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    28 November 2019, Volume 28 Issue 6 Previous Issue    Next Issue
    Regulatory Focus, Transactive Memory System and Opportunity Identification in Project Failure
    YU Xiaoyu, CHEN Yi
    2019, 28 (6):  1001-1013.  doi: 10.3969/j.issn.1005-2542.2019.06.001
    Abstract ( )   PDF (1201KB) ( )  
    Project failure is a crucial source for identifying entrepreneurial opportunities. Previous studies on the “regulatory focus-opportunity identification” relationship neglect the moderating role of team characteristics. In addition, few studies investigate the nature of entrepreneurial opportunities. Therefore, this paper explores the role of the regulatory focus of entrepreneurs on their opportunity identification in project failure., It particularly examines the moderating effect of the transactive memory system of the project team. The empirical results show that the promotion focus of an entrepreneur positively affects his opportunity identification, both the number and the opportunity innovativeness of opportunities identified, while the prevention focus of the entrepreneur has no significant effect on their opportunity identification. Additionally, coordination positively moderates the relationship between promotion focus and the number of opportunities. Specialization and credibility positively moderate the relationship between promotion focus and the opportunity innovativeness. The findings show that whether an entrepreneur can “turn failure into a success and regard it as an opportunity to move forward”, depends not only on the cognitive characteristics of the entrepreneur, but also on the cognitive characteristics of the project team. Finally, this paper discusses the theoretical and managerial implications of this study.
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    Influence of Entrepreneurial Orientation on Innovation Performance: Environment Dynamism as Moderator
    PENG Yunfeng, XUE Jiao, MENG Xiaohua
    2019, 28 (6):  1014-1020.  doi: 10.3969/j.issn.1005-2542.2019.06.002
    Abstract ( )   PDF (1058KB) ( )  
    Entrepreneurship and innovation have been regarded as the engine to stimulate vitality of enterprises and promote economic growth. In this paper, the impact of entrepreneurship orientation on innovation performance under dynamic regulation of external environment is verified. It is found that the three dimensions of entrepreneurial orientation, namely innovation, risk taking, and initiative, contribute to the improvement of innovation performance. In addition, market dynamism has a positive moderating effect on the relationship between innovation and innovation performance while competition intensity does not moderate the relationship among risk taking, initiative, and innovation performance.
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    Disruptive Innovation: Theory, Practice and Chinese Context
    CHEN Hui, SI Xiaofu, LIU Wan
    2019, 28 (6):  1021-1028.  doi: 10.3969/j.issn.1005-2542.2019.06.003
    Abstract ( )   PDF (1230KB) ( )  
    The disruptive innovation theory has become one of the most popular innovation theories since its establishment by Christensen in 1997. However, there are still a lot of misunderstanding and misuse in the extant research on disruptive innovation in China, and many other types of innovation are mistaken for disruptive innovation, which leads to a lot of confusion in disruptive innovation research and practice. Accordingly, this paper expounds the perspectives of definition, application principle, and key features of disruptive innovation by collecting, classifying and analyzing the literature of disruptive innovation in mainstream western journals. Besides, it proposes the judgment/recognition model of disruptive innovation based on its application and practice in Chinese context. In addition, it also applies two micro cases to compare and illustrate how to identify disruptive innovation. The purpose of this paper is to clarify the real connotation and basic characteristics of disruptive innovation, and to integrate the disruptive innovation theory into the Chinese context, so as to promote the development of the disruptive innovation theory and practice in the Chinese context.
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    How Does Migration Affect Subjective Well-being: Mediating Effect Based on Subjective Social Status
    ZHANG Yaxin, SUN Daxin
    2019, 28 (6):  1029-1040.  doi: 10.3969/j.issn.1005-2542.2019.06.004
    Abstract ( )   PDF (1119KB) ( )  
    Large-scale migration has always been the focus of academic communities in the context of urbanization in China. However, limited attention has been paid to the relationship between migrant behavior and subjective well-being of migrant individuals. Utilizing the database of China Labor Force Dynamic Survey (CLDS), this paper investigates the mediating mechanism of migrants’ perception of individual subjective well-being by using the propensity score matching (PSM) method. The results suggest that the behavior of migration significantly affects subjective well-being, while subjective social statue has a significant mediating effect on the relationship between migration behavior and individual subjective well-being. Finally, it discusses the theoretical contributions and practical implications of this paper and points out the direction for future research.
