Chapter 01 Abstract City life is changing day by day. People are experiencing more and more changes and developments. People from diverse walks of life are also settling themselves with the growing pace. For the marketer‚ it has become a great opportunity to understand the actual needs and wants of the population and while providing them with the commodities‚ the service industries are also going through tremendous changes. The Chain Superstores are now a growing phenomenon in Dhaka city.
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performance of the system. Techniques and tools of operation research: Linear programming: You can use linear programming to find a solution for optimising a given objective. The objective may be to maximize profit or to minimize cost. Inventory control methods: The production‚ purchasing‚ and material managers are always confronted with questions‚ such as when To buy‚ and how much to keep in stock. Goal programming: In linear programming ‚ you take a single objective function and consider all other
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scientific approach to managerial problemsolving under such other names as systems analysis‚ cost–benefit analysis‚ and cost-effectiveness analysis. We will adhere to management science throughout this book. Mathematical programming‚ and especially linear programming‚ is one of the best developed and most used branches of management science. It concerns the optimum allocation of limited resources among competing activities‚ under a set of constraints imposed by the nature of the problem being studied
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in a regular flow. • Briefly outline the forecastng technique(s) used by the company. Coca-Cola uses the forecasting technique of linear regression using a functional relationship between two or more correlated variables. The relationship is usually developed from observable data and plotted in a graph the two variables regress to form a straight line.The linear regression line is of the form Y=a+bX‚ where Y is the value of the dependent variable that we are solving for‚a is the Y-intercept‚ b
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Report content Introduction Two- dimensional stress and strain Multi- channel strain measurement Non- linear behavior of thin plates Objectives Theory and baackground Two- dimensional state of stress and strain Resistance strain gauges‚ gauge rosettes and strain measurement circuits Linearity of material behavior and structural behavior Equipment Arrangement of strain gauge rosettes on the plate Plate loading rig Procedures Loading Unloading Results Discussion
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Projected Total Sales of Sundance Direct Sales Calamba Branch in 2011 | A Term Paper for MGT 121 | Sandy Rose C. Nombrefia | Projected Total Sales of Sundance Direct Sales Calamba Branch in 2011 Introduction Billboards‚ signage and eye-catching advertisement paraphernalia of different direct selling companies are sprouting everywhere‚ either local or international. Many companies established names and compete to prolong their standing in the business world. Defined in businessdictionary
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. . . 7 8 9 10 12 13 21 22 24 35 35 37 40 40 42 48 48 50 50 52 53 55 55 56 Linear programs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Integer programs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Optimization problems on graphs . . . . . . . . . . . . . . . . . . . . . . . . Integer programs‚ continued . . . . . . . . . . . . . . . . . . . . . . . . . . Non linear programs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Overview
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values were then used to create a scatter plot so that we could see the price differentials in a visual format. Then‚ a linear regression line was added to show the increase throughout the years in a linear fashion‚ thereby helping us determine where the prices will average out to in the years to come. There are‚ of course‚ things that may greatly change the course of the linear regression line that cannot
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estimate how sales are influenced by the price of their product. To do so‚ the company randomly chooses 6 small cities and offers the candy bar at different prices. Using the candy bar sales as the dependent variable‚ the company will conduct a simple linear regression on the data below: Prics ($) | Sales | 1.30 | 100 | 1.60 | 90 | 1.80 | 90 | 2.00 | 40 | 2.40 | 38 | 2.90 | 32 | | | What is the estimated slope (b1 for this data set? 161.3855 0.784 -0.3810 -48.193 POINT
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regression are concerned with measuring the linear relationship between two variables. 1.1 Scattergram It is not a graph at all‚ it looks at first glance like a series of dots placed haphazardly on a sheet of graph paper. The purpose of scattergram is to illustrate diagrammatically any relationship between two variables. (a) If the variables are related‚ what kind of relationship it is‚ linear or nonlinear ? (b) If the relationship is linear‚ the scattergram will show whether
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