Dynamic Control of a Flow-Rack Automated Storage and Retrieval System

TL;DR

This paper introduces a real-time control scheme for a flow-rack automated storage and retrieval system using coloured Petri nets, optimizing bin retrieval locations to enhance throughput and efficiency.

Contribution

It presents a novel control approach combining Coloured Petri nets with an optimization module for real-time decision-making in AS/RS systems.

Findings

Optimized bin retrieval locations reduce total retrieval cycles.

System throughput is increased through the proposed control scheme.

Real-time decision process improves retrieval efficiency.

Abstract

In this paper we propose a control scheme based on coloured Petri net (CPN) for a flow-rack automated storage and retrieval system. The AS/RS is modelled using Coloured Petri nets, the developed model has been used to capture and provide the rack state. We introduce in the control system an optimization module as a decision process which performs a real-time optimization working on a discrete events time scale. The objective is to find bin locations for the retrieval requests by minimizing the total number of retrieval cycles for a batch of requests and thereby increase the system throughput. By solving the optimization model, the proposed method gives according to customers request and the rack state, the best bin locations for retrieval, i.e. allowing at the same time to satisfy the customers request and carrying out the minimum of retrieval cycles.