...entrants For bottling companies, the threat of new players, i.e. new bottlers entering the market was low. This was primarily because of the prohibitively high fixed costs involved. The cost of setting up an efficient large plant with four lines, automated warehousing, and a capacity of 40 million cases was $75 million in 1998. Moreover, among the top bottlers in 1998, the variable costs included packaging (roughly half of the cost of goods sold), concentrate (one-third), nutritive sweeteners (one-tenth), and the remaining variable cost was labor. Apart from this, bottlers had to invest capital in distribution networks and trucks. As a result of these cost structures, bottlers operated on razor thin margins. Another barrier to entry for new entrants was that the established brands had gone on to create their own independent bottling subsidiaries (e.g. CCE and PBG). As these subsidiaries were handling the major share of volumes for Coke and Pepsi respectively, it became increasingly difficult for new bottlers to enter into exclusive contracts with established brands. For bottlers, due to the capital intensive nature of bottling industry, it was important to enter in contracts with brands that will utilize capacities fully. In the case of Coke and Pepsi, their incumbent bottlers were acquired by the giants to form their own independent bottling subsidiaries, therefore creating even greater barrier to entry for new players. Threat of substitutes For bottling companies, substitutes...
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...DESIGN AND DEVELOPMENT OF TRANSPARENT MANUFACTURING FACILITY OF COCA-COLA BOTTLING CO. CONSOLIDATED IN CHARLOTTE, NORTH CAROLINA Final Report Presented by TEAM G Abilash Patni Diana Montoya Hemant Chidrula Matthew Elliot Sandeep Singh Varunprasad Natu EMGT 6901 Advanced Project Management Fall 2015 Systems Engineering and Engineering Management Department The University of North Carolina, Charlotte * ACKNOWLEDGEMENT Completion of this project would not have been possible without the kind support and help of many individuals and organizations. Our team would like to extend my sincere thanks to all of them, especially the following groups and departments from Coca-Cola for their support and cooperation to make this project a success: Maintenance, Production, Materials, Marketing, Customer Relations, and Quality. Without their willingness to help in the planning and construction of the renovation of the Charlotte facility, success would not have been possible. ABSTRACT veloping, upgrading/converting the current practices and bottling facility into “glass” where everyone will be able to see through. Charlotte, NC home of the first Bottling Company for Coca-Cola, places #57 in the top places that drink most soda nationwide [7], home of the Hornets, Carolina Panthers, and Motor Speedway, with a population of close to 800,000 makes it the 17th largest city in the US based on population, and the perfect home for another attraction: A renovated transparent...
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...MGT 100 PRINCIPLES OF MANAGEMENT Mohamet Ndiaye: Hello, my name is Mohamet Ndiaye. I am one of your employees and I am here to interview you for a paper that I have to write for my management class .What is your name and position in this company? Manager: My name is Kathy Goatskin and I am the laboratory administrator. Me: How long have you been a manager? Kathy: I have been a manager for about fifteen years Me: Tell me about your managerial experience and what type of business do you work for. Kathy: I have worked for Mayo in Minnesota as a manager for three years and then I received this job offer in 2005 to be a Laboratory manager for Elmhurst Memorial Hospital. I have been doing this job for five years with this company. Elmhurst is a community hospital and has three hundreds beds. The hospital has two thousands employees. Me: We have learned the functions of the managers in theory. Is it what managers do in real life? And what is your role within this organization? Kathy: Sincerely I do a lot and various things. I control everything that the employees do and make sure that things are going the way they are supposed to. I motivate the employees by involving them in the decisions making. I inform the employees so that they feel concerned and involved. I communicate with the employees and I listen to them. I tell my employees all the information necessary so that they can have their jobs done in the best possible way. Me: I see that you have a lot to do. ...
