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    30 June 2018, Volume 21 Issue 3 Previous Issue    Next Issue
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    A Procedure Modularity Analysis Method of Complex Product Development Project
    FENG Liangqing, HUANG Dali, HE Zhen, LI Wenchuan
    2018, 21 (3):  1-10.  doi: 10.3969/j.issn.1007-7375.2018.03.001
    Abstract ( 729 )   PDF (754KB) ( 5637 )   Save
    Considering the complex product development project existing in non-homogeneity in module division and disharmony in management collaboration, a method of realizing the module decomposition by layer is proposed from the perspective of function relevance and information relevance. Then, according to the modular function and sensitivity function, the modularity degree and sensitivity characteristics of project procedures are analyzed. It is found that there exists an inflection point for the concavity of modularity function while the sensitivity function is concave. Moreover, an air project of complex product development is taken as an example and its procedure modules are decomposed. By simulating the modularity and sensitivity curves, corresponding management strategies of modularity are put forward from the modular degree and sensitivity perspective:When the modular degree is high, and the modular sensitivity is low, the company should expand the new development business. Otherwise, the company should improve the management flexibility and reduce the scope of new business.
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    Retailer Information Sharing with Corporate Social Responsibility
    NIE Jiajia, CAI Renlei
    2018, 21 (3):  11-20.  doi: 10.3969/j.issn.1007-7375.2018.03.002
    Abstract ( 901 )   PDF (769KB) ( 5770 )   Save
    The impact of information sharing on corporate social responsibility (CSR) is studied. A Stackelberg model is constructed based on dynamic game theory. The backward induction analysis method is applied to get the information sharing and social responsibility commitment strategies. The results show that manufacturers' commitment to CSR strategy is affected by consumer's sensitivity to CSR behaviors and information sharing strategies. When consumers' CSR sensitivity is higher or lower, information sharing strategies do not affect manufacturers' CSR behavior; when the sensitivity of consumer CSR is moderate, retailers will actively share larger uncertain demand information and guide manufacturers to undertake CSR, but competition will weaken the incentive for retailers to share information.
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    Pricing Strategy and Coordination of Closed-loop Supply Chain Considering Horizontal Fairness under Dual Channel Sales
    WANG Lei, QU Jing, LIU Xinmin
    2018, 21 (3):  21-31.  doi: 10.3969/j.issn.1007-7375.2018.03.003
    Abstract ( 1232 )   PDF (1049KB) ( 5847 )   Save
    Considering the closed-loop supply chain composed of dual-channel retailers and manufacturers, the dynamic game models under the direct recovery mode of the manufacturer and the model of the third party recycling are established. Based on the fair and neutral balanced strategy, the influence of the horizontal fair preference of the offline retailer on the pricing strategies and the profit of the decision-making entities in the double-channel closed-loop supply chain are analyzed. The study shows that regardless of whether the retailer has horizontal fair concerns, the direct recovery model of the manufacturer is better than that of the third party. In the direct recycling model, the horizontal fairness preference of offline retailer makes two retailers in the forward supply chain compete to reduce their retail prices in order to increase their market share, manufacturers encourage competition to reduce the wholesale price, and prices are negatively correlated with the horizontal fair concern coefficient. While in the reverse supply chain, the manufacturer will improve the recovery rate of waste products. Compared with the fair and neutral situation, this pricing strategy increases the utility of the manufacturer and the entire supply chain system, while the two retailers are the opposite. The manufacturer, as a channel manager, can encourage retailers to compete in price reduction through tripartite revenue sharing contract to achieve the Pareto Optimally.
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    Pricing Strategy in the Dual-channel Supply Chain with Charging the Product Experience Fee of the Free-riders
    TANG Kun, ZHANG Yulin
    2018, 21 (3):  32-40.  doi: 10.3969/j.issn.1007-7375.2018.03.004
    Abstract ( 1049 )   PDF (682KB) ( 5855 )   Save
    To investigate the impact of the free-riding behavior under the circumstance of charging the free riders' product experience fee by the brick and mortar retailer, and explore the condition that the brick and mortar retailer is willing to charge the free riders' product experience fee, a dual-channel supply chain consisting of a manufacturer and a brick and mortar retailer is set up. Based on the consumer utility theory, the pricing strategy, market demand and the profits with the consumers' free-riding behavior are analyzed by using K-T (Kuhn-Tucker) condition. The results show that the experience fee set by the brick-and-mortar retailer has a positive impact on retailer channel sales price, while it has a negative impact on online channel sales price when the consumers' travel cost is low. The study further shows that the profits of the manufacturer will be damaged and the competition between the manufacturer and the brick and mortar retailer will be intensified when the brick and mortar retailer charges the product experience fee of the free-riding consumer.
