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Table of Content

    30 December 2022, Volume 28 Issue 6
    Humanitarian Supply Chain
    Research on the decisions of loan assistance considering backup sourcingunder supply disruption
    SUN Huali, LI Zeping, ZHANG Xin
    2022, 28(6):  921-931.  doi:10.12066/j.issn.1007-2861.2453
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    We develop a supply chain consisting of a primary supplier, a backup supplier, and a leading retailer, and study the selection strategy of the retailer purchasing only from the backup supplier and providing loan assistance to the primary supplier for production recovery (the loan assistance combined with backup sourcing) under supply disruption. Considering the upstream primary supplier suffers from capital shortage in production recovery, the Stackelberg game model between the primary supplier and the retailer is developed to derive the optimal decisions of the enterprises in the supply chain. The impacts of the backup supplier's wholesale price, unit production recovery cost and loan interest rate on the optimal ordering decision of the retailer are analyzed. The numerical experiments show that the combination of loan assistance and backup sourcing enhances the anti-risk ability of the retailer and reduce the negative impact of the backup supplier's wholesale price on the retailer's profit.

    Evolutionary game model and simulation analysis of gas safety supervision considering the incidence of accidents
    WANG Xunqing, LIU Kun, SUN Xiaoyu, ZHONG Jinlin
    2022, 28(6):  932-945.  doi:10.12066/j.issn.1007-2861.2451
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    Gas safety is related to public health, public safety and social stability, and strengthening gas safety supervision not only involves safe production, but also is an important part of maintaining social safety. This paper considers the probability of gas accidents and establishes an evolutionary game model between gas companies and government regulatory departments. Based on evolutionary game theory, the evolutionary process of the choice of the main strategy of the two game players is studied, and the evolutionary stable equilibrium of the behavior strategy of gas enterprises and government regulatory departments is compared and analyzed, and the model is effectively analyzed based on numerical simulation. The results show that: ① The evolutionary stability strategy between gas enterprises and regulatory departments is related to the probability of gas accidents, and when the probability of gas accidents is greater than the sum ratio of full investment income and insufficient safety investment compensation, gas enterprises will adopt the safety investment strategy; ② Under the government reward and punishment mechanism, increasing the government's punishment and reward will prompt gas enterprises to adopt safe investment behavior, but increasing the punishment has a more significant impact on the safety investment behavior of gas enterprises than the reward, and at the same time, the increase in punishment and reward strength inhibits the government's strict supervision behavior; ③ When the penalty imposed by the higher level government on the supervision and responsibility of the local government supervision department is greater than the cost of the government department's supervision, it will prompt the local government supervision department to finally choose strict supervision; ④ With the increase of penalties imposed by higher-level governments, the impact on the choice of behavior strategies of local government regulatory departments is significant, but the impact on the choice of behavior strategies of gas enterprises is not significant. The research conclusions provide important decision-making support for government departments to effectively supervise gas safety production.

    Demand prediction of emergency supplies for earthquake disaster
    CHEN Tao, XU Yanrong, LONG Houyin
    2022, 28(6):  946-956.  doi:10.12066/j.issn.1007-2861.2455
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    Scientific, reasonable and accurate prediction of earthquake emergency supplies demand can provide a basis for rapid decision-making for the collection and scheduling of emergency supplies, so as to improve the efficiency of earthquake relief work. Based on the destructive earthquake disaster data in China from 2008 to 2020, we utilize the regression analysis to study the demand prediction of typical emergency supplies related to the affected population by the earthquake.The quartile method of the difference measure results is adopt to adjust the prediction results of the number of disaster victims through hypothesis inspection and model modification.The last, the quantity demanded of drinking water and clothes for emergency supplies are calculated. The experimental results show that the prediction model is instructive to reaching a rational and practicable level.

