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

在经济危机期间，公司必须改进业务流程以保持竞争力。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）已经被引入到引起国际关注。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，包括以合适的质量和数量向客户交付合适的产品。然而，为了设计一个高效的供应链管理系统，需要考虑员工考虑、提高工作效率、信息系统等诸多约束条件。同时，对日本的商业惯例和组织约束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能力水平，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，本研究采用的供应链物流记分卡是有效的。物流计分卡（LSC）是企业对自身进行评价并与相关企业对标的一种简单技术。在本研究中，利用LSC的企业数据，开发了供应链管理绩效诊断程序，以明确其结构。诊断结果表明，运行性能越高，单片机效率越高。这也给时间序列分析捕捉到的财务指标带来了显著的正相关。通过采用分层分析，这种关系再次得到了更清楚的验证。此外，类似的诊断与其他非财务指标重复。最后，根据研究结果，结合公司的供应链管理改进指标，开发了基于LSC的供应链管理诊断工具。

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.