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    Performance Feedback and Corporate Venture Capital: A Study Based on Chinese Listed Companies
    GUO Rong, WEN Qiaotian
    2019, 28 (6):  1041-1056.  doi: 10.3969/j.issn.1005-2542.2019.06.005
    Abstract ( )   PDF (1256KB) ( )  
    Corporate venture capital(CVC) is a significant source of innovative technologies, products, and business modes, which is also a key component of a firm’s innovation strategy. However, CVC is a risk-taking behavior and its start-up and termination always seek balance among achieving strategic objectives, financial returns, and risk management. Based on the theory of corporate behavior, this paper explores the driving forces and situational factors of CVC decision-making from the perspective of performance feedback. By using the data of Listed Companies in China’s information technology industry from 2007 to 2015, it is found that when the actual performance is higher than the expected goal of the industry, the enterprise is satisfied with the current situation and the CVC intensity is reduced; when the actual performance is lower than the expected goal of the industry, the enterprise enhances the risk tolerance and the intensity of the CVC to improve the performance; external competitive environment and internal governance structure play a significant role in regulating the relationship between performance feedback and the intensity of CVC. A higher industry competitiveness will promote high-performance enterprises to carry out CVC activities. However, as the power of the board of directors becomes greater, the poor-performance companies will be restrained from pursuing CVC. Under the background of China’s economic transformation and industrial upgrading, this paper explores the driving factors for CVC behavior, enriches the research on enterprise innovation and adaptability, and provides a new perspective for the study of corporate venture behavior.
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    Modernization of National Governance and Strategic Restructuring of Enterprises
    WANG Xia, CHEN Lu
    2019, 28 (6):  1057-1066.  doi: 10.3969/j.issn.1005-2542.2019.06.006
    Abstract ( )   PDF (1127KB) ( )  
    As an external governance mechanism, public governance affects the strategic decision-making behavior of enterprises. The most prominent public governance reform in China at present is to build a modern national governance system. Based on the perspective of the nature of property rights and political connection, this paper examines the corporate strategic restructuring behavior after the change of national governance. On the whole, the evidence of strategic restructuring of Listed Companies in China since the modernization of national governance is found. Politically related enterprises can adapt to environmental changes and make timely strategic adjustments. State-owned property rights have promoted strategic restructuring of enterprises since the modernization of national governance, but the role it plays are mainly reflected in reducing the relational strategic expenditure. In terms of strategic expenditure, the initiative of strategic restructuring of state-owned enterprises is insufficient. The result of this paper can be used to evaluate the efficiency and effect of the modernization of national governance, provide experience for future reform and development, and provide countermeasures and suggestions for sustainable development of enterprises in the future.
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    Dynamic Agency and Corporate Finance in Constant Elasticity Process
    LUO Pengfei, GAN liu, YANG Zhaojun
    2019, 28 (6):  1067-1072.  doi: 10.3969/j.issn.1005-2542.2019.06.007
    Abstract ( )   PDF (1064KB) ( )  
    In this paper, the dynamic agency problem with constant elastic variance and corporate optimal capital structure are considered assuming that shareholder is risk-neutral and manager is risk averse. Besides, according to the dynamic programming and the capital asset pricing theory, the solution to the optimal contract and the values of corporate uncertain claims are provided. Moreover, the impact of constant elasticity on manager’s effort and corporate optimal capital structure are examined. The numerical analysis shows that managers in the corporates with a low constant elasticity make more effort, but the debt-overhang problem is severe. The optimal default threshold and the leverage ratio first decrease and then increase with the increase in constant elasticity. The corporate with a high constant elasticity has a higher credit premium.