    Procurement mechanism of pharmaceutical cold chain transportation service based on online multi-attribute reverse auction
    WANG Yajuan, OUYANG Xiaodong
    2022, 28(6):  957-969.  doi:10.12066/j.issn.1007-2861.2454
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    Pharmaceutical cold chain transportation has the characteristics of high cost, timeliness, high coordination and complexity. A multi-criteria function based on the attributes of cost, transportation time, cargo damage rate and default rate was designed to determine the carrier's valuation. An online multi-attribute reverse auction mechanism was proposed, which made all the attributes that shippers cared about into the core procedures of auction allocation and payment, and provided method guidance for pharmaceutical cold chain shippers to customize multi-attribute transportation services. The research results proved that the mechanism satisfied incentive compatibility and individual rationality, and demonstrated its effect in practical application through an example. The designed mechanism not only met the needs of shippers, but also reduced the procurement cost, and promoted the safe, stable and effective development of pharmaceutical cold chain transportation services.

    Research Articles
    Digital trust regulation and the credit risk of small and micro transportation capacity enterprises' financing: evolutionary game analysis based on online freight platform
    PANG Ruiqi, CHU Xuejian, YANG Yubin
    2022, 28(6):  970-980.  doi:10.12066/j.issn.1007-2861.2452
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    Online freight platforms have been directly or indirectly involved in assisting the regulation of small and micro transportation capacity enterprises (SMTCEs) financing transactions. However, when choosing regulation strategies, these platforms must weigh the costs and benefits of adopting digital trust regulation methods versus traditional logistics regulation methods. Based on evolutionary game theory, this thesis statement utilizes dynamic game theory model testing correlations between online freight platforms and SMTCEs to analyze the influence of the financing regulation strategy, chosen by the platforms, on SMTCEs' credit risks. The research shows that digital trust regulation methods can help lower SMTCEs' default rates. When SMTCEs' financing cost is lower than the sum of compliance incentives and default penalties under the digital trust regulation, credit risks of financing can be mitigated effectively. In addition, bank incentives are considered in the game model for further discussion of the platform's choice of regulation strategy, and some recommendations are provided for banks to choose partners in loan cooperation.

    Supervision model and simulation of underground utility tunnel projects in smart cities
    MA Guanghong, WU Yi
    2022, 28(6):  981-995.  doi:10.12066/j.issn.1007-2861.2263
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    Underground utility tunnels are important bases for the development of smart cities. The quality and safety of utility tunnels directly affect the resilience of smart cities. Owing to the complex construction technology involved in building utility tunnels, multiple stakeholders, and asymmetric information, the general contractor can behave opportunistically. To improve supervision efficiency in utility tunnel projects, a supervision model based on prospect theory and evolutionary game theory was developed, and the main factors influencing government and general contractors' strategy choices were investigated. Given the limitation of punishment mechanisms in the prevention of opportunistic behaviours, a government incentive regulation model was further established, and the action mechanism of incentives on opportunistic behaviours under different risk attitudes of the contractors was analysed. The results indicated that the opportunistic behaviours of the general contractor were positively related to safe management, costs, and illegal income and negatively related to accident loss and punishment. The effect of government incentive regulation was influenced by the different risk preferences of general contractors. Punishment and incentive regulations were complementary.

    A two-echelon capacitated facility location problem with depot size selection
    WU Tingying, REN Yating, ZHOU Zhili
    2022, 28(6):  996-1007.  doi:10.12066/j.issn.1007-2861.2281
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    Facility location is a problematic point in modern enterprise production and operation management. Further, it is a decisive factor affecting enterprises' efficiency because of the shortage of facility capacity selection in the existing two-stage facility location study. This study introduced the optimisation decision technology of facility capacity selection simultaneously. The problem was predominately in opening plants and depots, selecting the size of depots, determining the product flows from the opened plants to the opened depots, and the customers' assignments to the opened depots to satisfy the customers' demands. A mixed-integer programming model to minimise the total cost was proposed. The Lagrangean relaxation (LR) approach and hybrid variable neighbourhood tabu search (HVNTS) algorithm were designed to solve this problem. A large number of instances were randomly generated and tested to evaluate the effectiveness of the proposed method. The results verified that this method could solve the problem of large-scale facility location with depot size selection.

