库存不精确情形下的鲁棒集成补货、生产控制及分销策略
本文选题:生产/库存/分销系统 切入点:库存不精确 出处:《东南大学》2016年博士论文
【摘要】:完整的生产/库存/分销系统控制通常分为三个主要环节:原材料库存管理、生产控制及分销调度。这三个环节分别包含原材料库存、在制品库存和成品库存。而库存不精确(库存记录与真实库存的不符)在上述三个环节均客观存在。库存不精确给物料需求计划系统和供应链管理系统的运行带来了不利影响,进而带来了成本的增加和收益的减少。因此,本论文将研究一种鲁棒集成补货、生产控制和分销策略来克服库存不精确对生产/库存/分销系统三个主要环节带来的负面影响。本文的主要内容概括如下:1.针对考虑补货时延和库存不精确的原材料库存系统,研究了鲁棒补货问题。该问题以最小化库存成本、缺货成本和物料运输成本为目标。首先给出了用于估计真实库存概率分布的递归算法。在库存水平概率分布的基础上,提出了一种鲁棒再订货时间/再订货量策略(RTQ策略)。文中的理论分析和数值实验结果揭示了如下结论和管理学启示:(1)如果存在不可见的库存损失及由此带来的不精确的库存记录,在经典策略(r,0)策略,(R,S)策略,(s,S)策略)控制下,将会在有限时间内陷入零服务状态(库存水平以概率1小于或等于零);如果库存损失的概率分布已知,在所提出的RTQ策略下,即使不进行盘点,系统也不会陷入零服务状态且会保持较高的服务水平;(2)如果库存记录是精确的,则RTQ策略是近似优的,其性能与最优参数下的(r,Q)策略非常接近。(3)为克服库存系统中库存不精确带来的负面影响,除了盘点和部署射频识别设备(RFID),也可采用鲁棒补货策略,这样不会增加人力或硬件部署和维护的成本。2.针对在制品及成品库存不精确的生产系统,研究了多机器多品种制造系统的鲁棒生产控制问题。该问题以最小化在制品和成品的库存成本以及成品的缺货成本为目标。该问题分以下两步解决:首先,在库存水平精确可知的假设下,根据动态规划原理推导出了简化的最优生产控制策略(简化策略);基于该控制策略的结构特征和真实库存水平条件概率分布,为克服库存不精确对生产控制的负面影响,提出了一种基于在制品及成品库存水平的条件数学期望的鲁棒生产控制策略(鲁棒策略)。数值仿真实验将简化策略和所提出的鲁棒策略在各自的最优参数下进行了对比。结果表明,鲁棒策略的性能总是优于简化策略。最后对两种策略关于库存误差分布参数、机器故障率等系统参数进行了灵敏度分析。结果表明,在不同的系统参数下,所提出的鲁棒策略都优于简化策略。本问题的研究结果表明,在生产控制中,即使在制品种类多,且数量持续变化难以跟踪,鲁棒控制策略仍能有效减小库存不精确带来的负面影响。3.针对考虑补货时延和库存不精确的分销系统,研究了鲁棒库存路径问题(Inventory routing problem,IRP)。与传统IRP问题不同的是,我们考虑了补货时延,而各零售商的补货时延由分销路径决定,因此补货量决策和路径决策相互耦合。为解决此问题,首先研究了库存精确情形下考虑补货时延的IRP问题。以一个供应商两个零售商的简单情形为研究对象,证明了该问题的最优库存路径策略结构为切换曲线类型,状态(零售商的库存位势)空间被切换曲线划分为多个区域,每个区域对应各自的最优补货路线及最优订至点(order-up-to-level)。根据最优策略的结构,针对现实规模的分销系统,提出了一种启发式策略并给出了算例来说明该策略的可行性。其次研究了考虑库存不精确和补货时延的IRP问题。该问题的解决分为三层:路径优化层(产生和优化待选路径),补货量优化层(对每条待选路径,优化补货量),路径评估层(对每条路径的性能指标进行评估)。提出了一种鲁棒再订货时间/阶段长度/再订货量算法来优化补货时间、补货量。最后,提出了一种基于遗传算法的路径决策方法。4.针对考虑库存不精确的补货/生产/分销系统,研究了鲁棒集成补货、生产控制及分销问题。为解决此问题,首先建立了系统完整的数学模型,并在前述工作的基础上构建了集成鲁棒补货/生产/分销控制策略。通过递归估计的未来周期零售终端库存水平的概率分布预测下次配送的时间和所需的配送量,以此作为生产环节下一阶段的生产目标。证明了该种情形的最优生产控制策略为{0,μ}控制,即若开始生产就以最大生产率来生产。在生产环节,使用基于仿真的方法优化最佳生产开始时间和各周期对各种原材料需求的概率分布,以此作为原材料库存控制环节进行原材料补货的依据。数值实验验证了该策略的可行性。通过对库存不精确程度的灵敏度分析,我们发现在该策略的控制下,当各环节库存不精确程度的变化时,虽然控制策略的参数随之变化,但各环节的服务水平保持不变,体现了策略较好的鲁棒性。对于关于库存不精确问题的研究,本文的主要贡献是:(1)将库存不精确情形下的补货问题从现有的报童模型扩展至考虑固定订货成本和补货时延的一般模型,并提出相应的鲁棒再订货点/再订货量策略;(2)研究了在制品及成品库存不精确情形下的生产控制问题,提出了一种基于在制品及库存水平的条件数学期望的鲁棒生产控制策略。(3)研究了分销过程中成品库存不精确情形下的库存路径问题,考虑了分销过程中运输时延不可忽略的现实因素,证明了最优库存路径策略的结构特征,并提出了鲁棒库存路径策略。(4)研究了库存不精确情形下的补货/生产/分销系统的鲁棒集成控制,提出了鲁棒集成补货/生产/分销控制策略。并通过算例验证了其可行性和鲁棒性。
[Abstract]:Complete production / inventory / distribution control system is usually divided into three major parts: raw materials inventory management, production control and distribution scheduling. These three aspects include the inventory of raw material, WIP and finished goods inventory and inventory inaccuracy (inconsistent inventory records and real stock) in the above three aspects are the objective existence. Adverse effects of inventory inaccuracy to the MRP system and supply chain management system, and reduces the cost and increase the profit. Therefore, this paper will research a robust integrated replenishment, production control and distribution strategies to overcome the inventory inaccuracy of production / inventory / distribution negative impact bring the three main parts of the system. The main contents of this paper are as follows: 1.. Considering the inventory of raw materials inventory replenishment system delay and imprecise, studies the robust problem. The problem with replenishment To minimize the inventory cost, shortage cost and transportation cost as the goal. Firstly, a recursive algorithm is used to estimate the real stock probability distribution. Based on the probability distribution of the inventory level, this paper presents a