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    A Multi-objective Optimization Design of Tourism Product Based on Tourist Perceived Service Quality
    WU Jian, LU Fang, LUO Dingti
    2018, 21 (3):  41-48.  doi: 10.3969/j.issn.1007-7375.2018.03.005
    Abstract ( 867 )   PDF (510KB) ( 5912 )   Save
    The optimization design of tourism products is one of the most important contents in the operation and management of tourism service enterprises. From the perspective of the perceived service quality of tourists, the six elements of tourism service and the alternatives to realize them are studied. By introducing the expected quality of service and the actual perception of quality of service, a model of single objective tourism product optimization design is proposed, which has the highest satisfaction degree, the least design cost and the best ecological environment in the tourist area. And by analyzing the weights between targets, a multi-objective optimization model for tourism product design is proposed. Finally, through a case study of the optimal design of parent-child travel products, the validity of the model is tested, providing more feasible decision-making reference for tourism service enterprises in tourism product design.
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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
    2018, 21 (3):  49-58.  doi: 10.3969/j.issn.1007-7375.2018.03.006
    Abstract ( 1044 )   PDF (492KB) ( 6264 )   Save
    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.
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    A Research on Lot Streaming in Parallel Machines Scheduling with Mold Constraint
    ZHANG Zhen, YOU Fengxiang, ZHAO Xinqiao
    2018, 21 (3):  59-64.  doi: 10.3969/j.issn.1007-7375.2018.03.007
    Abstract ( 930 )   PDF (536KB) ( 5755 )   Save
    Most scheduling problems assume that the job is produced in a single or batch mode, while in the real manufacturing environment, the job can be split. In order to solve the problem of splitting the job and making a reasonable scheduling scheme when considering the mold constraint, an optimized objective model of lot streaming in parallel machine scheduling with mold constraint is built for minimizing the makespan. Meanwhile, a mixed differential evolution genetic algorithm (DEGA), based on combination of genetic algorithm and differential evolution, is proposed to solve this model. It can implement parallel optimization of job splitting and scheduling problems. Numerical experiments and a realistic case are performed by DEGA, and the results indicate that the model and mixed algorithm are efficient and feasible.
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    Optimization of Efficient Hull Block Manufacturing Based on Improved Particle Swarm Optimization
    JIANG Ge, FENG Dinzhong, ZHU Weihang
    2018, 21 (3):  65-74.  doi: 10.3969/j.issn.1007-7375.2018.03.008
    Abstract ( 950 )   PDF (987KB) ( 5895 )   Save
    An optimization model of efficient ship hull block manufacturing scheduling is presented. The model seeks to drive the production with a pull system, balance the load, and shorten the production cycle. The hull block manufacturing schedule is usually restricted by the assembling and welding sites, operation equipment and working procedure. An improved particle swarm optimization algorithm is used to solve the optimization model with discrete and nonlinear variables. A real-world case study from a shipyard is taken as an example to verify the effectiveness of the model. The implementation is done in MATLAB. The computational experiment result shows that the optimization algorithm is effective in improving the hull production capacity and shortening the construction cycle.
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    A Study of the Standard Deviation Change in the Wafer Thinning Process Based on the Multiscale Estimation Theory
    LIU Yang, GAO Wenke, ZHANG Zhisheng, SHI Jinfei
    2018, 21 (3):  75-81.  doi: 10.3969/j.issn.1007-7375.2018.03.009
    Abstract ( 1176 )   PDF (723KB) ( 5659 )   Save
    Aiming at the wafer thinning process in memory card products' stacked package in its quality control and efficiency improvement, a basic problem in the wafer thinning process is presented by the variation for the measurement of the wafer thinning process. It is critical to monitor the process to detect process changes and further diagnose the process to determine the root causes of the changes. Firstly, a time series ARMA(autoregressive moving average)model has been built on analyzing the equipment productive throughput and operation time between failures data from the factory. The analysis is useful in problem prediction and maintenance. Then, through multiscale estimation theory, the detail coefficients of the data model have been derived. At last, the use of the method is discussed and an example is given. The experimental results reveal that the standard deviation changes of this manufacturing process have been detected in the 95% by CUSUM(cumulative sum)control chart on the detail coefficients of the model, which means the measurement of the wafer thinning process will be worse in the near future.
