Industrial Engineering
College of Electrical Engineering and Computer Science - Industrial Engineering
About US
Established in 1964, the Department of Industrial and Systems Engineering is one of four departments in the College of Electrical Engineering and Computer Science. All of the twenty-two full-time faculty members have received Ph.D. degrees. Additionally, Dr. Bruce Schmeiser , one of the world’s leading professors in simulation, is also on board as a chair professor.
The department`s mission is to train students with an engineering background specializing in solving problems and making decisions. Particular concentration has been directed to production planning, quality management, information technology, as well as systems and procedures analyses. Practical applications of production-oriented operations, research techniques, computer programming fundamentals, and ergonomics are also emphasized. In recent years, the department has developed a close relationship with neaby factories.
Undergraduate Students | ||
Objectives | Outcomes | |
Objective 1 |
To train students to apply knowledge and principles of mathematics, science, engineering and management to solve industrial and systems engineering (hereinafter referred to as professional) problems. |
1.1 Possess the ability to define and solve professional issues.
1.2 Possess the ability to integrate interfaces in a system and process design and management. |
Objective 2 | To enhance students’ professional capabilities of practical applications | 2.1 Possess the experience to analyze and solve practical problems.
2.2 Possess the ability to write and present reports. |
Objective 3 | To train students to enrichprofessionalism. | 3.1 Possess the knowledge to be socially responsible, to have safety consciousness and environmental awareness, to make ethical decisions.
3.2 Possess the ability to work, communicate and lead in a team setting. |
Objective 4 | To train students to be innovative and think globally. | 4.1 Possess the passion for continuous learning and innovation.
4.2 Possess basic foreign language proficiency, familiarize with current events and understand international perspectives. |
Graduate Students
Graduate Students | ||
>Objectives | Outcomes | |
Objective 1 | To train students to apply knowledge and principles of mathematics, science, engineering and management to solve industrial and systems engineering (hereinafter referred to as professional) problems. | 1.1 Possess the ability to discover, comprehend, and independently solve professional problems.
1.2 Possess the ability to integrate interfaces in system planning, process design and management. |
Objective 2
Master |
To train students to apply the systematic thinking and professional theories. | 2.1 Possess the ability to research and execute projects.
2.2 Possess the ability to organize and write research articles. |
Objective 2
Ph. D |
To train students to apply the systematic thinking to conduct academic researches and applications. | 2.1. Possess the ability to lead, plan and conduct research projects.
2.2. Possess the ability to consolidate and organize for writing research articles. |
Objective 3 | To train students to enrichprofessionalism. | 3.1 Possess the knowledge to be socially responsible, to have safety consciousness and environmental awareness, to make ethical decisions.
3.2 Possess the ability to lead and communicate in an interdisciplinary teamwork setting. |
Objective 4 | To train students to be innovative and think globally. | 4.1 Possess the passion for continuous learning and innovation.
4.2 Possess basic foreign language proficiency and understand international perspectives. |
4.1 Possess the passion for continuous learning and innovation.
4.2 Possess foreign language proficiency and understand international perspectives. |
Job Prospect and Employment Opportunities
Employment: Industrial & systems engineering graduates are in great demand; on average, each graduate has at least two or more job offers. With the reputation of being hard-working and pragmatic, the alumni have strong presence in the industries. The Alumni’s job distribution at various sectors is tallied as follows: about 42% are in the manufacturing sector (including electronics and high-tech industries); 11% are in the governmental sector or military services; 4% are in the service industry; 7% are in the business sector; 7% are in the information technology field; 29% are in miscellaneous job sectors. In recent years, about 90% of alumni with graduate degrees and 50% with undergraduate degrees worked in the high-tech industries.
Advanced Education: Industrial & systems engineering graduates have opted to study at graduate schools in Taiwan or abroad.
Career Option and Change: Students are encouraged to double-major or minor in other engineering or business management disciplines. After graduation, the students have the capabilities to explore diverse job fields including business management, information technology, information management, hospital management and other areas.
Civil Service Exams: Students are eligible to take civil service exams in industrial engineering and industrial safety categories.
