Practical Management Science
6th Edition
ISBN: 9781337406659
Author: WINSTON, Wayne L.
Publisher: Cengage,
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The repeated observations of demand for a product or service in the order of occurrence form a pattern known as a time series.
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- Amalgamated Products which produces chemical materials has the following demand pattern for one of its key products. Weekly demand data is show below: Week Demand 1 1000 2 1250 3 800 4 1900 5 1640 6 2200 7 1870 8 2670 9 3210 10 2850 11 2200 12 2980 13 3790 14 4210 15 4716 Apply the Holt’s Model in forecasting the demand for period 16 What are the optimal values for alpha and beta if the decision-maker wishes to restrict both values to be between 0.25 and 0.65 What is the value of the minimized error term in this context? Show all related EXCEL plotsB Note: Include all EXCEL regression output and any plotsarrow_forwardThe entry to record cost of goods sold at the end of the month is a: Debit to Work in Process Inventory and a credit to Finished Goods Inventory. Debit to Cost of Goods Sold and a credit to Finished Goods Inventory. Debit to Finished Goods Inventory and a credit to Cost of Goods Sold. Debit to Finished Goods Inventory and a credit to Work in Process Inventory.arrow_forwardI'm trying to determine optimal order quantity but only have a Mean forecast and a standard deviation of it to use for sales data. How would I determine the sales data to use in the optimal order quantity formula?arrow_forward
- A manager uses a trend equation plus quarterly relatives to predict demand. Quarter relatives are SR₁ = 0.9, SR₂ = 0.95, SR3 = 1.05, and SR₁ =1.1, The trend equation is: Fr=9+ 41. Over the past nine quarters, demand has been as follows: Period, t: Demand: Click here for the Excel Data File Compute the MAD and tracking signal for each period. (Negative values should be indicated by a minus sign. Round your intermediate calculations and final answers to 3 decimal places.) Period, t 1 2 3 4 5 6 7 1 2 3 4 5 6 7 В 9 14 18 20 22 28 30 36 42 45 89 Demand 14 18 20 22 28 30 36 42 45 MAD Tracking signalarrow_forwardDiscuss the importance of accurate forecasts in supply chain management.arrow_forwardForecast a department or service area an organizationarrow_forward
- Plot these forecasts AND the original demand data on graph paper or spreadsheet. Use a key to distinguish among your three lines. Please use the graph in the attached picture for the answer.arrow_forwardTasty Bread Company has monthly demand for one of its products as follows: March= 520; April=490; May=550; June=580; July=600; August=420. Compute the three-month moving average for July.arrow_forwardPlease simply answer part barrow_forward
- A company director wants to employ you to forecast the monthly inventory levels for the firm, which manufactures a single product. However, he is unclear what facilities to provide you with, this being the first formal forecasting project undertaken by the firm. Discuss the kinds of decisions that need to be made, including those about what information to utilize and how much money to spend, and the implications of these decisions.arrow_forwardA company wants to forecast demand using the weighted moving average. If the company uses three prior yearly sales values (i.e., the year 2014 = 155, the year 2015 = 140 and year 2016 = 170), and we want to weight the year 2014 at 30%, the year 2015 at 35% and year 2016 at 40%, which of the following is the weighted moving average forecast for the year 2017? 170 158 O 164 O 160arrow_forwardAssuming the following deseasonalized demand, what would your Level and Trend FORECAST factors be for future deseasonalized demand estimates? (Hint, you might want to use excel for this) period 1 2 3 4 5 6 7 8 9 10 13673 6640 2737 3486 141 13186) 5448 3485 7728 16591 8236 3316 855358 11 12 13 15 16 17 18 19 Demand Deseasonalized D₁ Demand D 3200 7658 4420 2384 3654 8680 5795 1953 4742 20 4472 4657 4956 5074 5157 5917 6646 6850 6791 6573 6363 6308 6932 7887 8662 8989 O Level-4696 Trend-343 O Level-3612. Trend-264 O Level 3629; Trend-263 O Level-2528: Trend-185arrow_forward
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