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PROJECTS
AFFILIATED FACULTY
AFFILIATED LABORATORIES
EXTERNAL SUPPORT
- Electric Power Research Institute (EPRI)
- ARO
- AFOSR
- NSF
- AFRL
- HP
- Nokia Corporation
- Alcoa Research Center
- Foresight, Nu Thena Systems Inc.
AFFILIATIONS
- Analog Devices, Inc.
- MIT Laboratory for Information and Decision Systems (LIDS)
- Coordinated Science Laboratory, University of Illinois, Urbana-Champaign
- Sycamore Networks, Inc.
- Draper Laboratory
- Foresight, Nu Thena Systems Inc.
- Genuity Corporation
- Tellabs Operations Inc.
- Los Alamos National Laboratory
- Nokia Research Center
- HP
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MANAGEMENT of COMPLEX PRODUCTION and SERVICE SYSTEMS
Today's time-based competition environment of the integrated worldwide market is full of opportunities, but it is also full of new and formidable challenges. Tractable modeling and optimization of the complex stochastic dynamics of production systems and supply chains is of paramount importance to achieving critically needed productivity gains. The modern enterprise needs to combine the advantages of lean manufacturing (low inventories, homogenous and stable cellular production technology) with the advantages of agile manufacturing (adaptivity to stochastic market dynamics, fast and efficient response to stochastic production dynamics).
We synthesize mainstream management science methodologies (Operations Research and logistics) with control theory and applied probability approaches to address the new challenges of today's marketplace. New results in information system architectures allow us to achieve efficient decomposition of complex stochastic dynamic systems based on the recognition and classification of sub-system dynamics characterized by distinguishable time scales. Our approach enables the coordination of decentralized and hence tractable subsystems without sacrificing optimality.
The synthesis of control theory, mathematical programming, and stochastic systems disciplines has allowed us to explore, until recently, virgin territory. Significant contributions have been achieved amongst others in hybrid control, stochastic scheduling and manufacturing flow control, rapid learning and sensitivity analysis, dynamic lead time production planning, supply chain inventory control under uncertain auto-correlated production and demand conditions, and dynamic resource allocation.
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