simulation and will gain some practical experience of how to develop and implement their own simulation models. G54SIM 3 Lecture Outline 1. Module Organisation 2. Simulation Examples 3. Systems 4. Models 5. Simulation 6. Nature of Operations Systems 7. Why Simulate? 8. Classification of Simulation 9. Level of Abstraction 10. Paradigms G54SIM 4 Module Organisation • Classes: – Tuesdays: 9-11am – CompSci-C60 • Labs: – Tuesdays: 2-4pm – CompSci-C11 G54SIM 5
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Operations research An introduction to solution methods Ecole des Mines de Nantes Master MOST 2012-2013 Olivier Péton - 1- Problem Min f ( x ) xS An optimization problem S is the solution set that represents all feasible solutions of a problem. f is the objective function that maps S to R. It evaluates each feasible solution. Also called evaluation function or cost function Minimization = maximization ! max f ( x) min ( f ( x)) xS xS - 2- Mathematical
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8th WSEAS International Conference on SYSTEM SCIENCE and SIMULATION in ENGINEERING Reverse Logistics for Electrical and Electronic Equipment: a modular simulation model L. GUERRA‚ T. MURINO‚ E. ROMANO Department of Materials Engineering and Operations Management University of Naples “Federico II” P.le Tecchio – 80125 Napoli ITALY luigi.guerra@unina.it murino@unina.it elromano@unina.it http://www.impianti.unina.it Abstract: In recent years there has been a significant growth in WEEE production
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evolution of industrial engineering‚ scientific methodologies the were prominent earlier in the natural sciences‚ were found applicable to management functions-planning‚ organizing and controlling of operations 19th century‚ Frederick W. Taylor proposed an application of a scientific method to an operations management problem- Productivity. Determined that the variable that was significant was the combined weight of the shovel (move) and its load. Henry L. Gantt‚ devised a chart-to schedule production
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Engineering) – 2008 Course Semester- I Subjec t Code 411081 411082 Subject Teaching Examination Scheme Scheme (Hrs) Lectur Pr/Dw Th Tw Or Pr e 4 2 100 25 50 4 2 100 25 50 Total Machine Tool Design 175 Manufacturing 175 Automation 411083 Operations Research 4 2 100 50 150 411084 Elective I 4 2 100 50 100 411085 Elective II 4 100 100 411086 Project Work** 2 Total 20 10 500 150 50 50 750 ** It is mandatory to submit preliminary project report for the grant of the term I Semester II Teaching Scheme
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ASSIGNMENT QUESTION: ‘‘A Trend in Contemporary Time is the Increasing Need to Comprehend Basic Quantitative Methodology and its Language as a Tool for Decision Analysis’’ Prof J.A. Fabayo. Do You Agree? ANSWER: Background A person managing a production unit for instance‚ a factory‚ a farm or even a kitchen has to coordinate men‚ machines and money against several constraints like time‚ cost and space in order to achieve the organization’s objectives in an efficient and effective manner
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SUPERVISOR I: DR. I. J. UWANTA CO – SUPERVISOR II: DR. MU’AZU MUSA DATE: 07TH NOVEMBER‚ 2012 TIME: 10:00 AM VENUE: U.G. COMPUTER LABORATORY Abstract This research is posed with investigation of transportation problems of a bus transit company considering the importance derived from the transport sector of the economy to the leaders and the led. The research considered the balanced type of transportation problems and showed how the initial solutions can be obtained as well as the optimal solution which is
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MSE 606A-OL: Engineering Operations Management Instructor: Ahmad R. Sarfaraz‚ Ph.D. Department: Manufacturing Systems Engineering and Management Faculty Office: EA 3305; (818) 677-6229 Email: sarfaraz@csun.edu Course Text: Bernard Taylor‚ Management Science‚ 8th Edition‚ Prentice Hall‚ 2004. Hamdy Taha‚ Operations Research‚ 9th Edition Both books will be in reserved room. Course Purpose: This course is designed to ensure that students gain: An ability to use
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CHAPTER II Review of Related Literature This study deals with the review and analysis of the literature and studies relevant to inventory management techniques that the researchers will be using in the optimization. It consists of information culled from studies and literature‚ both local and foreign‚ from which this study is subject to. This chapter will certainly help in giving the reader a better understanding of what is Economic Order Quantity model and Dynamic Programming to optimization
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SIMULATION http://sim.sagepub.com A Simulation Model for Multi-Product Inventory Control Management Masood A. Badri SIMULATION 1999; 72; 20 DOI: 10.1177/003754979907200103 The online version of this article can be found at: http://sim.sagepub.com/cgi/content/abstract/72/1/20 Published by: http://www.sagepublications.com On behalf of: Society for Modeling and Simulation International (SCS) Additional services and information for SIMULATION can be found at: Email Alerts: http://sim.sagepub
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