...Rapids Chair Company (USA); 2, 3 School of Engineering, Grand Valley State University (USA) geoff@grandrapidschair.com; pawloskj@gvsu.edu; standric@gvsu.edu Received December 2009 Accepted May 2010 Abstract: A small furniture production company has integrated lean tools and sustainability concepts with discrete event simulation modeling and analysis as well as mathematical optimization to make a positive impact on the environment, society and its own financial success. The principles of lean manufacturing that aid in the elimination of waste have helped the company meet ever increasing customer demands while preserving valuable resources for future generations. The implementation of lean and sustainable manufacturing was aided by the use of discrete event simulation and optimization to overcome deficits in lean’s traditional implementation strategies. Lean and green manufacturing can have a more significant, positive impact on multiple measures of operational performance when implemented concurrently rather than separately. These ideas are demonstrated by three applications. Keywords: lean manufacturing, green manufacturing, case-study, discrete event simulation, optimization 1 Introduction Manufacturers are under tremendous pressure to improve productivity and quality while reducing costs. This has led many organizations to implement the Toyota Production System (TPS), otherwise known as lean manufacturing (Liker, 2004; Womack, 2003). Thus, it seems to be important...
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...Manufacturing Systems Engineering. 1997, University of Texas at Arlington: Arlington. 9. Mayer, R.J., M. Painter, and P. deWitte, IDEF Family of Methods for Concurrent Engineering and Business Re-engineering Applictions, . 1992, Knowledge Based Systems, Inc. 10. Marca, D.A. and C.L. McGowan, SADT: Structured Analysis and Design Technique. 1988, New York, NY: McGraw-Hill Book Co., Inc. 11. Mayer, R.J., IDEF0 Function Modeling - A Reconstruction of the Original Air Force Wright Aeronautical Laboratory Technical Report - AFWAL-TR-81-4023 (the IDEF0 Yellow Book). 1st ed. 1992, College Station, Texas: Knowledge-Based Systems, Inc. 249. 12. Rumbaugh, J., et al., Object-Oriented Modeling and Design. 1991, Englewood Cliffs, NJ: Prentice-Hall. 13. Whitman, L., B. Huff, and A. Presley. Structured Models and Dynamic Systems Analysis: The Integration of the IDEF0/IDEF3 Modeling Methods and Discrete Event Simulation. in Winter...
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...Routing in Wireless Sensor Networks: application on Fire Detection Abstract: this paper is about fire detection in building using a modified APTEEN routing protocol. Here we design a system called iFireControl which is a smart detection system for buildings, which is more water efficient than many current systems, while keeping its robustness. introduction A Wireless Sensor network (WSN) consists of spatially distributed autonomous sensors to monitor physical or environmental conditions, such as temperature, sound, vibration, pressure, motion or pollutants and to cooperatively pass their data through the network to a main location. The more modern networks are bi-directional, also enabling control of sensors activity. The development of wireless sensor networks was motivated by military applications such as battlefield surveillance; nowadays such networks are used in many industrial and consumer applications, such as industrial process monitoring and control, machine health monitoring, Agriculture, Area Monitoring, Smart Home Monitoring, Seismic Monitoring etc. Wireless Sensor Networks provide a bridge between the real physical and virtual worlds; allow the ability to observe the previously unobservable at a fine resolution over large spatio-temporal scales. The WSN is built of “nodes” from a few to several hundreds or even thousands, where each node is connected to one (or sometimes several) sensors. Each such sensor network node has typically several parts: a...
