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Course Description Course Name : Modeling and Analysis of Manufacturing Systems Course Code : EM-501 Course Type : Optional Level of Course : Second Cycle Year of Study : 1 Course Semester : Fall (16 Weeks) ECTS : 6 Name of Lecturer(s) : Prof.Dr. RIZVAN EROL Learning Outcomes of the Course : Gains an overall view of design, planning and control problems faced in manufacturing systems. Decides upon appropriate modeling and analysis method for a manufacturing system problem of interest. Performs the problem formulation, model development and solution algorithm selection stages for a problem of interest. Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : The purpose of this course is to study modeling and analysis techniques pertinent to solving design and control problems faced in manufacturing systems. Examples of analytical, simulation and empirical models will be provided to demonstrate the modeling process of manufacturing systems. Course Contents : Manufacturing systems and models. design issues in asssembly lines. transfer lines. buffer policies. shop scheduling. flexible manufacturing systems. group technology. modern material handling systems. analytical queueing models. empirical simulation models. Language of Instruction : English Work Place : seminar room   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 An Overview of Manufacturing Systems and Models reading the related textbook chapter lecturing, discussion 2 Assembly Lines: Reliable Serial Systems reading the related textbook chapter lecturing, discussion 3 Transfer Lines and General Serial Systems reading the related textbook chapter lecturing, discussion 4 Shop Scheduling with Many Products reading the related textbook chapter lecturing, discussion 5 Shop Scheduling with Many Products reading the related textbook chapter lecturing, discussion 6 Group Technology reading the related textbook chapter lecturing, discussion 7 Facility Layout reading the related textbook chapter lecturing, discussion 8 Midterm Exam prepare for the exam written exam 9 Machine Setup and Operation Sequencing reading the related textbook chapter lecturing, discussion 10 Material Handling Systems reading the related textbook chapter lecturing, discussion 11 Warehousing: Storage and Retrieval Systems reading the related textbook chapter lecturing, discussion 12 General Manufacturing Systems: Queueing Models reading the related textbook chapter lecturing, discussion 13 Empirical Simulation Models reading the related textbook chapter lecturing, discussion 14 Case Studies review of the case study case study 15 Project Presentations prepare for the presentation presentations 16/17 Final Exam prepare for the exam written exam   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  ASKIN, R. G. & STANDRIDGE, C. R., 1993, Modeling and Analysis of Manufacturing Systems, John Wiley&Sons, Inc., New York,NY. Required Course Material(s)  Journal articles and case studies pertinent to course topics will also be used as supplementary material.   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 75     Homeworks/Projects/Others 5 25 Total 100 Rate of Semester/Year Assessments to Success 40   Final Assessments 100 Rate of Final Assessments to Success 60 Total 100   Contribution of the Course to Key Learning Outcomes # Key Learning Outcome Contribution* 1 Understand, interpret and apply knowledge in his/her field domain both in-depth and in-breadth by doing scientific research in industrial engineering. 4 2 Acquire comprehensive knowledge about methods and tools of industrial engineering and their limitations. 5 3 Work in multi-disciplinary teams and take a leading role and responsibility. 4 4 Identify, gather and use necessary information and data. 3 5 Complete and apply the knowledge by using scarce and limited resources in a scientific way and integrate the knowledge into various disciplines. 4 6 Keep up with the recent changes and applications in the field of Industrial Engineering and analyze these innovations when necessary. 3 7 Work in multi-disciplinary teams, take a leading role and responsibility and develop solutions for complex problems. 4 8 Analyze Industrial Engineering problems, develop innovative methods to solve the problems. 5 9 Have the ability to propose new and/or original ideas and methods in developing innovative solutions for designing systems, components or processes. 4 10 Design and perform analytical modeling and experimental research and analyze/solve complex matters emerged in this process. 4 11 Follow, study and learn new and developing applications of industrial engineering. 3 12 Use a foreign language in verbal and written communication at least B2 level of European Language Portfolio. 3 13 Present his/her research findings systematically and clearly in oral and written forms in national and international platforms. 3 14 Understand social and environmental implications of engineering practice. 3 15 Consider social, scientific and ethical values in the process of data collection, interpretation and announcement of the findings. 3 * Contribution levels are between 0 (not) and 5 (maximum).   Student Workload - ECTS Works Number Time (Hour) Total Workload (Hour) Course Related Works     Class Time (Exam weeks are excluded) 14 3 42     Out of Class Study (Preliminary Work, Practice) 14 3 42 Assesment Related Works     Homeworks, Projects, Others 5 8 40     Mid-term Exams (Written, Oral, etc.) 1 7 7     Final Exam 1 7 7 Total Workload: 138 Total Workload / 25 (h): 5.52 ECTS Credit: 6