Licenses and Certifications: Students have the knowledge and training to take license or certification exams for industrial engineers, quality control technicians, reliability engineers, quality control engineers, or financial analysts.
Graduate
COURSE REQUIREMENTS
A student in the Ph.D. program must take graduate level courses for at least 30 credits, 12 credits for dissertation, and 2 credits for graduate seminars (1 credit each semester for two semesters). The 12 credits for dissertation will be added to credits for the graduating year after passing the final defense.
A student must obtain the signature from his or her supervising professor (henceforth referred to as “advisor”) for courses taken every semester to be accepted as graduation credits. A signature from the department chair is also acceptable if an advisor has not been chosen.
A student must select one major area and two minor areas from the following areas of study. The student must take 3-5 courses from the major area, 2-3 courses from each of the minor areas. In total, the student must take at least 9 courses from major and minor areas. Any special circumstance will be referred to the departmental graduate course committee for further discussions.
Management Technologies
Production Systems
Quality Management
Operation Research
Information Systems
Human Factors Engineering
GRADUATION REQUIREMENTS
Length of Study: The length of Ph.D. study is between 2-7 years (a student may be on leave not more than twice and not for more than one year each time). The Ph.D. Program must be completed within 7 years; otherwise forced dismissal will be imposed.
A student who has completed the following requirements are eligible for graduation from the Ph.D. Program:
- He or she has completed the course requirements of the department.
- He or she has passed an English proficiency test.
- He or she has passed the qualifying examination.
- His or her proposal has been approved by the dissertation committee.
- He or she has completed the graduation dissertation and passed the oral defense.
Qualifications:
- English proficiency test for an incoming student: An incoming student must take one of the following alternative tests to prove his or her English proficiency. If the student does not pass one of the English proficiency tests, he or she must take the “Technology English” course.
(1) The student must receive the passing grade on (1) the first stage of the Intermediate for the General English Proficiency Test (GEPT),(2) the TOEFL computer iBT test with scores higher than 32(IBT), 97(CBT), and 400(PBT) or (3) score higher than 400 on TOEIC.
(2) The student must receive the score higher than 40 out of 100 on the English proficiency test given by the college.
- Qualifying Examination:
(1)Eligibility: A student has obtained the approval from his or her advisor and completed the minimum course requirements for the Ph.D. Program.
(2)Dates for submitting application: For the fall semester, the application starts right after the semester registration and ends on November 15th. For the spring semester, the application starts right after the semester registration and ends on April 15th.
(3) Required documentation: A student must provide the documents including: Ph.D. qualifying examination application form, updated transcript, credit waiver form, and Examination materials.
(4) Examination Components: The qualifying examination consists of two components: “Special Research Report in English” and “Preliminary Proposal for Ph.D. Dissertation”.
(5) Examination contents:
- Special Research Report in English: A student must write a special project paper in English in one of the six areas of study to be submitted to an international conference. The paper must be accepted by the conference and presented in English by the student. Additionally, the student must provide photos taken at the conference to prove his or her actual participation and presentation. The paper format and number of pages must be aligned with the guidelines provided by the conference. The publication of the paper must occur after the completion of the courses. The paper must include the full department’s name, the advisor’s name and the Ph.D. student’s name as the first author.
- Preliminary Proposal for Ph.D. Dissertation: A student must write a research plan under 20 pages on a specific research topic which includes the title, problem background, literature review, research purpose, research methodology and steps, and expected results.
- Proposal Examination: A student must pass the qualifying examination before applying for the dissertation proposal examination. A student must pass the proposal examination at least one semester before applying for the dissertation defense.
- Paper Publications: A student must publish two journal papers related to his or her Ph.D. research in the name of Department of Industrial and Systems Engineering, Chung Yuan Christian University. At least one of the journal papers must be accepted by the SCI, SSCI or EI indexed journals. If the other published paper appears in a domestic journal, which must be deemed by Taiwanese National Science Council as a high-quality journal. Alternatively, a student may attend international conferences and present two conference papers in place of paper submission to a domestic journal.
