21 - 30 of 41 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.

This project-based course ( BIOE 371/ MED 271/ OIT 587) exposes students to the challenges and opportunities of developing and implementing innovative medical technologies to help patients around the world. Faculty and guest speakers will discuss trends and issues affecting medical technology innovation in seven primary geographic regions: Africa, China, Europe, India, Japan, Latin America, and the United States. Students will explore key differences between the covered geographies, which range from emerging markets with vast bottom-of-the-pyramid and growing middle class populations, to well-established markets with sophisticated demands and shifting demographics. Students will work in multidisciplinary teams with real-world companies to develop a plan for bringing an existing product to a new global market. Teams will interact with representatives from their chosen company throughout the quarter, as well as with a faculty mentor, and present their recommendations at the conclusion of spring term.

In tandem with OIT 603, this course explores the application of stochastic modeling and optimization to two closely related problem areas: (a) dynamic price selection, and (b) dynamic allocation of limited capacity to competing demands. As background, students are assumed to know stochastic process theory at the level of Statistics 217-218, microeconomics at the level of Economics 202N, and optimization theory at the level of MS&E 211, and to have some familiarity with the basic ideas of dynamic programming. Additional dynamic programming theory will be developed as needed for the applications covered. Emphasis will be on current research topics, especially in the realm of airline revenue management.

In tandem with OIT 602, this course explores the application of stochastic modeling and optimization to two closely related problem areas: (a) dynamic price selection, and (b) dynamic allocation of limited capacity to competing demands. As background, students are assumed to know stochastic process theory at the level of Statistics 217-218, microeconomics at the level of Economics 202N, and optimization theory at the level of MS&E 211, and to have some familiarity with the basic ideas of dynamic programming. Additional dynamic programming theory will be developed as needed for the applications covered. Emphasis will be on current research topics, especially involving customized pricing of financial services. OIT 602 is not a prerequisite for OIT 603 but is highly recommended.

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.

To compete successfully in today's market place, companies need to manage effectively the efficiency of activities to design, manufacture, distribute, service and recycle their products or services to their customers. Supply chain management deals with the management of materials, information and financial flows in a network consisting of suppliers, manufacturers, distributors, and customers. The coordination and integration of these flows within and across companies are critical in effective supply chain management. nnnIn parallel to the development of new practices and concepts in industry, there have been emerging research that are based on (1) structuring new processes and supply chain networks with the new technologies; (2) exploring ways to do planning and make decisions consequently; (3) quantifying the benefits as a result; and (4) aligning the incentives of multiple players in a supply chain when the costs and benefits to these players are different. nnnThis course will examine evolutionary research that focuses on the above themes. We will explore how such problems can be formulated, models can be structured, and analysis can be performed to address information-based supply chain management issues. You are all challenged to think, discuss, share, and debate on the issues brought up. The end result of this course is, hopefully, that we can start defining new, interesting and exciting research paths, and maybe even beginning to pursue some of the research ideas generated.

This course provides an overview of research in supply chain management (SCM). It has three parts. The first part reviews basic tools of SCM research through selected readings in economics, IT and operations research. The second part reviews the literature in SCM, covering topics such as inventory models, information sharing, information distortion, contract design, value of integration, performance measurement, risk management, and the use of markets for procurement. The last part is devoted to recent advances in SCM research.