The extremely volatile and competitive electronics manufacturing industry are continually searching for ways to increase efficiency of their supply chain, and reduce manufacturing costs. In the many current resources that forecast OEM/EMS supply chain demands, the process is conducted through the analysis of current customer inputs and confirmation supplier orders. The limitation of current or present data impedes on the effectiveness of predicting a supply risk, as it does not correctly address historical inputs with the daily emotional activity of all the actors in a market. The paper will specifically focus on the relationship between ERP historical data and global distributor supply data by profiling each actor in the environment as it relates to fulfilling all necessary components for a product. Thus, we examine the ways in which big data technologies have and will continue to increase the agility of the electronics manufacturing supply chain, by applying our analytic results to three particular issues: the obsolescence risk for overstocked parts, the risk of production cycle interruption induced by stock shortages, and the negative impact of volatile lead times on lifecycle management.
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