Industrial Engineering, Manufacturing Engineering, Social Media Proficiency, Data Mining, Basic Programming Skills
Global manufacturing operations has mandated evolution of traditional Supply Chain Management (SCM) principles. Current SCM principles utilize methodologies and tools to predict the dynamic nature of a global supply chain, but is still room for improvement to achieve a more accurate product delivery algorithm while addressing uncertainty in the SCM. Social media applications currently utilized around the world present an intriguing possibility in the information flow aspect of global SCM modeling. Supply chain participants can utilize social media to keep track of current situations, such as a delay in shipping or a carrier failed to pick-up a shipment by monitoring supply chain events and transactions. Data mining for information relevant to the supply chain within global social media can provide timely and insightful information about risks and events and enable real-time adaptation and modification to ensure a more robust SCM model. Currently, the use of social media as a verifiable information flow artifact within a glob SCM model has not been sufficiently investigated.
A wide range of research techniques will be used, including literature reviews to understand global SCMs limitations, data mining tools, architecture modeling, and analysis of actual SCM process realization involving real-time information flows. Thus, summer undergraduate students will be exposed to innovative methodologies and techniques in the fields of Industrial and Manufacturing Engineering.