robust reorder time / quantity strategy (RTQ strategy). Theoretical analysis and numerical experiment results in this paper reveals the following conclusions and management implications: (1) if there is no visible inventory loss and the resulting inaccurate inventory records, in the classic strategy (R, 0), (R, S) strategy, (s, S)) under the control strategy will be in zero in finite time state (the inventory level is less than or equal to zero with probability 1); if the known probability distribution of inventory loss, the proposed RTQ strategy, if not for inventory, the system does not fall into the zero state and will maintain a high level of service; (2) if the inventory records are accurate, then RTQ strategy is a better approximation, the performance and the optimal parameters of the (R, Q) strategy is very close. (3) in order to overcome the negative effects in the inventory system inventory inaccuracy brought about, in addition to checking and deployment of RFID equipment (RFID), also can use robust replenishment strategy, so as not to increase human or hardware deployment and the cost of maintenance for the.2. production system, WIP and finished goods inventory not accurate, robust control problem of multi machine production variety manufacturing system. The problem is to minimize the WIP and finished goods inventory cost and shortage cost of finished products as the goal. The problem is divided into the following two steps: first, to solve the inventory level in the accurate under the assumption, according to the dynamic programming principle is derived for the optimal production control policy (simplified simplified strategy); structural features of the control strategy and the real conditions of the probability distribution based on the inventory level, inventory is not to overcome Precise negative impact on production control, put forward a kind of conditional expectation WIP and FG inventory level based on the robust control strategy of production (robust strategy). Numerical simulation results will simplify the strategy and the proposed robust strategies are compared in their respective optimal parameters. The results show that the performance of robust strategy is always better than the simplified strategy. At the end of two strategies about inventory parameter error distribution, machine failure rate and other system parameters are analysed. The results show that the different parameters of the system, the proposed robust strategies are better than the simplified strategy. This research results show that in production control, even in many types, and the number of continuous it is difficult to change tracking, robust control strategy still can effectively reduce the negative impact of inaccurate inventory.3. considering sales and inventory replenishment system delay is not accurate, Research on robust inventory routing problem (Inventory routing, problem, IRP). Different from the traditional IRP problem, we consider the replenishment time delay, and the delay of each retailer's replenishment is decided by the distribution path, so the replenishment quantity decision and decision path coupling. In order to solve this problem, we study the IRP problem considering time delay inventory replenishment the exact circumstances. In a simple case of one supplier and two retailers as the research object, proved that the problem of optimal inventory strategy for path switching curve type structure, state (retailer potential) switching curve space is divided into multiple regions, each region