基于VMI-Hub模式的装配系统协同运作决策研究
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摘要
随着经济全球化和市场竞争日益激烈,供应链中供应环节的不确定性大大增加,供应链装配系统的协同运作越来越受到学术界和企业界的重视。本文以供应链装配系统为主要研究对象,综合运用运筹学、管理学、统计学、系统动力学、系统决策理论、随机优化理论和优化智能算法等一系列现代科学理论和方法,将理论分析与实证研究、定性分析与定量决策相结合,从全局出发比较系统地研究了基于VMI-Hub模式的装配系统协同运作决策问题。
首先,提出了基于VMI-Hub的装配系统协同运作组织模式。从理论分析的角度,研究VMI-Hub物流组织模式和协同运作方式,明确基于VMI-Hub的典型运作模式的运营主体,构建其主要的物流协同运作流程和方向模型,探讨VMI-Hub模式物流协同运作的驱动力和VMI-Hub模式的价值体现。
其次,分析了基于VMI-Hub的供应链装配系统协同运作绩效,对装配系统中的传统批对批补货模式、“循环取货”的批对批补货模式以及基于VMI-Hub的协同补货运作模式进行了系统建模,并采用算例对三种情况下的绩效进行了比较,分析出VMI-Hub运作模式的作用和价值。在此基础上,通过实证研究了VMI-Hub模式下伙伴关系、信息共享与运作绩效之间的关系。研究结果表明在VMI-Hub模式下,伙伴关系对信息共享有显著地正向影响,伙伴关系对装配系统运作绩效也有显著地正向影响,信息共享对装配系统运作绩效有正向影响。
再次,在VMI.Hub运作模式下,引入生产库存控制模型(Automatic Pipeline, Inventory and Order Based Production Controlling System,APIOBPC S),构建了PI-APIOBPCS系统,其能有效地消除了库存偏差；进一步构建了PID-APIOBPCS系统,数值分析显示其不仅能消除由“生产时间估计误差”所造成的库存偏差,而且能够抑制生产率和库存水平波动扩大。
然后,构建了基于VMI-Hub装配系统协同补货决策模型。在对原模型转化为一个一维的寻优问题后,求解出了最优的订货批量和各供应商零部件的最优订货点。为了使得VMI-Hub能进行协同补货,提出了惩罚和奖励机制,数值分析说明通过调整各供应商的惩罚因子和奖励因子可以显著提高供应商协同补货的积极性,从而提高整个装配系统的服务水平。
最后,引入管理实践中客观存在的VMI-Hub库存责任期,从VMI-Hub的库存水平控制与“责任期设定”两个维度考虑,研究了考虑责任期的VMI-Hub库存控制决策模型。从时间的维度上建立了供应商和制造商的主从博弈模型,分别针对双方的决策模型求最优解,得到供应商和制造商在分散决策下的最优决策点,并将其与集中决策下整体绩效的最优决策进行了一定地分析和比较。
With the economic globalization, market competition intensification and supply chain uncertainty greatly increased, the collaboration of an assembly system in supply chain has been attached more and more importance to by academic and business circles. Regarding assembly system in supply chain as our object, decision-makings of collaborative operation in the assembly system based on VMI-Hub are considered comprehensively and systematically, combined with empirical research and theoretical analysis, qualitative reasoning and quantitative judgement and by using management, operations management, system dynamics, system decision theory and optimization modeling methods synthetically.
Firstly, a collaborative operation organization model of assembly system based on VMI-Hub is proposed. From the aspect of theoretical analysis, logistics organization model and collaborative operation mode of VMI-Hub are analyzed. Furthermore, operation subject of VMI-Hub is elaborated and collaborative operation flow and direction model are constructed. Besides, the driving force and the value of VMI-Hub are also discussed.
Secondly, the collaborative operation value of assembly system in supply chain based on VMI-Hub is analyzed. Then traditional batch-to-batch replenishment model、 Milk-run replenishment model and collaborative replenishment operation model in assembly system based on VMI-Hub are established. The performance of the three cases is compared and role and value of VMI-Hub operation model are analyzed. On this basis, empirical research has been done on the relation between partner ships, information sharing and operation performance under VMI-Hub mode. The results show that under the mode of VMI-Hub, partnerships have significantly positive effects on information sharing and operations performance in assembly system. However, information sharing has a positive effect on assembly system performance.
Thirdly, in the VMI-Hub operation mode, Automatic Pipeline, Inventory and Order based Production Control System is introduced, and PI-APIOBPCS model is constructed, which can effectively eliminate the stock deviation. Furthermore, PID-APIOBPCS system is constructed, and numerical analysis shows that it can not only eliminate the "production time estimation error" caused by the deviation of inventory, but also can inhibit the fluctuation of productivity and inventory.
Fourthly, the collaborative replenishment decision-making model based on VMI-Hub in the assembly system is established. After the original model turned into a one-dimensional optimization problem, the optimal order quantity and the optimal reorder point of the parts of each supplier are given. In order to make the VMI-Hub can conduct collaborative replenishment, the punishment and bonus mechanism is put forward, and numerical analysis shows that adjusting the penalty factor and bonus factors of each supplier can improve service level of the assembly system.
