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

在经济危机期间，企业必须改善业务流程，以保持其竞争力。然而，很明显，这些以前的改进方法是不够的，直到供应链管理（SCM）已被引入，以吸引国际关注。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，满足客户的要求，包括交付正确的产品在正确的质量和数量给客户。然而，为了设计有效的供应链管理，需要考虑到员工的考虑、工作效率的提高、信息系统等诸多制约因素，同时，对日本的企业实践和组织制约因素的评价也被认为是重要的。基本上，公司应该知道他们处于什么水平的能力，然后尝试将他们的能力与竞争对手或集群的基准进行比较。因此，本研究所采用的供应链物流计分卡是有效的。供应链管理物流记分卡（LSC）是一种简单的技术，为企业评估自己与标杆他们与相关企业。本研究利用LSC的企业数据开发了供应链管理绩效诊断程序，以阐明其结构。诊断结果表明，较高的运行性能导致较高的SCM的效率。这也使得时间序列分析所捕捉到的财务指标出现了显著的正向。采用分层分析再次验证了这种关系，使其更加明确。最后，基于本文的研究结果，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.