All sectors of the modern economy rely on fundamental quantitative tools for analysis, prediction, and optimization, to leverage data for the purposes of improving decision making. These tools allow companies and not-for-profit organizations to do more with limited resources. This gives businesses competitive advantages in the marketplace by lowering cost, increasing profits margins, and improving customer satisfaction.
This area includes:
Manufacturing and Service Systems: Designing better manufacturing systems and service operations by creating more efficient and effective facilities and processes that increase customer satisfaction and improve profit margins for businesses and not-for-profit organizations.
Supply Chain Management: Optimizing the efficiency of global supply chains to reduce overall cost and make them more robust to disruptions by managing production, distribution logistics, and inventory control to guarantee a reliable supply of goods at affordable prices to customers.
Scheduling: Developing resource allocation plans to improve the flow of materials and people in manufacturing and service systems to increase efficiencies and improve the quality of the customer experience.
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U-M IOE takes home awards from the INFORMS Annual Meeting
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Xiuli Chao receives funding from J&J to develop algorithms for continuous production process
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Xiuli Chao receives funding to improve the efficiencies of sharing economy
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Jessie Yang receives funding from Dell for analysis of online user-generated data
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Xiuli Chao and Ruiwei Jiang receive MCubed funding for data-driven optimization of online retailing
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