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论文编号：	15230
作者编号：	2320224180
上传时间：	2024/12/13 14:24:29
中文题目：	F公司供应链系统优化研究
英文题目：	Research on Optimization of Supply Chain System for F Company
指导老师：	于斌
中文关键字：	供应链系统优化；业务流程自动化；数据集成；信息共享；F公司
英文关键字：	Supply Chain Information System Optimization；Business Process Automation；Data Integration；Information Sharing；F Company
中文摘要：	本论文旨在解决F公司供应链系统中的主要问题，通过优化方案来提高其供应链管理效率和市场竞争力。F公司是一家中小型机械出口企业，在供应链管理过程中面临多项挑战，包括信息传递效率低下、数据冗余、决策缓慢等问题。尤其在全球化的竞争环境中，供应链管理效率的提升显得尤为重要。然而，F公司由于规模和资金有限，无法像大型企业一样采用高成本的ERP系统或其他全功能的管理软件。因此，本研究着眼于通过优化业务流程和信息流通，提出一系列低成本、可操作的解决方案，帮助企业在预算受限的情况下提升运营效率。 首先，论文对F公司的供应链系统现状进行了详细的分析。当前，F公司的信息管理主要依赖于共享办公软件，信息的收集、处理和传递缺乏系统化的支持。各部门之间的信息孤岛现象严重，数据冗余和重复录入等问题时有发生，导致信息传递的延迟和错误。这样的状况不仅降低了供应链的整体效率，还影响了公司对市场需求的快速响应能力。通过对这些问题的深入分析，论文明确了优化供应链系统的关键任务，即提高信息共享效率，减少人工操作，并提升供应链各环节的协作性。 基于F公司的实际情况，研究提出了四个主要的优化方向。首先是业务流程的优化与自动化。当前，F公司在采购、出口和退税等环节存在大量的手工操作流程，不仅增加了工作负担，还导致了信息的滞后与错误。通过简化业务流程，引入自动化工具，可以有效减少人为干预，从而提高工作效率和数据准确性。研究提出了针对每个业务环节的自动化方案，帮助公司减少繁琐的手动操作，提高供应链管理中的整体协同能力。 其次是数据集成与信息共享。F公司目前依靠分散的系统和工具进行数据的记录和共享，导致了信息的不一致性和延迟。研究提出了构建统一数据平台的解决方案，通过整合公司内部的数据资源，实现数据的自动更新和共享。这样的系统不仅可以提升内部的运营效率，还能够使供应链上的各方（包括供应商和客户）更好地协调运作，避免信息不对称的问题。同时，通过简化数据的输入与输出流程，减少人为错误，进一步提升信息管理的准确性与时效性。 技术架构的优化也是本研究的一个重要组成部分。尽管F公司由于预算限制无法引入高成本的ERP系统，但研究提出了利用现有技术进行升级的解决方案。例如，可以在现有的共享办公软件基础上，结合数据库系统，来实现信息的快速处理与传递。这种解决方案成本较低，但能够显著提升信息系统的集成度，并且可以根据公司的发展情况逐步扩展系统的功能。通过这种渐进式的技术升级，F公司可以在不大幅增加成本的情况下，提升信息管理系统的整体能力。 最后，研究重点关注了供应链管理中的风险管理与防控机制。供应链中的不确定性，如供应商延迟交货、价格波动、市场需求的变化等，都会对企业的运营产生不利影响。通过构建风险管理机制，F公司可以更好地应对这些潜在风险，确保供应链的稳定运行。论文提出了风险预警机制和风险分担机制的设计，通过及时发现问题并采取相应的对策，减少供应链中的不确定性，确保企业的稳定运营。 本研究的优化方案为F公司供应链系统的升级提供了具体可行的路径，并在预算受限的前提下，找到了一种符合公司现状的低成本优化策略。此外，研究的成果不仅适用于F公司，还为其他中小型企业在供应链管理信息系统优化中提供了理论支持和实践参考。通过聚焦于问题解决的逻辑与规划，本研究为F公司未来的发展提供了战略性指导，帮助其提升市场竞争力和运营效率。
英文摘要：	This thesis aims to address the key issues in the supply chain information system of F Company by proposing optimization solutions to enhance its supply chain management efficiency and market competitiveness. F Company, a small and medium-sized machinery export enterprise, faces several challenges in its supply chain management, such as inefficient information flow, data redundancy, and slow decision-making processes. Given the global competitive environment, improving supply chain management efficiency is crucial. However, due to limited scale and budget, F Company is unable to adopt high-cost ERP systems or other comprehensive management software like larger enterprises. Therefore, this thesis focuses on proposing a series of low-cost and feasible solutions to improve operational efficiency through business process optimization and information flow enhancement, considering the company's budget constraints. Firstly, the thesis provides a detailed analysis of the current state of F Company's supply chain information system. The company's information management primarily relies on shared office software, leading to a lack of systematized support for data collection, processing, and communication. There are significant information silos between departments, and issues such as data redundancy and manual data entry frequently occur, causing delays and errors in information transmission. This situation not only reduces the overall efficiency of the supply chain but also hampers the company's ability to respond quickly to market demands. Through a thorough analysis of these issues, the thesis identifies the key tasks in optimizing the supply chain information system, namely improving information sharing efficiency, reducing manual operations, and enhancing collaboration across supply chain links. Based on F Company’s actual situation, the thesis proposes four main optimization directions. The first is business process optimization and automation. Currently, many manual operations exist in the company's procurement, export, and tax refund processes, which not only increase the workload but also result in delays and errors in information flow. By simplifying business processes and introducing automation tools, the company can significantly reduce human intervention, thus improving operational efficiency and data accuracy. The thesis presents automation solutions for each business process, helping the company minimize manual operations and enhance overall collaboration within supply chain management. The second direction is data integration and information sharing. F Company currently relies on disparate systems and tools for data recording and sharing, leading to inconsistencies and delays in information flow. The thesis proposes the creation of a unified data platform to integrate the company’s internal data resources, allowing for automatic updates and sharing. This system can improve internal operational efficiency and enable better coordination across the supply chain (including suppliers and customers), avoiding information asymmetry. By simplifying the data input and output processes, the company can further reduce human errors and enhance the accuracy and timeliness of information management. Technical architecture optimization is another critical component of this research. Although F Company cannot adopt high-cost ERP systems due to budget constraints, the thesis proposes a solution for upgrading its existing technology. For example, the company could combine a database system with its current shared office software to enable faster data processing and transmission. This solution is low-cost but can significantly improve the integration of the information system and can be gradually expanded as the company grows. Through this incremental technological upgrade, F Company can enhance the overall capability of its information management system without a significant increase in costs. Lastly, the thesis emphasizes the importance of risk management and control mechanisms in supply chain management. Uncertainties in the supply chain, such as supplier delivery delays, price fluctuations, and changes in market demand, can negatively impact the company's operations. By establishing risk management mechanisms, F Company can better respond to these potential risks and ensure the stable operation of its supply chain. The thesis proposes the design of risk warning mechanisms and risk-sharing mechanisms to detect problems promptly and take appropriate countermeasures, reducing uncertainty in the supply chain and ensuring the company's stable operation. This thesis provides practical and feasible pathways for upgrading F Company’s supply chain information system while considering budget constraints. In addition to offering a low-cost optimization strategy tailored to the company’s situation, the research outcomes are also applicable to other small and medium-sized enterprises, providing theoretical support and practical references for supply chain management information system optimization. By focusing on problem-solving logic and planning, this thesis offers strategic guidance for F Company’s future development, helping it improve market competitiveness and operational efficiency.
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