BUSINESS MANAGEMENT MARKS: 80 COURSE: EMBA Sem-II SUBJECT: Operation Management Name: Munin Krishna Das Reference Number: KH00610-10427 Note:- 1) Kindly write case study number question number properly 2) Attached question papers with answer sheets ____________________________________________________________ _________________ SECTION A Case – 1 Marks-15 On the night of Feb 28th‚ the last day of classes‚ Nilesh proposed to Geeta‚ his MBA classmate of nearly a year and a half. Geeta agreed immediately
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Introduction to Case Study by Winston Tellis+ The Qualitative Report‚ Volume 3‚ Number 2‚ July‚ 1997 (http://www.nova.edu/ssss/QR/QR3-2/tellis1.html) -------------------------------------------------------------------------------- Abstract This paper is the first of a series of three articles relating to a case study conducted at Fairfield University to assess aspects of the rapid introduction of Information Technology at the institution. This article deals with the nature of the problem
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PROBLEMS Carter Corporation’s sales are expected to increase from $5 million in 2006 to $6 million in 2007 or by 20 percent. Its assets totaled $3 million at the end of 2006. Carter is at full capacity‚ so its assets must grow at the same rate as projected sales. At the end of 2006‚ current liabilities were $1 million‚ consisting of $250‚000 of accounts payable‚ $500‚000 of notes payable‚ and $250‚000 of accruals. The after-tax profit margin is forecasted
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Six Rules of Effective Forecasting Q1: Write a summary about the six rules of effective forecasting? Paul Saffo is the author of the article of six rules for effective forecasting. He points out that effective forecasting is very different from accurate forecasting as it is possible that a forecast is effective but it may or may not be accurate. Accurate forecasting entails being unsure of the situation and one should not race to answers. Effective forecasting on the other hand means looking at
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SPEECH BY MR THARMAN SHANMUGARATNAM‚ MINISTER FOR EDUCATION‚ AT DEEPAVALI LIGHT UP SWITCH-ON CEREMONY ON FRIDAY‚ 15 OCTOBER 2004‚ AT 7.00 PM Mr Heng Chee How‚ Minister of State‚ Ministry of Trade and Industry‚ and Mayor‚ Central Singapore CDC Mr Lim Neo Chian‚ Deputy Chairman and Chief Executive‚ Singapore Tourism Board Mr V R Nathan‚ Chairman‚ Hindu Endowments Board Dr Uma Rajan‚ Adviser‚ Little India Shopkeepers & Heritage Association Distinguished Guests Ladies and Gentlemen
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9/25/12 Chapter 5 Mini-case MIS-589-19217 Armando Gomez II. Central University Suppose you are the network manager for Central University‚ a medium-size university with 13‚000 students. The university has 10 separate colleges (e.g.‚ business‚ arts‚ journalism)‚ 3 of which are relatively large (300 faculty and staff members‚ 2‚000 students‚ and 3 buildings) and 7 of which are relatively small (200 faculty and staff‚ 1‚000 students‚ and 1 building). In addition‚ there are another 2‚000 staff members
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Appropriate Forecasting Model Forecasting is done by monitoring changes that occur over time and projecting into the future. Forecasting is commonly used in both the for-profit and not-for-profit sectors of the economy. There are two common approaches to forecasting: qualitative and quantitative. Qualitative forecasting methods are especially important when historical data are unavailable. Qualitative forecasting methods are considered to be highly subjective and judgmental. Quantitative forecasting methods
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1. Forecasting of non-standardized products: Forecasting is the process of Estimating future demand for planning purposes. Forecasting is classified into two main categories‚ namely‚ qualitative and quantitative forecasting. In forecasting nonstandardized products‚ qualitative methods are used. But I am going to give a brief explanation about the quantitative methods. 1.1 Quantitative Methods: 1.1.1 Stationary Series Methods: Moving Averages Method: Moving average of order N is the arithmetic
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IN AN ORGANISATION (Case study of Nigeria Airspace Management Agency (NAMA) BY ADEWONISE Sesan Adeyinka Matric No: 071001052 BEING A RESEARCH PROJECT SUBMITTED TO THE DEPARTMENT OF ACCOUNTING‚ DISTANCE LEARNING INSTITUTE‚ UNIVERSITY OF LAGOS‚ IN PARTIAL FULFILLMENT OF THE REQUIREMENT FOR THE AWARD OF BACHELOR OF SCIENCE (B.SC) DEGREE IN ACCOUNTING OCTOBER‚ 2012 CERTIFICATION This is to certify that this study was undertaken by ADEWONISE
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Using examples‚ compare and contrast: urban air quality issues affecting regions in Europe and Asia. Introduction: Air Pollution is a growing problem (Elsom‚ intro) To highlight large disparities in urban air quality problems‚ focus on developed countries like UK with long history in research and policy vs developing countries still in the process of industrialization. Comparisons to show that due to different sources‚ different stage of development and economic structure‚ different effects
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