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Coca-Cola and its new experience-led marketing strategy

As the competition intensifies among brands in the soft drinks market, companies should innovate and differentiate themselves by offering consumer-centric experiences that give their target audiences a compelling reason to purchase the brand and recommend it to others. Coca-Cola places the customer experience at the heart of its marketing and communication strategy by creating an emotional link between the brand and the customer via engaging and creative online and offline campaigns. They convey a strong brand identity to the point where customers no longer just buy soft drinks; they buy a drink experience that gives them a better version of their real lives.

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Supposedly a college program consists of two courses – Calculus and Algebra. Each hour of Calculus contains of 5 minutes of listening to lecture, 12 minutes of doing handwritten exercise, and 36 minutes of doing computer work (only these 3 activities are considered). Each hour of Algebra contains 20 minutes of listening to lecture, 10 minutes of doing handwritten exercise, and 6 minutes of doing computer work (only these 3 activities are considered). During that entire program, it is required to have at least 10 hours of listening to lecture, at least 13 hours of doing handwritten exercise, and at least 15 hours of doing computer work. To teach one hour of Calculus, the instructor needs 8 minutes to prepare the lesson; whereas to teach one hour of Algebra, the instructor needs 11 minutes to prepare the lesson. Determine the duration of teaching Calculus and Algebra by the instructor so that the time taken for preparation is minimum. Also compute such minimum time for preparation

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EZ-Windows, Inc., manufactures replacement windows for the home remodeling business. In January, the company produced 15,000 windows and ended the month with 9,000 windows in inventory. EZ-Windows’ management team would like to develop a production schedule for the next three months. A smooth production schedule is obviously desirable because it maintains the current workforce and provides a similar month-to-month operation. However, given the sales forecasts, the production capacities, and the storage capabilities as shown, the management team does not think a smooth production schedule with the same production quantity each month possible. February March April Sales forecast 15,000 16,500 20,000 Production capacity 14,000 14,000 18,000 Storage capacity 6,000 6,000 6,000 The company’s cost accounting department estimates that increasing production by one window from one month to the next will increase total costs by $1.00 for each unit increase in the production level. In addition, decreasing production by one unit from one month the next will increase total costs by $0.65 for each unit decrease in the production level. Ignoring production and inventory carrying costs, formulate a linear programming model that will minimize the cost of changing production levels while still satisfying the monthly sales forecasts. (Let F = number of windows manufactured in February, M = number of windows manufactured in March, A = number of windows manufactured in April, 1= increase in production level necessary during month 1, 12 = increase in production level necessary during month 2, 13 = increase in production level necessary during month 3, D = decrease in production level necessary during month 1, D2 = decrease in production level necessary during month 2, D3 = decrease in production level necessary during mont 3, 5, = ending inventory in month 1, s2 = ending inventory in month 2, and s3 = ending inventory in month 3.) Min s.t. February Demand March Demand April Demand Change in February Production Change in March Production Change in April Production April Demand Change in February Production Change in March Production Change in April Production February Production Capacity March Production Capacity April Production Capacity February Storage Capacity March Storage Capacity April Storage Capacity Find the optimal solution. (F, M, A, 11, 12, 13, D1, D2, D3, S1, 52, 53) = 1) Cost = $

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A national publication reported that a university student living away from home spends, on average, no more than €15 per month on coffee. You believe this figure is too low and want to disprove the claim. To conduct the test, you randomly select 17 university students and ask them to keep track of the amount of money they spend during a given month on coffee. The sample produces an average expenditure on coffee of €19.34, with a population standard deviation of €4.52. Use these sample data to conduct the hypothesis test. Assume you are willing to take a 10% risk of making a Type I error and that spending on coffee per month is normally distributed in the population.

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