2011-2012 2012-2013 2011-2012 2012-2013 Current Ratio 2.5 2.5 3.4 4.0 Quick Ratio 0.5 -0.2 0.6 1.0 Long Term Debt to Equity 0.2 0.4 2.7 1.8 Inventory Turnover 12.9 10.0 9.3 8.6 Total Assets Turnover 1.4 1.4 1.4 1.4 Accounts Receivable Turnover 65.1 58.8 48.9 39.2 Average Collection Period 5.6 6.2 7.5 9.3 Gross Profit Margin 0.4 0.4 0.4 0.4 Net Profit Margin 0.0 0.0 0.0 0.0 Return on Total Assets (ROA) 0.0 0.1 0.1 0.1 Return on Equity (ROE) 0
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CHAPTER 1: INTRODUCTION 1. Magnetic Abrasive Finishing (MAF) Surface roughness of parts produced by conventional machine tools‚ depends n the machine tool system and the cutting process. It is difficult to produce a smooth surface on complicated profiles at an economic cost by using conventional machining processes. This and the advent of new ‘ difficult-to-machine’ materials like hardened steel‚ nickel‚ cobalt‚ titanium alloys‚ ceramics‚ glass‚ etc.‚ have necessitated the need for
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Chapter 18 Optimization Techniques Winter 2014 Agenda… 1) Functional Relationship 2) Marginal Analysis 3) Concept of a Derivative; Rules of Differentiation 4) The Marginal Cost = Marginal Revenue Rule 5) Constrained Optimization Functional relationships How an Economic Relationship is Expressed? By a Table‚ a Graph‚ or an Equation An Example of Functional Relationships (Table) CHERRY CORPORATION DAILY SALES 150 100 50 0 PER UNIT PRICE 10 20 30 40
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Introduction Selection‚ Optimization‚ and Compensation Model (1%) The selective optimization with compensation model is that a person would select their best abilities that are most important to them and make them the best that they can be and the abilities that they choose to not focus on‚ they choose to let them go (Whitbourne‚ Whitbourne‚ & Konnert‚ 2015). Positive aging is when a person is facing adversity as part of the aging process but is dealing with their own challenges in their own way
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compiler So far we assumed that all the optimizations can be added to some existing tool chain. Sometimes‚ a custom compiler is required‚ but: the effort for building a custom compiler is underestimated. It is not sufficient to design a processor and then think about the compiler later. Try to avoid the design of a full compiler. Approaches: - Modify an existing compiler. - Implement proposed optimizations as pre- or postpass optimization. - Use existing standard software components
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COST OPTIMIZATION FOR WORKFORCE SCHEDULING An Operations Research Report IET4405 Submitted to Gregory Wiles By Group 3: Amanda Bathe Eminue Eminue Danielle Harmon Theophilus Holley Coltan Palmer Abigale Vining April 24‚ 2013 EXECUTIVE SUMMARY This report presents a recommendation for a hiring schedule that would allow Davis Instruments to hire temporary employees based on the product demand that varies from month to month for the six months of January to June‚ at the lowest
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singular configurations of the platform depend on the value of this objective function under consideration‚ if it is zero the configuration is singular. The results thus obtained by different methods namely the genetic algorithm‚ Particle Swarm optimization and variants and simulated annealing are compared with each other. The variable sets considered are the respective desirable platform motions in the form of translation and rotation in six degrees of freedom. This paper hence presents a proper
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Compiler Design UNIT 1 1 What is compiler? Ans:- A compiler is a program that translates human readable source code into computer executable machine code. To do this successfully the human readable code must c omply with the syntax rules of whichever programming language it is written in. The compiler is only a program and cannot fix your programs for you. If you make a mistake‚ you have to correc t the syntax or it won’t compile 2 compare NFA and DFA ? Ans:DFA- single value transition
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Multimedia and Security‚ 2002. [5] J. Fridrich‚ M. Goljan‚ and D. Hogea‚ Steganalysis of jpeg images: Breaking the f5 algorithm‚ Proc. of ACM Workshop on Multimedia and Security 2002‚ 2002. [6] D. E. Goldberg‚ The genetic algorithms in search‚ optimization and machine learning‚ AddisonWesley‚ 1989. [7] C. T. Hsu‚ J. Wu‚ and L. Hidden‚ Digital watermarks in images‚ IEEE Trans. Image Processing‚ pp. 58-68‚ 1999. [8] H. C. Huang‚ C. M. Chu‚ and J. S. Pan‚ The optimized copyright protection system with
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18th European Symposium on Computer Aided Process Engineering – ESCAPE 18 Bertrand Braunschweig and Xavier Joulia (Editors) © 2008 Elsevier B.V./Ltd. All rights reserved. Optimization of Preventive Maintenance Scheduling in Processing Plants DuyQuang Nguyen and Miguel Bagajewicz The University of Oklahoma‚ R. T-335 SEC‚ 100 E. Boyd‚ Norman‚ OK 73019‚ USA Abstract A new methodology designed to optimize both the planning of preventive maintenance and the amount of resources needed to perform
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