A continous drive to improve
implementing a competitive and responsive network
In the fast-paced and ever-evolving landscape of the automotive industry, companies like PON Logistics recognize the importance of maintaining an efficient and cost-effective supply chain and warehouse operation. As a key player in this dynamic sector, where responsiveness, precision, and timeliness are critical, the effectiveness of logistics operations directly influences the company’s competitiveness and overall success.
An efficient supply chain ensures the seamless flow of automotive components and products, allowing PON Logistics to meet the demands of a rapidly changing market. Timely and accurate deliveries to manufacturers and distributors contribute to the overall performance of the automotive supply chain. Furthermore, cost-effectiveness in both supply chain and warehouse operations is crucial for optimizing profitability and maintaining a competitive edge in an industry characterized by constant innovation and evolving consumer preferences.
Benchmarking warehouse performance. Proper insight in costs and performance is key.
This introduction sets the stage for understanding how PON Logistics navigates the complexities of the automotive sector by prioritizing efficiency and cost-effectiveness in its supply chain and warehouse operations. As the automotive industry continues to transform, the ability to adapt and streamline logistics processes becomes a strategic imperative for companies like PON Logistics to stay at the forefront of the market.
Over the years we worked closely with the Pon Logistics team to evaluate the logistics efficiency of various warehouses. In addition to monitoring warehouse performance, efforts were made to develop a method for facilitating mutual learning among different locations. The ultimate goal was to meet the high demands for availability, speed, and service while maintaining acceptable costs. Gaining insight into the productivity, performance, and costs of a large warehouse is no easy task. It depends on so many factors that comparing them often becomes an apples-to-oranges scenario. Therefore, extensive research was conducted, leading to the development of a methodology that not only compares costs and performance but also identifies the underlying causes. This approach provides genuine insight into why one warehouse outperforms another.
To ensure accurate and valuable comparisons, we employ an extensive list of dimensions and characteristics, mapping the warehouses across 110 dimensions. These include building dimensions, volumes, a range of costs and productivity features, specific equipment, productivity, and automation.
In this project we used a set of supply chain network models to simulate the different scenario’s and simulate the performance and lead-times: Simulation module of our Spanning Tree platform, Multi-echelon inventory optimization and costs database.