Modeling & Decision

  • Graduate School of Business |

Description

This course introduces students to different approaches, support tools, and analytical methods for decision making in various business supply chain management situations. The objective is to develop the students’ ability to define business problems, construct quantitative models and effectively utilize decision making applications such as Excel Solver.

Program

MBA

Objectives

  • Upon Course Completion Students should be able to: • Develop analytical skills in modeling and decision-making with emphasis on Business, Manufacturing and supply chain applications involving uncertainty and risk. • Introduce analytical quantitative models used in a spreadsheet environment. • Critically assess the models studied and become aware of recent developments in modeling and simulations. • Implement, verify, validate and simulate different models using spreadsheets tools. • Build Decision Support Systems (DSS) and apply mathematical and spreadsheet modeling techniques to business situations to aid decision-making. • Explore how decision support systems can help managers effectively deal with difficult and risky decisions. • Describe and visualize data, estimating unknown parameters and relationships between process inputs and outcomes. • Use models for business intelligence and decision support and evaluate various scenarios to optimize business decisions.

Textbook

Data will be available soon!

Course Content

content serial Description
1General concepts of modeling, simulation and decision support systems&Mathematical modeling of business and manufacturing applications
2Simulation models (Monte Carlo simulation)&Network models and Queuing theory and models
3Optimization techniques&Knowledge management, Data Mining and business intelligence
4Decision Support System Design and Development
5DSS in the E-business

Markets and Career

  • Generation, transmission, distribution and utilization of electrical power for public and private sectors to secure both continuous and emergency demands.
  • Electrical power feeding for civil and military marine and aviation utilities.
  • Electrical works in construction engineering.

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