Life cycle data management: first step towards a new product lifecycle management standard

Abstract

Nowadays, companies need to focus on efficiency problems, assuring, at the same time, products to be compliant with quality standards, providing a full product support and managing suppliers' and customers’ relationships. According to these needs, product is reassuming a central role as enterprise value creator. In literature, many authors agree that a correct and effective management of the product lifecycle could reduce costs by gaining, meanwhile, a higher customer satisfaction and brand loyalty. This kind of approach needs an integrated management of all product-related information and calls for a wide standardisation activity. Today, a data model, capable of collecting all the information regarding the product along its lifecycle, is still missing. This article aims at providing a concrete answer to this urgent industrial need, presenting the steps taken towards the creation of a new product lifecycle management standard, named life cycle data management. The development of this new standard is an effort to provide an effective and reliable information model to manage all product lifecycle data and information

Energy consumption model and energy efficiency of machine tools: a comprehensive literature review

“…It is difficult to provide adequate support for decision-making due to many studies often using historical or experimental data (Taisch et al, 2011). So, current challenges are the lack of reliable real-time energy consumption data and how to implement data transfer and sharing.…”

Factors that influence product life cycle management to develop greener products in the mechanical industry

“…This includes raw material resources and the services rendered to the final customer (Kainuma and Tawara 2006;Taisch, Cammarino, and Cassina 2011). SCM activities are influenced by a number of variables, including product type, product life cycle, customerrequested changes, introduction of new technologies, regulatory pressures and market competitors (Santos and Forcellini 2009).…”

Early problems identification in collaborative engineering with different product data modelling standards

“…One of these standard is based on a strategy in which a product life cycle is divided in the following phases: (1) beginning of life (BOL), which is focused on a product development and product supply; (2) middle of life (MOL) and (3) end of the life (EOL), as shown in Figure 1 (Taisch, Cammarino, and Cassina 2011).…”

“…The main focus has shifted more to manufacturing knowledge, customer satisfaction and activity-based costing through the integration of products and services as a basis of competitive strategy (Chan 2003;Phumbua and Tjahjono 2012). Companies are focused on their internal and external efficiency improvements and cost reductions and ways of fostering innovation into their processes (Taisch, Cammarino, and Cassina 2011). Product development cycles have been reduced due to the integration of all of the product-related data into the Product Life Cycle Management process, supporting simultaneous information about all stages of the product life cycle, spanning from design to logistics, customer support, to disposal and recycling (Lee 2000;Molina, Aca, and Wright 2005).…”