MKT B370 Operations Management SPECIMEN EXAMINATION PAPER Important Note: This specimen examination paper serves solely as an illustration of the types of questions which may be contained in the examination. Students should not construe these questions as the actual examination questions nor part of the actual examination paper. In addition‚ this specimen examination paper does not purport to represent the complete scope or coverage of the course and the distribution of the topics to be examined
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labor productivity measure. d) Referring to the labor productivity for years 2010 and 2011‚ by how much would it be necessary to increase labor productivity for year 2010 to bring it up to the level of 2011? QUESTION 2 (FORECASTING: DOUBLE EXPONENTIAL SMOOTHING‚ MAD‚ MSE) The manager of the I-85 Carpet outlet needs to be able to forecast accurately the demand for Soft Shag carpet (its biggest seller). If the manager does not order enough carpet from the carpet mill‚ customers will buy their carpets
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know that the size of the ripple voltage is dependent on the method of rectification‚ the values of capacitance and load resistance; describe‚ by drawing graphs‚ the effect of loading on the output waveform of a smoothed rectifier. Capacitive smoothing. In our work on power supplies so far we have determined how to calculate the peak value of the output voltage from an rms value‚ and how to use half-wave and full-wave rectification methods to change a.c. into variable value d.c. The next stage
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Demand Forecasting in the Indian Retail Industry Applied Economics (HS 700) Course Project Report Vijay Gabale (07305004) Ashutosh Dhekne (07305016) Piyush Masrani (07305017) Sumedh Tirodkar (07305020) Tanmay Mande (07305051) March 19‚ 2008 1 Contents 1 Introduction 1.1 Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 Objective . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Challenges Faced in Demand Forecasting 3 Theoretical Framework 3.1 Judgemental
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Identify the strengths and weaknesses of discretionary accruals models to identify earnings manipulation: Discretionary Accrual = non-obligatory expense (such as an anticipated bonus for management) that is yet to be realized but is recorded in the account books. Accrual Accounting = an accounting measure that measures the performance and position of a company by recognizing economic events regardless of when cash transactions occur. The general idea is that economic events are recognized
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a wide range of problems related with facial signs of ageing‚ such as: Plumping thin lips Smoothing and adding volume to the deep creases that occur around nose to mouth‚ these creases are also called as laugh lines or nasolabial folds Smoothing vertical lines around the lips Enlarging cheeks to improve their shape‚ re-establishing fullness Filling out the hollow area under the eyes Smoothing out the scars made from acne or any other illness Enhancing volume to remove gauntness in the cheek
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Tomizawa‚ G.‚ Tatsuta‚ R.‚ and Mieno‚ H. (1993). The max-min Delphi method and fuzzy Delphi method via fuzzy integration. Fuzzy Sets and Systems‚ 55(3)‚ 241-253. Jamshidi‚ H. and Jain‚ A. (2008). Multi-Criteria ABC Inventory Classification: With Exponential Smoothing Weights. Journal of Global Business Issues‚ Winter issue. Kabir‚ G. (2011). Fuzzy AHP for Contractor Evaluation in Project Management-A Case Study. International Journal of Business and Information Technology‚ 1(1)‚ 85-96. Kabir‚ G. and Hasin
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IT433 Data Warehousing and Data Mining — Data Preprocessing — 1 Data Preprocessing • Why preprocess the data? • Descriptive data summarization • Data cleaning • Data integration and transformation • Data reduction • Discretization and concept hierarchy generation • Summary 2 Why Data Preprocessing? • Data in the real world is dirty – incomplete: lacking attribute values‚ lacking certain attributes of interest‚ or containing only aggregate data • e.g.‚ occupation=“ ”
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MgtOp 340 Sample Exam 2 (Fall 2014) Instructions (1) The exam is open book and open notes. You can bring any paper material (such as books‚ notes‚ practice tests‚ homework‚ and etc.) to the test. However‚ you can not use cell phones‚ tablets‚ or computers. (2) In the real test‚ for the multiple choice questions‚ you may need to select the correct option from option A to N. (3) Remember to bring the book “Goal” to the test since there will be three questions asking about the “Goal” (Chapter 16-24)
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IBS Hyderabad Academic Year – 2014-15 Course Handout Course Name: Quantitative Methods Semester: I Faculty Name: Vishal Mishra Room No: 213 Wing: E Consultation Hours: Tuesday 12:20 p.m.-1:35 p.m. (Section D) and Friday 9:30 a.m.-10:45 a.m. (Section J) Mobile No: 9948494348 Email: vmishra@ibsindia.org Course Objective: A Manager is called for to take decisions in organizations. Hence‚ analytical ability and analytical thinking is important for managerial decision making. This course
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