corresponding to their respective optimal replenishment route and optimal order up to (order-up-to-level). According to the structure of the optimal strategy, the distribution system according to the reality of the scale, this paper proposes a heuristic strategy and an example is given to illustrate the feasibility of the strategy. Secondly considering the IRP problem of inventory inaccuracy and replenishment delay. To solve the problem is divided into three layers: the path optimization layer (generation and Optimization for path), the replenishment quantity optimization layer (for each candidate path, optimal replenishment quantity), path evaluation layer (for each path of evaluation index). A robust reorder time / phase length / ordering algorithm to optimize the replenishment time, the replenishment quantity is put forward. Finally, proposes a path based decision method.4. genetic algorithm considering inaccurate inventory replenishment / production / distribution system, the research of robust integrated replenishment, control and distribution problems the production. In order to solve this problem, the first complete mathematical model of the system is established, and the construction of the integrated robust replenishment / production / distribution control strategy on the basis of previous work. Through the recursive estimation of the future cycles of retail terminal inventory probability Prediction of the distribution of delivery time and delivery time required, as the production of the next stage of production goals. Prove that this kind of situation the optimal production control policy for {0, Mu} control, if the production started with the maximum productivity to production. In the process of production, using the method of Yu Fangzhen optimal production base the probability distribution of demand for raw materials and time of each period, as the raw material replenishment of raw material inventory control link basis. Numerical experiments verify the feasibility of the strategy. Through the sensitivity analysis of inventory inaccuracy degree, we found that in the control strategy, when the change of each link inventory is not accurate when, although parameters control strategies change, but all aspects of the service level remained unchanged, reflecting the good robustness of the strategy. For the research on inventory inaccuracy problem, The main contribution of this paper is: (1) the inventory replenishment problem under imprecise newsboy model from the existing extension to consider the general model of fixed ordering cost and replenishment delay, and put forward the corresponding robust reorder point and order quantity strategy; (2) the problem of production control and product inventory of WIP the exact circumstances, put forward a kind of conditional expectation and WIP inventory levels based on the robust control strategy for production. (3) study on the inventory routing problem during the distribution of finished goods inventory inaccuracy situation, considering the practical factors of transport delay can not be ignored in the distribution process, proved that the structural characteristics of the optimal inventory path the strategy, and put forward a robust inventory routing strategy. (4) studied the robust integrated control of inventory inaccuracy situation replenishment / production / distribution system, this paper presents a robust integrated replenishment / production / distribution control The feasibility and robustness of the strategy are verified by an example.