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...& Summary Computer system users, administrators, and designers usually have a goal of highest performance at lowest cost. Modeling and simulation of system design trade off is good preparation for design and engineering decisions in real world jobs. In this Web site we study computer systems modeling and simulation. We need a proper knowledge of both the techniques of simulation modeling and the simulated systems themselves. The scenario described above is but one situation where computer simulation can be effectively used. In addition to its use as a tool to better understand and optimize performance and/or reliability of systems, simulation is also extensively used to verify the correctness of designs. Most if not all digital integrated circuits manufactured today are first extensively simulated before they are manufactured to identify and correct design errors. Simulation early in the design cycle is important because the cost to repair mistakes increases dramatically the later in the product life cycle that the error is detected. Another important application of simulation is in developing "virtual environments" , e.g., for training. Analogous to the holodeck in the popular science-fiction television program Star Trek, simulations generate dynamic environments with which users can interact "as if they were really there." Such simulations are used extensively today to train military personnel for battlefield situations, at a fraction of the cost of running exercises involving...
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...and warehouses is becoming increasingly common. A critical drawback of an AGV is its prohibitively high cost. Cost considerations dictate an economic design of AGV systems. This paper presents an analytical model that uses a Markov chain approximation approach to evaluate the performance of the system with respect to costs and the risk associated with it. This model also allows the analytic optimization of the capacity of an AGV in a closed-loop multimachine stochastic system. We present numerical results with the Markov chain model which indicate that our model produces results comparable to a simulation model, but does so in a fraction of the computational time needed by the latter. This advantage of the analytical model becomes more pronounced in the context of optimization of the AGV’s capacity which without an analytical approach would require numerous simulation runs at each point in the capacity space. Note to Practitioners—This paper presents a model for determining the optimal capacity of an automated guided vehicle (AGV) to be purchased by a manufacturer. This paper was motivated by work with manufacturing industries that used AGVs in their operations. The mathematical model we present conducts the performance evaluation of a system with a given number of machines. The performance evaluation done by the model is in terms of: 1) the average inventory in the system; 2) the long-run average cost of operating the system; and 3) the downside risk, which is...
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...Preventive Maintenance and Replacement Scheduling: Models and Algorithms By Kamran S. Moghaddam B.S., University of Tehran, 2001 M.S., Tehran Polytechnic, 2003 A Dissertation Proposal Submitted to the Faculty of the Graduate School of the University of Louisville in Partial Fulfillment of the Requirements for the Doctor of Philosophy Candidacy Department of Industrial Engineering University of Louisville Louisville, Kentucky, USA November 2008 ©Copyright 2008 by Kamran S. Moghaddam All Rights Reserved ii Preventive Maintenance and Replacement Scheduling: Models and Algorithms By Kamran S. Moghaddam B.S., University of Tehran, 2001 M.S., Tehran Polytechnic, 2003 A Dissertation Proposal Approved on November 2008 By the following Dissertation Committee Professor John S. Usher, Committee Chair Professor Gerald W. Evans Professor Gail W. DePuy Professor Sunderesh S. Heragu Professor Ali M. Shahhosseini iii TABELE OF CONTENTS LIST OF TABLES ...................................................................................................... vii LIST OF FIGURES ................................................................................................... viii 1. Introduction 1 1.1. Preventive Maintenance and Replacement Scheduling .................................. 1 1.2. Research Contributions .................................................................................... 2 1.3. Outline ................
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...CHAPTER: 1 INTRODUCTION 1.1 Some basics elements of communication systems: In [1] [21], it is mentioned that communication system means a system where transmission of data or information is done from one point to another by several processes. The processes consist of generation of an information signal, description of the information signal through a defined set of symbols, encoding of the symbols through communication channels, decoding and reproduction of original symbols and finally re-creation of the original information signal. All these features of a communication system can be described by three basic elements such as transmitter, channel and receiver. Figure 1.1: Basic structure of communication system 1.2 Wireless communication background In 1921, Detroit Michigan Police Dept. made the earliest significant use of Mobile radio in a vehicle in the United States. The system operated at a frequency close to 2 MHz. The channels soon became overcrowded. In 1940, new frequencies between 30 and 40 MHz were made available. Increasing the available channels encouraged a substantial buildup of police systems. Shortly thereafter other users found a need for this form of communication. Private individuals, companies and public agencies purchased and operated their own mobile units. In 1945, first public mobile telephone system in the U.S. was inaugurated in St. Louis, Missouri with three channels at 150 MHz. Six channels spaced 60 kHz apart were allocated for this service...
