A Case Study of Logistics Service Provider in Warehousing Management

• Main Authors: Pi-Lin Hsiao, 蕭碧琳
• Other Authors: Jinn-Tsai Wong
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/17421226817294168105

碩士 === 國立交通大學 === 管理學院碩士在職專班運輸物流組 === 96 === The logistics system is created to meet the growing needs of integrated logistics services in which consist personnel, process, tools, software, and hardware. Warehouse outsourcing services are based on short-term contract ranging from two to three years and were built in accordance with the needs from customers. After the business partnership is engaged, resources are allocated and both parties will bear the risk of inventory loss due to operation error within the warehouse. Serious errors will damage the 3PL/LSP not only for revenue and profit, but business reputation as well. Logistics center is an open system and its performance is determined through internal elements both qualitative and quantitative. To reduce and control unexpected financial losses caused by process changes, LSP can use a model of logistics performance tool to monitor and manage its application of enterprise resource, performance objectives, operational activities, and efficiency for corrective actions to be taken. This thesis is a case study of LSP in warehousing management by using IDEF0 methodology to build up its processes as a series of related activities in identifying their priority, control point and resource capability so as to determine system performance and potential problems, if any. Taking the next step in using a FTA which is a top-down approach to failure analysis, starting with a potential undesirable event (shipment discrepancies caused by human error) called a TOP event, determining all the lowest-level basic events and exploring potential risks during system operation. From the process control and risk management points of view, the study generalizes the warehouse KPI and structure model for performance measurement. In conclusion, based on trial calculations, the results demonstrate the proposed model works well and can be a useful tool for the management team to diagnose operational performance across each activity within each level, prioritizing the critical problems under limited resources and resolve them in proper time. By the continuous and incremental periodic upgrade of processes, including the modification of KPI, LSP will effectively improve logistics service quality and reduce operational risk.