FORECASTING Managers are always trying to reduce uncertainty and make better estimates of what will happen in the future; this is the main purpose of forecasting. Some firms use subjective methods‚ seat-of-the pants methods‚ intuition‚ and experience. There are also several quantitative techniques‚ moving averages‚ exponential smoothing‚ trend projections‚ and least squares regression analysis. Eight steps to forecasting: * Determine the use of the forecast—what objective are we trying to
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Convex Optimization Convex Optimization Stephen Boyd Department of Electrical Engineering Stanford University Lieven Vandenberghe Electrical Engineering Department University of California‚ Los Angeles cambridge university press Cambridge‚ New York‚ Melbourne‚ Madrid‚ Cape Town‚ Singapore‚ S˜o Paolo‚ Delhi a Cambridge University Press The Edinburgh Building‚ Cambridge‚ CB2 8RU‚ UK Published in the United States of America by Cambridge University Press‚ New York http://www.cambridge
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Table of contents Chapter No. 1. 2. 3. 4. Topics Introduction 1.1 Origin of Ant Colony Optimization 1.2 Towards Artificial Ants 1.3 ACO Metahueristic 1.4 Applying ACO to TSP 1.4.1 Detailed implementation of TSP with ACO 1.5 Ant System and Successors 1.5.1 Elitist Ant System 1.5.2 Rank Based Ant System 1.5.3 Max-Min Ant System 1.5.3 Ant Colony System Literature survey Further scope References 1 Page No. 4 5-7 7-9 9-10 10-11 11-14 14 14-15 15-16 16-18 18-19
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Project Report #1 (Advanced Operation Research) Title : Production Planning Optimization Using Goal Programming Method I. Introduction Today many companies that produce herbs because in the future opportunities for the herbal industry is still wide open and the public mind back to nature and go green‚ so consumer more like the various products especially natural herbal medicine. Therefore‚ in order to survive in existing market competition‚ PT. NM are required to
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5.1.2 Performance Optimization of Different Subsystem in Selected Industries The failure and repair parameters of each subsystem highly influence the performance of various subsystems/components of industries. In the present work‚ G.A. is proposed to synchronize the failure and repair parameters of all subsystems for achieving optimal availability. To use G.A. for solving the given problems‚ the chromosomes are to be coded in real structures. The system parameters are mapped in between the specific
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COMPARISMS OF OPTIMIZATION STRATEGIES FOR THE TRAVELLING SALESMAN PROBLEM Department of Information Systems and Computing B.Sc. (Hons) Computer Science‚ Artificial Intelligence Academic Year 2012-2013 Comparison of Optimization Strategies for the Travelling Salesman Problem Adewale Oluwaseun Mako (0941620) A Report Submitted in the partial fulfilment of the requirement for the degree of Bachelor of Science Brunel University Department of Information Systems and Computing Uxbridge
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’Capex Optimization Strategies: Operator Best Practices for Making the Most of 3G Network Capex‚’ a Telecom Insider Report by Researcher‚ presents a selection of 17 techniques for managing 3G networks in a capex-efficient way. These techniques have resulted from the application of the MASI‚ PYR’s proprietary framework for analyzing and optimizing capex‚ to the capex profiles of a wide variety of operators. In this report‚ we explain each of these capex-effective techniques for managing networks
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Business Administration (SF) Ayya Nadar Janaki Ammal College (Autonomous)‚ Sivakasi ABSTRACT Social Media Marketing reaches wide audiences and builds a trusting‚ long-lasting relationship between your business and your clients. Social Media Optimization it is nothing but spread the word-of-mouth. Today‚ millions of people spend much time in social media; get connected to large group people under one roof. This bridges the gap between the company and the consumers. This is an upcoming trend the
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BEE COLONY OPTIMIZATION (BCO) IN LRT/MRT ROUTING SYSTEM TABLE OF CONTENT CHAPTER 1 INTRODUCTION 1.1 Introduction 1 1.2 Research Background 1 1.3 Problem Statement 3 1.4 Research Aim 4 1.5 Research Objectives 5 1.6 Scope of Research 5 1.7 Significance of Research 6 1.8 Research Methodology 6 1.8.1 6 1.8.2 Interview Survey 7 1.8.3 Model of Development 7 1.8.4 1.9 Literature Review
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IBM Case Study US Dairy Industry Leader Supply Chain Strategy and Network Optimization Overview With annual sales of more than U.S.$44 billion‚ this Dairy Industry Leader is one of the largest processors and distributors of milk and other dairy products in the United States. The company sells milk and a full range of other dairy products under more than 50 wellknown local and regional brands and a wide array of private labels. Business need: The company looked at its supply chain and saw that
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