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    Implied Risk-Neutral Skewness of ETF Option, and Rationality and Irrationality of Investor Sentiment
    HU Changsheng, CHENG Zhifu, CHEN Jing, CHEN Cong
    2019, 28 (6):  1073-1084.  doi: 10.3969/j.issn.1005-2542.2019.06.008
    Abstract ( )   PDF (1421KB) ( )  
    This paper studies the SSE 50ETF option, and examines the effect of market sentiment on the skewness of the SSE 50ETF. Different from previous related studies, this paper decomposes the market sentiments that may lead to the left-skewed implicit distribution of options, and empirically examines the principal components of sentiments that are decomposed, the relationship between the components, and the characteristics of left-skewed distribution. It investigates irrational sentiment which crosses the market between the underlying market and the derivative market to further explore the root causes of market instability. The findings reveal that the risk-neutral skewness of daily SSE 50ETF return is more (less) negative when irrational sentiment becomes more bullish (bearish). These relations are still significant and robust when the realized volatility and relative demand on option etc. are controlled. It means that it is not feasible to extract information of expectations for the future only from the SSE 50ETF option at present.
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    Measurement of Systemic Risk of Banking Industry Based on CCA Method with Time-Varying Volatility
    YUAN Jinjian, LIU Hailong
    2019, 28 (6):  1085-1094.  doi: 10.3969/j.issn.1005-2542.2019.06.009
    Abstract ( )   PDF (1378KB) ( )  
    Studies on systemic risk based on the traditional CCA method were undertaken within the BS framework. However, the results could be biased since the homoscedasticity assumption of BS model is inconsistent with reality. In this paper, the time-varying volatility of bank assets was characterized by using the asymmetric GARCH process, and the systemic risk was measured based on the GARCH option valuation model. Since existing studies on systemic risk mostly focus on the period of subprime crisis, the systemic risk of the banking industry from 2012 to 2016 was empirically analyzed with a sample of listed banks in China. The results show that systemic risk increases moderately at 2012 and at 2015 after the stock market crash, while it increases dramatically at 2016. The systemic risk indicator based on the traditional CCA method could not fully reflect the rise of systemic risk at 2015 and 2016. The systemic risk indicator of this paper is significantly better than that based on the traditional CCA method in predicting the dynamics of real economy.
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    Forecasting of Structure Breakthrough Points in Brent Crude Oil Futures Market
    LIN Yua, CHEN Zhanb, HUANG Dengshi, CHEN Yanxiangb
    2019, 28 (6):  1095-1105.  doi: 10.3969/j.issn.1005-2542.2019.06.010
    Abstract ( )   PDF (1288KB) ( )  
    There may exist a structure breakthrough point in Brent crude oil futures market due to the impact of financial crisis. In this paper, the hidden Markov model is introduced to forecast the volatility state in Brent crude oil futures market. However, there may exist some supposititious volatility structure breakthrough points based on the HMM model. Therefore, an ICSS-HMM-EGARCH model is built to re-forecast structure breakthrough points in Brent crude oil futures market based on iterated cumulative sums of squares, and the volatility state is then corrected. In order to test the reliability of forecasting structure breakthrough points by using the ICSS-HMM-EGARCH model, the volatility of Brent crude oil futures market is re-forecasted based on the corrected volatility state once again. Finally, the success rate is used to evaluate the forecasted volatility state, and the forecasted volatility is tested with the Diebold-Mariano model based on the root mean squared errors function. The empirical results show that there exist structure breakthrough points in Brent crude oil futures market and there exist supposititious volatility structure breakthrough points based on the HMM model, but the ICSS-HMM-EGARCH model can correct the supposititious structure breakthrough points effectively. The HMM-EGARCH model can obtain a more accurate volatility based on corrected volatility state. Therefore, the ICSS-HMM-EGARCH model is capable of effectively forecasting the structure breakthrough points in Brent crude oil futures market.
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    A Comparative Analysis of Main Board and Second Board Based on Order Flow
    2019, 28 (6):  1106-1115.  doi: 10.3969/j.issn.1005-2542.2019.06.011
    Abstract ( )   PDF (1086KB) ( )  
    This paper studies the relationship between order flow and stock return, as well as the effect of order flow on different plates in stock market. It is found that there exists a positive serial correlation in order flow. However, the impact will be different in different sectors of the market, and the positive correlation in the second board is more intense. A study of the relationship among the return rate of the main board market, the second board market, and the order flow, it is found that the main board market plays a strong leading role compared to the second board market. However, a study of the information content of the order flow across the market of the two boards, it is found that there is a certain process of investment transfer between the main board and the second board market. Besides, this paper further explains the direction of transfer and its influencing factors in order to provide reference for portfolio investment and market share allocation.
