Modeling‚ decision making‚ and optimization In practical life‚ we have to continually make decisions. Making decisions are required for solving problems so that we can increase our opportunities and make life much easier and beneficial. There are many alternatives for making decisions‚ but making a rightful decision is a harder task. Evaluating these alternatives and choosing the best course of action represents the main essence of decision analysis. For analyzing various decision
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Course MBA – 2nd Semester Subject Operations Research Assignment MB0048 – Set 1 Q.1. (a) what is linear programming problem? (b) A toy company manufactures two types of dolls‚ a basic version doll- A and a deluxe version doll-B. Each doll of type B takes twice as long to produce as one of type A‚ and the company would have time to make maximum of 1000 per day. The supply of plastic is sufficient to produce 1000 dolls per day (both A & B combined). The deluxe version requires
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[Type the company name] 10 extrema Types‚ formula usage‚ and applications fzfairy Extrema Definition of an Extrema The extrema of a function f are the values where f is either a maximum or a minimum. More rigorously‚ we have Let f be a function defined on the interval (a‚b) containing the point c. Then * f has minimum at c if f(c) < f(x) for all x in (a‚b). * f has maximum at c if f(c) > f(x) for all x in (a‚b). The following definition gives the types of minimums
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500 Southwest 600 In addition maximum water available is 7400 The constraints are: On Sales: Per acre production Total Production Maximum Sales Wheat 50 bushels 110‚000 Alfalfa 1.5 tons 1800 Barley 2.2 tons 2200 Constraints: Thus mathematical model is: Maximize: Subject to: Solving the problem using solver of MS Excel we get the solution as follows: Variable Solution 547.21 544.90 422.71 311.34 373.84 65.52 65.52 0.00 Variable Max. Profit
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Mathematical Theory and Modeling ISSN 2224-5804 (Paper) ISSN 2225-0522 (Online) Vol.4‚ No.1‚ 2014 www.iiste.org A comparative study of initial basic feasible solution methods for transportation problems Abdul Sattar Soomro1 Gurudeo Anand Tularam2 Ghulam Murtaa Bhayo3 dr_sattarsoomro@yahoo.co.in‚ a.tularam@griffith.edu.au‚ gmsindhi@yahoo.com 1 Professor of Mathematics‚ Institute of Mathematics and Computer Science‚ University of Sindh‚ Jamshoro‚ Sindh‚ Pakistan 2 Senior Lecturer‚ Mathematics and
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Logical-Mathematical Intelligence The theory of multiple intelligences was thought up by Howard Gardner through his opinion on people having not only one way of thinking. Howard Gardner is a Professor of Education at Harvard Graduate School of Education and author of Multiple Intelligence: New Horizons and many other books. Gardner defines intelligence as an ability or set of abilities that allow a person to solve a problem or fashion a product that is valued in one or more cultures (Lane‚ 2005)
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wide variety of optimization strategies for different quer y languages and implementation environments. However‚ very little is known about how to design and structure the query optimization component to implement these strategies. This paper proposes a first step towards the design of a modular query optimizer. We describe its operations by transformation rules which generate different QEPs from initial query specifications. As we distinguish different aspects of the query optimization process‚ our
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Research. Operations Research Methodology The basic dominant characteristic feature of operations research is that it employs mathematical representations or models to analyse problems. This distinct approach represents an adaptation of the scientific methodology used by the physical sciences. The scientific method translates a real given problem into a mathematical representation which is solved and retransformed into the original context. The OR approach to problem solving consists of the following
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Proceedings of the 2010 International Conference on Industrial Engineering and Operations Management Dhaka‚ Bangladesh‚ January 9 – 10‚ 2010 Application of Integer Linear Programming Model for Vendor Selection in a Two Stage Supply Chain A. John Rajan Department of Mechanical and Production Engineering Sathyabama University‚ Chennai‚ India K. Ganesh Senior consultant‚ Global Business Services‚ IBM India Private Limited‚ Mumbai‚ India K.V. Narayanan Controller of Examinations‚ Sathyabama
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Reprinted with corrections from The Bell System Technical Journal‚ Vol. 27‚ pp. 379–423‚ 623–656‚ July‚ October‚ 1948. A Mathematical Theory of Communication By C. E. SHANNON T I NTRODUCTION HE recent development of various methods of modulation such as PCM and PPM which exchange bandwidth for signal-to-noise ratio has intensified the interest in a general theory of communication. A basis for such a theory is contained in the important papers of Nyquist 1 and Hartley2 on this subject
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