Finally, after introducing VMI-Hub inventory liability period which objectively exists in management practice, inventory control and decision-making model of VMI-Hub is formulated from aspect of inventory level control and "liability period". A Stackelberg Game is constructed between single supplier and single manufacturer from the dimension of time, and the optimal solutions of this model under decentralized decision are given. Then the optimal solutions of decentralized decision are compared to under centralized decision.
首先,提出了基于VMI-Hub的装配系统协同运作组织模式。从理论分析的角度,研究VMI-Hub物流组织模式和协同运作方式,明确基于VMI-Hub的典型运作模式的运营主体,构建其主要的物流协同运作流程和方向模型,探讨VMI-Hub模式物流协同运作的驱动力和VMI-Hub模式的价值体现。
其次,分析了基于VMI-Hub的供应链装配系统协同运作绩效,对装配系统中的传统批对批补货模式、“循环取货”的批对批补货模式以及基于VMI-Hub的协同补货运作模式进行了系统建模,并采用算例对三种情况下的绩效进行了比较,分析出VMI-Hub运作模式的作用和价值。在此基础上,通过实证研究了VMI-Hub模式下伙伴关系、信息共享与运作绩效之间的关系。研究结果表明在VMI-Hub模式下,伙伴关系对信息共享有显著地正向影响,伙伴关系对装配系统运作绩效也有显著地正向影响,信息共享对装配系统运作绩效有正向影响。
再次,在VMI.Hub运作模式下,引入生产库存控制模型(Automatic Pipeline, Inventory and Order Based Production Controlling System,APIOBPC S),构建了PI-APIOBPCS系统,其能有效地消除了库存偏差；进一步构建了PID-APIOBPCS系统,数值分析显示其不仅能消除由“生产时间估计误差”所造成的库存偏差,而且能够抑制生产率和库存水平波动扩大。
然后,构建了基于VMI-Hub装配系统协同补货决策模型。在对原模型转化为一个一维的寻优问题后,求解出了最优的订货批量和各供应商零部件的最优订货点。为了使得VMI-Hub能进行协同补货,提出了惩罚和奖励机制,数值分析说明通过调整各供应商的惩罚因子和奖励因子可以显著提高供应商协同补货的积极性,从而提高整个装配系统的服务水平。
最后,引入管理实践中客观存在的VMI-Hub库存责任期,从VMI-Hub的库存水平控制与“责任期设定”两个维度考虑,研究了考虑责任期的VMI-Hub库存控制决策模型。从时间的维度上建立了供应商和制造商的主从博弈模型,分别针对双方的决策模型求最优解,得到供应商和制造商在分散决策下的最优决策点,并将其与集中决策下整体绩效的最优决策进行了一定地分析和比较。
With the economic globalization, market competition intensification and supply chain uncertainty greatly increased, the collaboration of an assembly system in supply chain has been attached more and more importance to by academic and business circles. Regarding assembly system in supply chain as our object, decision-makings of collaborative operation in the assembly system based on VMI-Hub are considered comprehensively and systematically, combined with empirical research and theoretical analysis, qualitative reasoning and quantitative judgement and by using management, operations management, system dynamics, system decision theory and optimization modeling methods synthetically.
Firstly, a collaborative operation organization model of assembly system based on VMI-Hub is proposed. From the aspect of theoretical analysis, logistics organization model and collaborative operation mode of VMI-Hub are analyzed. Furthermore, operation subject of VMI-Hub is elaborated and collaborative operation flow and direction model are constructed. Besides, the driving force and the value of VMI-Hub are also discussed.
Secondly, the collaborative operation value of assembly system in supply chain based on VMI-Hub is analyzed. Then traditional batch-to-batch replenishment model、 Milk-run replenishment model and collaborative replenishment operation model in assembly system based on VMI-Hub are established. The performance of the three cases is compared and role and value of VMI-Hub operation model are analyzed. On this basis, empirical research has been done on the relation between partner ships, information sharing and operation performance under VMI-Hub mode. The results show that under the mode of VMI-Hub, partnerships have significantly positive effects on information sharing and operations performance in assembly system. However, information sharing has a positive effect on assembly system performance.
Thirdly, in the VMI-Hub operation mode, Automatic Pipeline, Inventory and Order based Production Control System is introduced, and PI-APIOBPCS model is constructed, which can effectively eliminate the stock deviation. Furthermore, PID-APIOBPCS system is constructed, and numerical analysis shows that it can not only eliminate the "production time estimation error" caused by the deviation of inventory, but also can inhibit the fluctuation of productivity and inventory.
Fourthly, the collaborative replenishment decision-making model based on VMI-Hub in the assembly system is established. After the original model turned into a one-dimensional optimization problem, the optimal order quantity and the optimal reorder point of the parts of each supplier are given. In order to make the VMI-Hub can conduct collaborative replenishment, the punishment and bonus mechanism is put forward, and numerical analysis shows that adjusting the penalty factor and bonus factors of each supplier can improve service level of the assembly system.
Finally, after introducing VMI-Hub inventory liability period which objectively exists in management practice, inventory control and decision-making model of VMI-Hub is formulated from aspect of inventory level control and "liability period". A Stackelberg Game is constructed between single supplier and single manufacturer from the dimension of time, and the optimal solutions of this model under decentralized decision are given. Then the optimal solutions of decentralized decision are compared to under centralized decision.
引文
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