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    Bullwhip Effect and Inventory Deviation in Coal-Electricity Supply Chain with Uniform Distribution of Adaptive Bidding Factor
    HOU Linna, SUN Jingchun
    2019, 28 (6):  1116-1125.  doi: 10.3969/j.issn.1005-2542.2019.06.012
    Abstract ( )   PDF (1257KB) ( )  
    By constructing a two-level supply chain composed of a coal company and competitive power plants, this paper discusses the bullwhip effect in a coal- electricity supply chain and inventory deviation of power plants which adapt adaptive strategies with evenly distributed bidding parameters. The results show that not only the bullwhip effect but also the inventory deviation worsen when some power plants take the actual bidding prices in the last period as the bidding prices in this period. On the contrary, when the power plants pay more attention to the optimal bidding prices in the previous period, it will be helpful to restrain the bullwhip effect and inventory deviation. At this time, the consistency of bidding decision preferences is beneficial to weaken bullwhip effect and improve the state of inventory.
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    Robust Optimization for Emergency Location-Routing Problem with Uncertainty
    SUN Huali, XIANG Meikang, XUE Yaofeng
    2019, 28 (6):  1126-1133.  doi: 10.3969/j.issn.1005-2542.2019.06.013
    Abstract ( )   PDF (1125KB) ( )  
    In order to resist the damage caused by disasters and improve the rescue efficiency, both facility failure and path risk after emergency are considered, an emergency logistics system of three level network including the uncertainty in demand of multi-relief materials and the relief time by multi-mode transportation is studied. Besides, a model of emergency location-routing problem based on robust optimization is developed to minimize the total transportation time. CPLEX is used to solve the model. Moreover, the validity of the model is demonstrated by the numerical examples. The results show that the robust optimization can effectively deal with the uncertain demand and time, and can avoid the risk of facility failure. The robust model is more robust compared to the deterministic model. It provides an effective method to solve the emergency facility location and delivery emergency material timely.
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    Optimization Model of Energy Power Supply and Demand Network Dispatching Based on Blockchain
    HU Wei, YAO Wenhui
    2019, 28 (6):  1134-1142.  doi: 10.3969/j.issn.1005-2542.2019.06.014
    Abstract ( )   PDF (1649KB) ( )  
    Aiming at the difficulties in regulating energy and easily generating network loss in the traditional power dispatching process, a blockchain-based energy and power supply network scheduling optimization model is proposed. Based on the characteristics of decentralization, trustworthiness and transaction transparency of blockchain, the model of energy supply and demand network is established. Besides, the blockchain incentive mechanism is used to realize the coordinated control of distributed energy independent grid connection. Moreover, a scheduling optimization model is established based on the objective function with the lowest operating cost and the least active loss, and the collaborative co-evolutionary algorithm (CCEA) is used to solve the model. Furthermore, the energy supply and demand network is arranged through the POW consensus mechanism of the blockchain while the nodes perform distributed computing to achieve secondary verification and optimization of the scheduling scheme. The results of the example show that compared with the traditional power energy dispatching model, the proposed method can reduce the total operating cost by 9.9%, the active network loss by 3.5%, and improve the variance of daily load, which stabilizes the power system, providing decision support and theoretical support for optimizing energy and power dispatching problem.
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    Spatial-Temporal Heterogeneity of Innovation-Driven Development Performance in Dealing with Environmental Effects and Random Errors: A Case Study of High-Tech Industries
    HOU Jian, CHEN Jiancheng, CHEN Heng
    2019, 28 (6):  1143-1152.  doi: 10.3969/j.issn.1005-2542.2019.06.015
    Abstract ( )   PDF (1220KB) ( )  
    Based on the inter-provincial panel data of high-tech industries from 2009 to 2015, this paper. For the first time, this paper considers the environmental effects and random errors. Besides, it uses the SFA model to decompose and adjust the offset of input sample. Moreover, it combines the super-DEA technology to more effectively and truly reflect the innovation-driven development of high-tech industry and its spatial-temporal heterogeneity and source system. The results show that environmental factors have a significant heterogeneity effect on the performance of innovation-driven development of high-tech industry. On the whole, the adjusted innovation-driven performance of high-tech industry is still at a relatively low level from 2009 to 2015, and there is considerable room for development. The improvement of pure technical efficiency is significantly better than scale efficiency, which is the main source of impetus for the improvement of innovation-driven development performance. The performance shows a certain degree of growth in time, but the spatial difference is significant. It is urgent to lead industrial transformation of innovation-driven structure.
