I am honored to be able to serve the Quality and Productivity Section (Q&P) as its 2017 chair. Q&P traditionally has been a section for collaboration among statisticians from universities, manufacturing industries, and government agencies. With the recent development of the Internet of Things and Industry 4.0 concepts-in which advanced manufacturing technology, sensor technology, and information technology integrate with equipment and products-the section has contributed many new ideas to leverage Big Data analytics to improve quality and productivity. Meanwhile, traditional statistical methods widely used in Q&P areas such as control charts, design of experiments, and response surface methods have been adopted by many new business sectors such as ecom-merce and social media. There is great opportunity for Q&P members to lead and contribute to this fast-growing trend of data-driven and analytics-backed decision making processes across many industries.
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