Configuration a Meter Data Management System using Axiomatic Design

Smart grids are energy networks that can monitor energy flows providing to consumers and suppliers information on real-time consumption. The EU intends to replace at least 80% of electricity meters with smart meters by 2020. Meter data management (MDM) is a critical component to realizing the potential of smart grids infrastructure and facilitates the distribution of the meter data across the utility enterprise by consolidating reading data from multiple collection systems into one MDM. Most meter data management systems, on the market, integrate multiple collection systems, calculate billing determinates and do validation, estimation and editing of meter data. When IT departments from utility industry arrive to implement a meter data management solution, it's critical to understand the key features, true system capabilities which distinguish each, and to understand whether those features can perform, minimize the number of functionalities or eliminate redundant functionalities. As a result, configuration a MDM system in an efficient manner with optimal number of functionalities is a hard work. This paper explores Axiomatic Design as an approach to configure an optimal meter data management system solution tailored to the client necessities