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    Optimization of Delivery Route and Package Pooling Center of Parts of Motor-Engine
    WANG Bin, JIN Jiaru, YANG Zhongzhen
    2019, 28 (6):  1153-1160.  doi: 10.3969/j.issn.1005-2542.2019.06.016
    Abstract ( )   PDF (2561KB) ( )  
    In this paper, the current situation of packaging and delivery logistics of the parts for motor-engine makers is analyzed. Based on marker’s demands, a mode of Milk-run delivery of the empty and loaded package boxes with the box pooling centers being built as the bases is designed. A model to locate the centers and optimize the parts delivery is developed with the aim for minimizing the total logistics costs. An algorithm is designed to solve the model and the impacts of the new mode on the parts delivery logistics costs are studied by sensitivity analysis.
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    Energy Intensity, Traffic Pressure and Haze Pollution: An Empirical Study Based on Static and Dynamic Spatial Panel Model

    LIU Xiaohong, JIANG Keshen
    2019, 28 (6):  1161-1168.  doi: 10.3969/j.issn.1005-2542.2019.06.017
    Abstract ( )   PDF (1109KB) ( )  
    This paper investigates the effects of energy intensity, traffic pressure, and energy structure on hazy pollution in the process of urbanization based on the static and dynamic spatial panel econometric model by using the panel data of 30 provinces and regions in China from 2003 to 2014, by using the spatial econometric method and geographic distance weight matrix, and by establishing static and dynamic spatial panel econometric models. It is found that haze pollution is of spatial correlation and there exists agglomeration in some areas. The spatial Durbin model with space and time fixed effects is the best of all. Both static and dynamic spatial panel models show that haze pollution has spatial spillover effects. There exists an environment Kuznets Curve between economic growth and haze pollution. Energy structure, traffic pressure, and pollution haze changes in the same direction. The energy intensity of spillover effect is negative. The dynamic spatial panel model is more appropriate and accurate than the static model, which reveals that the omission factors such as behavior custom also have a very important influence on haze pollution.
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    Assortment Decision of Horizontal Differentiated Products Based on Retailers’ Entry Order
    LANG Xiao, SHAO Xiaofeng
    2019, 28 (6):  1169-1177.  doi: 10.3969/j.issn.1005-2542.2019.06.018
    Abstract ( )   PDF (1112KB) ( )  
    In this paper, the horizontal different assortment competition problem is studied with two circumstances: two retailers enter the market sequentially or simultaneously. Retailers decide their product assortment and consumer demand following the MNL (multinomial logit) model, based on which the profit function of retailers is depicted. Besides, a gradually substitute method for solving the best response is constructed, the method for solving the equilibrium in the two circumstances is given, and the results of the two circumstances are compared. The condition under which the order of retailers’ entry into the market does not affect the equilibrium result is given. The numerical results verify the effectiveness of the theoretical model. The results show that the gradual substitution method is an effective way for solving the best response and the equilibrium solution. If retailers enter the market sequentially, the equilibrium solution is unique, and the total number of products offered in the market must be not less than that when the retailers enter the market simultaneously. When the fixed utility of a product satisfies some specified conditions, the equilibrium result has nothing to do with the order of retailers’ entry into the market.
