Master s Degree Program in Industrial Engineering (Revision version, 2004) 1) Academic Program Master s Degree Program in Industrial Engineering 2) Degree Offered Master of Engineering (Industrial Engineering) or M.Eng.(Industrial Engineering) 3) Organized by Industrial Engineering Department, Faculty of Engineering, Thammasat University 4) Objectives The Master's Degree Program in Industrial Engineering is aimed at providing graduate level of education to engineers in order to enhance their professional and research capabilities. The Program actively emphasizes on developing technical and management expertise together with research skills so that graduates are able to serve effectively in the industrial sector and contribute to the development of higher level of technology 5) Admission schedule From year 2005 6) Admission An applicant to the program must possess a Bachelor's degree in Engineering or Science or Technology from an accredited institution and cumulative GPA of at least 2.5. In case that cumulative GPA of applicant is less than 2.5, it should be determined by academic program committee. 7) Method of Selection Paper test and/or interview according to regulations of Faculty of Engineering and Thammasat University. 8) Academic System 8.1) The Master's Degree Program in Industrial Engineering are a semester day time program (Thesis plan) and a semester evening program (Thesis plan) with two semesters system 8.2) The curriculum consists of 39 credits for both plans, with 15 credits of 5 compulsory courses, 12 credits of 4 elective courses, and 12 credits of thesis. The elective courses can be chosen from the three groups: engineering management, manufacturing systems, and operations research. 8.3) Graduate students who do not possess Industrial Engineering background are required to register for at least one of four additional basic courses: IE 501, IE 502, IE 503, and IE 504, which are not counted as credits toward graduation. The grades to be given for these courses are P (satisfactory) and N (Unsatisfactory). The total number of additional courses required will be decided by the Departmental Committee. 8.4) To sit for the comprehensive examination, the students must have completed a minimum of 18 credits, with cumulative GPA of at least 3.00. The comprehensive examination will be offered twice a year with P (satisfactory) and N (Unsatisfactory) grade. 8.5) To register for the Master's thesis, students must have completed a minimum of 18 credits, with cumulative GPA of at least 3.00, and must obtain a 'P' grade in the comprehensive examination. 8.6) To sit for the Master's thesis examination, students must pass an English test with a 'P' grade as required by Thammasat University's Regulation for graduate students (1996).
9) Duration Thesis Plan (daytime program) less than 8 semesters Thesis Plan (evening program) less than 14 semesters 10) Curriculum Thesis Plan (daytime program) Thesis 6-12 credits Thesis Plan (evening program) Thesis 3-9 credits Detail of enrollment should follow Thammasat University's Regulation for graduate students (1998) 11) Evaluation and Graduation 11.1) Evaluation 11.1.1) 9 levels of evaluations Level A A- B+ B B- C+ C D F Value of level 4.00 3.67 3.33 3.00 2.67 2.33 2.00 1.00 0.00 11.1.2) Credits are counted only the subjects that have value of levels S or at least C. 11.1.3) The grading system for Seminar and the Master's thesis is S (satisfactory) and U (unsatisfactory). 11.1.4) The grading system for basic courses, comprehensive examination and English test is P (satisfactory) and N (unsatisfactory). 11.2) Graduation A student must, 11.2.1) have completed a minimum of 39 credits 11.2.2) have obtained cumulative GPA of at least 3.00 11.2.3) have obtained P level for basic courses 11.2.4) have obtained P level for comprehensive examination 11.2.5) have obtained P level for English test 11.2.6) have obtained S level for Seminar 11.2.7) have obtained S level for Master's thesis and given the completed thesis to the University 11.2.8) have accepted for publication in academic journals or in discussion paper series or presented in conferences 11.2.9) have followed other constraints as required by the faculty and the program 11.2.10) have no debt. 12) Academic Staff Attached at the end of curriculum 13) Number of Students In each year, the total number of students for both day time program and evening program is 30 persons. The average number of students for day time program is 10-15 persons. The remaining students are in evening program as follow: Year Number of 2005 2006 2007 2008 2009 students Day time program 10 10 10 10 10 Evening program 20 20 20 20 20 Total 30 60 80 80 80 Graduation - 10 30 30 30
