关键词: 物流服务供应链, 物流服务集成商, 物流服务提供商, 安全生产行为, 计算实验

Abstract: Recently, increasing logistics demand has led many large logistics enterprises to cooperate with small and medium-sized logistics enterprisesin various ways. So logistics service supply chain composed of functional logistics service providers and logistics service integrator has come into being. However, due to the low threshold of the logistics market, production safety of many small and medium-sized logistics enterprises cannot meet the standard, which is very likely to cause accidents. As the core of the entire logistics service supply chain, integrator’s reputation and customer will be negatively affected.Therefore, as the organizer and leader of various logistics activities, it is an urgent problem for integrators to design effective management strategies to regulate the production safety behavior of their logistics service providers.However, the theoretical and practical studies that consider the participation of logistics service integrators in the production safety behavior management of logistics service providers in the chain from the perspective of logistics service supply chains are rare. In addition, the nonlinear and dynamic interaction among logistics service providers, integrators and customers also makes the research of providers’ production safety behavior face the challenge of complexity.
Based on this, this study uses computational experiment to explore evolution rule of logistics service providers’ production safety behaviors under the management of their integrator. The purpose of this study is to explore effective and economic strategies of the production safety management of integrators to providers, and put forward some new solutions to help small and medium-sized logistics enterprises change dilemma of accidents. At first, this paper extracts the factors that affect the production safety behavior of logistics service providers under the management of logistics service integrators in reality, including integrator’s safety factor weights in the order allocation strategy, production safety evaluation standard and security risk deposit. And on this basis, it sums up the influencing mechanism of different factors on the providers’ production safety behaviors. Finally, the computational experiment model of providers’ production safety behaviors under the management of the integrator is constructed. By designing experimental scenarios and setting experimental parameters, Netlogo is used to explore the evolution law of logistics service providers’ production safety behavior and logistics service integrators’ revenue under different scenarios. This study draws the following conclusions:
(1)Logistics service integrators can promote logistics service providers to actively engage in production safety activities and promote healthy competition between them by increasing the safety factor weights in order allocation strategy.
(2)When customers are of limited safety preference, it is difficult for logistics service integrators to continuously gain an advantage in earnings by increasing the weights of safety factor. Therefore, integrators also need to provide technical guidance and assistance to providers to help them improve their output efficiency of production safety inputs.
(3)When production safety evaluation standard exceeds providers’ acceptable threshold, their production safety will be reduced. Therefore, integrators should fully consider providers’ production safety capabilities and reasonably set production safety evaluation standard.
(4)Asking for security risk deposit from providers can improve their production safety, but its effect is limited. Therefore, integrators can ask for security risk deposits from providers in advance and should only regard it as an auxiliary strategy of production safety management.

Key words: logistics service supply chain, logistics service integrator, logistics service provider, production safety behavior, computational experiment