Production Information Systems Lab

The main focus of the PIS(Production Information Systems) laboratory is to study reliability systems about electronic and mechanical parts such as DC-DC converters, LEDs(Light Emitting Diodes) and BLDC motors using Functional Safety and PHM(Prognostics and Health Management). The scope and main topic of PIS are as follows :

1. 1. Hardware Reliability
   - Electrical and electronic components such as LED(Light Emitting Diode), BLDC Motor and Driver
2. 2. Functional Safety
   - IEC 61508, ISO 26262
3. 3. PHM(Prognostics and Health Management)
   - Data Driven Approach
   - Physics of Failure Based Approach
   - Hybrid Approach

Business Logistics Lab

• - Supply Chain Management (SCM) : design, operation, and evaluation
• - Business Logistics : Transportation, Warehousing, Inventory Management
• - Modeling and optimization of large scale logistics systems such as Container Liner and Railway systems
• - Computer Simulation of Manufacturing/Distribution/Supply Chain
• - Theory of Constraints (TOC)

UDM Lab

In the UDM (Unified Digital Manufacturing) Lab., we study & research next generation simulation areas in connection with evolutionary learning & knowledge acquisition. We learn practical problem solving methodologies based on theoretical foundation. Covered areas are automotive industry, semiconductor and display, ship & steel Industries, and Military problems. We are currently performing various research & development projects related to design and execution program validation using HILS (Hardware-in-the Loop Simulator), evolutionary learning monitoring and control, and diagnosis/maintenance. Militarily acquisition problem in connection with knowledge acquisitions and intelligent decision support systems to operation & diagnosis problems are also studied using evolutionary case based learning.

- Research areas includes

1. Knowledge Acquisition based on classification, Cases & Big Data Analysis, and knowledge engineering

2. Digital Manufacturing based on HILS or SILS (Software-in-the Loop Simulator)

3. Intelligent System Design and Agent based Software Engineering

4. Evolutionary learning SILS Framework

- Funding

When students or researchers participate in some projects, funding is given depending on research capability.

HCI & Human Factors Lab

The Human Interaction Laboratory carries out progressive and dynamic research projects and practice. Graduates can enter the competitive research community or professional industry, as the goal of the lab is to contribute to the develpoment of society through developing high-quality human resources.

Ergonomics / HCI promotes research and development of jobs, machines, methods, equipment, and environment, in order to improve designs and ease of operation with innovative products and services.

IT Systems Lab

IT Systems laboratory carries out research on cloud computing (Hadoop & MapReduce for big data processing), fault-tolerant computing (fault detection/recovery for system dependability), and In-vehicle network design (FlexRay, CAN, and CANopen for safety-critical embedded software).

Modeling & Simulation Lab

M&S Laboratory deals with the modeling of simulation of various systems including manufacturing systems (semiconductor, LCD, automobile and ship building industries), and weapon systems for defense. Currently, M&S Lab is running multiple projects with major manufacturers (DSME, HanKook Tire, Hyundai/Kia Motors, LG CNS) as well as the Agency for Defense Development (ADD) of Korea. Graduate students in the M&S Lab. can join various projects which they want to be involved in.

Web-enabled Enterprise Systems

The main focus of our laboratory is to solve complex problems that commonly occur in enterprise systems. The scope of the enterprise systems is broad, including companies, corporations, organizations, and military and government agencies. Using state-of-the-art industry equipment, such as web-accessible production facilities and simulation devices, the solutions are verified and validated up to the system’s level. The research activities have been funded by the Department of Education (USA), the National Science Foundation (USA), IBM (USA), Brown & Sharpe Company (USA), National Research Foundation (Korea), Agency for Defense Development (ADD, Korea), etc.

ErgoDynamics Lab

ErgoDynamics Laboratory (ED Lab) performs research on work design, ergonomics, and product development to resolve the problems of industrial productivity, occupational safety, and product usability.