14) Lists of Courses Additional Basic Courses IE 501 Industrial Engineering 1 IE 502 Industrial Engineering 2 IE 503 Industrial Engineering 3 IE 504 Industrial Engineering 4 Compulsory Courses IE 600 Research Methodologies in Industrial Engineering IE 610 Industrial Organizational Management IE 640 Industrial and Manufacturing Systems IE 670 Optimization Techniques IE 790 Seminar in Industrial Engineering Elective Courses Select from the followings Engineering Management Subjects IE 615 Industrial Project Management IE 616 Engineering Economic Analysis IE 617 Industrial Project Feasibility Study IE 618 Marketing Management for Industrial Engineer IE 619 Management of Technology IE 625 Coordination & Communication IE 626 Decision Modeling Analysis IE 627 Strategic Quality Management IE 628 Management Information System in Industry IE 629 Safety and Environmental Impact Assessment IE 635 Human Reliability and Safety IE 636 Managerial Accounting and Finance for Industrial Engineers IE 637 Industrial System Simulation IE 638 Logistics and Supply Chain Management IE 715 Advanced Production Management IE 716 Advanced Work Design IE 717 Advance Technique in Industrial Management I IE 718 Advance Technique in Industrial Management II Manufacturing Systems Subjects IE 645 Product & Production Design IE 646 Material Handling Systems IE 647 Production & Plant Layout IE 648 Computer Integrated Manufacturing Systems IE 649 Computer Aided Design/ Computer Aided Manufacturing (CAD/CAM) IE 655 Flexible Manufacturing Systems IE 656 Industrial Robotics IE 657 Manufacturing & Technological Strategy IE 658 Ergonomics in Engineering Design IE 659 Corrosion Engineering IE 665 Failure Analysis and Prevention IE 666 Physical and Mechanical Behavior of Materials IE 667 Materials Selection and Design IE 745 Advanced Technique in Manufacturing 1 IE 746 Advanced Technique in Manufacturing 2
Operations Research Subjects IE 675 Network Flow Analysis IE 676 Inventory System IE 677 Queuing Theory IE 678 Stochastic Process IE 679 Activity Scheduling IE 685 Forecasting Techniques IE 686 Neural Network for Industries IE 687 Design of Experiment IE 688 Industrial Statistics IE 689 Reliability Engineering IE 775 Advanced Optimization Techniques IE 776 Advanced Technique in Operation Research 1 IE 777 Advance Technique in Operation Research 2 Thesis IE 800 Thesis Course Description IE501 Industrial Engineering 1 Probability theory and statistical distribution. Sampling theory. Estimation theory. Hypothesis testing. Nonparametric statistics. Regression and correlation. Analysis of variance. Engineering application of statistics. IE502 Industrial Engineering 2 Movement of operation in the workplace. Process chart and various charts for work analysis. Motion economics. Work sampling. Direct time study. Work standard. Facilities planning and design. Material handling analysis. Line balancing. IE503 Industrial Engineering 3 Time value of money. Engineering project analysis using economic approaches. Depreciation. Decisions under risks and uncertainty. Engineering reliability for quality control. Quality control management. IE504 Industrial Engineering 4 Operations research techniques. Linear programming. Transportation problems. Queuing theory. Simulation. Game theory. Techniques of demand forecasting with an emphasis on statistical methods., Studies of controlling and managing major factors in production processes to lower production costs and idle time. Compulsory courses IE600 Research Methodologies in Industrial Engineering Classifications of academic research in industrial engineering, defining the research problems, determining research questions, establishing research hypothesis, testing of research hypothesis by using various methodology (i.e. design of experiment, engineering statistical
analysis, case study approach, empirical approach, simulations), selecting an appropriate data analysis methods, writing-up final report. IE610 Industrial Organizational Management Study of human behavior in organization. The roles of administrator that influence the human behavior in organization. Ethics for Industrial engineer. Application of techniques for improving industrial work efficiency and work satisfaction. Evolution of management. Scientific management. Systematic management. Process of management. IE640 Industrial and Manufacturing Systems Principle of Automation. Flexible Manufacturing System. Industial Robotic and Automated Machine. Numerical control and Computer-Aided Design and Manufacturing IE670 Optimization Techniques Principle of optimization. Applications of optimality techniques for engineering problems: linear programming, network, transportation, queuing, dynamic programming. Criteria for optimality test. IE790 Seminar in Industrial Engineering The topics of seminar will be decided by lecturers, with the objective of enhancing students' research capabilities and presentation skills. Elective Courses Engineering Management Subjects IE615 Industrial Project Management Management concepts. Graphical models. Pert, CPM, and other project management models. IE616 Engineering Economic Analysis Introduction to engineering economy. Techniques of mortality analysis for equipment and production. Value engineering and cost effectiveness concepts. IE617 Industrial Project Feasibility Study Basic concepts of project feasibility study. Marketing study. Engineering study. Financial and management studies. Case study. IE618 Marketing Management for Industrial Engineer Study and analysis of the marketing environment, consumer behavior, and the market share, demand analysis and forecast, objective determination and marketing strategy, marketing mix issues, and planning, organizing, controlling and evaluating analysis and current marketing problems and practices. IE619 Management of Technology Introduction to the role of technology in economic development. Needs for effective management of technology. Unique characteristics of technology as a resource for competition. Implication of technology. Change process. Various dimensions of technology management capabilities & strategies. Technology needs infrastructure. Climate & policies.
