A公司物流优化策略研究
发布时间：2019-04-23 13:02
【摘要】：现代物流被认为“第三利润源泉”。而物流优化可以对现有的物流系统进行整体的规划和改造，达到减少库存积压，降低总成本，提高利润的目的，最终加强企业竞争力，提高企业的经济效益。 A公司每年都会开展净推荐值（NPS）客户调查。在近几年的客户反馈中，客户总是投诉物流服务。A公司自身也面临着库存过高，库存结构不合理，运营效率低下等问题。公司由此成立了专门的项目组，以提升A公司物流服务水平。 本篇论文主要研究了A公司的物流运营现状，应用多个物流指标定量地测量物流服务水平，然后应用相关的物流理论知识来解读这些指标，通过数据分析找出物流系统中存在的问题。最后根据发现的问题制定物流优化策略，提出具体的优化方案，最终将方案实施，以达到降低A公司总体的物流成本，同时提高现有物流网络的效率，维持相对较高的客户服务水平。 本文的研究方法主要使用定量分析方与实验法。研究借鉴了6西格码与4Q的方法论，通过ERP系统进行大量的数据采集，设计不同的指标找出优化的方向，通过各物流指标的目标设定来进行物流优化。优化主要侧重在物流运作的三个重要环节：库存管理，仓储管理，需求预测管理。本文根据帕累托法则，选取这些环节中几个问题最为严重的节点作为优化内容，通过数据分析寻找低效物流的主要原因。在优化方法中采用实验法，改变现有的流程进行试点，并对优化后的试点结果进行再测量，通过统计学的显著性分析对优化结果进行验证，得到理想的稳定结果后，再来对作业流程进行系统的改进，以保证优化方案的正确性与科学性。 全文共分七章：第一章：绪论，主要简述了此篇论文的选题背景，目的，意义，主要内容,研究方法与论文结构体系；第二章，相关理论综述，介绍不同的物流优化观点，相关物流优化理论，包括库存管理，仓储管理，需求预测管理等。第三章至第六章为本论文的主体部分。第三章，主要是论述了A公司的物流现状，，通过物流指标的设立与测量全面了解A公司物流现状。物流指标从二个视角提出，客户交货与公司的成本。第四章，应用数据分析A公司物流服务若干问题产生的原因，并提出A公司优化的三大方向为库存管理，仓储运营与需求预测管与相关优化策略。第五章，针对A公司物流库存管理，仓储运营，需求预测管理三大瓶颈，提出优化方案。第六章，在A公司实施提出的优化方案。第七章，全文总结，主要总结了全文的框架结构与研究成果。并指出本文的局限性，同时指明了笔者今后在这些领域的研究方向。
[Abstract]:Modern logistics is regarded as "the third source of profit". Logistics optimization can plan and reform the existing logistics system, so as to reduce the backlog of inventory, reduce the total cost, improve the profit, finally strengthen the competitiveness of enterprises, improve the economic benefits of enterprises. Company A conducts a net recommended value (NPS) customer survey every year. In recent years, customers always complain about logistics service in customer feedback. Company A also faces some problems such as high inventory, unreasonable inventory structure, inefficient operation and so on. As a result, the company has set up a special project team to improve the logistics service level of A company. This paper mainly studies the current situation of logistics operation in Company A, applies several logistics indicators to measure the level of logistics service quantitatively, and then applies the related logistics theory knowledge to interpret these indicators. Find out the problems existing in the logistics system through the data analysis. Finally, according to the problems found, the logistics optimization strategy is formulated and the concrete optimization scheme is put forward. Finally, the scheme is implemented in order to reduce the overall logistics cost of Company A and improve the efficiency of the existing logistics network at the same time. Maintain a relatively high level of customer service. The research method of this paper mainly uses quantitative analytical method and experimental method. Based on the methodology of 6-signet code and 4Q, a great deal of data collection is carried out through ERP system, and different indexes are designed to find out the direction of optimization, and logistics optimization is carried out through the target setting of each logistics index. Optimization mainly focuses on the logistics operation in three important links: inventory management, warehousing management, demand forecasting management. In this paper, according to Pareto's rule, some of the most serious problems in these links are selected as the optimization content, through data analysis to find out the main reasons of inefficient logistics. In the optimization method, the experiment method is adopted, the existing process is changed to carry on the pilot experiment, and the optimized pilot results are re-measured. Through the statistical significance analysis, the optimization results are verified and the ideal stable results are obtained. In order to ensure the correctness and scientificity of the optimization scheme, the operation process is improved systematically. The full text is divided into seven chapters: chapter one: introduction, which mainly describes the background, purpose, significance, main content, research methods and structure system of this paper; In the second chapter, the related theories are summarized, including inventory management, warehousing management, demand forecasting management and so on. The third chapter to the sixth chapter is the main part of this paper. The third chapter mainly discusses the logistics status of Company A, through the establishment and measurement of logistics indicators to understand the current situation of Logistics of Company A in an all-round way. Logistics indicators from two perspectives, customer delivery and company costs. In the fourth chapter, the causes of some problems in logistics service of Company A are analyzed by using data, and the three main directions of optimization of Company A are put forward: inventory management, storage operation and demand forecasting management and related optimization strategies. In the fifth chapter, aiming at the bottleneck of logistics inventory management, warehousing operation and demand forecast management in Company A, the optimization scheme is put forward. In the sixth chapter, the optimization scheme is implemented in A Company. In the seventh chapter, the frame structure and research results are summarized. And pointed out the limitations of this paper, and pointed out the author in these areas in the future research direction.
