MIT School of Business (MITSOB) Post Graduate Diploma in Management (PGDM) Backlog (April 2014) Semester II Term End Examination Subject: Operations Research (203) Total Marks: 50 Duration: 2½ Hrs. Instructions: 1) Formulate the problems in the answer sheet. 2) Students should write the steps and formulae used in the cells along with the final answer, in the answer sheet so that examiner will be able to evaluate the answers. 3) No marks will
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home game always corresponds with a local festival that always draws from attendance (italics). Summary of Forecasting Methods: Below is a table of the forecasting methods. The correlation coefficient, bias, mean absolute deviation (MAD), mean squared error (MSE), and mean absolute percent error (MAPE) are shown. | Correlation | Bias | MAD | MSE | MAPE | Naïve | -- | 541.38 | 6865.52 | 69,856,200 | .19 | Moving Average (3 periods) |
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Nursing Assessment & Diagnosis | Planning & patient centered goals | Nursing Interventions | Scientific Rationale | Evaluation | 1) Diagnosis: Excess fluid volume r/t decreased urinary output Assessment: B.K is an 88 year-old female presented with acute renal failure with urinary retention. Patient was admitted into Lehigh Regional on July 5th, 2013.Previous history: Diabetes, HTN, UTI, skin cancer, TIA. Subjective: Patient states, “I feel a bit fatigued in the evenings. My doctor said
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home game always corresponds with a local festival that always draws from attendance (italics). Summary of Forecasting Methods: Below is a table of the forecasting methods. The correlation coefficient, bias, mean absolute deviation (MAD), mean squared error (MSE), and mean absolute percent error (MAPE) are shown. | Correlation | Bias | MAD | MSE | MAPE | Naïve | -- | 541.38 | 6865.52 | 69,856,200 | .19 | Moving Average (3 periods) |
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MEASURING FORECASTING ERROR (The students are advised to refer to the book under reference for details.) Because quantitative forecasting techniques frequently involve time series data, a mathematical notation is developed to refer to each specific time period. The letter Y will be used to denote a time series variable unless there is more than one variable involved. The time period associated with an observation is shown as a subscript. Thus Y1 refers to the value of the time series at time
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still follow the strict diet? This article gave me some answers and some insight to my questions. This study of the effects of a neutropenic diet in outpatients was geared toward patients who had neutropenia, the study defines neutropenia as an “absolute neutrophil count (ANC) of less than 1,000/mm3” (DeMille, 2006). The study criteria required patients who were between the ages of 18 to 70 years old who would be starting their first chemotherapy session in an outpatient chemotherapy clinic. In
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European Medicines Agency Evaluation of Medicines for Human Use Doc.Ref:EMEA/501324/2008 ASSESSMENT REPORT FOR FILGRASTIM RATIOPHARM International Nonproprietary Name: filgrastim Procedure No. EMEA/H/C/824 Assessment Report as adopted by the CHMP with all information of a commercially confidential nature deleted. 7 Westferry Circus, Canary Wharf, London E14 4HB, UK Tel. (44-20) 74 18 84 00 Fax (44-20) 74 18 84 16 E-mail: mail@emea.europa.eu http://www.emea.europa.eu © European Medicines
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Information Sharing in Supply Chains: An Empirical and Theoretical Valuation Ruomeng Cui, Gad Allon, Achal Bassamboo, Jan A. Van Mieghem* Kellogg School of Management, Northwestern University, Evanston, IL April 10, 2013 We provide an empirical and theoretical assessment of the value of information sharing in a two-stage supply chain. The value of downstream sales information to the upstream firm stems from improving upstream order fulfillment forecast accuracy. Such improvement can lead to lower
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evaluation. The selection of the most suitable model was indicated by the smallest value of mean square error (MSE) and Mean Absolute Percentage Error (MAPE.) Based on the analysis, Holt’s Method Model is the most suitable model for forecasting electricity consumption since it has the smallest value of MSE and MAPE. Keywords: Univariate Modelling Techniques; Forecast Model; Mean Absolute Percentage Error; Mean Square Error. Introduction Electricity is one of the most important and used form of energy
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optimistic at 53560 against the actual sales of 48159. 2. The Mean Absolute Percentage Error(MAPE) value of total sales of the entire family of pressure valves is around 11.2%, which is reasonably acceptable but the MAPE valves for individual members are very high (reaching up to 1500% for PVB34-420). * Fire Valves: 1. The total sales forecasted were pessimistic at 559 against the actual sales of 580. 2. The Mean Absolute Percentage Error (MAPE) value of total sales of the entire family
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