Your wisdom, our commitment. Department of Agro-Industrial Technology. Faculty of Agro-Industry, Kasetsart University.

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1 Your wisdom, our commitment Department of Agro-Industrial Technology Faculty of Agro-Industry, Kasetsart University Bangkok, Thailand 50 Ngamwongwan Rd., Lad Yao, Chatuchak, Bangkok THAILAND Tel: (+66) ext Fax: (+66) The Department of Agro-Industrial Technology offers a master degree program in Agro- Industrial Technology Management (AITM). We commit to the leadership in administration and management of information and technology for the growth and prosperity of Thailand's agroindustrial business and value chain. The aim of the department is to produce qualified postgraduates with expertise in management of agro-industrial processes and products. Graduate students enrolled in this department work collaboratively with all departments of the Faculty of Agro-Industry to link science and technology with the business focus of marketing research, supply chain management, and production and manufacturing system modeling and optimization. The program includes several local and international field trips. Students are also encouraged to participate in local and international business and production planning competitions. In general, the department admits full-time students and part-time students a year. Since an establishment in 2003, over 400 graduates are now serving in the leading agri-food companies, government sectors and academic institutions. We currently offer a non-coursework option for international students. Our Ph.D. program in Agro-Industry Technology Management will start in the Semester 1 of the Academic Year Graduate profiles: Age: Work experience: yrs yrs. Carreer : Food industry 62% Agri-food supplier 20% Agri-food service and retail 7% Packaging industry 3% Food analysis business 3% Government officers 5% 1

2 Academic Program The department offers a Master of Science in Agro-Industrial Technology Management for thesis (full-time) and non-thesis (part-time) options and a Ph.D. program in Agro-Industry Technology Management, starting in year Candidates must have degrees related to agrifood science and technology or engineering. Candidates with other degrees must have working experiences in agro-industry in order to be eligible for admission. Courses offered include agri-food chain production planning and inventory control, material handling and distribution systems, supply chain management, quality system and management, information system and traceability, financial analysis and risk management, food product marketing, marketing research and consumer study, organization and human resource management, research and development management and computational intelligence such as artificial neural network and fuzzy logic. M.S. (Agro-Industrial Technology Management) : Non-Coursework Thesis Option (Plan A1) Applicants must have a baccalaureate degree in related fields from an accredited university or educational institute. A total of 38 credits of thesis (with 2 credits of seminar under audit registration) are required, as follows: A total of 48 credits of thesis (with 4 credits of seminar and 3 credits of major requirement under audit registration) are required, as follows: Major Courses minimum 2 credits (audit) - Seminar 2 credits (audit) Thesis minimum 38 credits Total minimum 38 credits * Main Target: International Students M.S. (Agro-Industrial Technology Management) : Thesis Option (Plan A2) Applicants must have a baccalaureate degree in related fields from an accredited university or educational institute. A total of 38 credits of graduate courses (with 12 credits of thesis), are required, as follows: Major Courses minimum 26 credits - Seminar 2 credits - Major requirements 9 credits - Major electives minimum 15 credits Thesis minimum 12 credits Total minimum 38 credits * Main Target: Full-time, Regular class Students 2

3 M.S. (Agro-Industrial Technology Management) : IS Option (Plan B) Applicants must have a baccalaureate degree in related fields from an accredited university or educational institute. A total of 38 credits of graduate courses (with 6 credits of independent study), are required, as follows: Major Courses minimum 35 credits - Seminar 2 credits - Major requirements 9 credits - Major electives minimum 21 credits Independent study minimum 6 credits Total minimum 38 credits * Main Target: Evening & Weekend Class Students Courses Code Subject Credit Agro-Industrial Operations Management 3 (3-0-6) Quantitative Analysis for Agro-Industry 3 (3-0-6) Production Planning and Inventory Control for Agro-Industry 3 (3-0-6) Agro-Industrial Material Handling and Product Distribution 3 (3-0-6) Artificial Neural Network and Applications in Agro-Industry 3 (3-0-6) Data Mining for Agro-Industry 3 (3-0-6) Agro-industrial Product Pricing Analysis 3 (3-0-6) Quality System and Management for Agro-Industry 3 (3-0-6) Traceability Technologies for Agro-Industry 3 (3-0-6) Financial Analysis for Agro-Industry 3 (3-0-6) Food Product Marketing 3 (3-0-6) Marketing Research in Agro-Industry 3 (3-0-6) Principle of Supply Chain Management for Agro-Industry 3 (3-0-6) Research and Development Management for Agro-Industry 3 (3-0-6) Database Information System for Agro-Industry 3 (3-0-6) Financial Risk Management in Agro-Industry 3 (3-0-6) Strategic Supply Chain Management for Agro-Industry 3 (3-0-6) Agro-Industrial Retailing Business 3 (3-0-6) Research Methods in Agro-Industrial Technology Management 3 (3-0-6) Independent Study Selected Topics in Agro-Industrial Technology Management Seminar Special Problems Thesis

