装配型制造企业库存协同优化理论与方法研究
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摘要
目前我国不少加工装配型制造企业都面临这样一个运营困境：一方面,呆滞的零部件库存堆积如山；另一方面,生产所需零配件缺料频繁、紧急插单等现象经常发生,从而导致生产计划无序和运作低效。其本质的原因是供应链的协同计划能力较差,供应商协同供应能力较弱。
基于此背景,本文在分析国内外相关研究现状的基础上,对加工装配型制造企业的协同库存优化问题进行系统研究,其主要研究工作如下：
(1)装配制造企业多周期的动态批量优化
以装配型制造企业的供应链系统为研究对象,构建多周期的生产与采购其相应的动态批量决策优化模型,该模型考虑需求交付的时间窗约束、产能约束、供应链运作中各环节的时间约束以及按BOM单装配的齐套约束,通过制造商的生产和采购批量动态优化,使得整个规划周期内供应链总成本最低。
(2)随机采购提前期下,装配系统的控制库存优化
主要研究多个供应商在不确定的供应环境下如何进行协同供应和库存优化,以实现装配制造企业能够按照生产BOM的配比需求及时成套生产；构建了随机采购提前和随机需求条件下,多供应商、单制造商的装配系统库存协同控制优化决策模型,确定制造商的最优的再订货点和订货批量。
(3)基于Supply-Hub装配型制造企业的协同库存控制优化
应用排队论和基本库存策略,结合装配型制造企业供应链管理的特点,构建了基于Supply-Hub的库存协同控制优化模型,并针对分散决策和集中决策两种情况进行具体优化决策分析。同时,分析了装配制造企业供应链协同的供需双方补偿激励机制与帕累托改进条件。
(4)基于目标绩效的协同库存控制动态优化
在系统分析装配型制造企业供应链协同库存优化的总体思路和关键控制点基础上,根据反馈控制理论思想,构建了基于目标绩效控制的装配制造企业协同库存控制优化模型,并给出了相应的求解算法。同时,从可指导企业实际运作角度出发,提出了基于目标绩效的再订购点动态优化决策方法。
At present, many assembly companies have faced such an operation management dilemma:namely, some overstocked components piles up, but the components needed in current scheduling plan is frequently out of stock and the incident of urgent order, increased order, injected order often take place, which leads to the chaos of production planning and lower operating efficiency. The essential cause is that both the capability of supply chain coordination scheme and the suppliers' collaborative supply are lack.
Based on the above practical background and the analysis of the current domestic and foreign literature, the dissertation studies the optimization problems for assembly manufacturers coordination inventory control. The main contents are as follows.
(1) Multi-period dynamic batch optimization for assembly manufacturing enterprises
Based on the supply chain management system of assembly manufacturing enterprises, the dynamic batch optimization decision problem on production and procurement is investigated. An optimization model about the corresponding dynamic lot size decision questions is presented, which considers the following constraints, such as the demand for delivery time window constraints, capacity constraints, the operation time of supply chain nodes companies and the ratio of different components according to assembly requirement. The purpose of optimization is to minimize the total supply chain cost by dynamic batch optimization of production and procurement for supply chain node enterprises.
(2) Inventory optimization of assembly system based on coordination supply under stochastic purchasing lead time
In this section, a coordination inventory optimization about multiple suppliers with uncertain supply environment is studied so as to ensure that different components'inventory are considered. And an optimization model is given, which is a coordination inventory control optimization model with multiple suppliers, single manufacturer's supply chain system, to figure out the optimal quantity of the reorder point and order batch.
(3) Inventory collaboration of assembly manufacturing supply based on the Supply-Hub operation mode
According to the characteristic of assembly manufacturing supply chain management, a coordination optimization model is established, which is based on queue theory, basic inventory strategy and supply-hub inventory collaborative control mode. Moreover, the analysis of optimal decision is given, according to comparison the decentralized with centralized decision. Meanwhile, the compensation mechanism of supply chain collaboration and condition of Pareto improvement is analyzed.
(4) Optimization on dynamic inventory control based on the objective performance
Based on the system analysis of the framework and key control point of supply chain collaborative inventory optimization for assembly manufacturing enterprises, an optimization model is investigated according to the principle of feedback control, which is based on the assembly manufacturing enterprise's target performance. And the related algorithm is described. Finally, according to target performance and reorder point theory, a dynamic optimization decision model is formulated, which is rational guidance for the assembly manufacturing enterprise's practice operation.