IE625 Coordination & Communication Study of coordination and communication skills. Work presentation. Conflict Management. Negotiation. Organizational culture and multinational organization. IE626 Decision Modeling Analysis Concepts and techniques used in analyzing management problems: decision trees, probability models, subjective probability, decision criteria, utility theory, multiobjective tradeoff. IE627 Strategic Quality Management Quality philosophy. The framework of strategic quality management. Role of new and advanced quality management in competitive environment. Formulation, implementation and post-implementation for SQM as corporate strategy. Design of quality management and costing. Quality system assessment. IE628 Management Information System in Industry Introduction to Management Information System including system structure, database technology, expert system, system analysis and design, system evaluation and maintenance, and information technology applications for the industry. IE629 Safety and Environmental Impact Assess Concepts, theories and techniques for analyzing and assessing environmental factors and their effects. Environmental data collection and report preparation. Planning and suggesting guidelines to reduce and prevent environmental impacts both outdoor and indoor together with investigating the results. IE635 Human Reliability and Safety Accident, health and safety issues. Accident causation analysis. Causes of human error in accidents. Accident models. Accident reporting and analysis. Accident prevention and human reliability assessment. IE636 Managerial Accounting and Finance for Industrial Engineer Basic concepts of accounting and finance. The use of financial data to analyze management problems. Concepts of financial analysis, cost analysis, return on investment analysis, operations and capital budgeting, and inventory control. Taxation. IE637 Industrial System Simulation The design of simulation methods and techniques for use in managerial decision models. Engineering evaluations and other systems too complex to be solved analytically. IE638 Logistics and Supply Chain Management Definitions of logistic and supply chain management, demand forecasting, balancing of manufacturing processes & operations, warehousing management, transportation and distribution, suppliers selection and development, information technology in supply chain management, performance measurement in logistics and supply chain management, the linkages among logistics & supply chain management, total quality management, just-in-time production system, and preventive maintenance, Implementation of logistics & supply chain management in manufacturing and service industries.
IE715 Advanced Production Management Advance topics in analysis of inventory control. Computerized inventory control systems. Laboratory on MRP II and ERP system. Case study. IE716 Advanced Work Design Human capabilities and characteristics and their applications for designing tools, machines, workstations, environments and working methods. Work analysis techniques. Physical and mental workload assessments. Survey design, questionnaire design and interviewing to identify ergonomics problems. Ergonomics research techniques. IE717 Advance Technique in Industrial Management I Concepts and techniques in advanced industrial management. IE718 Advance Technique in Industrial Management II Concepts and techniques in solving management problems. Manufacturing Systems Subjects IE645 Product & Production Design Product design and organization strategy. Design problem solving. Design for manufacture and assembly. Design for environment. Value engineering. Design management using various techniques such as quality function deployment. Statistical techniques in product design. IE646 Material Handling Systems Analysis and design of integrated material handling system. Automatic storage and retrieval system. Advance automation in MHS. IE647 Facilities Planning & Plant Layout Quantitative and qualitative approaches to problems in facilities planning and design, with emphasis on activity relationships, space requirements, materials handling and storage. Plant layout planning and facilities location. IE648 Computer Integrated Manufacturing Systems Analysis and design of manufacturing systems using computers. Topics include computer aided techniques, group technology, application of computers to manufacturing systems. Computer numerical control (CNC). IE649 Computer Aided Design/ Computer Aided Manufacturing (CAD/CAM) Conventional and computer-assisted methods in design. Application of computers to the planning and control of discrete part manufacturing. IE655 Flexible Manufacturing Systems A study of the concepts of flexible manufacturing systems. Topics include integrated CAD/CAM systems, robot application, interfacing machines, computers and measuring devices. IE656 Industrial Robotics A study of principles and applications of industrial robots in modern manufacturing systems.
