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    30 April 2019, Volume 22 Issue 2 Previous Issue    Next Issue
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    Cloud Service Supplier Recommendation based on User Personalized Preference
    YU Chunxia, LIU Yuru, GAO Xu
    2019, 22 (2):  1-9.  doi: 10.3969/j.issn.1007-7375.2019.02.001
    Abstract ( 1029 )   PDF (565KB) ( 5755 )   Save
    At present, it is difficult for users without professional knowledge to choose a cloud service provider that meets their preference. To solve this problem, a cloud service provider recommendation model based on users' preferences is proposed. The model is composed of three parts. The first part is to determine and measure the user's preferences for cloud services from the perspective of user through the fuzzy evaluation. The second one is to identify and measure suppliers' capacity to meet the user's needs from the perspective of cloud service providers through the fuzzy evaluation and entropy weight method. The third is to measure the similarity of user and candidate suppliers using the similarity distance formula, and provide recommendation to the user. Experimental results show that, compared with the traditional recommendation, the proposed model can recommend cloud service providers that meet the needs of users according to their evaluation of various cloud service indicators, improving the accuracy in the process of choosing cloud service providers.
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    Pricing Strategy for Perishable Product with Consumer Strategic Behavior under Demand Uncertainty
    LI Hao, GAO Xiang, YANG Xi
    2019, 22 (2):  10-18.  doi: 10.3969/j.issn.1007-7375.2019.02.002
    Abstract ( 1191 )   PDF (704KB) ( 5648 )   Save
    Dynamic pricing and price commitment for perishable product company with consumer strategic behavior and demand uncertainty is studied. A game model with incomplete information is proposed to analyze the Perfect Bayesian Equilibrium of the two competitive companies in the two strategies, and obtain the equilibrium prices as well as expected profits. Numerical experiments are given to compare the optimal allocations of the two strategies, and discuss the influence of the demand anticipation, the degree of consumers' strategy, and the buying intention of consumers on the equilibrium. It is showed that under the dynamic pricing strategy, when the market is in moderate competition, the greater the degree of customers' strategy, the greater the profit. Moreover, dynamic pricing is preferred over price commitment when the buying intention of consumers is moderate, and price commitment is better when the degree of consumers' strategy and the demand anticipation are both large or the degree of consumers' strategy is moderate.
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    Work-Safety Strategies Evolution of Small and Medium-Sized OEM Enterprises in Supply Chain
    ZHONG Jingjing, MEI Qiang, ZHOU Qiaomei
    2019, 22 (2):  19-28.  doi: 10.3969/j.issn.1007-7375.2019.02.003
    Abstract ( 820 )   PDF (1050KB) ( 5529 )   Save
    The evolutionary rules of work-safety strategies of small and medium-sized OEMs in supply chain are explored. An evolutionary game model, which depicts mutual interactions of different work-safety strategies from core enterprises and small and medium-sized OEMs, is built to analyze the existence and stability of system equilibrium points. The influence from different initial conditions of two agents and different parameters' variations is demonstrated through numerical simulation. It is found that different payoffs affect the stability of equilibrium and the evolutionary trend, and that the system evolves into two different patterns which are respectively "strict supervision and strict compliance" and "loose supervision and perfunctory compliance". It is feasible to make the system evolve to the former desired pattern through modifying payoffs, avoiding the latter undesired pattern. Based on the conclusion drawn in this research, it's likely to improve work safety condition of the whole supply chain by encouraging core enterprises to strictly supervise small and medium-sized OEMs.
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    A Research on Risk Perception and Trust Transfer between Online and Offline Channels
    ZHANG Zijian, ZENG Wen
    2019, 22 (2):  29-34,88.  doi: 10.3969/j.issn.1007-7375.2019.02.004
    Abstract ( 989 )   PDF (836KB) ( 5769 )   Save
    How to transfer the accumulated trust of offline consumers to good perception of online products is the key issue to promote offline enterprises to expand online channels. Based on the difference of perceptive risk between consumers online and offline, trust transfer and pricing in the channels have been researched. Taking online consumer trust when channel extends as the object of research, consumer utility function influenced by perceptive risk and online trust level has been constructed, Stackelberg game model established and the relationship of pricing vs. online trust level and the principal decisive elements of trust transfer between channels discussed. Research result shows that, with the online trust level increasing, the price offline would be decreased, the market demand offline would be reduced and the market demand online increased, the profit of manufacture increased and the profit of retailer decreased. In addition, the effort of manufacture for online trust transfer would be decreased with the product performance fluctuation increasing, deceased with the cost coefficient of trust transfer increasing and increased with the differ of cost between online and offline increasing.