- Dissertation Defense: A dissertation committee consists of 5-7 oral defense committee members; among those more than 1/3 members are from outside the university. The detailed regulation can be referred to “The Examination Regulations of the Graduate Students of Chung Yuan Christian University”.
GUIDELINES FOR ADVISOR SELECTION
Within one academic year since the first class enrollment (before the second university year commences), a first-year Ph.D. student must select an advisor based on his or her interests and research directions. First, the student schedule interviews with professors. Upon receiving the advisor’s consent, he or she must fill out the “Application for Academic Advisor” form with the professor’s signature and submit the form to the departmental office.
A student may change his or her advisor—but it is not recommended—upon obtaining the approvals from the original advisor, new advisor, and department chair. The student can start this process by filling out the “Advisor Replacement Application Form”
An advisor may refuse to supervise the student who fails to conduct researches as instructed. In this case, the student must change his or her advisor.
MS Program
Courses | 24 | credit units |
Seminar | 2 | credit units |
Thesis | 6 | credit units |
Total | 32 | credit units |
Course Offered
Required Courses
Seminar (2 credit units)
Master Thesis (6 credit units)
Elective Courses(24 credit units for MS)
Course Code | Course Title | Credit Units |
IE512R | Safety, Health & Environmental Management | 3 |
IE426r | Human Factors Engineering | 3 |
IE780R | Probability Model | 3 |
IE444R | Linear Programming | 3 |
IE520R | Software Reliability Engineering | 3 |
IE813r | Prognostics and Design for Reliability | 3 |
IE694R | Inventory Systems | 3 |
IE184R | Engineering Economy | 3 |
IE794r | Supply Chain Management | 3 |
IE508R | Global Logistics Management | 3 |
IE605R | Object-Oriented Analysis and Design | 3 |
IE507r | Manufacturing Management of high-tech Industry | 3 |
IE179R | Design of Experiment | 3 |
IE375r | Production and Operation Management | 3 |
IE671R | Analysis of Manufacturing Systems | 3 |
Classification | Course Name |
Core Courses | Seminar |
Dissertation | |
Core Courses for Master program at the second division | Statistic Method |
Production and Operation Management | |
Quality Management | |
Operations Research | |
Management Technologies | Technology Management |
Project Management | |
Service Operation Management | |
Problem Solving and Innovation | |
System Thinking with Application | |
Customer Relationship Management | |
Green Product Management System | |
Research Method | |
System Engineering & Management | |
Engineering Economy | |
Management of Business Performance | |
Strategic Planning | |
Business Models and Information Systems | |
Case Study | |
Production Systems | Inventory Systems |
Supply Chain Management | |
Manufacturing Management of high-tech Industry | |
Global Logistics Management | |
Material Flow Systems | |
e-Supply Chain Collaborative Management | |
Production and Operations Decision Management | |
Scheduling Theory | |
System Simulation | |
Lean Production | |
Analysis of Manufacturing Systems | |
Computer Integrated Manufacturing | |
CAD & Virtual Reality | |
Product Design & Development Management | |
Intelligent Manufacturing Systems | |
Quality Management | Service Quality Management |
Regression Analysis | |
Quality Engineering | |
Quality Technology | |
Statistical Process Control | |
Design of Experiment | |
Sustainable development and Management | |
Reliability Engineering | |
Software Reliability Engineering | |
Total Quality Management | |
Prognostics and Design for Reliability | |
Operations Research | Multivariate Analysis |
Simulation Analysis | |
Probability Model | |
Queuing System | |
Non-linear Optimization | |
Linear Programming | |
Financial Engineering | |
Network Analysis | |
Mathematical Programming | |
Information Systems | Knowledge Engineering and Management |
Database Systems | |
Object-Oriented Analysis and Design | |
Introduction to Neural Networks and Applications | |
Artificial Intelligence | |
Distributed Information Systems | |
Human Factors Engineering | Occupational Biomechanics |
Human Computer Interaction | |
Safety System | |
Psychology in Engineering and Management | |
Human Factors Engineering | |
Safety, Health & Environmental Management |