4 Course Descriptions Agro-Industrial Operations Management Management concepts for agro-industrial operations. Operational strategy, planning and decisions. Process and work-force management. Techniques in site selecting and plant layout, capacity planning, production planning, inventory control and project management for agro-industry Quantitative Analysis for Agro-Industry Quantitative methods for problem solving in agro-industrial operations. Problem formulation, solving and interpretation of linear programming models for transportation, assignment and network flow problems Production Planning and Inventory Control for Agro-Industry Production and inventory control systems in agro-industry. Models and techniques for forecasting, production planning and inventory management. Production scheduling. Concept of just-in-time and lean manufacturing systems Agro-Industrial Material Handling and Product Distribution Concepts of material handling and product distribution systems. Logistics strategies and planning. Techniques for analyzing agro-industrial material handling and product distribution systems. Analysis and design of agro-industrial product distribution networks. Warehouse operations and transportation systems Artificial Neural Network and Applications in Agro-Industry Fundamental theory of artificial neural networks ANN. Various ANN architectures and learning algorithms. ANN model building, and applications in agro-industry Data Mining for Agro-Industry Data mining overview and tasks. Data preparation. Data mining techniques for classification, prediction, association and clustering. Comparison of data mining techniques. Applications of data mining in agro-industry Quality System and Management for Agro-Industry Principles and methods of statistical quality control for agro-industry. Quality management systems from International Organization for Standardization. Concepts of Good Manufacturing Practices (GMP) and Hazard Analysis and Critical Control Point (HACCP). 4

5 Traceability Technologies for Agro-Industry Laws, regulations, and standards of food and agricultural product safety. Traceability systems, automatic identification system, and automatic data capture. Technology selection and applications of such technologies in agro-industry Financial Analysis for Agro-Industry Accounting and financial data analysis, cost behavior and concept, manufacturing cost estimation in Agro-Industry, cost of capital, capital budgeting, capital structure, financing decision criteria and project evaluation in agro-industry, risk analysis, uncertainty analysis, and multi-factor decision making Food Product Marketing Marketing principle and consumer behavior of food products. Food market segmentation. Market analysis and forecasting of food products. Marketing policy and strategy. Marketing mix. Pricing and pricing strategy. Sale promotion and distribution channel for food products. Market competition of food product in Thai markets. Ethics in food product marketing Marketing Research in Agro-Industry Market survey of agro-industrial products for decision making. Questionnaire design, data collection technique, data analysis using statistical software. Result interpretation and validation. Report writing and presentation Principle of Supply Chain Management for Agro-Industry Integration of procurement, logistics network distribution, operations, inventory management, transportation and distribution of agro-industrial products from raw materials to consumers. Strategies and tactics in supply chain and logistics management for sustainable development Research and Development Management for Agro-Industry Process and management of research and development in agro-industry. Research and new product development strategy. Uses of research and product development as competitive strategy in agro-industrial business. Research and development project planning and management. Research and development collaboration. Evaluation of research and development productivity. Patent law and intellectual property protection. 5