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    Joint Ordering and Advertising Decisions Considering Temperature Sensitive Demand and Loss Aversion
    CAO Bingbing, FAN Zhiping, YOU Tianhui, LI Qi
    2019, 28 (6):  1178-1187.  doi: 10.3969/j.issn.1005-2542.2019.06.019
    Abstract ( )   PDF (1090KB) ( )  
    In the real world, temperature uncertainty and retailers’ psychological behaviors often affect the joint ordering and advertising decisions for temperature sensitive products. However, studies on this topic is still few and far between. In this paper, a method is proposed based on the utility model for joint ordering and advertising decisions concerning temperature sensitive demand with loss aversion. First, in consideration of the impact of temperature uncertainty on demand, a demand function for temperature sensitive products is provided. Then, in consideration of the loss aversion of retailers, a utility function for temperature sensitive demand is constructed, based on which, the optimal order quantity and advertising effort are determined by solving the model. Finally, by adopting sensitivity analysis, the impacts of average temperature in the selling season, the temperature sensitive parameter, and the loss aversion parameter on retailers’ optimal order quantity, optimal advertising effort, and optimal retail price are analyzed. The results show that the average temperature in the selling season, the temperature sensitive parameter, and the loss aversion parameter can affect retailers’ optimal policy to varying degrees.
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    Impact of ‘Virus’ Marketing Strategy on the Newsvendor Problem
    LI Feng, Lin Ning , WEI Ying
    2019, 28 (6):  1188-194.  doi: 10.3969/j.issn.1005-2542.2019.06.020
    Abstract ( )   PDF (1242KB) ( )  

    This paper studies the impact of the ‘virus’ marketing strategy on the classical newsvendor problem. In the market, the relationships between all consumers form a so called ‘small-world’ social network. Therefore, the firm proposes to startup a virus marketing practice on this social network. Besides, to find a source node to diffuse word-of-mouth, the firm also needs to make decision on the order quantity to maximize the profit. The simulation results show that the solution based on mathematics analysis overestimates the demand and leads to a serious loss of profit. More importantly, the results reveal that the firm could benefit efficiently from tighter relationships, better acceptance among consumers, and the decrease in unsold cost of unit product. In addition, closeness centrality by social network analysis is a better method to choose a source node for virus marketing on small-world network.

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    Inventory Optimization in Different Market Environments Based on Activ Disturbances Rejection Controller
    REN Qingzhong, XU Jing
    2019, 28 (6):  1195-1201.  doi: 10.3969/j.issn.1005-2542.2019.06.021
    Abstract ( )   PDF (1119KB) ( )  
    Due to the time-varying and uncertain market demand, it is extremely difficult to select the control strategy in the production and inventory control problem. In the production inventory problem, because of the time-varying and uncertain market demand, it is difficult to select the control strategy based on the accurate theoretical model. Active disturbances rejection controller(ADRC) is a model-independent controller which has a good robustness and adaptability for the controlled systems with non-linearity, long time delay, and high uncertainty. Based on a classical inventory model, this paper investigates production strategies in different market environments based on ADRC. The results indicate that when the sales function is a deterministic one, the production control strategies given by ADRC are in good agreement with the optimal solutions. When there exist uncertainty disturbances, ADRC can still give satisfactory production strategies according to the errors between predictive value and the actual value. ADRC is more operable and controllable in solving actual inventory control, which can be a new and powerful tool for uncertain optimal control problems in the field of economic management.
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    Contingency Police and Operation Simulation of Supply Chain Disruption with Changing Demand
    ZHANG Yibin, LONG Jing, CHEN Yu
    2019, 28 (6):  1202-1210.  doi: 10.3969/j.issn.1005-2542.2019.06.022
    Abstract ( )   PDF (1443KB) ( )  
    In recent years, supply chain disruption risks caused by large-scale major events (activities) in metropolis have increased, which poses challenges to supply chain management. In the case of supply chain disruption with changing demand, a production-inventory system consisting of raw material suppliers, manufacturers, and contingency suppliers for outsourcing finished products is affected by some variables such as disruption parameters, demand lost rate, and transfer delay of core technology. To find the optimal contingency polices, a system dynamics model was introduced to simulate its operations under supply disruption risk and optimize the “order-up-to-level” inventory and the whole profit objective function. It was found that when the length of the interrupt cycle is different, the market demand lost rate varies with the length of the delivery disruption, which impacts the choice of contingency polices on supply disruption risk. Besides, the loss of long-term profit can be reduced by adjusting the level of contingency inventory and shortening the delay of contingency decision information.
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