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30 December 2018, Volume 21 Issue 6 Previous Issue    Next Issue

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A Research on Bi-Objective Exact Algorithm of Stowage Planning for Multiple Container Ports ZHENG Feifeng, MEI Qihuang, LIU Ming, ZHANG Xiaoning 2018, 21 (6):  1-6.  doi: 10.3969/j.issn.1007-7375.2018.06.001 Abstract ( 1118 )   PDF (476KB) ( 6016 )   Save Stowage planning is one of the most important issues during container transportation. One single bay is considered during the voyage, with the aim to minimize the shifting number and the loading balance on both sides of the bay, to keep the safety and stability of the ship as a constraint, and to establish a bi-objective optimization model of mix integer programming. In order to solve this problem and obtain the Pareto front, an Epsilon constrained algorithm is developed. The validity of the model is proved by practical instance. It is of great significance to the development of the port stowage planning of the Yangtze River in China. References | Related Articles | Metrics

A Research on Intelligent Scheduling Decision for Disturbance Job Shop Based on Ontology-CBR WU Zhengjia, TU Jingxin, HUA Lu, BAI Weicheng, LIU Xiufeng 2018, 21 (6):  7-15,22.  doi: 10.3969/j.issn.1007-7375.2018.06.002 Abstract ( 861 )   PDF (1141KB) ( 5807 )   Save In order to respond quickly to disturbance events and restore production stability, the intelligent matching technology of multi-type perturbation event ontology and workshop production scheduling case ontology were proposed. Firstly, the successful cases of dynamic scheduling in the past were standardized through the introduction of ontology technology, and the successful ontological case libraries and the self-improvement learning mechanism of the case libraries constructed. Then, the problem of the new perturbed production shop scheduling with the success stories of the case database were matched by Case-Based Reasoning (CBR) technology and similarity theory, and perturbation workshop intelligent auxiliary decision actualized based on the similarity degree of the threshold interval, which achieved the purpose of improving the decision-making process timeliness and shortening the decision-making time. Finally, the simulation results show that, compared with the traditional CBR and hybrid-driven scheduling strategy, the case retrieval accuracy of the ontology-CBR method is about 6% higher than that of the traditional CBR, and the decision time is 25 mins faster than that of the hybrid-driven scheduling strategy, so the case retrieval accuracy and response time are effectively improved. References | Related Articles | Metrics

An Open Shop Scheduling Problem Based on Memetic Algorithm CHEN Xiang, ZHU Chuanjun, ZHANG Chaoyong 2018, 21 (6):  16-22.  doi: 10.3969/j.issn.1007-7375.2018.06.003 Abstract ( 874 )   PDF (588KB) ( 6136 )   Save Aiming at the Open Shop Scheduling Problem (OSSP), a Memetic Algorithm (MA) is proposed to solve the problem. In the framework of the cultural Genetic Algorithm (GA), both global search and local search for the problem's own characteristics are provided. It provides a new algorithm for solving the open job shop scheduling problem. According to the thought and cultural characteristics of genetic algorithm, the method of climbing as a local search strategy into the genetic algorithm global search strategy is used, and a research of neighborhood structure is conducted on open shop scheduling problem, adding hill-climbing search method to solve the optimal. Based on the comparison of 40 standard examples, it is proved that the proposed algorithm has better performance in solving the scheduling problem with larger search space by comparing with lower bound values. References | Related Articles | Metrics

Learning by Formal Control Structures or Guanxi: Evidences from Chinese Engineering Project Partnerships YANG Suying, LIU Tao, LU Shaokai 2018, 21 (6):  23-30,39.  doi: 10.3969/j.issn.1007-7375.2018.06.004 Abstract ( 661 )   PDF (760KB) ( 5885 )   Save Through formal management mechanisms and Guanxi information needed for organizational learning can be obtained, but whether the two pronged approaches are still effective lacks theoretical and empirical support. To explore the impact of the joint use of formal management mechanisms and Guanxi on project team learning, a theoretical framework of different types of formal control structure, Guanxi and different types of learning performance are constructed. A questionnaire survey is conducted on 221 project managers of construction companies. The results of the hierarchical regression analysis using SPSS22.0 show that both formal control structure and Guanxi can promote the project team explorative learning(β>0.174, p<0.01), but Guanxi has no significant impact on project team exploitative learning:Process control has a greater positive effect than outcome control, and the effect of Guanxi and process control on project team learning has substitution effect(-0.124<β<0, p<0.1). In general, two pronged strategies of explorative learning are still valid, but are not conducive to exploitative learning. References | Related Articles | Metrics

