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Business and Engineering NetworksEnterprise NetworksMission The Enterprise Networks team studies manufacturing and service systems from the perspectives of efficiency, robustness and complexity. The overarching goal is to identify better methods of design, control and management of the networks used to deliver goods and services to customers. Researchers in the group make use of optimization, stochastic modeling, simulation, network flow models, economics, decision theory, statistics, and other tools to model and analyze value chain networks. Because these systems are complex and multi-dimensional, members of the Enterprise Networks group frequently collaborate with colleagues in the behavioral, managerial and engineering sciences. Samples of Current Research Projects Physics of the Cycle Time-Throughput Relationship in Semiconductor Manufacturing (Ankenman, Nelson): This research develops cycle time-throughput curves to represent the production physics of complex wafer fabrication facilities by fitting parametric models to large-scale computer simulations of the fab. The approach combines queueing theory, stochastic simulation and sequential experiment design. (Funded by NSF and Semiconductor Research Corporation) Supply Chain Design for Risk Mitigation (Daskin, Chopra, Coullard): The goal of this research is to design supply chains so that they are robust with respect to a variety of risks including the risk of significant disruptions in parts of the chain. Such disruptions can be due to natural disasters, terrorist incidents or business failures. The stochastic nature of the disruptions, coupled with the interconnected nature of the flows makes the system inherently complex. (Funded by NSF and GM). Principles Based Knowledge Management (Hopp, Iravani, Birnbaum): This research is making use of the principles of factory physics to organize and use information in a firm's intranet to diagnose and improve the performance of manufacturing cells. The approach being used combines decision trees with context based search methods to help a decision maker both ask the right questions and find the right information to solve a specific problem. (Funded by NSF and Motorola) Principles of White Collar Workforce Management (Hopp, Iravani, Uzzi): This research is seeking to identify fundamental principles governing the productivity and effectiveness of professional work, such as sales and engineering. Because such work is collaborative and involves creativity, the modeling framework being used is based on social network representations of organizational communication. (Funded by NSF and GM) Flexibility in Production and Service Operations Systems (Iravani and Van Oyen): This research is making use of the theory of complex networks along with optimization models to study how flexible resources (e.g., multi-functional machines, agile workforce) contribute to the flexibility of an enterprise. The objective is to develop a set of rules and principles that help managers in their strategic decision of how to make the best use of their resources. (Funded by NSF) Convergent Optimization via Most-Promising-Area Stochastic Search (COMPASS) (Nelson): This research develops a framework within which the performance of complex, stochastic systems can be optimized when the system is represented by a computer simulation. COMPASS uses highly adaptive random search to achieve convergence when the controllable decision variables are discrete. (Funded by NSF) Design principles for effective transshipment networks (Smilowitz-Corr and Iravani): The objective of the proposed research is to establish basic principles of and guidelines for design for effective transshipment networks. In these networks, inventory is moved among many locations within a supply chain. Transshipment networks can achieve the benefits of risk pooling while maintaining low inventory levels at individual locations, reducing supply chain costs and improving responsiveness. Coordination of Drayage Operations (Smilowitz-Corr and Ziliaskopoulos): This research is developing strategies to intelligently coordinate the movement of trailers and containers, with a focus on the Chicago freight interchange, a region unique in its size and complexity of operations. (Funded by NSF) Directors Sunil Chopra, MEDS, Kellogg
Wallace Hopp, IEMS, McCormick
Board Affiliated Faculty Philipp Afeche
Bruce Ankenman
Daniel Apley
Baris Ata
Sunil Chopra
James Conley
Mark Daskin
Sudhakar Deshmukh
Wallace Hopp
Tito Homem-de-Mello
Seyed Iravani
Martin Lariviere
Barry Nelson
Sharon Novak
Canan Savaskan
Karen Smilowitz-Corr
Jan Van Mieghem
Rakesh Vohra
Social Organizations and Communication TechnologyMission Transportation systems are complex network systems that integrate the economy and society, providing accessibility to places and mobility to people and goods. Transportation is a key determinant of the location of activities and people, and of the success and satisfaction of people and organizations. It has a major influence on resource consumption and environmental quality. Planning and management of transportation systems is essential to assuring their viability, effectiveness and efficiency in the long run to support social and economic development, and in the short run to respond to daily variations in travel demand as well unexpected disruptions in system performance. Transportation networks are managed by a variety of interacting agents (e.g., government agencies and private firms) at different levels. The location of activities and the movements that occur on transportation networks are primarily user-determined, driven by individual objectives. The functioning of transportation systems is determined by the interaction of atomistic behavior of individuals, decisions made by the network managers and operators, and the characteristics and operations of technology-based systems. Understanding and predicting the functioning of transportation systems, necessary for system management and planning, requires knowledge of both individual and organizational behavior and principles of network operations and control. Research in this field is directed toward understanding, developing and operating transportation systems in time and space to meet broad sets of goals and objectives. Northwestern's transportation research community blends three capabilities:
Faculty Sunil Chopra, Managerial Economics and Decision Sciences Mark S. Daskin, Industrial Engineering and Management Sciences Pablo Durango-Cohen, Civil and Environmental Engineering Tito Homem-de-Mello, Industrial Engineering and Management Sciences Joel Horowitz, Economics Frank S. Koppelman, Civil and Environmental Engineering Barry L. Nelson, Industrial Engineering and Management Sciences Joseph L. Schofer, Civil and Environmental Engineering Karen R. Smilowitz-Corr, Industrial Engineering and Management Sciences Athanasios Ziliaskopoulos, Civil and Environmental Engineering |
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