...Problems Ch. 12 Problem 2 2. Given the series of demand data below Period 1 2 3 4 5 6 7 8 9 10 Demand 40 33 56 43 23 45 38 40 29 40 a. Calculate the forecast for periods 7 through 11 using moving average models with n=2, n=4, and n=6 b. Calculate the bias and MAD for each set forecasts. Which moving average model is best? Table for n=2 Period Demand Moving Average for n=2 MFE MAD 1 40 2 33 3 56 4 43 5 23 6 45 7 38 34 4 4 8 40 41.5 -1.5 1.50 9 29 39 -10 10.00 10 40 34.5 5.5 5.50 11 34.5 -2 21.00 Period Demand Moving Average for n=4 MFE MAD 1 40 2 33 3 56 4 43 5 23 6 45 7 38 41.75 -3.75 3.75 8 40 37.25 2.75 2.75 9 29 36.5 -7.5 7.5 10 40 38 2 2 11 36.75 -6.5 16 Table for n= 4 Table for n=6 Period Demand Moving average for n=6 MFE MAD 1 40 2 33 3 56 4 43 5 23 6 45 7 38 40 -2 2 8 40 39.67 0.33 0.33 9 29 40.83 -11.83 11.83 10 40 36.33 3.67 3.67 11 35.83 -9.83 17.83 Which moving average model is best? Table for n=2 is the best option because is the one forecast that has the lower % of error Problem 3 3. If last period’s forecast was 27 and the demand was 30, what was the forecast error? What would be forecast for the next period using an exponential smoothing model with alpha=.5? Dt -Ft = Forecast error Dt=30 Ft=27 Forecast error=30-27= 3 Ft+1 = α dt + (1- α) Ft Ft+1 = (.5) (30) + (1-.5) 27 Ft+1 = 15+...
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...Sonja A. Soehnel, J.D, Liability of operator of grocery store to invitee slipping on spilled liquid or semiliquid substance, 24 A.L.R 4th 696 (1983) § 19[a] No observation of spill by invitee—Contributory negligence In the following cases there was no evidence that the stores were aware of the spillages before the accident occurred thus the court’s held that the customer’s contributory negligence was established. In Romeo v Jumbo Market (1967, 5th Dist) 247 Cal App 2d 817, 56 Cal Rptr 26, the court found in favour of the store when the defendant slipped and fell on a bottle of broken cheeries whilst not paying attend to where she was walking. There was substantial evidence to find contributory negligence on behalf of the customer. In Munoz v Applebaum's Food Market, Inc. (1972) 293 Minn 433, 196 NW2d 921, a customer slipped and fell after walking in a puddle of water which was of such size that is was easy to see and avoid. The court was of the opinion that the defect was obvious and not hidden that the store owner had no duty towards the customer. In H. E. Butt Grocery Co. v Johnson (1949, Tex Civ App) 226 SW2d 501,a customer sustained injuries after slipping and falling due to a spill occurring from a soft drink. The courts finally ruled in favour of the defendant. In Fondell v Lucky Stores, Inc. (1978) 85 Wis 2d 220, 270 NW2d 205, a customer slipped and fell after a bottle of liquid cleaner became broken. Negligence was found on both sides , then the decision...
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...Company Introduction Bharat Heavy Electricals Limited (BHEL) is an integrated power plant equipment manufacturer and one of the largest engineering and manufacturing companies in India in terms of turnover.{{cn}] Established in 1964, BHEL ushered in the indigenous Heavy Electrical Equipment industry in India. The company has been earning profits continuously since 1971-72and paying dividends since 1976-77 It was founded on 1953. It has its headquarters in New delhi, India. Its chairman and managing director is B.P.Rao. The company has its main product are uninterruptible power supplies, circuit breakers, switch gear, switchboards and motor controllers. It is engaged in the design, engineering, manufacture, construction, testing, commissioning and servicing of a wide range of products and services for the core sectors of the economy, viz. Power, Transmission, Industry, Transportation, Renewable Energy, Oil & Gas and Defence. It has 15 manufacturing divisions, two repair units, four regional offices, eight service centres, eight overseas offices and 15 regional centres and currently operates at more than 150 project sites across India and abroad. Most of its manufacturing units and other entities have been accredited to Quality Management Systems (ISO 9001:2008), Environmental Management Systems (ISO 14001:2004) and Occupational Health & Safety Management Systems (OHSAS 18001:2007). It is the 12th largest power equipment manufacturer in the world. In the year...
