11 - 16 of 16 results for: OIT

This course offers an overview of eight technologies for enterprise computing. They are: ERP (Enterprise Resource Planning), EAI (Enterprise Application Interface), data mining, cloud computing, eCommerce, RFID/NFC, mobile technologies, and social network data analytics. On each topic, we discuss underlying technologies and applications using a variety of business cases.

In this course we will have a series of guest speakers who will discuss real businesses applying various technologies. Students come to class prepared by reading the assigned material and discuss the topic with the speakers in class. The course will provide opportunities to learn how different technologies are integrated to create values to end users. Students are expected to have some basic understanding of technologies and review them with readings on their own, so we will not discuss the technology per se in class.

The first part of the course reviews fundamental models in inventory management. Topics include deterministic models (EOQ, power-of-two policies, ELS, serial and assembly networks), Newsvendor, multi-period stochastic models under backlogging and lost-sales, multi-echelon and supply chain models, and infinite-horizon formulations. In the process, the course also reviews several fundamental mathematical concepts in inventory theory, including convexity, duality, finite / infinite state Markov decision processes, and comparative statics.nThe second part discusses advanced modeling concepts, and several new application areas. Topics include distribution-free and robust models, supply uncertainty and disruptions, flexibility and supply chain design, joint pricing and inventory, and problems at the interface of supply chains and finance.

This course is offered for students requiring specialized training in an area not covered by existing courses. To register, a student must obtain permission from the faculty member who is willing to supervise the reading.