6 Database Information System for Agro-Industry Design, structures, and operations of database systems for agro-industry. Normalization, query languages, data management and maintenance, and advanced database information systems Financial Risk Management in Agro-Industry Concepts of financial risk analysis in agro-industry. Derivatives, risk management in foreign exchange exposure and interest rate risk in agro-industry Strategic Supply Chain Management for Agro-Industry Techniques and strategies of agro-industrial supply chain management. Supply chain performance measurement. Temperature-controlled and reverse supply chains. Food retailing, wholesaling and catering supply chains. Collaborative planning, forecasting and replenishment strategy, vendor managed inventory, category management, central wholesale markets Research Methods in Agro-Industrial Technology Management Principles and research methods in agro-industrial technology management, problem analysis for research topic identification, data collection for research planning, identification of samples and techniques. Analysis, interpretation and discussion of research result, report writing for presentation and publication Independent Study Independent study on interesting topic at the master's degree level and compile into a written report Selected Topics in Agro-Industrial Technology Management Selected topics in agro-industrial technology management at the master's degree level. Topics are subject to change each semester Seminar Presentation and discussion on current interesting topics in agro-industrial technology management at the master's degree level. 6

7 Special Problems Study and research in agro-industrial technology management at the master s degree level and compile into a written report Thesis Research at the master's degree level and compile into a thesis. 7

8 Ph.D. (Agro-Industrial Technology Management) : Non-Coursework Option (Plan 1.1) Applicants must have a master degree in related fields from an accredited university or educational institute. A total of 48 credits of thesis (with 4 credits of seminar and 3 credits of major requirement under audit registration) are required, as follows: Major Courses minimum 7 credits (audit) - Seminar 4 credits (audit) - Major requirements 3 credits (audit) Thesis minimum 48 credits Total minimum 48 credits * Main Target: International Students Ph.D. (Agro-Industrial Technology Management) : Coursework Option (Plan 2.1) Applicants must have a master degree in related fields from an accredited university or educational institute. A total of 48 credits of graduate courses (with 12 credits of thesis), are required, as follows: Major Courses minimum 12 credits - Seminar 4 credits - Major requirements 3 credits - Major electives minimum 5 credits Thesis minimum 36 credits Total minimum 48 credits * Main Target: Full-time, Regular class Students Courses Code Subject Credit Advanced Quantitative Analysis for Agro-Industry 3 (3-0-6) Technologies and Modeling for Agro-Industrial Supply Chain 3 (3-0-6) Financial Modeling for Agro-Industry 3 (3-0-6) Marketing Modeling for Agro-Industry 3 (3-0-6) Advanced Research Methods in Agro-Industrial Technology Management Selected Topics in Agro-Industrial Technology Management Seminar Special Problems (3-0-6) Thesis

9 Course Descriptions Advanced Quantitative Analysis for Agro-Industry Advanced quantitative methods for problem solving in agro-industrial operations. Agro-industrial problems from variability. Solving problems with uncertainty using stochastic models. Applications from Bayes Theorem, central limit theorem, Poisson process, discrete distribution, continuous distribution, Markov chain, queueing theory and Brownian motion Technologies and Modeling for Agro-Industrial Supply Chain Theories of strategies in agro-industrial supply chain management and the proofs of those theories; forecasting model, bin packing model, inventory model, and transportation and distribution model. Problem solving by heuristics. The uses of computer program and technology. Case studies of these topics in international journals Financial Modeling for Agro-Industry Theories of financial management and the proofs of those theories; fundamental financial model, econometric model, corporate finance model, portfolio theory model, asset pricing model, derivatives pricing model. Monte Carlo problem solving methodology. Financial applications in agro industries. Case studies of these topics in international journals Marketing Modeling for Agro-Industry Quantitative analysis methods on marketing management in agro-industry. Marketing management models; models of consumers behavior, brand choice models, segmentation analysis, new product models, advertising decision models, sales force compensation models, distribution channel decision, and pricing decisions. Structural Equation Modeling (SEM) for agro-industrial marketing analysis Advanced Research Methods in Agro-Industrial Technology Management Advanced research in agro-industrial technology management and preparation of research proposal, application of information technology and computer data processing and retrievals, data analysis, article writing and presentation, group discussion. Paper preparation for presentation and publication Selected Topics in Agro-Industrial Technology Management Selected topics in agro-industrial technology management at the doctoral degree level. Topics are subject to change each semester. 9