【学位授予单位】：上海外国语大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F259.23
本文编号：2463492
[Abstract]:Modern logistics is regarded as "the third source of profit". Logistics optimization can plan and reform the existing logistics system, so as to reduce the backlog of inventory, reduce the total cost, improve the profit, finally strengthen the competitiveness of enterprises, improve the economic benefits of enterprises. Company A conducts a net recommended value (NPS) customer survey every year. In recent years, customers always complain about logistics service in customer feedback. Company A also faces some problems such as high inventory, unreasonable inventory structure, inefficient operation and so on. As a result, the company has set up a special project team to improve the logistics service level of A company. This paper mainly studies the current situation of logistics operation in Company A, applies several logistics indicators to measure the level of logistics service quantitatively, and then applies the related logistics theory knowledge to interpret these indicators. Find out the problems existing in the logistics system through the data analysis. Finally, according to the problems found, the logistics optimization strategy is formulated and the concrete optimization scheme is put forward. Finally, the scheme is implemented in order to reduce the overall logistics cost of Company A and improve the efficiency of the existing logistics network at the same time. Maintain a relatively high level of customer service. The research method of this paper mainly uses quantitative analytical method and experimental method. Based on the methodology of 6-signet code and 4Q, a great deal of data collection is carried out through ERP system, and different indexes are designed to find out the direction of optimization, and logistics optimization is carried out through the target setting of each logistics index. Optimization mainly focuses on the logistics operation in three important links: inventory management, warehousing management, demand forecasting management. In this paper, according to Pareto's rule, some of the most serious problems in these links are selected as the optimization content, through data analysis to find out the main reasons of inefficient logistics. In the optimization method, the experiment method is adopted, the existing process is changed to carry on the pilot experiment, and the optimized pilot results are re-measured. Through the statistical significance analysis, the optimization results are verified and the ideal stable results are obtained. In order to ensure the correctness and scientificity of the optimization scheme, the operation process is improved systematically. The full text is divided into seven chapters: chapter one: introduction, which mainly describes the background, purpose, significance, main content, research methods and structure system of this paper; In the second chapter, the related theories are summarized, including inventory management, warehousing management, demand forecasting management and so on. The third chapter to the sixth chapter is the main part of this paper. The third chapter mainly discusses the logistics status of Company A, through the establishment and measurement of logistics indicators to understand the current situation of Logistics of Company A in an all-round way. Logistics indicators from two perspectives, customer delivery and company costs. In the fourth chapter, the causes of some problems in logistics service of Company A are analyzed by using data, and the three main directions of optimization of Company A are put forward: inventory management, storage operation and demand forecasting management and related optimization strategies. In the fifth chapter, aiming at the bottleneck of logistics inventory management, warehousing operation and demand forecast management in Company A, the optimization scheme is put forward. In the sixth chapter, the optimization scheme is implemented in A Company. In the seventh chapter, the frame structure and research results are summarized. And pointed out the limitations of this paper, and pointed out the author in these areas in the future research direction.
【学位授予单位】：上海外国语大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F259.23
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