Improving green computing in business intelligence by measuring performance of reverse supply chains

Increasing attention has been given to green computing in Business Intelligence. This paper specifically considers the measurement of performance in the reverse supply chain. That is because of the increasing value of products and technology at the end of general direct supply chains as well as the impact of new green legislation. Unlike forward supply chains, design strategies for reverse supply chains are relatively unexplored and underdeveloped. Meanwhile measuring supply chain performance is becoming important as the need for data in business intelligence systems increases and the understanding, collaboration and integration increases between supply chain members. It also helps companies to target the most profitable market segments or identify a suitable service definition. This paper describes a synthesis of known theory concerning measuring performance and assesses the state of the art. Strengths and gaps are identified. Some initial results are presented for measuring supply performance in reverse supply chains (using robust methods) and are outlined future research needs.