Courses | VD Academic Affairs

Analysis of cost elements. Cost centers, modeling of cost functions, overhead allocation, taxes, depreciation methods, financial reports and performance analysis, break-even analysis, probabilistic and stochastic cost systems.

Models and methods of operations research in solving engineering and management problems, linear programming (LP), simplex method, duality, sensitivity analysis, transportation, assignment and transshipment problems and solutions, network flow models, integer programming (IP).

An overview of project management, proposals and contracts, project scope definition, work breakdown structure, developing a network plan, project scheduling, managing risk, time-cost trade-off, resource allocation and leveling, managing project teams, progress and performance measurement and evaluation (project control), using a project management software, case studies.

Exploring data by using different tools including Data Analysis and Pivot Tables using a spreadsheet software, regression analysis for categorical data, decision analysis involving multiple objectives. Measuring attributes, determining weights of attributes, aggregating benefits, trading benefits against costs, sensitivity analysis, decision analysis under uncertainty, single and multi-attribute utility functions, expected utility criterion, decision trees and utilities, multi-stage decision trees.

Practical work for at least 200 hours on a specific practical Industrial & Management Systems Engineering (IMSE) problem or area in one of the manufacturing or service organization under the supervision of a faculty member and a focal person from the selected organization.

A topic to be selected by the department to address new subjects in Industrial Engineering.

Definitions and concepts of human factors/ ergonomics, man-machine systems, human capabilities. Design of displays and controls. Introduction to engineering anthropometrics and bio-mechanics, design of hand tools and tasks/jobs, introductory manual material handling, design of workstations, environmental conditions.

Review of ergonomic, safety and environmental assessment methodologies, ergonomics applications in process industry, impact of environment on workplace design, control of hazards and risks to employees, facilities, production, and the environment, safety and health regulations and standards.

Facilities planning and its relation to product, process, and schedule design, methods to generate effective layout designs based on flow, space, and activity relationships using analytical, simulation, and computer-aided layout design tools, material handling systems, modeling and analysis of single and multi-facility location problems.

Manufacturing systems and models, high volume production and analysis of production flow lines, assembly systems and line balancing methods, material flow and multi-stage systems, process scheduling with different products, modern manufacturing management systems including just in time and flexible systems, applications of analytical and simulation models in manufacturing systems.

High Volume Discrete Parts Production Systems, CAD/CAM fundamentals, Numerical Control (NC) Manufacturing Systems, part programming, NC justification advances in NC (CNC, DNC, Adaptive Control), tooling for NC and CNC, overview of group technology, Flexible Manufacturing Systems (FMS), and robotics in manufacturing, related laboratory experiments.

Reliability theory and modeling approaches, topics include: failure data analysis, maintainability, reliability models, reliability and maintainability systems, applications and implementation issues and case studies.

Methods of production planning, deterministic and stochastic inventory control models, short to intermediate production planning decisions using quantitative techniques, forecasting techniques, aggregate production planning, material requirements planning, production scheduling models.

Identification of bottleneck impact of human performance on productivity, effect of the interaction between technological advances and human capabilities on performance and productivity, cost reduction and productivity improvement programs.

Understanding the concepts of quality in products and services, specifications and tolerances, design of quality control systems, quality control techniques, statistical process control charts for variables and attributes, acceptance sampling techniques, operating characteristics curves, process capability analysis, international quality standards, total quality management (TQM), quality control software.