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...NATIONAL INSTITUTE OF TECHNOLOGY SILCHAR Bachelor of Technology Programmes amï´>r¶ JH$s g§ñWmZ, m¡Úmo{ à VO o pñ Vw dZ m dY r V ‘ ñ Syllabi and Regulations for Undergraduate PROGRAMME OF STUDY (wef 2012 entry batch) Ma {gb Course Structure for B.Tech (4years, 8 Semester Course) Civil Engineering ( to be applicable from 2012 entry batch onwards) Course No CH-1101 /PH-1101 EE-1101 MA-1101 CE-1101 HS-1101 CH-1111 /PH-1111 ME-1111 Course Name Semester-1 Chemistry/Physics Basic Electrical Engineering Mathematics-I Engineering Graphics Communication Skills Chemistry/Physics Laboratory Workshop Physical Training-I NCC/NSO/NSS L 3 3 3 1 3 0 0 0 0 13 T 1 0 1 0 0 0 0 0 0 2 1 1 1 1 0 0 0 0 4 1 1 0 0 0 0 0 0 2 0 0 0 0 P 0 0 0 3 0 2 3 2 2 8 0 0 0 0 0 2 2 2 2 0 0 0 0 0 2 2 2 6 0 0 8 2 C 8 6 8 5 6 2 3 0 0 38 8 8 8 8 6 2 0 0 40 8 8 6 6 6 2 2 2 40 6 6 8 2 Course No EC-1101 CS-1101 MA-1102 ME-1101 PH-1101/ CH-1101 CS-1111 EE-1111 PH-1111/ CH-1111 Course Name Semester-2 Basic Electronics Introduction to Computing Mathematics-II Engineering Mechanics Physics/Chemistry Computing Laboratory Electrical Science Laboratory Physics/Chemistry Laboratory Physical Training –II NCC/NSO/NSS Semester-4 Structural Analysis-I Hydraulics Environmental Engg-I Structural Design-I Managerial Economics Engg. Geology Laboratory Hydraulics Laboratory Physical Training-IV NCC/NSO/NSS Semester-6 Structural Design-II Structural Analysis-III Foundation Engineering Transportation Engineering-II Hydrology &Flood...
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...Abou Jaoude (LKN) Dr.-Ing. Christian Hartmann (LKN) 01. April 2006 01. October 2006 ii Abstract Parameter optimization, such as antenna tilting and CPICH power, can be used to adapt the traffic capacity of 3G systems to traffic demands which are varying in the space and time dimensions. The goal of this thesis is to investigate how parameter optimization can be implemented, both in the 3G cellular system’s initial planning stage to optimize the network for CAPEX saving as well as after the deployment of the network, to increase the capacity of the system. For this purpose, appropriate models, including the space and time domain dynamics of the traffic modeling the moving hotspot characteristics, have been integrated into a system simulation tool. Meta-heuristics techniques such as Tabu Search and Simulated Annealing have been implemented to solve this NP-hard problem. Results show that the existence of optimal configurations can have an achievable capacity gain of more than 30%. iii Acknowledgements This Master Thesis would not have been possible without the support of many people. I would like to express my deep gratitude to my supervisor, Mr. Roger Abou-Jaoude for his time, guidance and invaluable support during my work. A special thanks goes to Dr.-Ing. Christian Hartmann for his useful suggestions to improve the quality of this thesis. Not forgetting my senior, Bruno El Asmar whose thesis that I am based on. Thank you for the wonderful work on the thesis and Java...