    Risk consensus assessment of credit suppliers based on the FA-KM-GAHP model
    YU Siqin, Liu Zhongmin
    2022, 28(6):  1008-1021.  doi:10.12066/j.issn.1007-2861.2333
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    This paper combines factor analysis (FA) theory, the K-means (KM) model, and the group analytic hierarchy process (GAHP) to construct the FA-KM-GAHP models to investigate the group consensus assessment of credit suppliers. The results show that quick ratio, stability of product price, and product quality and complaints account for 28.12%, 15.85%, and 45.79% of the attributes' weight value, respectively. Credit supplier $D_2$ is superior to other suppliers by 13.82% to 57.36%. Based on these findings, suggestions for assessing and choosing credit suppliers are proposed, such as sharing the platform construction of risk consensus assessment using consortium blockchain technology.

    Corporate social responsibility management of supply chain based on differential game
    YANG Mingge, LI Ying, LIANG Xiaozhen
    2022, 28(6):  1022-1037.  doi:10.12066/j.issn.1007-2861.2253
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    In this paper, the impact of corporate social responsibility (CSR) goodwill on market demand was considered. For the cases of Nash non-cooperative game, manufacturer-led Stackelberg game, retailer-led Stackelberg game, and cooperative game, differential game models were constructed and the optimal level of CSR effort for the manufacturer and the retailer, the optimal trajectory of CSR goodwill, and the optimal value of profit was studied. Also, the correctness of the theoretical derivations was verified through numerical simulations, and some important results were obtained. First, the optimal subsidy rate of CSR cost is related to marginal profit and is unaffected by other factors. Second, compared with the Nash non-cooperative game, in the case of Stackelberg game, the leader subsidizes the CSR cost of the follower when the marginal profit of the leader is greater than half the marginal profit of the follower. Moreover, the optimal level of CSR effort for the leader remains unchanged, while the optimal level of CSR effort for the follower increases, so the profits improve for both the manufacturer and the retailer. Third, compared to the Stackelberg game, in the case of cooperative games, the optimal level of CSR effort improves for both the manufacturer and the retailer, and the profit also increases for the supply chain system.

    SEM and multi-agent simulation-based design change risk management in prefabricated construction
    DU Juan, WANG Wenxin, HU Min
    2022, 28(6):  1038-1050.  doi:10.12066/j.issn.1007-2861.2270
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    Design changes represent one of the main risk factors that affects the performance and safety of prefabricated building projects. Multi-stakeholder participation in prefabricated component supply chains involves a complex and changeable system, and information integration of each participant is difficult. This in turn makes it difficult for the project to achieve systematic and effective design change risk management and control. Based on the induction of design change risks and risk-causing factors, a method that combines a structural equation and multi-agent simulation model is proposed in this study. Management strategies are first proposed based on the identification of risk-inducing factors. The actual operational effects of these management strategies are then simulated to achieve an optimal allocation of resources. Based on a prefabricated construction project in Nanxiang Town, Shanghai, an ontology instance library is established, and the proposed management strategies by empirical analysis of the structural equation model are simulated through the multi-agent simulation model. The effects of the strategies on project cost and time performance are evaluated, and the feasibility and effectiveness of the model are verified.

    Design of green innovation management contract based on multi-task principal-agent model
    LIU Hongda, YU Liying
    2022, 28(6):  1051-1062.  doi:10.12066/j.issn.1007-2861.2241
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    The local government's effort in green innovation management directly affects the development of regional innovation. First, considering the dual functions of the central government's incentive and guidance and the local government's task of promoting independent and disruptive innovations, this paper constructs a multi-task principal-agent model between the central and the local governments. Second, this paper studies the relationship between the central government's incentive intensity and the innovation climate coefficient. It clarifies the factors influencing the incentive intensity, innovation climate coefficient, and the local government's effort level. Finally, the central government's incentive strategies are explored using a numerical simulation in the three stages of green innovation management. The results show that: support for local governments from external innovation is limited, and long-term central government incentives must be introduced. By eliminating external uncertainties, reducing the variable cost of innovation promotion, and controlling local governments' risk aversion, the local government can genuinely boost green innovation management. The more accurate the introduction time of the central government's choice of green disruptive innovation incentives, the more conducive it is to the maximization of green innovation management contract revenue. In the green independent innovation promotion stage, the incentive intensity increases as the marginal profit of innovation increases. In the green independent innovation driving green disruptive innovation stage, the incentive intensity of green independent innovation gradually decreases, and that of green disruptive innovation significantly increases. In the green disruptive innovation reconstructing green independent innovation stage, the differentiation between the two incentives is profound, and the process of green innovation is accelerated.