【学位授予单位】:东南大学
【学位级别】:博士
【学位授予年份】:2016
【分类号】:F274;TP13
【相似文献】
相关期刊论文 前10条
1 王卫民;补货应采用拉动而不是推动[J];物流技术;2003年08期
2 陈里 ,曲文浩,梁永刚,黄建农;永远的补货[J];中国药店;2005年09期
3 颜文;张仁颐;;论连锁店的分店补货模型[J];物流科技;2005年10期
4 刘保政;刘德宝;任苹;高立群;;易变质商品随机补货间隔的补到水平存贮控制策略[J];东北大学学报;2006年06期
5 熊燕华;沈厚才;;按单装配系统中的协同补货问题研究[J];中国管理科学;2006年06期
6 余大勇;骆建文;;具有有效期易变质品的最优补货策略研究[J];工业工程与管理;2008年06期
7 ;光泉M化巡补货系统的应用[J];物流技术与应用;2008年08期
8 申风平;王燕;;基于时间的易变质品整合补货发货模型[J];物流工程与管理;2011年10期
9 求实;;一九八七年上半年江苏省针纺织品补货会[J];商业科技;1987年05期
10 王心意;;自动订货和补货的现实应用[J];信息与电脑;2002年05期
相关会议论文 前4条
1 汪小京;周昌林;;有限库存能力条件下的补货及外包批量研究[A];第十二届中国管理科学学术年会论文集[C];2010年
2 卫武斌;孙权;颜兆林;;存在快速补货的军事器材库存控制模型及其仿真研究[A];中国运筹学会第十届学术交流会论文集[C];2010年
3 高远洋;李化星;;带实时补货混合策略的供应链契约研究[A];第三届(2008)中国管理学年会——市场营销分会场论文集[C];2008年
4 李宇雨;;考虑消费者选择和替代行为的ATO制造商定价及补货策略[A];第八届(2013)中国管理学年会——管理与决策科学分会场论文集[C];2013年
相关重要报纸文章 前10条
1 童继铭;服装行业ERP零售终端智能补货 何以难达成效[N];中国计算机报;2011年
2 ;生鲜订货补货管理及原则[N];中国商报;2012年
3 王心意;自动订货和补货的现场应用[N];中国商报;2002年
4 AMT顾问 梁 星;智能补货 消除库存隐患[N];中国计算机报;2008年
5 三材;进货管理的三大流程[N];医药经济报;2008年
6 ;零售渠道需要“协同补货”吗?[N];电脑商报;2009年
7 记者 丁宁;银行理财收益回落 资金回补货基[N];上海证券报;2013年
8 本刊记者 吕萍;信息技术拓宽盈利“蓝海”[N];中华合作时报;2010年
9 李春波;从到货与库存看结构问题[N];中华合作时报;2012年
10 胡文;药品摆放一点通(上)[N];中国医药报;2006年
相关博士学位论文 前9条
1 黄辉;基于消费者异质性的ATO系统生产及补货策略研究[D];重庆大学;2016年
2 徐浩轩;面向网络零售商的批量补货与发货模型研究[D];华中科技大学;2016年
3 李明;库存不精确情形下的鲁棒集成补货、生产控制及分销策略[D];东南大学;2016年
4 瞿慧;基于联合补货策略的供应链纵向集成优化模型研究[D];华中科技大学;2015年
5 李宇雨;ATO环境下制造商的零部件补货策略研究[D];重庆大学;2010年
6 于建红;不确定条件下基于Supply-Hub的协同补货策略研究[D];华中科技大学;2012年
7 杜少甫;VMI集成环境下的补货发货策略研究[D];中国科学技术大学;2007年
8 汪小京;VMI与TPL集成环境下的补货及发货策略研究[D];华中科技大学;2010年
9 陈芝;VMI模式下的库存及其补货模型研究[D];湖南大学;2013年
相关硕士学位论文 前10条
1 袁孝涛;汽车配件多核多级协同补货策略研究及系统实现[D];西南交通大学;2015年
2 俞涛;A集团公司北方配送中心规划及流程设计[D];复旦大学;2014年
3 高义;基于拉式补货的快速消费品供应链分销系统库存控制模式研究[D];东北财经大学;2015年
4 陈卓;烟草行业工商协同补货决策支持系统研究[D];华中科技大学;2014年
5 徐瑾;L公司电脑零部件协同补货策略研究[D];北京交通大学;2016年
6 吴素素;某企业配送中心订单分批及补货路径优化[D];湖南大学;2016年
7 张瑾;模块化分拣下的需求预测与补货问题研究[D];华中科技大学;2015年
8 赵阳;SH公司原材料综合补货策略研究[D];南京农业大学;2015年
9 陶顺育;面向生产的配送中心补货系统的研究与开发[D];广西大学;2016年
10 曹歌;零售业配送中心的补货配送优化问题研究[D];沈阳工业大学;2017年
,本文编号:1693902
本文链接:https://www.wllwen.com/guanlilunwen/gongyinglianguanli/1693902.html