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...Terminus Hotel Budgeted Fixed Cost Theoretical Practical Normal Master‐Budget 10.000.000,00 € 10.000.000,00 € 10.000.000,00 € 10.000.000,00 € Budget Capacity Level (Rooms) 500 495 300 200 Budgeted Fixed Cost per day and room 54,79 € 55,35 € 91,32 € 136,99 € Variable Cost per room and 13,00 € 13,00 € 13,00 € 13,00 € Budgeted Total Cost 67,79 € 68,35 € 104,32 € 149,99 € 1. Pearson Travel asks for its regular booking of 25 rooms per day @ 140€. The Management declined the offer after consultation with the Financial Department. Financial Department is using the Master‐Budget Method for their assesment. As seen in the table above, if the 10M€ is divided by the prevision of 200 rooms and after the addition of the variable costs, the Cost would be higher than the 140€ offer that they have received. After this decission, the forecast for the year will need to be adjusted as the occupancy will be lower now; Master‐Budget 10.000.000,00 € 175 156,56 € 13,00 € 169,56 € 2. Impressa Reisen offered 159€ per day and room and requested 15 rooms per day for the year 2004. Again, management turned down the bid since the calculated cost following the Master‐Budget Method was higher than the offfer. After this decission...
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...阅读高频词汇 List 1 照片n.想象力n.非凡的adj.有活力的adj.讲台，月台n.叙述 讲述 n.adj.露天游乐场n.目标n.v.反馈n.激起,诱发v.不一致adj.连词,结合n.增加 加强n.分配 分发 v.透明的 adj.晋升，提升n.外部的,表面的adj.目标，进球 n.卡路里n.发生率 影响范围n.复制 重复v.乐观的 adj.可能性n.大量，群众n.不足的 稀少的adj. | 1. photograph 2. imagination 3. extraordinary 4. dynamic 5. platform 6. narrative 7. fairground 8. target 9. feedback 10. motivate 11. inconsistent 12. conjunction 13. reinforcement 14. distribute 15. transparent 16. advancement 17. external 18. goal 19. calorie 20. incidence 21. replicate 22. optimistic 23. likelihood 24. multitude 25. scarce | 26. chronic 27. representative 28. pharmaceutical 29. attendance 30. ethical 31. boundary 32. mortality 33. illiterate 34. colleague 35. implication 36. intervention 37. maternal 38. persistent 39. bully 40. physical 41. verbal 42. severity 43. explicit 44. implement 45. substitute 46. campaign 47. permanent 48. offender 49. supervision 50. recognize | 长期的，慢性的adj.典型的 代表n.adj.制药的adj.出席 参加n.道德的,伦理的adj.边界n.死亡率n.不识字的,文盲n.adj.同事n.暗示，可能的影响n.干预,介入n.母亲般的adj.坚持不懈的adj.欺负v.n.身体,生理的adj.与文字相关的adj.严格，严厉，严重n.明确的,详述的 adj.工具 实行 执行n.代替者n.v.战役，运动n.v.永恒的adj.罪犯者，冒犯者n.监督,管理n.认得 辨认出v. | List 2 估计v.修改v.策略 n.占主导，占优势的adj.栖息地n.比例n.欣赏，感激，重视v.破坏v.大多数n.哺乳动物n.退化v.偿还，补偿v.变化 n.描述，代表，阐明 v.创始.n创始的 adj.看的见的adj.危及v.多样n.经济的adj.语言学的adj.双语的adj.生存 v.有助于，导致可替换的adj.觉醒n. | 51. estimate 52. modify 53. strategy 54. dominant...
