competition behavior of electricity suppliers in continuous time slots, advertising differential game theory is introduced to depict the interaction among electricity suppliers. A Stackelberg game model with multiple leaders and multiple followers is formulated to study the real-time electricity pricing problem. By solving the optimal problem on user side and the non-cooperative differential Nash equilibrium among electricity suppliers, the Stackelberg game equilibrium between the suppliers and users is achieved. Finally, the real-time electricity price under the advertising competition of electricity suppliers is obtained. The results of numerical simulation show that the maximum payment of electricity suppliers taking advertising behavior increases first and then decreases with the increase of its advertising cost and price, but increases with the increase of user scale. In addition, with the increase of unit advertising cost, the uniform electricity price of electricity suppliers gradually decreases and the user's utility is improved. Moreover, the electricity suppliers with lower advertising cost sell more electricity. References | Related Articles | Metrics

A Quality Evaluation Model for Massive Patents Supporting Patent Circumvention WU Shaoqing, GUI Ke, LIU Jiangnan 2019, 22 (3):  86-92,109.  doi: 10.3969/j.issn.1007-7375.2019.03.011 Abstract ( 788 )   PDF (788KB) ( 5635 )   Save Sifting a target patent with core competitiveness through existing patents is the key step of patent circumvention to raise the starting point. For massive patents in design domain, a multi-index evaluation model was proposed, which effectively integrates subjective and objective weights. To improve the scientificalness and operability of evaluation indicators, the positive correlations between patent bibliographic data and patent quality were analyzed. As a result, five bibliographical data, i.e. patent duration, claims number, family number, citing number and cited number, were selected as indexes to establish a comprehensive evaluation system of patent quality. By combining Delphi Method, Analytic Hierarchy Process and Mean Square Error Decision Method, the objective and subjective weighting approach was presented to ensure authority of the evaluation result and reduce effects of personal bias and compromises. A process model of selecting target patents based on the patent quality evaluation model was built and applied in a real case of patent circumvention. The results show that the model improves the overall efficiency of finding target patents with core competitiveness. References | Related Articles | Metrics

practice & application

Optimization of Milling Parameters Based on Hesitant Fuzzy Decision YU Jianli, GU Fengying, CHEN Honggen 2019, 22 (3):  93-99.  doi: 10.3969/j.issn.1007-7375.2019.03.012 Abstract ( 638 )   PDF (788KB) ( 5474 )   Save To optimize the quality of milling process, a milling parameter optimization method based on hesitant fuzzy decision making is studied. According to the mechanism of milling cutting process, the controllable factors are introduced into the experiment firstly. The mathematical optimization model of milling parameter is established based on experimental data. Then it combines the hesitant Euclidean distance with fuzzy logic inference to simplify the multi-response system in the milling process. The above process avoids the setting of right weights in the traditional fuzzy measure method and extracts the effective information of the correlation of the response at the same time. Finally, the most suitable combination of parameters is obtained through the main effect analysis among the controllable factors and the output value of the fuzzy inference process:when the feed speed is 0.01 mm/tooth, the cutting depth is 0.064 mm, the cutting speed reaches 396 m/min, and the cutting width reaches 12.26 mm, the surface roughness Ra and Rt of the machined components are optimized, which improves the quality of the machining parts. From the result, it is clear that the method of hesitant fuzzy decision theory is applied to the optimization of milling parameters for the first time. This application avoids the information loss caused by the mean processing method and can increase the robustness of experimental design. Compared with the desirability function method, the proposed milling parameter optimization method based on hesitant fuzzy decision is not restricted by the right weight and it can optimize the two responses of the process at the same time, which has practical effectiveness and reliability. References | Related Articles | Metrics