    Research progress on the relationship between blood brain barrier and central nervous system diseases
    SONG Ling, ZHAO Linlin, GUO Siqi, LI Huiling, ZHANG Jingyu
    2022, 28(6):  1063-1068.  doi:10.12066/j.issn.1007-2861.2315
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    The central nervous system receives the input information from all parts of the body, and becomes a coordinated motor outflow after the integration and processing of the central nervous system, or stored in the central nervous system to become the neural basis of learning and memory. Central nervous system is easy to be affected by pathogenic factors, and the main manifestation is mental disorders. At the same time, central nervous system degeneration can also occur. The blood-brain barrier can make the brain tissue less or even not damaged by harmful substances in the circulating blood, thus maintaining the basic stability of the brain tissue, which has important biological significance for maintaining the normal physiological state of the central nervous system. This paper summarizes and reviews the research progress of the relationship between blood-brain barrier and central nervous system diseases, in order to provide a new and more comprehensive theoretical basis for the prevention and treatment of central nervous system diseases.

    Relationship between late-time quantum complexity growth rate and free energy in AdS black holes
    SUN Wei, GE Xianhui
    2022, 28(6):  1069-1083.  doi:10.12066/j.issn.1007-2861.2314
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    The relationship between quantum complexity and free energy relation builds a bridge between the complexity action duality and complexity volume duality. The main purpose of this study is to investigate the universality of the quantum complexity and free energy relation by verifying in Bardeen-AdS black holes without singularities, charged black holes in $f(R)$ modified gravity, and Born-Infeld AdS black holes. The possibility of using quantum complexity as a probe in analysing phase transitions is evaluated. Finally, whether the late-time quantum complexity rates violated the Lloyd bound is verified.

    Soliton compression in nonlocal nonlinear media through shortcut to adiabaticity
    ZHANG Xiao, KONG Qian
    2022, 28(6):  1084-1093.  doi:10.12066/j.issn.1007-2861.2325
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    In recent years, shortcuts to adiabaticity (STA) had been proposed to accelerate slow adiabatic processes. In this study, based on the quantum-optical analogy, the rapid compression of solitons in nonlocal nonlinear media was investigated by combining the variational method and inverse engineering of STA technology. A comparison with the results of adiabatic compression showed that nonlocality had an inhibitory effect on nonlinearity. In addition, the greater the degree of nonlocality, the longer was the propagation distance required for adiabatic compression, thus making it more difficult to compress solitons in nonlocal media using adiabatic protocols. However, it was found that the STA protocol could still effectively compress solitons over a very short distance, thus showing the advantages of the STA protocol.

    Topological structure of free energy density of nematic liquid crystals
    ZHANG Canyu, YANG Guohong
    2022, 28(6):  1094-1105.  doi:10.12066/j.issn.1007-2861.2340
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    Through the investigation to the classical expressions of free energy density of nematic liquid crystal, a surface term was added to represent the free energy of defects in liquid crystals. By means of $\phi $-mapping method and topological current theory, the new expression of free energy density which was concentrated on the defects was studied. It is shown that the free energy density concentrated on the defects is topologically quantized in the unit of $\frac{1}{2}k\pi $, and the topological quantum numbers are determined by Hopf index and Brouwer degree. The configurations of molecules of liquid crystal around the different disclination strengths of defects are also given in this paper.

    Accelerated two-step modulus-based matrix splitting iteration method to solve the nonlinear complementarity problem
    CHENG Bing, WANG Guangbin, TAN Fuping
    2022, 28(6):  1106-1112.  doi:10.12066/j.issn.1007-2861.2346
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    In this paper, we construct an accelerated two-step modulus-based matrix splitting iteration method based on multiple splittings of the system matrix for the nonlinear complementarity problem. And we prove its convergence when the system matrix is an H-matrix with positive diagonal elements. Numerical experiments show that the proposed method is efficient.