A Defect Discovery Method of Vehicle Based on Social Media WANG Haijie, WU Qiong 2018, 21 (6):  31-39.  doi: 10.3969/j.issn.1007-7375.2018.06.005 Abstract ( 730 )   PDF (574KB) ( 5952 )   Save For the widespread and rapid information dissemination on social media, it is of great significance for automobile manufacturers to improve the product design and quality management. The current research on social media defect discovery can only mine a little part of valuable information and the approach is mainly clustering. Based on the existing research of defect discovery from social media, defect categories are extended according to the actual situation of the company; three feature selection methods are compared by Naïve Bayes classification method, and on the basis of this, a semi-supervised learning method using EM is applied. The experimental results show that the method proposed can effectively detect the vehicle defects to provide decision support for the defect management of the enterprise and reduce half the cost of manual tagging. References | Related Articles | Metrics

An Offset Simulation Optimization of Arterial Street Considering the Interaction of Multiple Intersections CAO Taotao, JIANG Yangsheng, ZHAO Bin, YAO Zhihong, TAN Yu 2018, 21 (6):  40-45.  doi: 10.3969/j.issn.1007-7375.2018.06.006 Abstract ( 931 )   PDF (1068KB) ( 6071 )   Save The traditional offset optimization method is based on adjacent intersections while it ignores the internal correlation of offset among multiple continuous intersections. In order to solve this problem, several offsets between multiple continuous intersection are taken as research objects, and through neural network an optimization model is established to describe the relationship between offset and arterial vehicle delay, and a genetic algorithm is used to gain the optimal offset scheme. Firstly, according to the survey data the simulation environment is built for different vehicle delay data corresponding to multiple offsets, and based on this, a neural network is used to fit the relationship between offset and vehicle delay. Secondly, to get the optimal offset scheme based on the neural network, a genetic algorithm is introduced. Finally, a simulation experiment is carried out to prove the model efficiency, and the model is compared with Synchro. The result shows that the proposed model can effectively improve the signal scheme, and the arterial vehicle delay can be decreased by 22.27%. References | Related Articles | Metrics

A Joint Optimization Decision of a Time-delayed Remediation Device with a Buffer HUANG Song, LYU Wenyuan 2018, 21 (6):  46-53,63.  doi: 10.3969/j.issn.1007-7375.2018.06.007 Abstract ( 681 )   PDF (1660KB) ( 5669 )   Save Taking into account the effect of the long downtime on the economic benefit of the enterprise, the buffer between the equipment is set up. At the same time, considering the lack of equipment maintenance decision model of single target, and the accurate degree of failure frequency expression influencing decision-making, borrowing from the theory of time delay, a joint decision model is established, by which the equipment can be repaired. In order to meet the production requirements of the equipment and the cost level of the optimized buffer production system, the total downtime per average unit time and the total cost per average unit time are respectively used as the objective function for study. Through the time delay theory, the process of fault formation is analyzed, and the fault number is expressed. Two objective functions are expressed by updating the remuneration theorem. According to the discrete iterative algorithm, the optimal inspection period and rated inventory are respectively 25 days and 1,195 pieces, and the total cost rate is 22,739.95 yuan when the downtime rate is 0.199. In addition, a sensitivity analysis is carried out to verify the optimal solution, and the result is used to guide production line maintenance management. References | Related Articles | Metrics

Optimal Pricing for Remanufacturing Closed-loop Supply Chain under Different Channel Power Structures and Product Dual Differentiation LIU Wenjie, SHEN Ningning, ZHANG Jing, GENG Sunyue, ZHU Yige, LIU Yong 2018, 21 (6):  54-63.  doi: 10.3969/j.issn.1007-7375.2018.06.008 Abstract ( 1126 )   PDF (1034KB) ( 5736 )   Save A research is undertaken on the pricing decision-making for remanufacturing closed-loop supply chain considering different channel power structure and product double difference. Firstly, a three-stage remanufacturing closed-loop supply chain model is constructed. Secondly, for different channel power structures, optimal pricing strategies of each member enterprise are proposed by means of Stackelberg game theory, and the impact of collection rate of waste products τ and substitution coefficient δ on them are also discussed. Finally, this pricing decision-making model is applied to a real case of automobile generator. The research results show that:1) For three types of channel power structure, when manufacturer/remanufacturer or retailer is respectively a leader of remanufacturing closed-loop supply chain, his own profits and total profit of the closed-loop supply chain shall be maximized. However, when the recycler is a leader, the opposite is true. 2) With the increase of recovery rate τ and product substitution coefficient δ, optimal wholesale price and retail price for new products and remanufactured products shall also increase correspondingly, while optimal recovery price of the used products shall decrease. Meanwhile, the total profit of this closed-loop supply chain approximately exhibits a U-shape pattern. This research can provide effective support for optimal pricing decisions of member enterprises. References | Related Articles | Metrics

