SEMESTER 3 INDIAN INSTITUTE OF MANAGEMENTAND ENGINEERING CORPORATE LAWS $ SECRETARIAL PRACTICE PART 1 MARKS 80 Attempt any Four Q1 (A) How are the first directors of the company appointed? (B) What is the notice period required for a board meeting? Q2 (A) Can a company appoint managing director and manager simultaneously? (B) Is company allowed to appoint a part-time secretary instead of a Whole-time Secretary? Q3 (A) Who can fix the remuneration of auditors under
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programming is one of the most frequently and successfully employed Operations Research techniques to managerial and business decisions.’’ Elucidate this statement with some examples. …2… …2… 4. Describe the transporation problem and give its mathematical model. Explain‚ by taking an illustration‚ the North-West Corner Rule‚ the Least Cost Method and the Vogel’s Approximation Method to obtain the initial feasible solution to a transportation problem. Discuss the various methods of finding initial
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Riuniti and six local mills) in a manner that would minimize overall costs‚ while meeting the demand and operating within the capacity constraint of each plant. Given the output of our optimization model‚ we should be outsourcing the spinning of our yarn in this way: Sensitivity Analysis for Linear Optimization model: Keep in mind that this model is sensitive to changes in each constraint‚ and there are ways that we can reduce our costs in the long run. We took into account several specific
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Sales Force Optimization: A Self Assessment Glen S. Petersen Copyright 2011‚ All Rights Reserved Page 1 Sales Force Optimization: A Self Assessment Table of Contents Chapter 1 Introduction................................................................................................................ 3 Chapter 2 Sales Force Optimization........................................................................................... 5 Chapter 3 Trends That Impact Sales Force Performance
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Neural Network For Optimization An artificial neural network is an information or signal processing system composed of a large number of simple processing elements‚ called artificial neurons or simply nodes‚ which are interconnected by direct links called connections and which cooperate to perform parallel distributed processing in order to solve a desired computational task. The potential benefits of neural networks extend beyond the high computation rates provided by massive parallelism. The neural
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1 Mathematical Modeling 10:51:09 PM Part one : Approximation and Errors Specific Study Objectives • Recognize the difference between analytical and numerical solutions. • Recognize the distinction between truncation and round-off errors. • Understand the concepts of significant figures‚ accuracy‚ and precision. • Recognize the difference between true relative error t‚ approximate relative error a‚ and acceptable s error 10:51:09 PM Chapter 1: Mathematical Modeling Mathematical Model
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BLENDING OR/MS‚ JUDGEMENT‚ AND GIS: RESTRUCTURING THE P&G’S SUPPLY CHAIN Presented by Assel Gubaidullina and Carolina Argenté The case study analyzes in great details how by utilizing integer programming and network optimization worked in concert with Geographical Information System (GIS) to re-engineering product sourcing and distribution system for North America. Procter & Gamble is the biggest company in “Fast Moving Consumer Goods”. The company produces 300 brands worldwide in 140
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development of 21st-century airports. fourth ed. Wiley; 2011. [21] Dorndorf U‚ Drexl A‚ Nikulin Y‚ Pesch E. Flight gate scheduling: state-of-theart and recent developments. Omega 2007;35(3):326–34. [22] Agustina D‚ Lee CKM‚ Piplani R. A review: mathematical models for cross dock planning. International Journal of Engineering Business Management 2010;2(2):47–54. [23] Li Z‚ Low MYH‚ Lim YG‚ Ma B. Optimal decision-making on product ranking for crossdocking/warehousing operations. In: Proceedings of the
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Identify the choice that best completes the statement or answers the question. __B__ 1. What are the three common elements of an optimization problem? a.|objectives‚ resources‚ goals.| b.|decisions‚ constraints‚ an objective.| c.|decision variables‚ profit levels‚ costs.| d.|decisions‚ resource requirements‚ a profit function.| ___A_ 2. What is the goal in optimization? a.|Find the best decision variable values that satisfy all constraints.| b.|Find the values of the decision variables that use
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heterogeneity. Results show that GA SEARCH outperformed the best current algorithm when choice set size varied at the individual level‚ an important source of consumer heterogeneity that has been ignored in current algorithms formulated to solve this optimization problem. Ó 2003 Elsevier Science B.V. All rights reserved. Keywords: Genetic algorithms; Marketing; Product positioning 1. Introduction For the brand manager‚ optimizing a new productÕs positioning is a critical and difficult decision. Addressing
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