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...Available online at www.sciencedirect.com Solar Energy 98 (2013) 167–179 www.elsevier.com/locate/solener Ensuring long term investment for large scale solar power stations: Hedging instruments for green power A. Radchik a,⇑, I. Skryabin b, J. Maisano c, A. Novikov d, T. Gazarian e Mathematics & Statistics, Faculty of Science, UTS and Director GTS Pty. Ltd., Suite 2, 16 Figtree Avenue, Randwick, NSW 2031, Australia b Centre for Sustainable Energy Systems, Australian National University, Canberra 2000, Australia c Energy Markets, TTA Pty. Ltd., Suite 12, L6, 321 Pitt St., Sydney, NSW 2000, Australia d School of Mathematics & Statistics, Faculty of Science, University of Technology Sydney (UTS), P.O. Box 123, Broadway, NSW 2007, Australia e School of Mathematics & Statistics, Faculty of Science, UTS, 1 Stella Vista Pl, Greenwich, NSW 2065, Australia Available online 29 March 2013 Communicated by: Associate Editor Frank Vignola a Abstract There is a general consensus that solar power is one of the cleanest energy technologies available. Nevertheless, investment in largescale Solar Power Generators (SPGs) is largely impeded by the intermittent nature of solar power. Since the electricity market has a critical responsibility to maintain the reliability of energy supply, the SPG can be registered only as the market semi-scheduled generator (AEMC, 2011). This option excludes the advantages of providing baseload supply, which in turn impedes efficient market contracting for SPGs...
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...Sara Fisher Ellison M.I.T. Christopher M. Snyder Dartmouth College June 2010 Abstract: We study competition among a score of firms participating in an online market for a commodity-type memory module. Firms were able to adjust prices continuously and prices determined how the firms were ranked and listed (lowest price listed first), with better ranks contributing to firms' sales. Using a year's worth of hourly data, we document the pricing dynamics, cycles, and other patterns in this market. We then characterize empirically the factors which drive price changes, noting clear evidence of firm heterogeneity in the choice of pricing strategy. Finally, we develop a framework for simulating counterfactual market settings, using the simulations to examine counterfactuals involving different mixes of firms according to pricing strategies. JEL Codes: L11, C73, D21, L81 Contact Information: Ellison: Department of Economics, M.I.T., 50 Memorial Drive, Cambridge, MA 02142; tel. (617) 253-3821; fax. (617) 253-1330; email sellison@mit.edu. Snyder: Department of Economics, Dartmouth College, 301 Rockefeller Hall, Hanover, NH 03755; tel. (603) 646-0642, fax. (603) 646-2122, email chris.snyder@dartmouth.edu. Acknowledgments: The authors are grateful to Hongkai Zhang for superb research assistance and to Glenn Ellison for a number of useful conversations. 1. Introduction There is a vast and rich theoretical literature on the dynamics of repeated games. One conclusion of this...
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...PROJECT REPORT On All terrain Ground Vehicle for Low Intensity Conflict (ATV) By Bhabani Prasad Nayak(10608025), Aasis Moharana(10608002) Abhay Kumar Dash(10608003),Ratnesh Kumar(10608080) Under the guidance of Mr. J. VIJAY PRABHU, M.E. ASSISTANT PROFESSOR DEPARTMENT OF INSTRUMENTATION AND CONTROL ENGINEERING Submitted in partial fulfillment of the requirement for the award of the degree of BACHELOR OF TECHNOLOGY In INSTRUMENTATION AND CONTROL ENGINEERING Of SRM Nagar,Kattankulathur- 603 203 Kancheepuram District i BONAFIDE CERTIFICATE This is to certify that the project report titled ―All terrain Ground Vehicle or Low Intensity Conflict (ATV)‖ is a bonafide work of Bhabani Prasad Nayak(10608025), Aasis Moharana(10608002), Abhay kumar Dash(10608003), Ratnesh Kumar(10608080) who carried out the project work under my guidance.Certified further that to the best of my knowledge the work reported here in does not form part of any other project or dissertation on the basis of which a degree or award was conferred on an earlier occasion on this or any other candidate. PROJECT GUIDE Mr.J Vijay Prabhu Assistant Professor Instrumentation and Control Engineering HEAD OF THE DEPARTMENT Dr.A.Vimala Juliet Professor Instrumentation and Control Engineering SRM UNIVERSITY SRM UNIVERSITY INTERNAL EXAMINER DATE: EXTERNAL EXAMINER DATE: ii ACKNOWLEDGEMENT We sincerely acknowledge in all earnestness, the patronage provided by our Director Dr.C.Muthamizchelvan...
