Case Study on Supply Chain Analytics

This case study examines the challenges and solutions related to supply chain analytics within the International Transport Unit responsible for managing approximately 20,000 shipments annually. The document outlines the main operational issues, including the inadequacy of current systems in supporting shipping operations and maintaining document flow integrity. The objective of transport optimization is to identify necessary changes to business processes and information systems to eliminate inefficiencies and support personnel in meeting service level targets while minimizing costs. The study identifies specific business challenges, such as sub-optimal hub locations, transportation modes, and product mix constraints. It also details the Blackcoffer methodology, which includes data collection, transportation network modeling, and optimization studies. The results indicate potential cost savings of up to 35% and improvements in service level performance, achieving a 99% on-time delivery rate.