ISSN: 2277-3754 ISO 9001:2008 Certified International Journal of Engineering and Innovative Technology (IJEIT) Volume 2‚ Issue 11‚ May 2013 Application of Taguchi Methods and ANOVA in GTAW Process Parameters Optimization for Aluminium Alloy 7039 Anoop C A‚ Pawan Kumar Department of Mechanical Engineering‚ NIT Calicut (Kerala)‚ India VRDE‚ Defence Research and Development Organization‚ Ahmednagar (MS)‚ India Vainarman et al. [2] reported that the use of pulsed arc welding in place of
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TECHNIQUES ----------------------------------------------------------------------------------------- 2.1 INFORMED SEARCH AND EXPLORATION 2.1.1 Informed(Heuristic) Search Strategies 2.1.2 Heuristic Functions 2.1.3 Local Search Algorithms and Optimization Problems 2.1.4 Local Search in Continuous Spaces 2.1.5 Online Search Agents and Unknown Environments ----------------------------------------------------------------------------------------------------------------------- 2.2 CONSTRAINT
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Optimization Processes Network Optimization process involves the following activities: • FIRST SET THE CRITERION (GOAL) OF OPTIMIZATION PROCESS o BASELINE & TARGET KPI’s. o DELIVERABLES • • • • • CONDUCTING A BASELINE PHYSICAL AUDIT REMOVING ALL SERVICE AFFECTING ALARMS IDENTIFYING POOR COVERAGE AREAS IDENTIFYING CAPACITY CONSTRAINTS & OVERUTILIZED CELLS VARIOUS KPIs with Root-Cause-Analysis of problems. o o Frequency Plan (BCCH & TCH) Neighbor plan • • CONDUCTING A GSM SYSTEM
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Optimization Note Examples 1. Farmer McDonald has 800 m of fencing and wishes to enclose a rectangular field. One side of the field is against a river and does not need fencing. Find the dimensions of the field if the fenced area is to be a maximum. A county fair has a holding area for prize sheep that are entered in a contest. The holding area is made up of 12 identical pens arranged in a two by six grid. If 100 m of fencing is available‚ what dimensions of each pen would maximize the total holding
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informed decisions. All date and input factors are known with certainty. Linear program models are developed in three different steps: Formulation Solution Interpretation The formulation step deals with displaying the problem in a mathematical form. Once that is developed the solution stage solves the problem and finds the variable values. During the interpretation stage the sensitivity analysis gives managers the opportunity to answer hypothetical questions regarding the solutions
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Operations Management II Introduction to Operations Research Operations Research (OR) Definition Operations Research is the representation of real world systems by mathematical models together with the use of quantitative methods (Algorithms) for solving such models‚ with a view of optimising. - (J.E Beasley) “The attack of modern science on complex problems arising in the direction and management of large systems of men‚ machines‚ materials and money in industry‚ business‚ government
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SLIDES . BY . . . . St. Edward’s Univ. . . . . . . . John Loucks © 2013 Cengage Learning. All Rights Reserved. May not be scanned‚ copied Slide 1 or duplicated‚ or posted to a publicly accessible website‚ in whole or in part. Chapter 1 Introduction Body of Knowledge Problem Solving and Decision Making Quantitative Analysis and Decision Making Quantitative Analysis Models of Cost‚ Revenue‚ and Profit Quantitative Methods in Practice © 2013 Cengage Learning. All Rights Reserved. May
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number of edges. Raghavan mentioned that 95% of nodes or more are classified correctly by the end of iteration 5 [14]. So it is applicable to large-scale networks due to this simple local and decentralized process. In addition‚ neither does LPA need optimization of the predefined objective function nor does it need priori information on numbers and scales of the community. Furthermore‚ there is no limit on the size of the community and the division effect is very ideal. So LPA has become one of the most
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used by operations managers and other managers to obtain optimal solutions to problems that involve restrictions or limitations‚ such as the available materials‚ budgets‚ and labour and machine time. These problems are referred to as constrained optimization problems. There are numerous examples of linear programming applications to such problems‚ including: • Establishing locations for emergency equipment and personnel that will minimize response time •
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model (c) a verbal model (d) a mathematical model 4. The quantitative approach to decision analysis is a (a) logical approach (b) rational approach (c) scientific approach (d) all of the above 5. OR approach is typically based on the use of (a) Physical model (b) Mathematical model (c) Iconic model (d) Descriptive model 6. The mathematical model of an LP problem is important because (a) it helps in converting the verbal description and numerical data into mathematical expression (b) decision-makers
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