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...Bottling Company Case Study TaNeesh Williams Derrick Barbee MAT 300-Statistics March 14, 2015 Bottling Company Case Study Imagine you are a manager at a major bottling company. Customers have begun to complain that the bottles of the brand of soda produced in your company contain less than the advertised sixteen (16) ounces of product. Your boss wants to solve the problem at hand and has asked you to investigate. You have your employees pull thirty (30) bottles off the line at random from all the shifts at the bottling plant. You ask your employees to measure the amount of soda there is in each bottle. Bottle Number | Ounces | Bottle Number | Ounces | Bottle Number | Ounces | 1 | 14.5 | 11 | 15 | 21 | 14.1 | 2 | 14.6 | 12 | 15.1 | 22 | 14.2 | 3 | 14.7 | 13 | 15 | 23 | 14 | 4 | 14.8 | 14 | 14.4 | 24 | 14.9 | 5 | 14.9 | 15 | 15.8 | 25 | 14.7 | 6 | 15.3 | 16 | 14 | 26 | 14.5 | 7 | 14.9 | 17 | 16 | 27 | 14.6 | 8 | 15.5 | 18 | 16.1 | 28 | 14.8 | 9 | 14.8 | 19 | 15.8 | 29 | 14.8 | 10 | 15.2 | 20 | 14.5 | 30 | 14.6 | Calculate the mean, median, and standard deviation for ounces in the bottles. The mean and median are measures of tendency which are also called measures of average. The mean is found by adding the values of the data and dividing by the total number of values. The median is the halfway point in a data set and found by arranging the date in order (Bluman, 2013, p 113-117)....
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...Bubble Drops Bottling Company MAT 300/Statistics Strayer University March 4, 2014 Introduction In this paper I will try to investigate at certain problem that I am having at Bubble Drops Bottling Company. Our customers that are loyal to Bubble Drops Bottling Company have been complaining about the fact in which they believe that are brand of sodas contain less than 16 ounces in them. During the course of my investigation I will calculate several different things. I will calculate the mean, median, and standard deviation for the random bottles of sodas that were picked to checked. I will then construct a 95% Confidence Interval for the ounces in the bottles. I will conduct a hypothesis test to verify my claim that each bottle contains less than the 16 ounces. Finally I will discussion my conclusion on my random test of these bottles. Calculations The most common in measures are the mean, medium, and standard deviation (n.a., 2014). The mean is calculated by adding all the numbers up and dividing them by the total average. While the median is calculating the middle value of the set. Then you have the standard deviation which is the measure of how the data points are spread out among then. Below you will find the mean, median, standard deviation calculations: Mean: I will add all the numbers below and divide by 30 to get the mean: 14.5+14.6+14.7+14.8+14.9+15.3+14.9+15.5+14.8+15.2+15+15.1+15+14.4+15.8+14+16+16.1+15.8+14.5+14.1+14.2+14+14.9+14.7+14.5+14.6+14.8+14...
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...Nurrific Water Bottling Company Tamikia Washington Argosy University Table of Contents Introduction to Marketing 6 MARKETING 6 The Marketing Mix 6 PRICE 6 PRODUCT 7 PLACE 7 PROMOTION 7 The Marketing Environment 7 Marketing and its relationship with other functional areas of business 8 RESEARCH AND DEVELOPMENT 8 Human Resource 8 Customer service 9 Planning 9 Goals and Objectives 9 Planning Gap 9 Ethics in Marketing 10 Market Research 10 Research methods & Data Mining 10 Market Research Process 11 Consumer Behavior 11 B2C vs. B2B 11 Marketing to B2B 11 Marketing to B2C 11 Consumer Decision Making Process 12 Factors Affecting B2C and B2B consumer behavior 12 Market Segmentation 12 Market Segmentation Concepts 12 Behavioral 12 Demographic 12 Geographic 12 PRODUCT 13 o Core product 13 o Actual product 13 o Augmented product 13 Product life cycle 13 o Introduction Stage 13 o Growth Stage 13 o Maturity Stage 13 o Decline Stage 14 BSC model 14 Services Marketing 14 Price determination and Pricing Strategies 14 Supply 14 Demand 15 Competition 15 Objectives and Strategies 15 o Price skimming 15 o Price penetration 15 Distribution channel 16 Logistical arm 16 Marketing arm 17 Length and width 17 Direct and indirect 17 o Direct channels 17 o Indirect channel 17 Verbal & Horizontal channel conflict 17 Verbal channel 17 Horizontal...