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...519.48 2012 Q1 410 539.47 Q2 380 575.76 Q3 600 576.92 Q4 960 623.38 Linear equation of deseasonalized sales: y = 23.799x + 424.17 (Using Excel) y(9) = 638.36; y(10) = 662.16; y(11) = 685.96; y(12) = 709.56 year Quarter Sales Deseasonalized sales forecast Reseasonalized forecast 2013 Q1 350 638.36 485.15 Q2 300 662.16 437.03 Q3 520 685.96 713.40 Q4 800 709.56 1092.72 3-1. Month Forecast A Actual demand e Abs (e) e square Abs (e)*100/A 1 225 200 -25 25 625 12.50 2 220 240 20 20 400 8.33 MAD 24.38 3 285 300 15 15 225 5.00 MSE 659.38 4 290 270 -20 20 400 7.41 MAPE 10.18 5 250 230 -20 20 400 8.70 6 240 260 20 20 400 7.69 7 250 210 -40 40 1600 19.05 8 240 275 35 35 1225 12.73 Sum -15 195 5275 81.40 Month Forecast B Actual demand e Abs (e) e square Abs (e)*100/A 1 210 200 -10 10 100 5.00 2 230 240 10 10 100 4.17 MAD 15.63 3 280 300 20 20 400 6.67 MSE 328.13 4 300 270 -30 30 900 11.11 MAPE 6.3018 5 200 230 30 30 900 13.04 6 250 260 10 10 100 3.85 7 220 210 -10 10 100 4.76 8 270 275 5 5 25 1.82 25 125 2625 50.41 3-2. B is more accurate given the lower values of MAD, MSE, and MAPE. 3-3. Sum of forecasting errors for Method B is 25 while sum of forecasting errors for Method A is -15. This indicates that Method B tends to produce more forecasting errors by underforecasting while Method A tends to produce more forecasting errors by overforecasting, and...
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...Table presenting data and calculations for P-Chart: A B C D E F G H I J 1 Sample n d P P- Bar Z CL UCL LCL 2 1 238 11 0.046 0.078 0.017 -1.842 0 3 -3 3 2 245 18 0.073 0.078 0.017 -0.281 0 3 -3 4 3 270 17 0.063 0.078 0.016 -0.938 0 3 -3 5 4 207 15 0.072 0.078 0.019 -0.313 0 3 -3 6 5 251 11 0.044 0.078 0.017 -2.033 0 3 -3 7 6 254 15 0.059 0.078 0.017 -1.142 0 3 -3 8 7 236 19 0.081 0.078 0.017 0.126 0 3 -3 9 8 245 20 0.082 0.078 0.017 0.194 0 3 -3 10 9 246 35 0.142 0.078 0.017 3.735 0 3 -3 11 10 269 14 0.052 0.078 0.016 -1.603 0 3 -3 12 11 223 7 0.031 0.078 0.018 -2.608 0 3 -3 13 12 246 42 0.171 0.078 0.017 5.397 0 3 -3 14 13 262 14 0.053 0.078 0.017 -1.498 0 3 -3 15 14 258 15 0.058 0.078 0.017 -1.205 0 3 -3 16 15 232 20 0.086 0.078 0.018 0.448 0 3 -3 17 16 219 9 0.041 0.078 0.018 -2.049 0 3 -3 18 17 263 23 0.087 0.078 0.017 0.553 0 3 -3 19 18 244 11 0.045 0.078 0.017 -1.931 0 3 -3 20 19 274 21 0.077 0.078 0.016 -0.102 0 3 -3 21 20 245 37 0.151 0.078 0.017 4.237 0 3 -3 22 21 233 16 0.069 0.078 0.018 -0.547 0 3 -3 23 22 267 18 0.067 0.078 0.016 -0.662 0 3 -3 24 23 254 20 0.079 0.078 0.017 0.026 0 3 -3 25 24 264 16 0.061 0.078 0.017 -1.070 0 3 -3 26 25 253 34 0.134 0.078 0.017 3.321 0 3 -3 27 26 290 22 0.076 0.078 0.016 -0.155 0 3 -3 28 27 231 9 0.039 0.078 0.018 -2.226 0 3 -3 29 28 227 40 0.176 0.078 0.018 5.491 0 3 -3 30 29 234 18 0.077 0.078 0.018 -0.078 0 3 -3 31 30 253 15 0.059 0.078 0.017 -1.126 0 3 -3 32 7433 582 2.353 ...
