Consolidating Logistics Control Attributes (CLCA)

This project identifies and fully documents categories, types, purpose, attributes and sources of information associated with the movement of materials and equipment on capital projects. In addition, this project will develop interoperability compliance strategies.

Benefits

The development of a comprehensive supply chain dataset ensures that all information associated with the handling of materials are identified, organized and structured into a consolidated framework. The supply chain dataset provides the foundation for development of a fully interoperable supply chain information exchange schema, which will comply with industry-ratified interoperability protocols, structures and standards. In addition, heightened awareness of the richness of information generated by logistics operations provides the bases for determining the applicability and viability of advanced analytical techniques to enable realization of Next Generation Project Performance Predicting (NP3).

Opportunities/Status

This project was launched Q1, 2012 and is in the formation phase. To ensure completeness and viability, stakeholders and SMEs from any Materials Management Enterprise area are invited to participate and/or cosponsor in this project.

Fiatech Staff Project Manager

Reg Hunter, This e-mail address is being protected from spambots. You need JavaScript enabled to view it.

Project Lead

Ken Long, Panprojects

Technical Leads

Paul Parkin, HAL Inc.

Additional SMEs needed to identify and develop optimal approach to this project including: refining success criteria and setting expectations; developing requirements, delineating tasks, refining deliverables; allocating and managing action items; setting and maintaining schedule; defining procurement system data exchange content and methods; determining interoperability criteria & cross referencing to support BIM, master scheduling systems, workface planning systems, workflow management systems, and operations & maintenance systems; determining extensions and provisions to support next generation sensor analytics (e.g. spectrometer PMI data and laser scanner dimensional data); determining tracking and reporting methods; provisions for supporting geospatial information; defining categories and time coding needs to support NP3 project capability; reconciling materials and equipment identifier needs; and linkages needed to interface with EMSA sources.