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...| The Bottling Company Case Study | MAT300 (Statistics)Professor Pamela Self | | | 9/7/2014 | | Abstract In my research I find the mean, median, and standard deviations. These are simple calculations that can be done in Excel as long as you have the correct information. I was given the ounces of thirty bottles and had to find out whether the bottling companies were putting less than the advertised amount of liquid into the bottles. I believe the companies were putting enough in there but my results showed different. In my assignment, I had to find the mean, median, standard deviation, and confidence interval. I have inserted a spreadsheet to show my calculations. To find the mean I took the sum of ounces for all thirty bottles that were given (=average(B3:B32). To find the median I used the formula in Excel which is: =MEDIAN(B3:B32). To find the standard deviation, I used the formula in Excel as well which is: =STDEVA(B3:B32). The 95% confidence interval is +1.96 and -1.96. I took each bottle and added and subtracted the standard deviation from it to get my results. Majority of the bottles fell within the 95% confidence interval of 14.67 and 15.07. From my results, I was able to create a hypothesis that the claim of bottling companies are putting less than sixteen ounces in the bottle to be true. There can be many reasons the bottles are coming with less than sixteen ounces in them. One reason could be the types of machines that are being used are not set...
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...Assignment 1: Bottling Company Case Study Due Week 10 and worth 140 points Imagine you are a manager at a major bottling company. Customers have begun to complain that the bottles of the brand of soda produced in your company contain less than the advertised sixteen (16) ounces of product. Your boss wants to solve the problem at hand and has asked you to investigate. You have your employees pull thirty (30) bottles off the line at random from all the shifts at the bottling plant. You ask your employees to measure the amount of soda there is in each bottle. Note: Use the data set provided by your instructor to complete this assignment. NOTE: The Excel workbook containing the above data can be downloaded from here: MAT300_Assignment 1_Data.xlsx In a Word document, write a two to three (2-3) page report in which you: Calculate the mean, median, and standard deviation for ounces in the bottles. Round your final results to 3 significant places after the decimal. Construct a 95% Confidence Interval for the ounces in the bottles. Round your final results to 3 significant places after the decimal. Conduct a hypothesis test to verify if the claim that a bottle contains less than sixteen (16) ounces is supported. Use 0.02 as the level of significance. Clearly state the logic of your test, the calculations, and the conclusion of your test. Note that for performing a hypothesis testing, the following quantities have to be calculated: (a) The sampling error...
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...Bottling Company Case Study Jason Otterbach Instructor: Agata Corobana Strayer University June 8, 2014 Imagine you are a manager at a major bottling company. Customers have begun to complain that the bottles of the brand of soda produced in your company contain less than the advertised sixteen (16) ounces of product. Your boss wants to solve the problem at hand and has asked you to investigate. You have your employees pull thirty (30) bottles off the line at random from all the shifts at the bottling plant. You ask your employees to measure the amount of soda there is in each bottle. A Confidence interval is a term used in inferential statistics that measures the probability that a population or sample parameter will be fall between two set values. The confidence interval can take any number of probabilities, with the most common being 95% or 99% (Investopedia.com, n.d.). To find the 95% confidence interval for the ounces in the bottles, we need to find the margin of error E. E =Z_C*(Ó/√(n) 446.1 / 30 = 14.87 x̄ = 14.87 n= 30 σ = 0.5503 E = (14.87 + 14.87) / 2 = 14.8 The 95% confidence interval for the ounces in the bottles can be written as x̄ ±E = 14.87- 0.2 and 14.87 + 0.2 = 14.67 ~ 15.07 In conclusion, with 95% confidence, the mean of the ounces in the bottles is between 14.67 ~ 15.07 ounces. A statistical hypothesis is a statement about the distribution of the data variable X. Equivalently, a statistical hypothesis specifies a set of possible...
