. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1 1 1 2 2 General Description 2.1 2.2 2.3 2.4 Product Perspective . . . . Product Functions Overview User Characteristics . . . . General Constraints . . . . . 3 3 3 4 4 3 Information Description 3.1 Entities and Relationships . . . . . . 3.1.1 Entities . . . . . . . . . . . . 3.1.2 Relationships . . . . . . . . . 3.2 Data Dictionary . . . . . . . . . . . . 3.2.1 Entity item . . .
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Bottlenecks of the CSA Process For this assignment‚ the class is asked to identify the bottlenecks of the chosen process from week one. The goal of this assignment is to apply Goldratt’s theory of constraints to identify and overcome process bottlenecks. Goldratt’s theory of constraints is a popular problem-solving approach that many manufacturing businesses implement. However‚ the theory can be applied to almost any business. In analyzing the CSA process‚ it is determined that the major
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z=39000x+38000y-36000x-33000y-8600000Z=3000x+5000y-8600000 The Constraints are:Engine assembly: x + 2y <= 4000Metal stamping: 2x + 2y <=6000Model 101 assembly: 2x <=5000Model 102 assembly: 3y <= 4500x‚y>=0.Solving‚ x=2000‚ y=1000‚ z=2400000(b)If engine assembly capacity is increased by 1 unit to 4001‚ optimal productmix is x=1999‚ y=1001. By sensitivity analysis‚ shadow price for engineassembly is 2000 for allowable increase/decrease of available constraint by500. Hence‚ extra unit of capacity is worth
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have the conference. 2. As part of defining the decision problem‚ the following questions should be addressed: * What is the general nature of the problem? * What event triggered the situation? * Are we imposing any constraints on the situation? * What are the underlying elements of the problem? * Are there dependencies on other decisions? What is the general nature of the problem? : The general nature of the problem is that we don’t have a location
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relationship between the variables. For example‚ the linear relationships between hours of labour and output in a textiles factory means an increase or decrease in labour force has a direct impact on production‚ which is the output. Due to the constraints‚ it is essential to solve the linear programming problem and find the feasible region of the objective function. 2 ANSWER (A) OPTIMAL PROFIT Calculations Brass Ltd produces two products‚ the Masso product
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Recognizing the Need • Step 2 - Defining the Problem – Goals – Objectives – Constraints B.Hyman/ Fundamentals of Engineering Design Chapter2/Rev.6/26/02 4 Formulating Design Problem • “The ABET” definition of engineering design states that any engineering design must satisfy desired needs” 5 • Step 1 - Recognizing the Need • Step 2 - Defining the Problem – Goals – Objectives – Constraints B.Hyman/ Fundamentals of Engineering Design Chapter2/Rev.6/26/02 6 Recognizing
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y ≤ 15 x‚ y ≥ 0 (C − 1) (C − 2) (C − 3) (C − 4) & (C − 5) First step to solve above LPP by graphical method‚ is to plot the inequality constraints oneby-one on a graph paper. Fig. 1a shows one such plotted constraint. 5 4 3 2 1 0 -2 -1 -1 -2 0 1 2 3 4 5 2x − 3y ≤ 5 Fig. 1a Plot showing first constraint ( 2 x − 3 y ≤ 5 ) Fig. 1b shows all the constraints including the nonnegativity of the decision variables (i.e.‚ x ≥ 0 and y ≥ 0 ). D Nagesh Kumar‚ IISc‚ Bangalore M3L2 Optimization
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August 17‚ 2012 Project management is one of the most important and critical tool or technique‚ which defines the entire course of development of any kind of project. Project management works as an ignition for the chain reaction of the whole development cycle. It also helps to layout each and every step of the development cycle and defines the action plan to be followed during the risk-conditions. Not only this‚ project management methodologies help track down the success rate for a project
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Using EXCEL for Asset Allocation and Performing Market Efficiency Studies 1. Introduction There are several features in EXCEL that are very useful for asset allocation and performing market efficiency studies. These features used in conjunction with live or historical data allows one to apply the sophisticated techniques discussed in this class in practical situations. This write-up will introduce students to the various mathematical and statistical functions available in EXCEL and explain
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level and output at the lowest possible cost‚ subject to the labour‚ capital‚ and other constraints that the firm may face. Optimal product mix. In the real world‚ most firms produce a variety of products rather than a single one and must determine how to best use their plants‚ labour‚ and other inputs to produce the combination or mix of products that maximizes their total profits subject to the constraints they face. For example‚ the production of a particular commodity may lead to the highest
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