| Name: | Description: | Size: | Format: | |
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| 12.64 MB | Adobe PDF |
Advisor(s)
Abstract(s)
In an increasingly competitive automotive sector subject to rapid transformation, efficient supply chain management emerges as a critical component for success. In this context, this study explores a Kanban system within an automotive supplier to address the challenges of demand variability and inventory management. Employing an Action Research methodology, the case study unfolds four iterations, each advancing the Kanban solution towards greater efficiency and responsiveness. The initial phase identifies the critical issue of demand variability in part components, prompting a solution that integrates outlier analysis for forecast accuracy. Subsequent iterations refine this approach, evolving from fixed safety margins to a dynamic system based on service levels. A significant breakthrough is achieved in the latter stages, where the demand is aligned with the maximum machine consumption capacity, transitioning from weeks to days in lead time. This adjustment results in a notable reduction of Kanbans, effectively covering forecast peaks and optimizing space utilization. The final solution, entails a reconfiguration of storage racks tailored to the revised Kanban requirements. The outcome demonstrates a significant improvement in inventory management, aligning with the real-time production needs and showcasing the efficacy of a tailored Kanban system in a high variability environment.
Description
Keywords
Supply chain Just-in-time Supplier Kanban Consignment