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...Assignment 1: Bottling Company Case Study Due Week 10 and worth 140 points Imagine you are a manager at a major bottling company. Customers have begun to complain that the bottles of the brand of soda produced in your company contain less than the advertised sixteen (16) ounces of product. Your boss wants to solve the problem at hand and has asked you to investigate. You have your employees pull thirty (30) bottles off the line at random from all the shifts at the bottling plant. You ask your employees to measure the amount of soda there is in each bottle. Note: Use the data set provided by your instructor to complete this assignment. Bottle Number Ounces Bottle Number Ounces Bottle Number Ounces 1 14.23 11 15.77 21 16.23 2 14.32 12 15.80 22 16.25 3 14.98 13 15.82 23 16.31 4 15.00 14 15.87 24 16.32 5 15.11 15 15.98 25 16.34 6 15.21 16 16.00 26 16.46 7 15.42 17 16.02 27 16.47 8 15.47 18 16.05 28 16.51 9 15.65 19 16.21 29 16.91 10 15.74 20 16.21 30 16.96 Write a two to three (2-3) page report in which you: 1 Calculate the mean, median, and standard deviation for ounces in the bottles. 2 Construct a 95% Confidence Interval for the ounces in the bottles. 3 Conduct a hypothesis test to verify if the claim that a bottle contains less than sixteen (16) ounces is supported. Clearly state the logic of your test, the calculations, and the conclusion of your test. 4 Provide the following discussion based on the conclusion of your test: a. If you conclude that...
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...Students, please view the "Submit a Clickable Rubric Assignment" in the Student Center. Instructors, training on how to grade is within the Instructor Center. Assignment 1: Bottling Company Case Study Due Week 10 and worth 140 points Imagine you are a manager at a major bottling company. Customers have begun to complain that the bottles of the brand of soda produced in your company contain less than the advertised sixteen (16) ounces of product. Your boss wants to solve the problem at hand and has asked you to investigate. You have your employees pull thirty (30) bottles off the line at random from all the shifts at the bottling plant. You ask your employees to measure the amount of soda there is in each bottle. Note: Use the data set provided by your instructor to complete this assignment. Bottle Number | Ounces | Bottle Number | Ounces | Bottle Number | Ounces | 1 | 14.5 | 11 | 15 | 21 | 14.1 | 2 | 14.6 | 12 | 15.1 | 22 | 14.2 | 3 | 14.7 | 13 | 15 | 23 | 14 | 4 | 14.8 | 14 | 14.4 | 24 | 14.9 | 5 | 14.9 | 15 | 15.8 | 25 | 14.7 | 6 | 15.3 | 16 | 14 | 26 | 14.5 | 7 | 14.9 | 17 | 16 | 27 | 14.6 | 8 | 15.5 | 18 | 16.1 | 28 | 14.8 | 9 | 14.8 | 19 | 15.8 | 29 | 14.8 | 10 | 15.2 | 20 | 14.5 | 30 | 14.6 | Write a two to three (2-3) page report in which you: 1. Calculate the mean, median, and standard deviation for ounces in the bottles. 2. Construct a 95% Confidence Interval for the ounces in the bottles. 3. Conduct a hypothesis test to verify...
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...Soda company | Bottling Company Case Study | Dr. Gregory Wright | | Michael Painter | 12/10/2015 | Statistics | Bottling Company Case Study Customer satisfaction is important to any business that is in business to please their customers who buy their products. That is no different than where I’m at as a manager of a bottling company. I want to make my customers happy and there have been complaints that our sodas are not meeting the labeled size of sixteen ounces. Customers are saying that there are less than sixteen ounces in our bottle. I plan to perform tests to see if we really do having a problem and if we do we need to correct the issue. For use to determine what is going on we collected a sample of bottles from all shifts at the plant for a total of 30 bottles. We calculated the amount of liquid in ounces of each bottle and recorded our date. We determined from the data gathered that out mean is 15.85 ounces, the mode was 16.21 ounces and the median was 15.99 ounces. From the data gathered we were then able to determine the standard deviation of the thirty bottles which was 0.66138 ounces. This information will allow us to see what our average is with the mean and from our average we are below the promised 16 ounces we promote. Then we look at our mode and it shows that our most commonly seen number is 16.21 ounces which tells our team that we have several bottles that are over 16 ounces. Once we achieve those numbers we construct a 95 percent confidence...
