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INDUSTRIAL ENGINEERING AND OPERATIONS RESEARCH (IO)



Eligibility for Admission

Candidates having First class or 60% marks (55% marks for SC/ST) in Bachelor's degree in any branch of Engineering with valid GATE score in any discipline are eligible to apply.

Areas of Research

The group is interested in research related to modeling, quantitative analysis and optimal resource allocation from decision problems in deterministic and stochastic contexts. Broad areas of application are in manufacturing systems, supply chains, logistics, transport including railways, finance, services, infrastructures and other industrial systems; application of quantitative methods in quality and maintenance management systems; development and application of decision support, intelligent and knowledge -based systems.

The specific problems of interest include: production planning, scheduling and control systems; management of inventories in production, distribution and service systems; industrial scheduling, facilities planning, project management, quality management, material management and productivity management; operation, planning and control related to CMS, MRP, flexible assembly, FMS, JIT, Supply Chains and ERP; reverse logistics and RFID applications, product variety management.

Operations Research applications in management of technology and resource allocation; optimal control in stochastic systems; applications of game theory, modeling and simulation of supply chains, manufacturing and service systems; theory and applications of distributed simulation, discrete event and system dynamics simulations; applied stochastic models; scheduling and control of railways and other transport operations; time tabling of services, crew and vehicle scheduling for transport operations; optimization and design problems arising from e-commerce, including auctions and mechanism design for electronic exchanges; risk analysis and contract design; revenue management; quantitative models for financial engineering. Theory and applications of neural nets and fuzzy systems in manufacturing and management; development and applications of modern information systems for managing manufacturing, supply chain and service organizations.

The IEOR programme is unique in its contemporary flavour, with new courses in Financial Engineering, Services Management, Knowledge Based Systems, Neural Networks, Supply Chain Management, Engineering Economy, Manufacturing systems to name a few. The programme is equally strong in background building, with updated courses in Optimization Techniques, Stochastic Models and Simulation.






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