A Research on the Two-way Subsidy Game Based on Manufacturer-Seller Supply Chain LIU Xinyi, ZHANG Yindan 2018, 21 (6):  64-71,90.  doi: 10.3969/j.issn.1007-7375.2018.06.009 Abstract ( 1175 )   PDF (1128KB) ( 5675 )   Save A game model is built for the heterogeneous supply chain cooperation in which the manufacturer provides the seller with advertising subsidies, and the seller provides the manufacturer with research and development subsidies. And two kinds of default risk solutions are proposed. The analysis demonstrates that the R & D input of the manufacturer is positively correlated with the marginal revenue, and the seller's advertising input is positively correlated with the marginal revenue. In the manufacturer's one-way subsidies game equilibrium, the relationship between the seller's subsidies for advertising and the manufacturer's subsidy coefficient is determined by the parameters and also in this equilibrium, the seller's advertising input is negatively related to the manufacturer's R & D spending, with the subsidy coefficient positively related to the manufacturer's marginal revenue and negatively related to the seller's marginal revenue. In the case of the game equilibrium of the two-way subsidy of the manufacturer-seller supply chain, the supply chain benefit is greater than that of the one-way subsidy game equilibrium. References | Related Articles | Metrics

Decision of Supply Chain with Supplier Participating in Carbon Emission Reduction under Carbon Labelling System SHEN Chengran, LIU Xiaoyuan 2018, 21 (6):  72-80.  doi: 10.3969/j.issn.1007-7375.2018.06.010 Abstract ( 1020 )   PDF (901KB) ( 5865 )   Save The decision of the supply chain with supplier participating in carbon emission reduction under carbon labelling system is studied. Considering consumer's low-carbon preference, three models are built:neither the manufacturer nor the supplier invests in carbon emission reduction (model N), only the manufacturer invests in carbon emission reduction (model M), both the supplier and the manufacturer invest in carbon emission reduction (model SM). The results show that the profits in model SM is higher than that in model N and in model M. Meanwhile, the carbon emission in model SM is lower than that in model N and in model M. Thus supplier's participating in emission reduction promotes both the environmental benefit and economic benefit. References | Related Articles | Metrics

A Study of Capacity and Structure of Agricultural Product Supply Chain with Cooperatives under Random Yield MAO Min, LI Qiyang, CAI Zhongjiao 2018, 21 (6):  81-90.  doi: 10.3969/j.issn.1007-7375.2018.06.011 Abstract ( 823 )   PDF (2890KB) ( 5828 )   Save A three-stage agricultural product supply chain competition and game model including farmers and agricultural cooperatives is developed which is dominated by the enterprise. Three kinds of farmer capacity selection strategies are proposed based on the horizontal Cournot competition and vertical Stackelberg game equilibrium solution, and the competition space of the downstream members participating in the game and the capacity of the supply chain are discussed. The results show that the strategy of optimal cooperatives profit is superior to the strategy of optimal social welfare, and the strategy of optimal total profit of supply chain is better than the strategy of optimal cooperatives profit in a certain range. The competition space of the downstream members participating in the game has an upper bound and a lower bound. The structure of the agricultural supply chain comes to equilibrium and the supply chain comes to the largest capacity under the upper bound. The strategy of optimal cooperatives profit gives the enterprises more competition space and the optimal social welfare strategy gives the cooperatives more competition space. References | Related Articles | Metrics

Conditions and Strategies of Physical Retailers Entering Rebate Network Channel GONG Yonghua, HAO Yi, XING Guangjun 2018, 21 (6):  91-97.  doi: 10.3969/j.issn.1007-7375.2018.06.012 Abstract ( 857 )   PDF (730KB) ( 5698 )   Save In the new retail era, physical retailers began to try to lay out dual-channel strategies by entering third-party rebate network platforms. From the perspective of pricing strategy and rebate strategy based on rebate network channels, a dual-channel sales model of retailers is built, the conditions for physical retailers to join the third-party rebate platform studied, the best selling price and the best rebate strategy provided by the third-party rebate platform to the consumers. Research shows that the physical retailers benefit from relatively low rebate commodity satisfaction rate. And with the increase of rebate commodity satisfaction rate, physical retailers adopt a strategy of selling goods only through rebate network channel, to a mix of two sales channels, and eventually to a single physical channel strategy. The higher the degree of acceptability of consumer on rebate network channel, the greater the enthusiasm for cooperation between physical retailer and the third-party rebate platform. Finally, the results are further analyzed by numerical simulation. References | Related Articles | Metrics

A Research on the Influence of Media Attention on the Corporate Social Responsibility Information Disclosure of the Pearl River Delta Listed Companies TANG Genghua, DU Jianmin, XU Weili 2018, 21 (6):  98-103.  doi: 10.3969/j.issn.1007-7375.2018.06.013 Abstract ( 715 )   PDF (373KB) ( 5424 )   Save Based on the panel data of 58 listed companies in the Pearl River Delta from 2012 to 2016, the influence of media attention on the Corporate Social Responsibility Information Disclosure (CSRID) of the Pearl River Delta listed companies is examined through empirical methods. The research shows that media attention significantly affects Corporate Social Responsibility Information Disclosure in general, and media attention is positively related to the CSRID of state-owned enterprises, while it is negatively related to the CSRID of non-state-owned enterprises. References | Related Articles | Metrics