## CHECK THESE SAMPLES OF Linear programming model

...? **LINEAR** **PROGRAMMING** APPLIED TO AGGREGATE PRODUCTION PLANNING OF FLAT SCREEN MONITOR This project applies **Linear** **Programming** **model** to an aggregate production planning of flat screen monitors of type A and type B at XYZ Company with the goal to minimize production costs. Aggregate planning problems for flat screen monitor can be resolved and production optimized by using **linear** **programming** to reduce costs. **Linear** **programming** can also be used in finding an optimal solution to problems for the purpose of minimizing total costs by affecting variables such as the workforce and the demand planning, as well as the minimization of the inventory balance and holding cost. Table of Contents This project applies **Linear** **Programming** **model**... to an...

9 Pages(2250 words)Research Paper

...variable) and divisible (allows for fractional values), hence its name (Powell & Baker, 2010). The applications of **linear** **programming** span providing solutions to problems involving economics, computer science, and practically any other industry that requires a production schedule or an actual scheduling process. Moreover, the optimizing feature of **linear** **programming** makes it a necessity for people in the management circle to be familiar with. Simplex algorithm A **linear** **programming** **model** is typically solved using a simplex algorithm, or sometimes also referred to as the **linear** solver (Powell & Baker,...

3 Pages(750 words)Research Paper

...INTRODUCTION The purpose of this statistical research was three-fold. Firstly it was to explore the use of the R 2.0.0 **program** in statistical analysis. Secondly, it was to explore the General **Linear** **Model** in a case where the response variable is dichotomous. Finally, the research would provide some practical experience for the author in applyling real world data to a research question in the education field, and being able to interprete the results in a meaningful manner. Though the main two purposes for this paper were statistical analysis it is important to understand the research question and all the factors surrounding it.
It is not sufficient to just 'plug variables into a...

32 Pages(8000 words)Coursework

..."**Programming**, both **linear** and non-**linear**, is entirely a mathematical technique. Its economic meaning is therefore nil". (W.Baumol). Introduction: Most of the decision **models** are formulated in terms of mathematical symbols and relations. Mathematics gives precision which is important in decisions. Decisions have to be precise and sharp. To the extent that the economic decisions are measurable and quantifiable, the use of mathematics is acceptable. Symbols and numbers alone do not suffice; additionally, the logic of reasoning behind those numbers and symbols is also required. Scientific decisions arrived through the use of mathematical tools and statistical techniques should have an intuitive appeal and logical support, otherwise... , the...

7 Pages(1750 words)Essay

..."The Boola Boola Biscuit Company" A **Linear** **Programming** (Operation Management) Case Study **Linear** **Programming** is an essential decision making tool inProduction and Operation Management. It is used to determine the most effective way of using an organization's limited resources. {Heizer, Jay and Render, Render. "Production and Operations Management" p.240}. In mathematics, **linear** **programming** (LP) problems involve the optimization of a **linear** objective function (i.e., maximize profit or minimize cost) subject to **linear** equality and inequality contraints. {"**Linear**...

4 Pages(1000 words)Math Problem

...Summary Brass Ltd. is in need of an optimal solution to its product manufacturing problem. The problem involves manufacturing of two products amid a number of constraints such as availability of capacity, regulations on maximum output and controlled selling prices. The purpose of the report is to find an optimal solution to this problem using a **linear** **programming** **model**. The **model** has been solved using excel solver and the optimal solution is obtained. Further, a sensitivity analysis has been used to consider the impact of capacity increase on profitability. The report concludes with a few recommendations.
1. Problem Statement
Brass Ltd. manufactures two products named...

5 Pages(1250 words)Assignment

...Graphical **Model** – **Linear** **Programming** Task 2 College Graphical **Model** – **Linear** **Programming** Task 2 Task: A. There are three constraints nutrient C, flavor additive and color additive hat are plotted on the attached “Graph 1”. The supply of three ingredients for each production period is limited to 30 units of nutrient C, 72 units of flavor additive and 90 units of color additive.
The formula for a case of Brand X calls for 4 units of nutrient C, 12 units of flavor additive, and 6 units of color additive. The Brand Y formula per case requires 4 units of nutrient C, 6 units of flavor additive, and 15 units of color additive.
Therefore,...

2 Pages(500 words)Speech or Presentation

... Submitted by: Mitchelle **Linear** **Model** and Non-**linear** **Model** PART L-R Curve-Fitting Project **Linear** **Model**: Swimming, 200 m Breaststroke Women, Summer Olympics 1936-2008
Purpose: To analyze the winning times (Gold times) of the Summer Olympics 200m Breaststroke Women swimming competition using a **linear** **model**.
Data: The data was retrieved from: http://www.databaseolympics.com/games/gamessport.htm?g=11&sp=SWI
DATA LR-2: SCATTER PLOT
Correlation coefficient = -0.850933406
L-R 2: The winning times as listed herein includes the gold times (winning times) that were recorded in the Summer Olympics from the year 1936 up to the year 2008.
L-R 3: Line of best fit (regression line)
Collection and plotting of collected data values is only... ...

8 Pages(2000 words)Essay

...Executive Summary SABIC is not functioning optimally in the allocation of operational costs. From the company’s archives, data for 13 months from which a strategy for planning 12 years of manufacturing was accessed. Using **linear** **programming**, as a mathematical approach of balancing priorities against other business activities, the company sought to minimize production costs as well as the amount spend on holding inventory. The developed **model** from the production scenario stipulates that the company’s best strategy is to certify that at any given production term, the produced items are less or equal to the company’s production capacity (P(t) ≤CAP).
Optimization Methods in...

4 Pages(1000 words)Lab Report

...How to invest College: Investment in stocks 10%, on real e s 7% on bonds 4% and CD is a wise investment decision because it brings an annual profit of $72500 which is a good amount of the invested cash amounting to $1000000.
If an additional of $500000 is added to the initial $1000000 then spending in the initial stocks 10%, real estate 7%, bonds 4% and CD 1% would be a wise decision because in the long run it will yield a yearly maximum profit of about $108,750, enough profit.
You would maintain the portfolio investment if stock yields lowered to 6%? NO, of cause not. This is because the yearly investment on the profits would gravely decrease which is opposite to the portfolios objectives that are to maximize the profits.
I would...

3 Pages(750 words)Coursework