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...lol 1. imminent 2. capable 3. two 4. head 5. distinct 6. homeless 7. argue 8. swanky 9. perform 10. yielding 11. overrated 12. warlike 13. fly 14. ambiguous 15. interfere 16. attractive 17. search 18. squeak 19. trap 20. wonder 21. stay 22. toy 23. tame 24. man 25. dinosaurs 26. zany 27. big 28. thunder 29. slap 30. dime 31. replace 32. misty 33. moan 34. powerful 35. arrogant 36. hunt 37. tub 38. wasteful 39. land 40. education 41. injure 42. action 43. statement 44. cable 45. draconian 46. near 47. low 48. maid 49. sidewalk 50. stove 51. phone 52. available 53. stain 54. baby 55. overt 56. bent 57. guide 58. nondescript 59. morning 60. gleaming 61. separate 62. enormous 63. enchanted 64. direction 65. grip 66. bathe 67. cart 68. grubby 69. rainy 70. separate 71. crook 72. drown 73. damaging 74. ad hoc 75. berserk 76. best 77. form 78. haunt 79. pricey 80. trains 81. wide-eyed 82. vacation 83. hook 84. groan 85. extra-small 86. pencil 87. faint 88. wax 89. puffy 90. vacuous 91. kill 92. jobless 93. bushes 94. meek 95. circle 96. umbrella 97. bashful 98. move 99. point 100. impolite ...
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...QUALITY LEADERSHIP UNIVERSITY UNIVERSITY OF LOUISVILLE - PANAMA MASTER IN ENGINEERING MANAGEMENT EM 613 OPERATIONS MANAGEMENT GROUP PROYECT “OPTIMIZATION OF HAM PRODUCTION PROCESS IN PROCESSED MEAT INDUSTRY ALIMENTOS CÁRNICOS DE PANAMÁ S.A.” MEMBERS: CRUZ, ESTEFANÍA Id. 8-831-2043 CRUZ, JOSÉ Id. 8-785-79 CHANIS, NICOLE Id. 8-837-172. PALMA, MANUEL Id. 8-845-2054 IBAÑEZ, ROBERTO Id. PE-11-1044 PROFESSOR: JOHN S. USHER, PhD, PE JUNE 19, 2015. 1 INDEX INTRODUCTION............................................................................................................................... 3 BUSINESS: ALIMENTOS CÁRNICOS DE PANAMÁ S.A. ....................................................... 3 Processed Meat Business within Grupo Nutresa ......................................................................... 3 Alimentos Cárnicos de Panamá S.A. .......................................................................................... 3 Goals: Process Optimization ....................................................................................................... 4 PROJECT OBJECTIVES ................................................................................................................... 4 General Objectives: ......................................................................................................................... 4 Specific Objectives: ..............................................................................
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...Kristen’s Cookie Co. – Katherine Fanola Individual Assignment Question 1: Draw a Flow Diagram Question 2: How long will it take to fulfill a rush order? The answer is 26 minutes. First, the customer will order which will not take any time. Then, Kristen begins by washing and mixing which will have a cycle time of 6 minutes. Next, spooning will take Kristen 2 minutes, leaving a finish time at 8 minutes (6 min+2min). Then Kristen’s roommate will heat the oven which will take 1 minute leaving a finish time of 9 minutes (8 min+1 min). The cookies will bake for 9 minutes leaving a finish time of 18 minutes (9 min+9 min). Time for the cookies to unload and cool down will then be an additional 5 minutes leaving a finish time of 23 minutes (18 min+5 min). Last step is for customer to pay and for the money to be collecting taking a total of 3 more minutes and leaving a finish time of 26 minutes (23 min + 3 min). Therefore, total time to fulfill a rush order is 26 minutes. Question 3: How many orders can you fulfill in a night, assuming you are open for 4 hours each night? The answer is 22 dozen cookies. Operating for 4 hours in a night is equivalent to operating for 240 minutes. If each order size is one dozen cookies, then order completion time for 1 batch will be 26 minutes. Then, the time for every additional dozen of cookies after that will take 10 minutes. It will take 236 minutes for 22 dozen cookies to be ordered in this case, and it will take 246...
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...Responsible sourcing ............................................................10 Australia first ............................................................................ 12 Our sustainability ................................................................... 13 Our community ....................................................................... 14 Our 3 year performance summary ..................................17 Cover image: supplier to Coles for over 20 years, apple grower Harvey Giblett of Newton Brothers Orchards, located in Manjimup, Western Australia. About us Coles is a leading national food, liquor and convenience retailer in Australia. We employ more than 102,000 team members across our brands, which include Coles and Bi-Lo supermarkets, Coles Express, 1st Choice Liquor Superstore, Liquorland, Vintage Cellars and Spirit Hotels. Our goal What we want to achieve “To give the people of Australia a shop they trust, delivering quality, service and value.” Our values What we believe in Our customers come first – always! We support each other to get things done. Our circle for success Our ways of working Our six point plan to deliver our goal How we work together Lead effectively Act collectively Support consistently...