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...Full proposal DESIGN OF LNG NETWORKS Summary Motivation and goals LNG will become a prime fuel for ships and trucks in the foreseeable future. The European Union and national governments have outlined their policies, and many companies are preparing for a transition period towards intensive use of LNG. There is a strong need in industry for the development of the building blocks needed to develop their business cases. We develop these building blocks, some business cases, as well as methods for planning and control of the logistics in LNG synchromodal transportation networks. Activities / work packages I. LNG supply chains and synchromodal transport networks: providing an identification of markets and demand to serve, economic and sensitivity analyses, definition of logistical requirements and options for synchromodal transportation. II. Multi-modal inventory-routing problems: deriving tools to enable an efficient and effective supply to distribution points in the network through synchromodal operations. III. Direct delivery multi-modal transportation problems: deriving decision tools to enable efficient direct ship-to-ship refuelling at sea. Expected results: The main objective is to derive solution approaches to design LNG synchromodal transportation networks and tools for planning of transportation and replenishment operations to enable accessibility and efficient usage of this type of fuel for all modes of transport. Market identification, demand forecasts, economic...
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...National Decisions: The Horseman and the Bureaucrat (Grant 1988). A S KEPTIC'S GUIDE TO COMPUTER MODELS 2 The Inevitability of Using Models........................................................................3 Mental and Computer Models..............................................................................2 The Importance of Purpose..................................................................................3 Two Kinds of Models: Optimization Versus Simulation and Econometrics.......4 Optimization.............................................................................................4 Limitations of Optimization..........................................................5 When To Use Optimization..........................................................8 Simulation................................................................................................9 Limitations of Simulation.............................................................11 Econometrics............................................................................................13 Limitations of Econometric...
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...CCEA ICT Contents [hide] * 1 Complete ICT Revision Guide (CCEA) * 2 Knowledge of ICT Components * 3 INPUT DEVICES * 4 OUTPUT DEVICES * 5 STORAGE DEVICES * 6 INFORMATION AND DATA * 7 DATA STRUCTURE * 8 DATA CHECKING * 9 DATA PORTABILITY * 10 DATA NETWORKS * 11 INTERNET, INTRANET AND WWW * 12 TRANSMISSION, BACKUP, TELECONFERENCING * 13 APPLICATIONS * 14 SOFTWARE PACKAGES * 15 VIRTUAL REALITY IN TRAINING, ENTERTAINMENT * 16 COMPUTERS IN CONTROL (REAL TIME) * 17 ON-LINE SERVICES * 18 SECURITY AND PRIVACY OF DATA * 19 HEALTH AND SOCIAL ISSUES * 20 EMPLOYMENT * 21 ICT IN MUSIC, LEISURE, ENTERTAINMENT | ------------------------------------------------- Knowledge of ICT Components 1. DIGITAL : • Discrete values or binary digit 2. PROCESSOR: • Control center of the computer 3. RAM:- • Volatile (temporary storage), working storage, holds programmes currently in use, • Used for writing to and reading. • Measured in gigabytes 4. ROM:- • Instructions computer needs to start, • Non-volatile (permanent storage), can’t be changed, only read • Stores the Boot up/Start up program for the PC START UP STEPS:- • Power up • Read ROM chip • Connect all in and output devices • Load DOS from hard drive. • Load windows from hard drive 5. CACHE:- • Temporary storage, • Stores most frequently used instructions, • Is RAM memory that the computer microprocessor can access more quickly. • Volatile (128kb-512kb). 6. DOS:- Disk Operating System, 7. GUI:-...
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