The rapid proliferation of digital technology has led to ongoing improvements in the automation of equipment and practices around the world. Deployment of modern smart technology that integrates machine-to-machine communication and the internet of things (IOT) which diagnoses issues without the need for human intervention is getting prevalent. One key trend we have noticed in recent years is the application of an Automated Storage and Retrieval Systems (ASRS), which are computer-controlled systems that automatically place and retrieve loads from set storage locations in a facility with accuracy, precision, and speed.
This alleviates constraints such as manpower deficiency, human errors, and space capacity. This article discusses the key factors that lead to a successful ASRS implementation.
Choosing the Right ASRS
Choosing the right ASRS system is critical to the business. The type of ASRS model chosen depends on the nature of the business, the type of customers or products and the company’s long-term goals in business growth. The model of the ASRS varies by Shelf-based picking, Bin-based picking, or Robotic picking. Selecting the right ASRS model and type will have better returns on investment (ROI) in the long run. It is extremely important to retrieve physical data that consists of both historical and required projections, including inventory levels and SKU velocity classification.
All these data collected can be modelled via simulations to predict the required size and throughput capabilities of the system in the future. The right model must ensure that system configurations such as electrical, software setup, physical and output points of the system can function and keep up with the high demand of all storage and retrieval requests. This helps to determine how the system will impact the entire fulfillment process, including upstream manufacturing processes and downstream shipping operations.