Enabling through life product-instance management: Solutions and challenges

Abstract

Developments in the area of radio frequency identification (RFID) and sensor network technologies have created new possibilities for product lifecycle management (PLM). These technologies are enabling building blocks upon which various business applications for product management can be built. A significant aspect in the through-life management of products is the gathering and management of data related to the product during the various phases of its lifecycle. Both RFID and wireless sensor technologies have created novel levels of product status visibility and automatic identification with granularity to the level of individual components. We consider three approaches that leverage automatic identification technologies and miniaturised wireless sensors to support PLM strategies at the product instance level based on a product centric computing paradigm. The paper draws upon a number of case studies focusing on the various phases of a product's lifecycle: Beginning of Life, Middle of Life and End of Life. We used the case studies to extract technical, capability and information requirements needed to support PLM strategies. We compared the ability and suitability of existing architectural approaches to meet the key requirements we identified. Furthermore we assessed them to evaluate their level of support for managing product instances at different lifecycle phases. Finally, we present an extension to significantly improve the ability of the most promising architecture for supporting PLM strategies. © 2010 Elsevier Ltd. All rights reserved.