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    An Evolutionary Analysis of Supply Chain Financial Cooperation Strategy between Banks and E-commerce Platforms Considering the Network Effect
    LI Xiaoli, CHENG Shuo
    2019, 22 (2):  35-41.  doi: 10.3969/j.issn.1007-7375.2019.02.005
    Abstract ( 1277 )   PDF (533KB) ( 5539 )   Save
    In order to analyze the strategy selection in the cooperation process of supply chain finance between banks and e-commerce platforms under network effect, the evolutionary game models of both parties considering and not considering network effect are constructed respectively. The results show that when considering the network effect, as the transformation level of the effect reaches a certain level, it will have a certain substitution effect on the income sharing level of the e-commerce platform. In other words, compared with the case where the network effect is not considered, the e-commerce platform will choose a cooperation strategy with a lower level of revenue sharing. Therefore, improving the network effect in the cooperation can promote a longer-term cooperation between the two sides, while realizing the complementary advantages and reasonable allocation of resources.
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    Reverse Channel Choice in a Closed-loop Supply Chain with Extended Warranty Service
    DAN Ying, DAI Ying, MA Zujun
    2019, 22 (2):  42-48.  doi: 10.3969/j.issn.1007-7375.2019.02.006
    Abstract ( 1275 )   PDF (567KB) ( 5536 )   Save
    To solve the problem of reverse channel choice in a closed-loop supply chain (CLSC) with extended warranty service, six decentralized CLSC models are developed by combining three typical reverse channel formats (i.e., manufacturer collecting, retailer collecting, and third-party collecting) and two kinds of extended warranty providers (i.e., the manufacturer or the retailer). For each scenario, the optimal decision on reverse channel choice and its impact on CLSC decisions are examined based on game theory. The results show that whether the manufacturer or the retailer offers the extended warranty, it is best for the retailer to collect used products. In this context, the manufacturer, the retailer and the whole CLSC all can get their maximum profits and the product return rate is the highest.
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    Inventory Optimization Strategy for Dual-channel Supply Chain with Defective Products
    WAN Peng, SONG Naixu, YUAN Piye, XIE Yawen
    2019, 22 (2):  49-56,66.  doi: 10.3969/j.issn.1007-7375.2019.02.007
    Abstract ( 1057 )   PDF (1044KB) ( 5747 )   Save
    In order to study the inventory optimization problem of dual-channel supply chain, a dual-channel supply chain system of defective goods consisting of an online retailer and a traditional retailer is considered. It allows different retailers to rebalance the inventory level by lateral transshipment strategy, introducing customers switching between channels, and using Markov chain to depict the retailer's inventory status. Finally, a minimum inventory cost model is established, which is solved by genetic algorithm. By comparing the two schemes of allowable transshipment and non-allowable transshipment, it is concluded that in the dual-channel supply chain of defective products, the inventory and total cost can be reduced by adopting transshipment strategy between two channels; and that with the increase of customers switching probability and product defect rate, the system performance induced by the transshipment strategy is decreased.
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    Optimization of Two Echelon Equipment Spare Parts InventoryAffected by Demand Correlation
    LUO Wei, FU Zhuo, DONG Wei
    2019, 22 (2):  57-66.  doi: 10.3969/j.issn.1007-7375.2019.02.008
    Abstract ( 1038 )   PDF (858KB) ( 5929 )   Save
    The multi-echelon inventory model of spare parts is usually based on the assumption that spare parts demand is independent of each other, but with the increase of inventory system level and the application of collaborative management, the correlation of spare parts demand will significantly affect the inventory optimization decision. Aiming at the problem of spare parts inventory where demands are relevant, a two-echelon inventory decision model for spare parts is established with the constraint of service response time and the goal of minimizing the inventory cost and shortage cost. The Nataf probability transforming is applied to construct the random samples which meet designated correlation condition and probability distribution from obtained marginal probability density function, and the Monte Carlo simulation and genetic algorithm are combined to solve the optimal inventory allocation scheme. Simulation result shows that, the optimal decisions of spare parts inventory change with the increase of correlation coefficient of demand. Adjusting the inventory decision appropriately according to the changes of demand correlation will help reduce the total cost of spare parts inventory system and improve the responsiveness of the inventory system to customer needs.
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    On the Function of Pattern Recognition of Mixed Attribute-Based Generalised Grey Target Decision Method
    MA Jinshan
    2019, 22 (2):  67-72.  doi: 10.3969/j.issn.1007-7375.2019.02.009
    Abstract ( 754 )   PDF (468KB) ( 5602 )   Save
    The function of pattern recognition of the generalised grey target decision method for mixed attributes is investigated. Thus, the theory framework of pattern recognition is proposed for the method which has its characteristics:variable target centre index, open and extensible decision-making basis (target centre distance). The theory framework goes as follows. First, the characteristics of standard patterns (regarded as the target centre index vectors) and the researched objects are determined; second, all mixed attribute values are converted into binary connection numbers (viewed as the index vectors); third, the generalised target centre distances between the researched objects and the target centre indices are calculated; and finally, the researched objects are recognised as some special patterns relying on the comprehensive weighted proximities. The application shows that the two investment enterprises y1 and y2 could select their suitable investment patterns S3 and S2 respectively (corresponding to their comprehensive proximities as 0.4270 and 0.2375 respectively).
