A Framework for Safe and Efficient Fishbone Layouts in Warehouse Operations

Abstract

The adoption of Industry 4.0 technologies has transformed warehouse management, enhancing its efficiency, accuracy, and profitability. However, optimising warehouse layouts, particularly fishbone designs, remains complex and often relies on intricate mathematical models that are impractical for workers to implement. Addressing this gap, this study proposes a straightforward methodology for generating optimised fishbone layouts adaptable to various warehouse sizes. The framework integrates warehouse, product, and forklift dimensions, leveraging Prolog to calculate aisle widths, row numbers, and forklift turning capabilities. This dynamic approach optimises safety and operational efficiency while simplifying decision-making processes. Validation through real-world scenarios demonstrates the model's adaptability and effectiveness across diverse setups, ensuring safe forklift navigation and efficient space utilization. By bridging the divide between theoretical models and practical application, this methodology offers warehouse operators an accessible tool for layout design. The findings contribute to warehouse optimization research, providing a scalable and efficient solution for optimising space and operations in warehouse management systems.

Keywords

• aisle configuration
• automation
• fishbone layout
• prolog
• warehouse design