1. Introduction to Smart Factory

A smart factory, which is a state-of-the-art manufacturing system in industry 4.0 era, is a highly intelligent manufacturing system that can produce customized products with minimum cost and time while integrating planning, design, production, distribution and sales with advanced information and communication technology. This course introduces the basics of system and manufacturing systems and then the concept and technologies of smart factory. The details are:

  • 4th industrial Revolution
  • System basics: Basic concepts and Systematic systems approach
  • Manufacturing systems: components, operations, metrics, etc.
  • Smart factory: Backgrounds, Features, technologies
    • (Device, Plattform, Applications)

    2. Linear Programming

    Linear programming (LP), one of basic mathematical programming models, is concerned with modeling and solving linear mathematical models. LP is used widely for optimizing various system problems and particularly., more advanced mathematical programming models. This course gives an introductory-level of LP. More specifically, included are:

    • Introduction
  • Models – Basics
  • Linear Programming Models

    • Linear Algebra – Basics
  • Vectors
  • Matrices 
  • Simultaneous Linear Equations

    • Simplex Method
  • Foundations
  • Algebra
  • Tableau Form
  • others
    • Revised Simplex Method
  • Introduction
  • Algorithm
  • Revised Simplex Method using Product Form of Inverse

    • Duality Theory
  • Formulation of the LP Dual
  • Relationships in Duality
  • Economic Interpretation of the Dual
  • Dual Simplex Algorithm

    • Applications
  • Transportation Problem
  • Assignment Problem

  • 3. Operation Management

    Operations management (OM) is concerned with design and operation of production and service systems. In this course (first semester), you will study the basics and various operational problems.
    Included in this course are:

    • Introduction - history and basics
    • Manufacturing strategy
    • Operational problems
  • Inventory models
  • deterministic and stochastic
  • Toyota production system (JIT: Just-in-Time)
  • Manufacturing Resource Planning (MRP II)
    (Framework - master production scheduling, capacity planning, etc.)
  • Forecasting
  • Operations scheduling

  • 4. Manufacturing Systems Engineering

    Manufacturing systems, which consist of facilities, manufacturing support systems and people, are representative industrial systems organized to accomplish the manufacturing operations of a company. This course introduces manufacturing systems and associated technologies. The detailed topics include:

    • Introduction
    • Overview of Manufacturing
    • Automation/Control Technologies
    • Material Handling and Identification Technologies
    • Manufacturing Systems
    • Manufacturing Support Systems
    • Smart Manufacturing