Robot classifications and configuration. Actuator. Robot sensors. Control systems. Economic justification. IE657 Manufacturing & Technological Strategy Basic concepts and models referring to corporate strategy. Development and implementation of the manufacturing functional strategy. Analysis of the influence of technological change on the different components of corporate strategy. Emphasis on an integration of manufacturing strategy with the business and corporate strategy of a manufacturing firm. Concept & techniques of designing and improving production systems using manufacturing and technological strategy. IE658 Ergonomics in Engineering Design Introduction to ergonomics. Human factors and characteristics i.e. physical, physiological, psychological and perception for engineering and product designs. Utilization of human factors information in engineering design. Ergonomics evaluation techniques for safety and reliability in the designs. IE659 Corrosion Engineering Study the principles of corrosion, thermodynamics and Kinetics. Influences of various factors on corrosion, corrosion at high temperature, forms of corrosion, testing and evaluation of corrosion. Design for corrosion reduction, prevention of corrosion and corrosion in various alloys. IE665 Failure Analysis and Prevention Method of Failure analysis. Fracture mechanism of Materials. Ductile and Brittle Fracture. Forms of Failure including Fatigue Failure, Torsion Failure, Ware Failure, Corrosion Failure. Cracking due to Residual Stress and High Temperature Failure. IE666 Physical and Mechanical Behavior of Materials Physical and mechanical properties of materials, the relationship between stress and strain for elastic transformation, principle of plastic deformation, dislocation theory, strengthening mechanism, fractures of materials. Property testing of materials: such as hardness, tensile and fatigue testes. Metal fabrication: forging, rolling, extrusion and drawing. IE667 Materials Selection and Design Principle of Design. Type of Materials Engineering and Property Chart. Materials Selection based on Fabricating Process and Price. Materials Selection based on shape and without shape realization. IE745 Advanced Technique in Manufacturing 1 Studies of concepts and techniques in advanced production control systems IE746 Advanced Technique in Manufacturing 2 Studies of concepts and techniques in solving production problems Operations Research Subjects IE675 Network Flow Analysis Definition, notation, and symbolism matrix representation of networks. Conservation of flow. Deterministic network flow. Network flow optimization stochastic networks.
IE676 Inventory Management The nature and importance of inventory management. Forecasting procedures for inventory management. Decision systems for inventory under deterministic and stochastic demand. IE677 Queuing Theory Basic elements of the queuing model. Selection of appropriate queuing decision mode. Specialized poisson queues, series, and network. Applications of queuing model. IE678 Stochastic Process Introduction to probability theory. Markov process. Markov chains. Finite-stage dynamic programming model. Linear programming. Solution of the markovian process. Enumeration method. IE679 Activity Scheduling Deterministic/stochastic scheduling problems with static/dynamic models. Problems involving different measures of effectiveness, solution techniques (optimizing, heuristic). Industrial scheduling problems. IE685 Forecasting Techniques Judgmental technique. Time series analysis. Forecasting procedures for constant-level, lineartrend model, with and without seasonal effects. Forecasting errors. Boxjenkins method and linear regression analysis. IE686 Neural Network for Industries Basic principles and concepts of neural network for industrial applications: Percepton, Adaline, Madaline, Backpropagation, Art 1 and Art 2. IE687 Design of Experiment Applications of Experimental Design; Basic Principles and Statistical Techniques for Designing Experiments; Data Collection; Analysis of Variance; Statistical Theories in Experimentation; Factorial Design; Fractional Factorial Design; Response Surface and Regression Analysis. IE688 Industrial Statistics Objectives of Statistical Control; Process Variability; Process Capability; Forecast of Discrete and Continuous Data; Design for the Completeness of Process Specification; Sampling for Inspection and Quality Control. IE689 Reliability Engineering Probability theory and statistical distributions. Function, testing and analysis of reliability and failure rate. Application of reliability to engineering fields. Maintainability. IE775 Advanced Optimization Techniques An extensive treatment of techniques for multiple criteria optimization problems. Optimization problems under uncertainties. IE776 Advanced Technique in Operation Research 1 Studies advanced techniques in operation research