As indicated in its name, ED Lab improves working methods of manufacturing and service industries, educates people in occupational safety programs, and creates user-friendly products by developing biomechanical knowledge on the basis of kinematics, kinetics, and electromyography. ED Lab, established in Industrial and Information Systems Engineering at Ajou University in 2005, has endeavored to conduct the world's best research with the best researchers.

Production Quality Design Lab

Our Lab studies DFSS. DFSS is a separate and emerging business-process management methodology related to traditional Six Sigma. While the tools and order used in Six Sigma require a process to be in place and functioning, DFSS has the objective of determining the needs of customers and the business, and driving those needs into the product solution so created.

To develop the skill of DFSS, we study about quality control, cost accounting, engineering economics and universal design.

Since its establishment in 2007, the PQD Lab has grown to include 4 Ph.D. Students, 2 M.S students, and 1 undergrated student, who study in the areas of DFSS. The laboratory works to make the base of the Process of DFSS economically.

Opportunities for undergraduates and graduate students are available for thesis research and on-going projects.

CAD Lab

The CAD Lab is an interdepartmental laboratory in the School of Engineering with four major goals:

• the development of various engineering oriented applications using commercial/open CAD APIs to the manufacturing enterprise
• the integration and synthesis of CAD/CAM/CAE/PDM/ERP systems
• the study of the fundamental principles of product lifecycle management (PLM) including geometry modeling, virtual reality application in design, and knowledge-based information systems
• the education of creative programming engineers.

Data Mining Lab

Welcome to the Data Mining Lab at Ajou University. Data sets with millions of records and thousands of fields are increasingly common in business, engineering, medicine, and the sciences. With the amount of data doubling every few years, the problem of uncovering hidden patterns or extracting useful information from such data sets is becoming an important practical issue. Research on this topic focuses on key questions such as how can one build useful models which both allow us to make predictions and also aid us in figuring out the underlying process of the data generation. Research projects in our lab use theories and techniques from the intersection of computer science, statistics, and mathematics, including foundational ideas from algorithms, artificial intelligence, multivariate data analysis, Bayesian estimation, and computational statistics (from statistics), and optimization and probability theory (from mathematics). Machine learning and pattern recognition, in particular, are central to our research, providing both a sound theoretical basis and a practical framework for developing useful data analysis algorithms.

Research activities in our lab range across areas as different as hospital fraud detection, direct marketing in CRM, oil price prediction, protein function prediction in bioinformatics, etc. We hope you find our web-site useful and encourage you to explore its contents (publications, courses, seminars, and other information).

System Management Optimization Lab

Decision making problems that occur in the operation of resource constrained systems can be classified into two areas: (i) logical control ensuring operational correctness of resource allocation and (ii) performance control ensuring operational effectiveness. In order to resolve these problems efficiently, it is very important to analyze and utilize various kinds of available data. In our laboratory, we try to understand, formulate, and analyze optimization problems from production and information systems, while providing efficient solutions for supporting those decision problems. Application areas include the scheduling problem in semiconductor and LCD fabrications, the revenue management problem in cloud computing, and the sales & operations planning in production systems.

Information Management Lab

The Information Management (IM) Lab. is focused on general information processing activities, related to a wide area of the information/media industry. Reflecting the needs of IT-related business, research fields of the IM Lab include telecommunication systems, devices, and services as the first movement of communication. Also, we have design/operation schemes for various integrated information systems as extended research and development areas.

Technology Management Lab

The TM Lab aims to develop excellence in technology management, bringing together expertise in management, technology and policy with three major goals:

• - The forecast of emerging technologies and relevant issues to develop creative and practical solutions for them
• - The development of a method for technology-related decision-making across the spectrum of business activities, providing comprehensive support to managers and policy-makers
• - The education of students to be leaders of business or technology enterprises

To meet the goals, we take a cross-disciplinary approach addressing the full range of strategic technology management issues including technology roadmapping, intellectual property and patent strategy, technology-based service innovation, and emerging technology management. Researchers are encouraged to collaborate with industry or government bodies, and also work closely with other labs of academic excellence around the country. Opportunities for undergraduates and graduate students are available in the relevant research and on-going projects.