Developing and Implementing the Business Diagnosis Model Based on the Scorecard for the Efficient SCM

在经济危机期间，企业为了保持竞争力，不得不改进业务流程。然而，很明显，在供应链管理(SCM)被引入以引起国际关注之前，这些以前的改进方法是不够的。为了保持竞争力，供应链管理发挥了重要作用，尽可能以最低的成本提供产品，满足客户的需求，包括以正确的质量和数量向客户交付正确的产品。然而，为了设计高效的供应链管理，需要考虑员工的考虑、工作改进的效率、信息系统等多方面的约束，同时，对日本企业实践和组织约束的评估也是非常重要的。基本上，这些公司应该知道自己的能力水平，然后尝试将自己的能力与竞争对手或集群的标杆进行比较。正因为如此，供应链管理物流记分卡在本研究中的应用是值得关注和有效的。供应链管理物流记分卡(SCM物流记分卡)是一种简单的技术，用于企业对自己进行评估，并与相关企业进行标杆。在本研究中，利用LSC的企业数据开发了供应链绩效诊断程序，以澄清其结构。诊断结果表明，运行性能越好，SCM的效率越高。这也给时间序列分析捕捉到的财务指数带来了显着的正向影响。通过使用分层分析，这种关系再次被验证得更加清楚。最后，在研究结果的基础上，结合该公司的供应链改进指标，开发了基于LSC的供应链诊断工具。

During the economic crisis, the companies have to improve the business process in order to maintain their competitiveness. However, it became clear that those previous improving methods were insufficient until Supply Chain Management(SCM) have been introduced to attract international attention. Tb maintain the competitiveness, SCM played important roles to possibly supply the product at the lowest cost, fulfill customer requirements including delivery the right products at the right quality and quantity to customers. However, in order to design the efficient SCM, many constraints were taken into action such as employees consideration, efficiency of work improvement, the information system.Simultaneously, the evaluation of business practices and organization constraints in Japan were considered important. Basically, the companies should know what level of the ability they are in, then attempt to compare their ability with their competitor or cluster's benchmarking. For such reasons, SCM Logistics scorecard employed in this research is concerned effective. SCM Logistics Score Card(LSC) is a simple technique for the companies to evaluate themselves together with benchmarking them with related enterprises. In this research, the SCM performance diagnosing program was developed by using corporate data of the LSC to clarify its structure. The diagnosed results showed that the higher operational performances led the higher efficiency of SCM. This also brought significantly positive in the financial indexes which were caught by time series analysis. The relationship was again verified to be more clearly by employing a stratified analysis. In addition, the similar diagnosis was replicated with other non-financial indexes.Finally, the diagnosing tool of SCM using the LSC was developed based on the results of this research together with SCM improvement indicators of the company.