IE777 Advanced Technique in Operation Research 2 Studies concepts and advanced techniques in solving operation research problems Thesis IE800 Thesis A Master's thesis is required according to Thammasat University's regulation on writing up a thesis. Academic Staff Associate Professors Julsiri Jaroenpuntaruk B.Eng. (Industrial Engineering) Khon Kaen University, Thailand M.S. (Industrial Engineering) Bradley University, USA Ph.D. (Industrial Engineering and Operations Research) University of Illinois, USA Montalee Nagswasdi-Sasananan B.S. (Manufacturing Engineering) Boston University, USA M.S. (Industrial Engineering) University of Pittsburgh, USA Ph.D (Manufacturing Engineering and Operations Management), University of Nottingham, UK Assistance Professors Jirarat Teeravaraprug Naris Charoenporn Parichat Chuenwatanakul Supachai Surapunt Danupun Visuwan Pongchanun Luangpaiboon Tritos Laosirihongthong Samerjit Tantaseraneewat Sawat Pararach B.Eng. (Industrial Engineering) Kasetsart University, Thailand M.S. (Industrial Engineering) University of Pittsburgh, USA Ph.D. (Industrial Engineering) University of Pittsburgh, USA B.Eng. (Agricultural Engineering) Kasetsart University, Thailand M.Eng. (Industrial Engineering) Chulalongkorn University, Thailand B.Eng. (Industrial Engineering) Khon Kaen University, Thailand M.Eng. (Industrial Engineering and Management) Asian Institute of Technology, Thailand B.Sc. (Physics) in 1980, Prince of Songkla University, Thailand Dipl.Eng. (Metallurgical Engineering) Chulalongkorn University, Thailand D.Eng (Mineral Processing Technology and Metallurgical and Material Engineering) Tohoku University Japan. B.Eng. (Industrial Engineering) Kasetsart University, Thailand M.Eng. (Industrial Engineering) Chulalongkorn University, Thailand Ph.D. (Manufacturing Engineering and Management), University of Nottingham, UK B.Eng. (Industrial Engineering) Kasetsart University, Thailand M.Eng. (Industrial Engineering) Kasetsart University, Thailand Ph.D. (Operation Research) University of Newcastle Upon Tyne, UK B.Eng. (Production Engineering) King Mongkut s Institute of Technology Thonburi, Thailand M.Eng. (Industrial Engineering) Chulalongkorn University, Thailand Ph.D. (Management of Technology) Asian Institute of Technology, Thailand B.Eng. (Industrial Engineering) Khon Kaen University, Thailand Ph.D. (Metallurgical Engineering) Illinois Institute of Technology, USA B.Ind. Tech. (2nd Class Honors) (Production Technology) King Mongkut s Institute of Technology North Bangkok, Thailand M.Eng. (Manufacturing System Engineering) Asian Institute of Technology, Thailand
Instructors Apiwat Muttamara Busaba Phruksaphanrat Chairath Tantipaibulvut Jarumon Jaturonnatee Jirawan Kloypayan Somsak Chueakittisak Wararat Sophanowong B.Eng. (Industrial Engineering) Kasetsart University, Thailand D.Eng.(Material Science) Nagaoka University of Technology, Japan B.Eng. (Industrial Engineering) Thammasat University, Thailand M.Eng. (Manufacturing Systems Engineering) Asian Institute of Technology, Thailand D.Eng. (Information Science and Control Engineering) Nagaoka University of Technology, Japan B.Eng. (Production Engineering) King Mongkut s University of Technology Thonburi, Thailand M.Sc. (Advanced Manufacturing Technology), UMIST, UK M.Phil. (Manufacturing Process: Casting) Loughborough University of Technology, UK B.Eng. (Industrial Engineering) Chiang Mai University, Thailand M.S. (Engineering Management) George Washington University, USA D.Eng.(Industrial Engineering) Chulalongkorn University, Thailand B.Sc. (Material Science) Chulalongkorn University, Thailand M.Eng. (Industrial Engineering) Chulalongkorn University, Thailand Ph.D. (Manufacturing Engineering) North Carolina State University, USA Dipl.-Ing. (equiv. B.Eng.) (Mechnical Engineering) Specialized College of Cologne, Germany M.Eng. (Engineering Mnagement) Chulalongkorn University, Thailand M.Sc. (Manufacturing System Engineering) University of Warwick, UK B.Sc. (Chemistry) Khon Kaen University, Thailand M.Sc. (Polymers) Mahidol University, Thailand Ph.D. (Macromolecular Science and Engineering) Case Western Reserve University, USA