Program overview. 17-Jun :42. Year 2007/2008 Mechanical, Maritime and Materials Engineering Master Mechanical Engineering

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1 Program overview 17-Jun :42 Year 2007/2008 Organization Mechanical, Maritime and Engineering Education Master Mechanical Engineering Code Omschrijving ECTS Specialisation Production Engineering & Logistics (ME-TE-PEL) Obligatory Courses ME-TE-PEL ET3026WB Electrical Power Drives 3 IN4050TU Java and Object Oriented Design 6 WB Discrete Systems: MPSC 5 WB Automation and Control of Transport and Production Systems 6 WB The Delft Systems Approach 3 WB Production Organization Principles 2 WB Production Engineering Practical 5 Recommended Elective Courses ME-TE-PEL IN4013TU Expert Systems in a Technical Environment 6 WM0605TU Business Economics for Engineers 4 p1 p2 p3 p4 p5 Page 1 of 11

2 .1 Year 2007/2008 Organization Mechanical, Maritime and Engineering Education Master Mechanical Engineering Specialisation Production Engineering & Logistics (ME-TE-PEL) Responsible Program Dr.ir. H.P.M. Veeke Employee Introduction 1 Prof. G. Lodewijks, tel. +31 (0) , G.Lodewijks@tudelft.nl Dr H. P. M. Veeke, tel. +31 (0) , H.P.M.Veeke@tudelft.nl Secretary: Ms J. W. M. Spoek-Schouten, tel. +31 (0) , J.W.M.Spoek-Schouten@tudelft.nl Production Engineering and Logistics aims to prepare future engineers to play an analytical, integrative and innovative role in new developments in the following areas. Production and logistical techniques; mastering and piloting new techniques, including automation. Existing systems; analysing production and logistical processes and control. The integration of processes, techniques and control, thereby perceiving the multidisciplinary character of these processes and becoming aware of the restrictions on the engineering discipline. New organisational structures for the integration of production and transportation. The notion of the specialist has gradually been replaced by notions of process, integration and a systems-based view of supply chains. The use of these new ideas in industry and service has created the need for a course based on a methodology which offers a coherent and integrated approach to technology, organisation and information. An executive engineer has to master all the different aspects of productivity: knowledge of tools, machinery, equipment, information, operations and control systems, perception of human resources and the ability to contribute to and evaluate new industrial situations. Production Engineering and Logistics prepares students for operations management line and staff positions in industry and engineering consultancy. Much emphasis is placed on modelling as an aid to analysing operational problems and to finding acceptable solutions. The final assignment addresses a real problem in a company or organisation. Applied studies concern the automation and intelligent control of supply, production and distribution networks. Another rapidly developing area for projects and assignments is predictive modelling with simulation of industrial processes. The complexity of production organisations has increased tremendously in recent decades due to changing customer demands, increased automation possibilities, the real-time availability of information and rigid environmental conditions. The challenge for the engineer is to find solutions combining all these possibilities and restrictions. The design of a production organisation is considered to be a multidisciplinary project. The combination of organisation and logistics offers a unique opportunity to study the complete value-adding chain in industry, composed of transformation and transportation processes. Students broaden their technological knowledge by always including organisational and informational aspects within the human business environment. They also learn the restrictions on their knowledge and recognise the need for economic, sociological and/or psychological contributions. The programme uses a variety of teaching methods to achieve these objectives. Wide-ranging lectures on technology, approaches to industrial systems, information systems, operations research, simulation and business economics. A seminar to study, discuss and evaluate real-life cases with fellow students under the expert guidance of staff members. Laboratory work to gain experience with real-life systems and traineeships in industry. Page 2 of 11

3 Year 2007/2008 Organization Mechanical, Maritime and Engineering Education Master Mechanical Engineering Obligatory Courses ME-TE-PEL Page 3 of 11

