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Online Course

Simulation of Business Systems: An Applied Approach

Indian Institute of Technology Kanpur and NPTEL via Swayam



The application of computer simulation to industrial settings is taught. The course will introduce the basic concepts of computation through modeling and simulation that are increasingly being used by architects, planners, and engineers to shorten design cycles, innovate new products, conduct process improvements, optimize system performance, and so on. Areas covered include system structure, system analysis, model construction, data collection, and computer simulation languages. The students will gain skills on scientific study of open ended business problems by designing a representative model, implementing the model, completing a verification and validation process of the model, conducting experiments with the model for establishing performance measures, reporting on the model in written form, and changing the model to reflect corrections and modifications to do alternative analysis.

INTENDED AUDIENCE : Students of all Engineering and Science disciplines. PREREQUISITES : The student should have completed six semesters of UG Engineering or Science program. INDUSTRY SUPPORT : Manufacturing companies: HAL, NAL, SAIL, ISRO, BHEL, L&T, BEL, BDL, TATA, DRDO,Automotive manufacturers, DELL, HP, Pharmaceuticals, Johnson & Johnson, Abbott, UPL, etc.Service Industries: Banks (SBI, UBI, HDFC, ICICI, Canara Bank, PNB, etc.), Hotels (Taj, Oberoi,Accor group (IBIS, NOVOTEL, PULLMAN), Holiday Inn, Leela Kempinski, etc., Shopping Malls,Airports (GMR, GVR, etc.), and so on.  


COURSE LAYOUT • Introduction to Simulation • Simulation and decision process • Complex systems • Introduction to Arena and SIMAN • Single server simulations • Monte Carlo simulations • Validation and verification of simulation models • Designing experiments using simulation • Simulation of production shop systems • Sensitivity analysis using simulation • Alternative analysis • Service industry simulation • Call center simulation • Network simulation • Logistics simulation • Optimization of system using simulation

Taught by

Prof. Deepu Philip

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