Analysis of value stream mapping for the optimization of supply chain efficiency: case study INDTRAV

Abstract

In response to rising performance demands in the food and beverage sector, this study examines how Value Stream Mapping (VSM) can be applied to improve supply chain efficiency at INDTRAV, an Algerian bottled water company. Despite the full automation, INDTRAV’s 1.5L production line faces persistent inefficiencies, including machine downtime and inventory build-up. Adopting a qualitative case study methodology, the research combines Gemba Walks, interviews, and internal document analysis. Guided by Rother and Shook’s structured VSM approach, the study mapped the current state, identified key forms of waste, and proposed a leaner future state using tools such as Heijunka, Kanban, and FIFO lanes. The results show a potential reduction in lead time, improved workflow synchronisation and global defects rate reduction confirming the relevance of VSM in automated environments.