A LINEAR PROGRAMMING MODEL OF INTEGRATED IRON AND STEEL PRODUCTION *t TmOR FABIAN University of California‚ Los Angeles Integrated steel mills usually have a choice over the use of various materials and production procMses. Different ores may be used in the proiduction of iron; steel scrap and iron can be used in different proportions in the production of steel. The economical usage rate of all materials is a fimction of numerous variables‚ among which the market price of some materials‚ notably
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Chapter I Introduction to control systems 1 EE352: Lecture 01: Introduction to linear control systems Definition 1 (Control system). an interconnection of subsystems and processes forming a configuration that will lead to the desired output‚ given a specified input. Desired output Reference input Control system plant reference input Actual output system response controlled variable The control system manipulates the input of the process to get the desired response
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(Balakrishnan/Render/Stair) Chapter 2 Linear Programming Models: Graphical and Computer Methods 2.1 Chapter Questions 1) Consider the following linear programming model: Max X12 + X2 + 3X3 Subject to: X1 + X2 ≤ 3 X1 + X2 ≤ 1 X1‚ X2 ≥ 0 This problem violates which of the following assumptions? A) certainty B) proportionality C) divisibility D) linearity E) integrality Answer: D Page Ref: 22 Topic: Developing a Linear Programming Model Difficulty: Easy 2) Consider the following linear programming model: Min 2X1
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Strategic Capacity Planning Several factors are taken into consideration for strategic capacity planning. Because Riordan Manufacturing produces plastic injection molding to create innovative plastic designs capacity planning is viewed in three time durations. First is long range‚ which means greater than one year and include buildings‚ equipment or facilities. Second‚ is intermediate range‚ which involves monthly or quarterly plans for the next 6 to 18 months. On this level capacity can vary
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material quantity of Kaufmann manufacturing company was way above the budget Question 4(a) Actual power cost= 1‚200‚000 dollars Standard power cost = 1‚200‚000dollars Variance = Actual power cost – standard power cost = 1‚200‚000dollars – 1‚200‚000dollars =0 dollars The total power cost variance equals to 0 dollars. It is therefore seen that the variance is neither favorable nor unfavorable because it is the same amount as the one that is planned for by Kaufmann manufacturing company. Question 4(b)
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Professor Amit Seru Linear Technologies Case “I pledge my honor that I have not violated the Chicago Booth honor code for this assignment” Viral Patel 1. Linear’s historical payout policy has been to pay a quarterly dividend of $0.05/share and use any additional funds to repurchase shares to increase shareholder value. This kept their payout ratio to around 15% until about 2002 where this dividend payout moved the ratio to around 25% to 30%. Currently Linear is sitting on a large
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a higher employment will be followed by a higher output and thereby income. Not only that‚ a higher level of employment encourages advancement in education‚ skill formation‚ human resource development and a better physical quality of life. Hence‚ study of employment helps us to estimate the real status of the economy. Objective Reading this lesson‚ students will be in a position to understand employment potential of various sector of the economy‚ rise and fall of employment in different sector
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In the finding of the liquidity‚ profitability and the solvency ratios regarding the Riordan Manufacturing Inc‚ it has revealed that the company is able to pay its debts to the creditors and investors. The liquidity ratio is good for our investors‚ creditors and bankers so that they can see that we can pay off our debts. With the profitability ratio‚ it comes in handy for the company when trying to find out if we have made any profit for the year or it we have lost money. With using the profitability
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Improving Business Systems and Subsystems: Riordan Manufacturing Case Study Jamie Franklin‚ Justin Perrine‚ Eric Kambestad and Kayode Tomoloju Business Systems/BSA 310 University of Phoenix Instructor: Tom Swanson PhD‚ PMP. November 8‚ 2009 Introduction The Chief Executive Officer of Riordan Manufacturing in a service Request SR-rm-012 requested a summary evaluation that will lead to improvement on all level of Business systems and Subsystems that is currently in place at Riordan
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Solving systems of linear equations 7.1 Introduction Let a system of linear equations of the following form: a11 x1 a21 x1 a12 x2 a22 x2 ai1x1 ai 2 x2 am1 x1 am2 x2 a1n xn a2 n x n ain xn amn xn b1 b2 bi bm (7.1) be considered‚ where x1 ‚ x2 ‚ ... ‚ xn are the unknowns‚ elements aik (i = 1‚ 2‚ ...‚ m; k = 1‚ 2‚ ...‚ n) are the coefficients‚ bi (i = 1‚ 2‚ ...‚ m) are the free terms
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