T | P | C | | | 3 | 1 | - | 4 | Course Objectives | To train the students in basic mathematics essential for modeling and solving engineering problems. | Course Outcomes | 1. An ability to apply knowledge of mathematics, science and engineering. 2. An ability to identify, formulate and solve engineering problems | Differential Calculus: Review: Functions and graphs, Limits and Continuity, Differentiation, Maxima and minima of a function, Rolle’s Theorem, Mean Value
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semester examination carrying 80 marks will have two sections A and B. Section A worth 60 marks will have 6 theory questions out of which students will be required to attempt any four questions. Section B carrying 20 marks will contain one or more cases. Cases prescribed below are only for classroom discussion and internal evaluation and not for end semester examinations Course contents 1. Concept of Management Functions and Responsibilities of Managers, Fayol's Principles of Management, Management
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Abstract Model Paper Analyze the different types of abstract models and examples of the problems that are applicable to each type of model. Write the paper in 2–3 pages including the following details: * A brief description of each type of model: * Deterministic * Probability * Simulation * Discipline specific * A brief description of problem for which each model is applicable. * Why each example is applicable to the model for which it was chosen? Present
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of one such technique. Statistical analysis is also an example of a quantitative technique. C. Quantitative techniques are applied for business analysis to optimize decision making IE profit maximization and cost minimization). It covers linear programming models and other special algorithms, inventory and production models; decision making process under certainty, uncertainty and risk; decision tree construction and analysis; network models; PERT and CPA business forecasting models; and computer
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MASTER OF TECHNOLOGY ADVANCED ELECTIVES SELECTION For Semester II 2014/2015 ATA/SE-DIP/TS-11/V1.34 Master of Technology in Software /Knowledge Engineering and Enterprise Business Analytics Table of Contents. MTECH ADVANCED ELECTIVES 1. INTRODUCTION. 1.1 Overview. 1.2 Courses. 1.3 Assessment. 1.4 Elective Selection Process. 2 2 2 2 3 3 2. SCHEDULE FOR ADVANCED ELECTIVES OFFERED DURING SEMESTER II 2014/2015. 2.1 MTech SE and KE Students. 2.2 MTech EBAC Students. 5 5 9 3
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new warehouses. The problem is modeled as a linear program with objective to minimize cost. However, the model must be formulated as piecewise linear in order to account for the non-linear warehousing costs. The recommended course of action for Usemore is to build 1 new plant, shut down 5 of the existing public warehouses, and open 5 of the new warehouses. Table of Contents Abstract ii 1. Introduction 1 2. Current Situation 2 2.1 Problem Statement 2 2.2 Problem Data 2 3. Proposed
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AMBA 640 / AMBA 640 HYBRID COURSE MATERIALS ASSIGNMENTS Acme Mexico City and Application of World-Class Operations and Information Systems Management Techniques and Production Planning and Strategy for Toyota North America (Version 06/01/15) Background Information for Acme Mexico City Acme Home Improvements, Inc. was founded in 1982 in Raleigh, North Carolina, USA. By mid 2015, the company had 125 stores along the US East Coast from Florida to Maine. Its annual sales are currently ~$5,400,000
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Overview of Applications by Discipline ECONOMICS Estimating sensitivity of demand to price 352–356 Pricing problems 352–366, 422–427 Estimating cost of power 363–366 47–56, Assessing a utility function 554–556 Estimating demand for products 632–638, 649–650, 764–771, 965 Subway token hoarding 792 FINANCE AND ACCOUNTING Collecting on delinquent credit accounts 14–16 Cost projections 29–33 Finding a breakeven point 33–41 Calculating NPV 57–62 Calculating NPV for production capacity
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An Iterated Dynasearch Algorithm for the Single-Machine Total Weighted Tardiness Scheduling Problem Faculty of Mathematical Studies, University of Southampton, Southampton, SO17 1BJ, UK Faculty of Mathematical Studies, University of Southampton, Southampton, SO17 1BJ, UK Department of Decision and Information Sciences, Rotterdam School of Management, Erasmus University, P.O. Box 1738, 3000 DR Rotterdam, The Netherlands Richard.Congram@paconsulting.com • C.N.Potts@maths.soton.ac.uk • S.Velde@fac
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is zero. As opposed to this, if the sum of gains or losses is not equal to zero, we call it a non-zero-sum game. When the best strategy for each player is to play one particular strategy throughout the game, it is known as a pure strategy game. In case the optimum plan for each player is to employ different strategies at different times, it is called a mixed strategy game. When there is communication between the participants they may reach agreement and increase their pay-off through some forms of
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