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    Construction and Empirical Research of Knowledge Context Model based on Requirement Hierarchy Analysis
    WU Yinan, ZHAN Hongfei, YU Junhe
    2019, 22 (2):  73-81.  doi: 10.3969/j.issn.1007-7375.2019.02.010
    Abstract ( 857 )   PDF (611KB) ( 5703 )   Save
    Knowledge context is closely related to the performance of business problems. However, there are few researches on the effect of knowledge context on performance of business progress. Based on the Maslow's hierarchy of needs, adopting the method of literature research, enterprise visits and numerical analysis, a knowledge context model is put forward including the four dimensions of hierarchical needs (leader competency, teamwork atmosphere, site management, performance management), using the research data to empirically study how the knowledge context affects the performance of business progress. It is revealed that the psychological needs play regulatory roles between knowledge context and business execution performance. This research has important value in expanding the basic theory of knowledge management and enhancing the performance of enterprise knowledge management.
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    practice & application
    Transportation Model Selection for the Logistics System Considering Integration of Warehousing and Transportation
    DING Xuefeng, GAO Qian, GAO Pan
    2019, 22 (2):  82-88.  doi: 10.3969/j.issn.1007-7375.2019.02.011
    Abstract ( 1006 )   PDF (653KB) ( 5766 )   Save
    In order to reduce the negative influences of "Trade-off" between inventory cost and transportation cost, the problem of transportation mode selection when there is a limitation of loading capacity is studied. By referring to the economic order quantity (EOQ) model, an economical transport quantity method is also proposed, of which inventory cost and transportation cost are both taken into account. Study shows that the optimal cost of the integrated system of warehousing and transportation is a piecewise function which depends on logistics demand rate; when the loading capacity is infinite, the scale transportation effect of the railway outperforms that of road transportation; when the loading capacity is a constant, the relationship of logistics demand rate and loading capacity, unit transportation cost and inventory cost, should be considered comprehensively when selecting a transportation mode. The proposed method provides a theoretical reference for the carrier to choose the transportation mode.
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    A Research on Routing Optimization of Cold Chain Distribution based on Green Supply Chain
    TAO Dihao, LIU Rong, LEI Yongjie, ZHANG Qiaoxin
    2019, 22 (2):  89-95.  doi: 10.3969/j.issn.1007-7375.2019.02.012
    Abstract ( 2196 )   PDF (561KB) ( 5823 )   Save
    In view of the cold chain logistic distribution routing optimization, based on the concept of green supply chain and the characteristics of the cold chain logistics distribution process, the fixed cost of the vehicle, the fuel cost of the distribution process, the freight loss cost of the distribution process and the carbon emission cost were analyzed, and a mathematical model was constructed with the minimum sum of the above costs as the optimization target. The global artificial fish swarm algorithm was applied to the model. Finally, the Matlab software was used to solve the specific case and the total cost is 4,456 yuan. The result of the case shows that the mathematical model and global artificial fish swarm algorithm have certain theoretical guidance and reference value for solving such problems.
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    A Research on Order Batching Problem of Panel Furniture Enterprises
    CHEN Xuanrui, CHEN Qingxin, MAO Ning
    2019, 22 (2):  96-102.  doi: 10.3969/j.issn.1007-7375.2019.02.013
    Abstract ( 1111 )   PDF (541KB) ( 5811 )   Save
    In order to reduce the preparation time of the edge-sealing process of the panel furniture enterprise, improve the utilization rate of the raw materials and rapidly meet the need of order batching, the order-batching problem is studied and a method of order batching optimization is proposed. Based on the definition and mathematical description of the batch problem, a mathematical model of the double-objective problem is established. In order to verify the performance of the algorithm and evaluate the scheduling rules, the algorithm generation method of this kind of problem is designed, and the method of this research and the ten other rule algorithms constructed are applied to the generated examples for simulating. The results of simulation scheduling show that the scheduling rules based on plate color and plate thickness can effectively reduce the preparation time of the edge-sealing process and improve the utilization rate of raw materials.
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    A Case Study of the Implementation Strategy of Informationization of Sub-companies in Group Environment
    ZHOU Yuejin, WANG Shuhan
    2019, 22 (2):  103-109.  doi: 10.3969/j.issn.1007-7375.2019.02.014
    Abstract ( 731 )   PDF (555KB) ( 5660 )   Save
    A study is conducted in the decision-making of the sub-companies carrying out informationization under the environment of the group. The five forces model and the grey fuzzy comprehensive evaluation model are used to evaluate the present status of the sub-company. Then, based on the benchmarking theory, a benchmarking analysis is carried out to find the gaps between the group's requirements and the sub-company's informationization status. The project sets of information systems are determined combining the group's requirements and the sub-company's business needs. And then, the project sets of information systems are sorted by the entropy multi-objectives decision method and an implementation road map is derived. Finally, the initial effectiveness is obtained and verified with this strategy meeting the both the group's requirements and the sub-company's business needs.
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