Modeling and Analysis of a Manufacturing Cell with an Automatic Loading/Unloading and Transporting Robot CHEN Jinbiao, ZHANG Huiyu, MAO Ning, CHEN Qingxin 2019, 22 (3):  100-109.  doi: 10.3969/j.issn.1007-7375.2019.03.013 Abstract ( 894 )   PDF (1034KB) ( 5740 )   Save Focused on a manufacturing cell with an automatic loading/unloading and transporting robot, considering dual resource constrained in particular, an open queuing network model with finite buffer capacity was put forward. Firstly, according to the processing, loading and unloading, transporting of the workpiece, each kinds of state about the queuing network model of the intelligent manufacturing cell is defined. Secondly, based on Continuous-time Markov Chain, this model is solved by exact solution method, and a series of the steady-state performance of the system is obtained. Thirdly, in order to verify the validity of the queuing network modeling method, the corresponding simulation model is established. Finally, the system performance is solved and comparing the two methods which are the numerical calculation in the queuing network model and the simulation statistics in the simulation model, the system performance of this manufacturing cell is analyzed based on the queuing network model. This research can provide important theoretical support for the capacity configuration optimization and facility layout optimization of this kind of the manufacturing cell. References | Related Articles | Metrics

An Optimal Inventory Configuration of Dual-channel Multi-echelon Distribution Network ZHENG Xin, QU Ting, NIE Duxian, GUO Hongfei, HUANG George Q 2019, 22 (3):  110-118.  doi: 10.3969/j.issn.1007-7375.2019.03.014 Abstract ( 1095 )   PDF (774KB) ( 5540 )   Save The problem of how to guarantee the low operation cost to the intra-node and inter-node coordination of each node in the multi-echelon and multi-node distribution network when enterprises adopt dual-channel distribution strategy is studied. Because there are few researches on the inventory allocation of multi-echelon dual channel distribution network at home and abroad, an optimal configuration method of online inventory at any echelon is presented and the multi-echelon guaranteed service inventory model expanded into a dual-channel multi-echelon distribution network inventory configuration optimization model. The results show that the integrated dual channel distribution network reduces the operating cost of the enterprise, while the allocation online inventory improves the efficiency of the enterprise's online commodity transaction and reduce the overall operating cost of the distribution network. References | Related Articles | Metrics

Appointment Strategy for Preventive Healthcare Services in Community Health Service Center ZHOU Conggen, JIANG Wen, WANG Haiyan 2019, 22 (3):  119-125,131.  doi: 10.3969/j.issn.1007-7375.2019.03.015 Abstract ( 779 )   PDF (865KB) ( 5564 )   Save The community health service center mainly provides comprehensive preventive healthcare services. It not only saves medical resources, but also satisfies residents' needs for healthcare. Effective prevention can improve the quality of life for residents. The operation strategy of this kind of service is explored from the perspective of appointment, the revenue of the operator analyzed, considering the situation that residents will cancel the appointment and no-shows comprehensively, establishing the revenue model, giving the solution method, and solving the dynamic operation scheme under different parameter settings by a numerical simulation. The results of numerical simulation analysis show that in the case of no-shows, the operator will preferentially allocate more service capacity to the reserved residents, and there are optimal appointment plans that can be selected under different probabilities of no-shows. When considering the cancellation of appointments and no-shows at the same time, the operator can improve the satisfaction and participation of residents by adjusting the unit price of the service appropriately, and provide theoretical basis and practical reference for the subsequent establishment of an operation appointment system for such services. References | Related Articles | Metrics

A Model and an Algorithm of Logistics Terminal Node Location Problem Considering Customer Satisfaction XIAO Yuhui, LOU Zhenkai 2019, 22 (3):  126-131.  doi: 10.3969/j.issn.1007-7375.2019.03.016 Abstract ( 812 )   PDF (499KB) ( 5547 )   Save In order to solve the location problem of single logistics terminal node of picking up goods by self-help pattern, the constraint of farthest distance is considered under the premise that customers' number and geographical location are given, and a mathematical model is established with the objective function of the fuzzy membership degree of customer satisfaction. For the purpose of solving the model, the means clustering is applied to obtain an initial feasible node, and then a heuristic algorithm is proposed to optimize the initial solution based on excentre of triangle and equal diversion point by taking customers of less satisfaction as vertexes, which allows to accept one-time suboptimum solution in order to avoid falling into local optimum. In addition, a memory array is set to ensure that final output is optimal solution throughout the process. Finally, a numerical example is given, which demonstrates that the heuristic algorithm is better than both the means clustering and the point density clustering. References | Related Articles | Metrics