Professional IE Courses

Professional IE Courses

Core Courses

Introduction to Industrial Engineering. Introduction to industrial engineering with regards to the historical background of engineering and industrial engineering, fundamentals and related disciplines of industrial engineering, and the directions of industrial engineering.

Advanced Mathematics for Industrial Engineering. Matrices, determinants, systems of linear and nonlinear equations, elements of error analysis, real roots of an equation, polynomial approximation by finite difference and least-squares method, and numerical solution on a system of linear and nonlinear equations.

Industrial Materials and Processes. Industrial materials and processes and their effects on production system decisions. Metals, plastics, glass and ceramics, elastomers, wood, pulp, and other common engineering materials, their uses, and their production processes.

Industrial Organization and Management. Introduction to management; decision-making; the functions of management; managing production and service operations; managing the marketing function, and managing the finance function. 

Statistical Analysis for Industrial Engineering 1. Basic statistical concepts and principles, probability distributions of random variables and their uses, linear functions of random variables, and their applications to data analysis and inference. Estimation techniques for unknown parameters, hypotheses testing, and non-parametric tests.

Statistical Analysis for Industrial Engineering 2. Regression, correlation, analysis for variance (ANOVA), design of experiments, and their applications in Industrial Engineering.

Work Study and Measurement. Process charting and analysis. Work sampling. Time study. Computerized Work Measurement. Predetermined Motion Time Systems (PMTS): Methods-Time Measurement (MTM), Work factor, and Standard data. Wage payment and incentive plans.

Operations Research 1. Development and application of fundamental deterministic optimization models and various solution methods. Quantitative modeling, formulation, analysis, and interpretation of linear integer and non-integer models and network flow problems.

Operations Research 2. Concept and solution approaches of advanced optimization models and their application to engineering. Goal programming, dynamic programming, decision theory, game theory, Markov models, and queuing theory.

Quality Management Systems. Principles and practices of quality management systems (QMS); tools and techniques utilized in quality management systems. 

Project Feasibility. Phases of project feasibility studies. Project development, evaluation, and management. Market, technical, financial, and social profitability study. Management study and schedule. Project study and presentation.

Ergonomics 1. Scope and Focus of Ergonomics. Visual Sense. Auditory Sense. Vestibular Sense. Anthropometry. Biomechanics. Musculoskeletal Disorders. Manual Material Handling. Workstation Design.

Ergonomics 2. Signal detection theory, vigilance, information processing, learning, memory, mental workload, visual and auditory displays. Usability engineering. Relation of cognitive limitations to the design of effective products and interfaces. 

Operations Management. Production control, inventory policy, facilities planning, methods improvement. Technological assessment and revenue management.

IE Industry Immersion. On-the-job training or industry internship. (240 hours).

Supply Chain Management. Basic concepts in managing the complete flow of materials in a supply chain from suppliers to customers. Design, planning, execution, monitoring, and control in supply chain management.

Information Systems. Concepts and frameworks of information systems. The computer resource. General systems model of a firm. The systems life cycle. Analysis and design of information systems.

Systems Engineering. Total systems analysis and design. Integration of subsystems with a concentration on optimal total systems and implementation. Systems design and engineering process. Design for operational feasibility. Systems engineering management. Strategic management for industrial systems.

IE Capstone Project. Capstone project that will demonstrate the student's research or design ability. The project may be an industrial engineering research or a design of a system, component, or process.

IE Electives (electives may vary in different university)

Industrial Quality Control. Factors affecting variation in product quality; Control Charts; techniques for acceptance and reliability testing; failure distribution, redundant systems, models of repair and maintenance.

Seminars and Plant Visits. Study of industrial and manufacturing processess and services; plant visit to various manufacturing and service companies.

Facilities Planning and Design. Principles and practice of the planning of facility layout and material handling equipment for manufacturing and service systems. Analytical approaches in site location, facility layout, material handling, and storage systems. Systematic procedures and computer-aided techniques.

Total Quality Management. An introductory course about total quality management (TQM) which aims to create and maintain the mechanism of an organization's continuous improvement. Topics include the following: quality basics and history, the concept of total quality, organization for total quality and process management, quality teams and teamwork processes, quality standards and award models, TQM implementation and case studies, Quality through improvement, Quality through planning and design, Quality through innovation, Quality through IT.

Personnel Management. Topics include human resource management, the manager's role in HRM, job analysis, personnel planning and recruiting, employee testing and selection, training and developing employees, performance management and appraisal, establishing strategic pay plans, labor relations, and collective bargaining and managing human resources in entrepreneurial firms.

Additive Manufacturing. Basic principles of additive manufacturing, additive manufacturing processes, designing for additive manufacturing, materials for additive manufacturing, related technologies, applications. Introductory 3D modeling.

Lean Six Sigma. Overview of Lean Six Sigma. DMAIC process, value stream mapping, lean concepts and controls, six sigma concepts, and tools.