4 ET3026WB Electrical Power Drives 3 Responsible Instructor Prof.dr.ir. P. Bauer Assistent K.J. Weijermans Education Period 3 Exam Period 3 4 0/0/3/0 Required for Expected prior knowledge Dutch (on request ) Elektromechanical systems (ET4242WB) Project Mechatronika wbtp209 Electrical system,generators,elektrical machines,induction motors, synchronous motors and generators, power converters, power supplies The student can: Understand mechanical system requirements for Electric Drive Understand and apply passive network elements (R, L, C), laws of Kirchhof, Lorentz, Faraday Understand and apply: phasors for simple R,L,C circuits Understand and apply real and reactive power, rms, active and reactive current, cos phi Describe direct current (DC), (single phase) alternating current (AC) and (three phase) alternating current systems, star-delta connection Understand the principle of switch mode power electronic converters, pole as a two quadrant and four quadrant converter Understand principles of magnetic circuits, inductances and transformers Understand principles of electromechanical energy conversion and DC motor drives Understand and apply the space vectors by analysis of: Induction machines (asynchronous electric motors) Synchronous machines (as motor and generator) The characteristics of importance are: torque/speed relation, efficiency, reactive power, voltage control, frequency control, starting current/power, methods to control starting current Understand principles and explain main characteristics of the following electronic conversion: DC/DC converters (choppers) DC/AC converters (inverters) AC/DC converters (rectifiers) AC/AC converters The characteristics of importance are: input/output characteristics, control inputs, voltage/frequency control; cos phi Remarks Understand, explain and specify electric drive systems, with the use of the components mentioned Lectures (3 hours/week), test (1 hour/week) Syllabus. Electric Drives, An Integrated Approach. Ned Mohan. of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota, USA.MNPERE, Minneapolis, USA. ISBN Written exam Every week a test will be given. By satisfactory result it will serve as a bonus for the examination IN4050TU Java and Object Oriented Design 6 Responsible Instructor Dr. P.G. Kluit Introduction to Java and Object-Oriented programming. Using the API library classes. Designing classes. Object-Oriented Design using UML. Aspects of Software Engineering. Advanced aspects of Java: Graphical User Interfaces, Event Handling, Exceptions, Threads, Sockets, Streams. The student is able to solve programming problems using an Object-oriented language, more specific Java. The student is able to design, specify and implement programs, using existing libraries. Lecture and lab work The course is completed with two assignments: After completion of the lab work, a larger assignment completes the course. This assignment is to be completed in a team of 4 /5 students. This assignments includes both design and implementaton of software. Page 4 of 11

5 WB Discrete Systems: MPSC 5 Responsible Instructor Dr.ir. J.A. Ottjes Responsible Instructor Dr.ir. H.P.M. Veeke Instructor Ir. F.P.M. Sopers Instructor Ir. M.B. Duinkerken Education Period 1 2 2/2/0/0 Exam Period Summary none Modelling, discrete simulation, process-interaction method, logistics, production, transport, control, practical This is a course on the modeling of discrete systems for transport and production. It deals with a method to quickly design flexible prototype models and to implement them in a simulation environment. The method is based on the systems approach in combination with process-interaction modeling. Special attention is paid to the modeling of controls and the use of these models for real-time control. A number of practical examples, including a production process, a transport system and a port will be considered. During the course a number of individual assignments will be given to be answered via blackboard. Halfway the course, groups of 4 students are formed. Each group has to design(on paper) a process-interaction model of a realistic case including the model goal, performance indicators, input, output and an experimental design resulting in a short report. Those who have attained a satisfactory result for both the individual work and the group model design will be admitted to the second part of the course. This takes the form of a practical. The model developed in the first part has to be implemented and applied in a simulation environment based on Delphi and Tomas (see and The results: process-interaction model design, implementation, experiments and final report will be graded. Student is able to a) Apply the Process-Interaction method on any discrete logistic system More specifically, the student is able to: 1. decompose the system into relevant classes of elements, patterned on the real-world elements of the system 2. distinguish the relevant properties of the element classes 3. distinguish the active element classes and provide their process description And to b) design and implement a simulation model of a simple logistic system in Delphi/Tomas Computer Use Special Information Remarks More specifically, the student must be able to: 1. formulate the goal of the simulation project 2. distinguish the relevant parameters and performance indicators 3. define the input required 4. set up an experimental plan 5. transfer the process-interaction model into Delphi/Tomas code 6. carry out the experimental plan 7. interpret and report results 9 Lectures (2 hours per week), individual assignments, group assignment Use of discrete simulation software: Tomas based on Delphi. Lecture materials, hand outs, example models, recent publications on the subject area and the Web sites: and A text book is in preparation Practical (in groups): Design, implemention and application of a simulation model resulting in a final report. During the practical each group will have a coach assigned. Adequate coaching can only be assured if all members of the group have attended most of the lectures. Percentage of Design 50% Design Content A basic knowledge of the programming language "Delphi" is required for the practical. Though some attention is paid to that language during the course, it still is recommended to get acquainted with Delphi in an early stage of the course. a useful web site is: The modeling of a system has a major design component 3mE Maritime & Transport Technology Page 5 of 11