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...Bottling Company Case Study Imagine you are a manager at a major bottling company. Customers have begun to complain that the bottles of the brand of soda produced in your company contain less than the advertised sixteen (16) ounces of product. Your boss wants to solve the problem at hand and has asked you to investigate. You have your employees pull thirty (30) bottles off the line at random from all the shifts at the bottling plant. You ask your employees to measure the amount of soda there is in each bottle. Note: Use the data set provided by your instructor to complete this assignment. Bottle Number Ounces Bottle Number Ounces Bottle Number Ounces 1 14 11 14.6 21 15 2 14 12 14.7 22 15 3 14.1 13 14.7 23 15.1 4 14.2 14 14.8 24 15.2 5 14.4 15 14.8 25 15.3 6 14.5 16 14.8 26 15.5 7 14.5 17 14.8 27 15.8 8 14.5 18 14.9 28 15.8 9 14.6 19 14.9 29 16 10 14.6 20 14.9 30 16.1 Calculate the mean, median, and standard deviation for ounces in the bottles. According to Larson and Farber, 2009, the mean of a data set is the sum of the data entries divided by the number entries. To find the mean of the sample data set the formula must be used: Sample mean x̄ = (∑x)/N = 446.1/30= 14.87 According to Larson and Farber, 2009, the median of a data set is the value that lie in the middle of the data when the data set is ordered. The given numbers in the table are in order, there are thirty entries (an even number). The median is the mean of the two middle entries. Median...
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...Religion | Origin of All Things | Nature of God | View of Human Nature | View of Good and Evil | View of “Salvation” | View of After Life | Practices and Rituals | Celebrations and Festivals | Week 2Hinduism and Jainism | Hinduism 8000-6000BCE.The name itself is questionable. It was possible a creation of the foreigners. This is the world’s oldest known religion.Jainism is the ideal of Mahaviar inc.2500BCE. but perfected by the kings son Bahubali. | I think that the Hindu has a supreme God but also thinks that man can achieve that state. They believe in deities also Shaivities,Vaishnavies.About fifty million Hindus worship a form of a goddess(Shaktas) and others. They also look at animals as sacred. The supreme God that they believe in is called Brahama.Jainism does not appear to have a God because this would mean feelings and caring.They see all things as being sacred and worthy to be praised. | Hinduism takes it view of Human Nature from a dualistic system, Advaita and Vedanta.They believed in a caste system that you would be born into and your actions allowed you to go higher and achieve more in after life. They believe that the individual is responsible for the problems in life.Karma was the reason for most sufferingJainism seems to rely mostly on Karma. | The Hindu view of good and evil was once in a religious text called the Code of Manu, 100-300 CE. This book much like the bible contained laws governing the proper conduct of rulers marriage laws, and dietary restrictions...
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...Fundamental of Effective Communication in the Workplace Karen Alesia Powell Strayer University BUS100 Professor Doris Martin August 3, 2014 Abstract Communication is the key to a successful business or professional career. The use of effective communication is one the most important skills that I recommend for all people working in a professional position to acquire and perfect. But this skill is not easy for everyone, it can be a challenge for many even the most talented people. (Kelly, McGowen, William, 2014, Pg.125) Fundamental of Effective Communication in the Workplace Communication is imperative to achieve the goals of those who in work the law profession. Criminal justice, criminology and law enforcement workers must be able to articulate their actions and reasoning to the public in order to maintain their support. Without the ability to communicate effectively the details of the event may be seen as a public misconception. Criminologists and Investigators must be able to present their research and findings in a coherent manner to persuade the case and apprehend the subject or subjects. Three Reasons and Results How Communication is Effective The first communication skills is understanding the cultural orientation including diverse age, cultural, economic, ethnic and religious groups. With the understanding of many cultures, many businesses hire personnel with multiple languages skills. This helps the language barrier and comprehension of what being...
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