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    An Evaluation of Preventive Maintenance Quality of Buses Using Weighted Least Squares Method
    JIANG Renyan, CHEN Hao, CHEN Zhigao
    2018, 21 (3):  82-86.  doi: 10.3969/j.issn.1007-7375.2018.03.010
    Abstract ( 631 )   PDF (617KB) ( 5845 )   Save
    The failure point process data of a repairable system is fitted to the power-law model using a weighted least squares method so as to evaluate the quality of preventive maintenance actions. The used weight function is proportional to the normal density function, which assigns a large weight to the observation near the maintenance time and assigns a small weight to the observation that is far away from the maintenance time. For a real-world example, the evaluation results obtained from the weighted least squares method and the ordinary least squares method are compared. The results show that the weighted least squares method is better than the ordinary least squares method for maintenance quality evaluation.
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    Man-hour Prediction Method for Automobile Assembly Based on Assembly Similarity and Grey Model
    CHANG Jian'e, LI Shuai, MO Yimin, ZHANG Feng, WANG Tiansheng
    2018, 21 (3):  87-92.  doi: 10.3969/j.issn.1007-7375.2018.03.011
    Abstract ( 844 )   PDF (609KB) ( 5874 )   Save
    Automobile manufacturers speed up the launch of new products to meet the changing market demand. A man-hour prediction method for automobile assembly based on assembly similarity and grey model was put forward to solve the problem of slow prediction speed on mixed-model automobile assembly line. Assembly hour was classified into picking, positioning and coupling time by the characteristics, extracting key factors which influence assembly hour for each type. The similarity coefficient between the sample process and benchmark process was computed with factor database, constructing fitting curves in MATLAB combined with working hour data. The positioning and coupling time predictions were gained in the functional expression and GM(0, N) grey model. The accuracy and high-efficiency of proposed method was verified by comparing with Method-Time-Measurement.
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    An Optimization Design Method for APP User Experience of the Elderly Based on Genetic Algorithm
    LI Yongfeng, ZHOU Jun, ZHU Liping
    2018, 21 (3):  93-99,108.  doi: 10.3969/j.issn.1007-7375.2018.03.012
    Abstract ( 1123 )   PDF (1009KB) ( 5964 )   Save
    In order to improve the user experience (UX) of the smartphone application (APP) for the elderly, an optimization design method for APP UX of the elderly based on genetic algorithms is proposed. Firstly, literature research and focus group are employed to determine the design patterns of the elderly APP, and APP experimental samples are designed on the basis of the orthogonal design principles. Subsequently, a UX evaluation system is established, and analytic hierarchy process is used to determine the weights of UX evaluation criteria. After that, quantitative relationship between APP design patterns and users experience is built by using quantification theory type 1. Finally, genetic algorithm is adopted to obtain an optimal design solution. The mobile pay APP for the elderly is used as a case study, and the results suggest that the proposed method can effectively optimize the design for UX of the elderly APP.
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    An Improvement Research on Comfort of Dental Chair Based on Ergonomics
    LIU Lizhuo, ZHANG Wen, HE Ming, HAN Yuqi
    2018, 21 (3):  100-108.  doi: 10.3969/j.issn.1007-7375.2018.03.013
    Abstract ( 850 )   PDF (1023KB) ( 6086 )   Save
    In order to improve the comfort of dental patients in the dental chair, with the dental chair as a research object and ergonomics as the theoretical basis, the dental chair is modeled and simulated with the digital human by the software Jack. Emulating the main components of the dental chair of different sizes, such as the seat, back, head support and armrests, the comfort change of patients is analyzed, and the improvement design put forward. The result shows that a new designed dental chair model which fits the physical size of Chinese patients more perfectly can be built by redesigning the basic sizes of the dental chair, and the comfort of dental patients can be improved.
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About Journal
主管单位:广东省教育厅
主办单位:广东工业大学
主  编:唐立新
编辑部主任:傅惠
编辑出版:广东工业大学期刊中心
     《工业工程》编辑部
地  址:广州市东风东路729号
邮  编:510090
电  话:020-37626037
标准刊号:ISSN 1007-7375
     CN 44-1429/TH