基于此背景,本文在分析国内外相关研究现状的基础上,对加工装配型制造企业的协同库存优化问题进行系统研究,其主要研究工作如下：
(1)装配制造企业多周期的动态批量优化
以装配型制造企业的供应链系统为研究对象,构建多周期的生产与采购其相应的动态批量决策优化模型,该模型考虑需求交付的时间窗约束、产能约束、供应链运作中各环节的时间约束以及按BOM单装配的齐套约束,通过制造商的生产和采购批量动态优化,使得整个规划周期内供应链总成本最低。
(2)随机采购提前期下,装配系统的控制库存优化
主要研究多个供应商在不确定的供应环境下如何进行协同供应和库存优化,以实现装配制造企业能够按照生产BOM的配比需求及时成套生产；构建了随机采购提前和随机需求条件下,多供应商、单制造商的装配系统库存协同控制优化决策模型,确定制造商的最优的再订货点和订货批量。
(3)基于Supply-Hub装配型制造企业的协同库存控制优化
应用排队论和基本库存策略,结合装配型制造企业供应链管理的特点,构建了基于Supply-Hub的库存协同控制优化模型,并针对分散决策和集中决策两种情况进行具体优化决策分析。同时,分析了装配制造企业供应链协同的供需双方补偿激励机制与帕累托改进条件。
(4)基于目标绩效的协同库存控制动态优化
在系统分析装配型制造企业供应链协同库存优化的总体思路和关键控制点基础上,根据反馈控制理论思想,构建了基于目标绩效控制的装配制造企业协同库存控制优化模型,并给出了相应的求解算法。同时,从可指导企业实际运作角度出发,提出了基于目标绩效的再订购点动态优化决策方法。
At present, many assembly companies have faced such an operation management dilemma:namely, some overstocked components piles up, but the components needed in current scheduling plan is frequently out of stock and the incident of urgent order, increased order, injected order often take place, which leads to the chaos of production planning and lower operating efficiency. The essential cause is that both the capability of supply chain coordination scheme and the suppliers' collaborative supply are lack.
Based on the above practical background and the analysis of the current domestic and foreign literature, the dissertation studies the optimization problems for assembly manufacturers coordination inventory control. The main contents are as follows.
(1) Multi-period dynamic batch optimization for assembly manufacturing enterprises
Based on the supply chain management system of assembly manufacturing enterprises, the dynamic batch optimization decision problem on production and procurement is investigated. An optimization model about the corresponding dynamic lot size decision questions is presented, which considers the following constraints, such as the demand for delivery time window constraints, capacity constraints, the operation time of supply chain nodes companies and the ratio of different components according to assembly requirement. The purpose of optimization is to minimize the total supply chain cost by dynamic batch optimization of production and procurement for supply chain node enterprises.
(2) Inventory optimization of assembly system based on coordination supply under stochastic purchasing lead time
In this section, a coordination inventory optimization about multiple suppliers with uncertain supply environment is studied so as to ensure that different components'inventory are considered. And an optimization model is given, which is a coordination inventory control optimization model with multiple suppliers, single manufacturer's supply chain system, to figure out the optimal quantity of the reorder point and order batch.
(3) Inventory collaboration of assembly manufacturing supply based on the Supply-Hub operation mode
According to the characteristic of assembly manufacturing supply chain management, a coordination optimization model is established, which is based on queue theory, basic inventory strategy and supply-hub inventory collaborative control mode. Moreover, the analysis of optimal decision is given, according to comparison the decentralized with centralized decision. Meanwhile, the compensation mechanism of supply chain collaboration and condition of Pareto improvement is analyzed.
(4) Optimization on dynamic inventory control based on the objective performance
Based on the system analysis of the framework and key control point of supply chain collaborative inventory optimization for assembly manufacturing enterprises, an optimization model is investigated according to the principle of feedback control, which is based on the assembly manufacturing enterprise's target performance. And the related algorithm is described. Finally, according to target performance and reorder point theory, a dynamic optimization decision model is formulated, which is rational guidance for the assembly manufacturing enterprise's practice operation.
引文
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