6 WB Automation and Control of Transport and Production Systems 6 Responsible Instructor Dr.ir. H.P.M. Veeke Responsible Instructor Prof.dr.ir. G. Lodewijks Instructor Prof.ir. J.C. Rijsenbrij Education Period 3 4 0/0/2/2 Exam Period Computer Use Remarks Design Content Different, to be announced This course focuses on the automation and control of modern transport and production systems. Automation is often necessary to increase the capacity or to reduce operating costs of industrial systems on one hand while maintaining a sufficient level of operational accuracy on the other hand. Automation requires full control of an industrial system and its equipment and a throughout understanding of the transport/manufacturing process and the dynamics of the equipment involved. In this course the automation of a number of typical systems will be studied and the dificulties and opportunities of new technologies. Basis of this course is a study of the dynamics of the operational process and the equipment. In an automated system data communication is important to ensure reliable performance. In this respect equipment and process monitoring is important as well. Therefore data acquisition, mining, analysis and transfer will be discussed in detail. The course is concluded by a practical assignment where the control of equipment used in an automated system will be studied. (1) To categorise industrial systems and identify properties that determine their performance; (2) to describe mathematically the transport process and the behaviour of equipment; (3) to determine the requirements to automate an industrial system in terms of control algorithms and equipment involved; (4) to experience the difference between automation in concept and automation in practice. Lectures (2 hours per week), practical assignment Uses of data acquisition equipment and database software Course material: Lecture book References from literature: To be determined Oral exam Access to the oral examination only after completion of the practical assignment. Not applicable 3mE Maritime & Transport Technology WB The Delft Systems Approach 3 Responsible Instructor Dr.ir. H.P.M. Veeke Education Period 1 Exam Period 1 2/0/0/0 Complete modeling of industrial systems includes both function models for static structures and time-dependent behaviour models. A fundamental approach leads to the proper model, the steady state model and the control paradigm. For multi-aspect modelling the PROPER model will be explained and applied to the field of logistics and organization. Modelling of the design process itself with a clear distinction between interdisciplinary function design and monodisciplinary process design. The course aims to learn the students the basics of the Delft Systems Approach for Industrial Organizations (DSA). Therefore the student should learn to: - Structure complex industrial systems into the conceptual models: Steady State Model, Innovation Model, Proper Model - Describe all types of activities in terms of functions - Recognize both the operational and the control functionality - Differentiate between operational and innovation management. - Use the models for analysis and design of industrial systems Lectures (2 hours per week) Course material: Book: Analyse van organisatieproblemen, J. in t Veld (most important chapters will be available in ) Lecture notes A Systems Approach for Industrial System Design, Veeke Percentage of Design 50% Design Content References from literature: To be determined Written exam Understanding the design process itself and the transition of using conceptual models to concrete process models. 3mE Maritime & Transport Technology Page 6 of 11

