Competitive success of manufacturing firms is by and large determined by the success of the products they introduce to the market. This is why companies continuously try to improve the efficacy of their product realization process. Product Lifecycle Management (PLM) is a business solution which aims to streamline the flow of information about the product and related processes throughout the product's lifecycle such that the right information in the right context at the right time can be made available. Yet, few organizations are positioned to reap the true benefits of PLM. One major reason for this is a lack of clear understanding of what PLM is, its core features and functions, and its relationship to the myriad of current software tools. This paper aims to do that and also elaborates on the role of PLM as a knowledge management system.

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In modern manufacturing era, supply chains are increasingly becoming global and agile. To build agile global supply chains, companies first need to have access to a large supply base and secondly need an efficient mechanism for cost-effective and rapid location, evaluation, and selection of suppliers. This work introduces a matchmaking algorithm for connecting buyers and sellers of manufacturing services based on their semantic similarities in terms of manufacturing capabilities. The proposed matchmaking algorithm operates over Manufacturing Service Description Language (MSDL), an ontology for formal representation of manufacturing services. Since MSDL descriptions can be represented as directed labeled trees, a tree matching approach is implemented in this work.