10 Seminar Presentation and discussion on interesting topics in agro-industrial technology management at the doctoral degree level Special Problems Study and research in agro-industrial technology at the doctoral degree level and compile into a written report Thesis Research at the doctoral degree level and compile into a thesis. 10

11 Faculty Members Asst. Prof. Parthana Parthanadee (Head of Department) Tel : or ext Education : Ph.D. (Industrial Engineering), Oregon State University Research Areas : Logistics and supply Chain Management, Production Planning and Scheduling, Inventory Management, Applied Operations Research Asst. Prof. Thanit Puthpongsiriporn (Deputy Head of Department) Tel : ext Education : Ph.D. (Industrial Engineering), University of Pittsburgh Research Areas : Information System Engineering, System Analysis and Design, Intelligent Information System, Data Mining, Automatic Identification and Data Capture, Transportation Management Asst. Prof. Ravipim Chaveesuk (Special program chair) Tel : Education : Ph.D. (Industrial Engineering), University of Pittsburgh Research Areas : Modeling and Analysis using Classical Statistics, Computational intelligence (Neural Network and Fuzzy Logic) and Geostatistics, Agro-Industrial Supply Chain Management, Data Mining, Design and Analysis of Experiments, Quantitative Agro-Industrial Marketing Research Assoc. Prof. Tanachote Boonvorachote Tel : Education : D.B.A. (Finance), Thammasat University Research Areas : Market microstructure, Futures trading, Investments, Risk management 11

12 Dr. Ajchara Kessuvan Tel : Education : D.B.A. (Marketing Management), Chulalongkorn University Research Areas : Agri-food product marketing, Marketing research, Consumer behavior Watcharaphong Leartsurawat Tel : ext Education : Ph.D. Candidate (Knowledge Management), Florida International University; M.B.A. (Business Administration), Chulalongkorn University Research Areas : Human Resource Management, Organization Management, Entrepreneurship, Knowledge Management Dr. Apichaya Lilavanichakul Tel : Education : Ph.D. (Food, Agricultural & Resource Economics), University of Guelph Research Areas : Food Economics & Marketing, Demand Analysis Asst. Prof. Porntipa Ongkunaruk Tel : ext Education : Ph.D. (Industrial and Systems Engineering), Virginia Polytechnic Institute Research Areas : Inventory Management in Agro-Industry, Supply Chain Management in Agro-Industry, Computer Based Decision Support System in Agro-Industry Dr. Krissana Treesilvattanakul Tel : Education : Ph.D. (Agricultural Economics), Purdue University Research Areas : Economic Impacts Analysis, Strategic Management, R&D Management 12

13 Dr. Jumpol Vorasayan Education : Ph.D. (Industrial Engineering), Iowa State University Research Areas : Queuing theory and stochastic process in agro-industry, pricing and closed loop supply chain Asst. Prof. Chutima Waisarayutt Tel : Education : Ph.D. (Food Science), University of Wisconsin-Madison Research Areas : Statistic for food quality management, Quality practices in food supply chains, Linear optimization for management decision Research Areas Agri-food supply chain management Theories and tools from supply and production planning, facility location, chain inventory management, chain co-operation, distribution planning, vehicle routing, quality and traceability management, managerial accounting and finance, and information technology are applied to design, plan and manage all activities involved in sourcing, procurement, production, and logistics management of agri-food products and commodity to improve responsiveness and efficiency in order to fulfil customer needs at the lowest cost. Agri-food marketing research and consumer study Theories and tools from sociology, economics, statistics and marketing are applied to analyze life styles, roles and trends of consumer and the factors affecting consumer behaviors in agrifood products in order to develop appropriate marketing strategies and business plan. Agri-food production and manufacturing system modeling and optimization Theories and tools from operations research, computational intelligence (artificial neural network and fuzzy logic), and data mining are applied to analyze, design, simulate and optimize the agri-food production and manufacturing system. 13

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