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Data Analytics in the Global Product Development Supply Chain
Abstract
Managing distributed and delocalized production is one of the essential characteristics to address in the recent market globalization in the manufacturing industry. In this environment, heterogeneous enterprise applications, either manufacturing or supply chain management, either inside a single enterprise or among network enterprises, require sharing information. Thus, information management has become a significant driver for management and product development in networked enterprises. This article describes an information systems framework for the global product development environment. Several applications involved in manufacturing enterprises may refer to the knowledge, which embeds in it, appropriately storing all its technical data based on a standard model for product development purposes. Then it identifies critical categories of big data analytics applications for the key businesses of the supply chain operations reference (SCOR) model. Finally, the article presents a big data framework for supply chain management (SCM).
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