7 WB Production Organization Principles 2 Responsible Instructor Dr.ir. H.P.M. Veeke Instructor Ir. F.P.M. Sopers Education Period 2 Exam Period 2 0/2/0/0 This course focuses on production organisation structures. Between the extreme structures of flow shop and job shop there is a continuum of other structures. Characteristics and practical selection criteria for each specific structure are explained. The relation between notions like effectiveness, productivity and flexibility are studied. Control principles are highlighted by the distinction between function control (e.g. planning) and process control (e.g. scheduling, feed back, feed forward). The use of simulation in control functions is explained. Finally decision support for project planning is explained by classical approaches like CPM and PERT, but also by new approaches using simulation. The course aims to learn the students to: - Explain the characteristics of all different production organization structures - Explain the technological implications of an organization structure - Explain the connections between organization structure and production control - Explain the connections between organization structure and decision support systems. - Differentiate between different types of information - Express performance in terms of productivity and flexibility Lectures (2 hours per week) Course material: Lecture notes + reader (see blackboard) Recommended: - Ray Wild, "Operations Management", Continuum, London, ISBN M.Groover,"Automation, Production Systems, and Computer-Integrated Manufacturing,Prentice Hall, ISBN (also needed for WB3421) Design Content Written exam Not applicable 3mE Maritime & Transport Technology WB Production Engineering Practical 5 Responsible Instructor Dr.ir. H.P.M. Veeke Instructor Ir. F.P.M. Sopers Education Period 2 Exam Period Required for Expected prior knowledge Enrolment / Application 0/0/2/2 none Percentage of Design 100% Design Content Dutch (on request ) Production Engineering and Logistics systems approach and participating in masterclass "Delft Systems Approach for Industrial Organization" Design of real industrial system The production Engineering practical aims to learn the PEL-students to: - Participate and cooperate in a complex design project - experience multidisciplinary decision making - split complex problems in smaller domain-specific problems - contribute to the result by means of a specific specialization - prove the technological and logistical feasibility - present ideas and results completely but short Practical with project teams design methodology plenary presentation + final report PEL master students only (Re)design of a real industrial system based on global management requirements and a formulated policy 3mE Maritime & Transport Technology Page 7 of 11

8 Year 2007/2008 Organization Mechanical, Maritime and Engineering Education Master Mechanical Engineering Recommended Elective Courses ME-TE-PEL Page 8 of 11

9 IN4013TU Expert Systems in a Technical Environment 6 Responsible Instructor Dr. L.J.M. Rothkrantz Education Period 1 2 2/2/0/0 Pract. Exam Period Remarks none Survey of types of expert systems, including underlying principles and architectures. Design and implementation issues are elucidated for expert systems in technical environments. Introduction to Fuzzy systems and probabilisticmodels as bayesian belief networks. In the second part of the course the combined technology of expert systems, numerical computing and neural networks is treated. In the practical, an assignment is to build an expert system with CLIPS. After sucessfull completion of the course: -students have a historal overview of knowledge based systems -students are able to design different types of expertsystems -students are able to use different expert system shells such as CLIPS and GENIE -students are able to extract knowledge from experts, or information systems, data bases and to rewrite this knoledge in if-then rules -students have an understanding of Bayesian networks and are able to design and implement such a system. Lectures, lab work Lecture notes Weekly assignments (written exam on request) 40 hrs of lab work. WM0605TU Business Economics for Engineers 4 Module Manager Dr. G. van der Velde Education Period 1 Start Education 1 Exam Period 1 3 2/0/0/0 Dutch Page 9 of 11

10 Prof.dr.ir. P. Bauer Ir. M.B. Duinkerken Dr. P.G. Kluit Prof.dr.ir. G. Lodewijks Dr.ir. J.A. Ottjes Elektrotechn., Wisk. & Inform. DC systems, Energy con & Stor Telephone LB Telephone B Elektrotechn., Wisk. & Inform. Software Engineering Telephone B34-B Telephone +31 (0) B-1-09-K B Telephone B Prof.ir. J.C. Rijsenbrij B34-B Dr. L.J.M. Rothkrantz Ir. F.P.M. Sopers Dr.ir. H.P.M. Veeke Elektrotechn., Wisk. & Inform. Interactive Intelligence Telephone HB Telephone +31 (0) B Telephone B Dr. G. van der Velde Techniek, Bestuur & Management Economie van Innovatie Page 10 of 11

11 K.J. Weijermans Page 11 of 11