Operations Management is field cares overseeing and design and control of the production process and the redesign of business processes in the production of goods or services. Case Study 1: 1- How each of the 10 decisions of Operations Management is applied at Hard Rock Café. 1. Design of goods and services: This cafe flexible and unique in its products‚ design and design services in the local market. This shows excellence through a combination of traditional and culture of the local population
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Case Study: Forecast Methods Candidate for Master in Information Systems Quantitative Methods – MAT 540 June 21‚ 2009 Forecasting methods are techniques used by manager of many different occupations. They use them to try and predict the outcome of the future. Managers are forced to make very important decisions that will greatly impact the success of their business. Some managers may form their decision based on previous sales or their own past experiences. Forecasting is a more reliable
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Case Study- Louis Vuitton 1 Table of Contents 1. Introduction 2. The company Louis Vuitton 3. Supply Chain Strategy 4. Constraints of the Luxury Industry 4.1. Supply Chain Strategy of Louis Vuitton 5. Process map of buying process 5.Order Qualifiers and Order Winners 5.1. 5.2. Performance Dimensions Trade-off among Performance Dimensions 6. Internal Operation Practices 6.1. Manufacturing Process 6.2. Customization Point 6.3. 6.4. 6.5. 6.6. Service Package and Service Level
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Chapter 1: Supply Chain Management: An Overview I. Forces of Change-Multiple forces of change are requiring organizations to be (a) nimble‚ & (b) responsive to their customers’ needs. 5 major forces are 1) Globalization. (Major issues to deal with include) More competition‚ More volatility/unpredictability in demand & supply‚ Shorter life cycles‚ Systems approach to “sourcing-to-delivery”‚ Potential “terrorism”/security. 2) Technology (primarily computing/info technology‚ Internet). Helped-Organizations
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Quantitative Method- Used when situation is “stable” and historical data exists. Used for existing products and current technology. Involves mathematical techniques. E.G.‚ forecasting sales of color televisions. Naïve approach‚ moving averages‚ exponential smoothing‚ trend projection‚ linear regression. Time Series Forecasting- Set of evenly spaced numerical data. Obtained by observing response variable at regular time periods. Forecast based only on past values‚ no other variables important. Assumes
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FORECASTING AT HARD ROCK CAFÉ* MGMT 6130 Spring Quarter 2014 Contents Questions 1 Describe three forecasting applications at Hard Rock. Name other areas in which you think Hard Rock could use forecasting models. The Hard Rock Café uses forecasting models in a variety of areas. These areas include an earnings forecast‚ human resources forecast‚ and a placement forecast. The earnings forecast are present to set a long-term capacity plan. Hard Rock Cafe
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1. EVPI = Expected value with perfect information – Maximum EMV = EVwPI – Maximum EMV 2. Moving Average [pic] 3. Weighted Moving Average [pic] 4. Exponential Smoothing [pic] 5. Linear Regression [pic] 6. MAD and Tracking Signal(TS) [pic] 7. EOQ [pic] Q*=Optimal number of units per order (EOQ) Q = Number of units per order D = Annual Demand‚ Units H = Holding (or Carrying) Cost‚ $ / unit /year S = Ordering (or Setup) Cost‚ $ /
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August 27‚ 2012 VISK 2010 D Operations Production Management Week 5 Test 4: Chapters 7‚ 9‚ 11‚ 12 and Tosy Robotics Tour 100 Points (10% of final grade) “OM3” text Chapter 7‚ 9‚ 11‚ 12 & Tosy Robotics Factory Tour CIRCLE YOUR CLASS Full Name: Class: VISK2010D VISK2010E VISK2010F Keuka ID Number: Please complete the following ten True/False and Multiple Choice questions by selecting one response for each question (Points for each True/False = 5 points; and each
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Nicole-line breaks mean new slide important questions Forecasts are needed to predict demand all different teams within the company need the forecast different users have different time requirements and detail reqts you might have to collect more data if you don’t have enough cost depends on the scope of the project need to engage the users‚ so have to provide a feedback system The top chart appears to be a ore difficult to forecast but they just narrowed the y axiz 2nd chart down
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Cover Type B TO BE RETURNED AT THE END OF THE EXAMINATION. THIS PAPER MUST NOT BE REMOVED FROM THE EXAM CENTRE. STUDENT NAME: ________________________ STUDENT NUMBER: _______________________ LECTURER’S NAME: ____________________ LECTURE DAY & TIME: _________________ _____________________________________________________________________ MID-SEMESTER EXAM SPRING SEMESTER 2013 SUBJECT NAME : Financial Modelling and Forecasting SUBJECT NO. : 25705 DAY/DATE : Monday
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