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... CONTENTS Solving the problem * The consultation process * Research proposal * Preliminary scope * Human resources * Financial resources * Physical resources * External research assistance * Research location * Methods used for research * Sample size * Budget * Time frame * Client interview * Research plan * Objectives * Scope * Research methods * Type of data * Sources of data * Data gathering methods * Sampling * Processing methods * Feasibility Introduction: Coles Supermarkets is an Australian supermarket chain owned by Wesfarmers. It has 741 stores nationally, including 45 BI-LO Supermarkets that also stock Coles private label brands, and more than 100,000 employees. Coles was founded by George James (G.J.) Coles when what was called the "Coles Variety Store" opened on 9 April 1914 in Smith Street in the Melbourne suburb of Collingwood. Expansion to more stores occurred and the chain was regarded as leaders in providing value to Australian shoppers (G. J. Coles learned the retail trade working for his father's "Coles Store" business at Wilmot, Tasmania between 1910 and 1913). Coles' interest in food retailing was spurred in 1958 when it acquired 54 John Connell Dickins grocery stores. It then acquired the Beilby's chain in South Australia in 1959 and 265 Matthews Thompson grocery stores in New South Wales in...
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...Analysis of the grocery industry Coles Supermarkets Australia October 2012 Analysis of the grocery industry Contents Glossary ..................................................................................................................................... i Executive Summary.................................................................................................................. iii 1 Introduction .................................................................................................................... 1 1.1 1.2 Project approach and objectives........................................................................................ 1 Report structure ............................................................................................................... 2 2 3 Coles – an overview ........................................................................................................ 3 Economic contribution of Coles ....................................................................................... 5 3.1 3.2 3.3 3.4 3.5 3.6 3.7 Modelling approach .......................................................................................................... 5 Direct economic contribution ............................................................................................ 6 Indirect economic contribution ......................................................................................... 6 Total economic contribution .......
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...Looking Beyond The Boundaries – A strategy to gain competitive advantage for the Coles Group of Australia By Aruna Kulatunga MGG9352 Management Processes and Systems. Semester 1, 2007 Looking Beyond The Boundaries – A strategy to gain competitive advantage for Coles Group Executive Summary The Coles Group of Australia has allowed its competitive advantage to slip away to rival Woolworth by failing to differentiate its core strategies and by failing to articulate well the strategies that could have been differentiated. In a bid to gain competitive advantage, this report suggests that the Coles Group should look beyond the company boundaries, extending its value chain to suppliers, partners and customers in a seamless manner, employ process like Total Quality Management and Business Process Reengineering in extending the value chain, bedded in a well structured change management programme and look towards globalisation and franchising along with such counter-intuitive, yet innovative, location strategies such as competitive clustering and saturation marketing to regain its competitive advantage. Page 2 23/10/07 Looking Beyond The Boundaries – A strategy to gain competitive advantage for Coles Group Introduction Strategy gurus Porter (1998, p. 2), Mintzberg (1994), Hamel (1998), Hamel and Prahalad, (1994) Champy and Nohria (1996) and Hammer (quoted in Champy and Nohria, (1996)) agree in principle that in order to meet business needs, specific actions need to be...
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...An artist by the name of Donald Glover, better known as Childish Gambino, released a hit album in December of 2016. Prior to releasing Awaken, My Love!, the NBC and The Daily Show featured him as a writer (Adaso). He then took the stage as a comedian and even became a leading actor in the television show Atlanta and other onscreen movies. It wasn’t until 2016 when his music career took flight and did well on the music charts. Although he had previous prior albums, the songs listed on Awaken, My Love! were played on a variety of radio stations that features R&B, Rap, and Pop music. During the first week of its release, about 72,000 albums were purchased making it the top of the charts (Mendizabal). After viewing the album cover, it’s no mystery as to why the album of this new artist sold quickly. It has an unsettling image that leaves the consumer wanting more, such as myself. By using a blue color scheme, fear, and symbolism, the cover of Awaken, My Love! is an appropriate reflection of the album’s content. It was early 2017 when the song “Redbone” went viral. This was the first song that gathered a surfeit of attention from Awaken, My Love!. Although it sounded like it was from a different era, fans were particularly in love with its melody accompanied by Gambino’s vocals. The most iconic phrase from the song that has been seen floating on social media is “stay woke” (“Redbone”). The phrase is embedded in the funky chorus and is easier to clarify compared to the other lyrics...
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