Queue
Theory

Queue theory was created by Agner Krarup Erlang in 1909, whilst he worked at the Copenhagen Telephone Exchange. He tried to understand the flow of visitor traffic, and why queues build up when they do. He aimed to develop a theory that used the input of variable attributes, quantified with mathematical formulas, to ascertain trends and predict demand upon employer resources. His theoretical knowledge is the basis behind the development of our queue management systems.

Queue management systems have proven to be an essential tool to many organisations who wish to organise their queues, operate more efficiently and enhance their customer’s experience. Organising the flow of visitor traffic provides benefits to businesses and visitors, as the system provides structure and coherence.

Our systems that capture statistics provide valuable information that can be utilised by organisations to develop their own theories behind their queues, but more importantly, they can respond efficiently to visitor demand. Statistics can identify trends, and monitor waiting and serving times, and allow the management of multiple queue categories. Streamlined processes, through queue management systems allows managers to measure performance thresholds

We believe that queuing systems adopted by organisations, should achieve operational economies of scale, with low input and high output, and sustained growth plus a reduction in operating costs.

All types of organisation, in both public and private service sector, have realised that investment in queue management technology and information technology has proven very effective when streamlining front-end services.