Should your division be using moving average, weighted average, or exponential smoothing in forecasting calculations?
What are the advantages of moving average? What are the advantages of exponential smoothing?
You are the Operations Manager for a $50,000,000 (sales) subsidiary of a $750,000,000 corporation. You report to the Divisional Vice President. Your division produces industrial products that are used in the construction, maintenance, transportation, and equipment manufacturing industries. The other two divisions in your corporation serve the automotive and electronics industries. A few products are cross-marketed.
Your division is currently number three in your market place. The number one firm has about 60% of the market, the number two firm has about 25% of the market, and you have about 15% of the market. Your products are often used in human safety applications, so product quality is paramount. Neither you nor your competitors have a competitive quality advantage, nor a distinct production cost advantage. Being number three in the market place has meant that your division must excel in customer service and delivery reliability.
Over 90% of your sales come through manufacturing representatives to regional distributors who hold inventory of your most popular products in limited quantities. To keep your distributors loyal, your company works very hard on customer service. Your division currently has about 4,000 products in your catalog. About 1,200 items are “in-stock” (MTS, Make-to-Stock) items. The remaining 2,800 items are “non-stock” items that can be considered to be Make-To-Order (MTO). The MTO items are not stocked but are manufactured if, and only if, an order for them is received. Your division promises to ship all “in-stock” items within 24 hours of receiving the order. If the order is received by noon, the order is shipped that day. Because most of your orders are small and are delivered to diverse addresses, UPS is the preferred shipping mode.
In contrast, your two sister divisions operate on a much longer lead-time and ship in comparatively larger quantities. They tend to operate much more in the MTO mode and do not offer the fast 24-hour shipping responses that your division does. The corporate headquarters are in St. Louis, Missouri, where the company was founded in the 1910s. You are located in Cape Girardeau, Missouri, where manufacturing operations were moved in the 1950s to exploit the lower labor costs. The corporate North American Warehouse (NAW) is located in a western suburb of St. Louis to be near the St. Louis airport. Virtually all shipments to customers are made from the NAW. Several years ago, to stay competitive,
production operations started to shift from the Cape Girardeau location to a plant in Mexico. The shift to Mexico has been successful overall, but the plant does not always deliver what is needed and is sometimes late in delivering parts to the NAW.
The corporation installed SAP several years ago. You have been far too busy to thoroughly investigate all of the details, but everyone in the organization seems to be satisfied at some level with the system. Because you are the STO (Senior Technical Officer) of your division, you also manage the client support group (located near the St. Louis airport) which consults with clients on selecting which products to purchase and offers consulting/project management services for installing your products. Your direct reports include the Plant Manager in Cape Girardeau, the Plant Manager in Mexico, the Divisional Supply Chain Manager, the Manager of Product Quality Control, and the Divisional Customer Support Manager. Your chief peers are the Director of Marketing and the Manager of the Divisional Headquarters staff. Order entry reports to the Director of Marketing.
Purchasing, Accounting, Finance, HR, and IT functions are handled at the corporate level. The manager of the NAW formally reports to the VP of the automotive division, but he is tasked to serve all three divisions equitably.© BrainMass Inc. brainmass.com October 16, 2018, 5:35 pm ad1c9bdddf
Background of the Division
The division is a $50,000,000 (sales) subsidiary of a $750,000,000 corporation. This division produces industrial products that are used in the construction, maintenance, transportation, and equipment manufacturing industries. Division is currently number three in your market place having 15% of the market.
Use of Forecasting
Forecasting is an essential tool in any decision making process. There are various techniques of forecasting:
I Regression analysis is used to forecast revenues and expenses: Regression analysis is any statistical method where the mean of one or more random variables is predicted conditioned on other (measured) random variables. The Regression Analysis is the part of Statistics that analyzes the relationship between quantitative variables. It helps predict the reaction of a variable when a related variable varies.
II Decision tree analysis is attempted to enumerate various possible combinations of events that culminate in the formation of demand and the probabilities of the various events occurring.
A decision tree is a graph of decisions and their possible consequences, (including resource costs and risks) used to create a plan to reach a goal. Decision trees are constructed in order to help with making decisions. It can be used in estimation of demand. The Delphi Technique is a form of evaluation. Most often this technique is used for forecasting future ...
This explains the concept of using moving average, weighted average, or exponential smoothing in forecasting as they apply to the production of goods and services.
Forecast the sales for month 19 and compute the MSE and MAD using moving average, weighted moving average, exponential smoothing, trend line projection.
MSE(Mean Squared error)
MAD(Mean absolute deviation)
6-23 The Garden Avenue Seven sells tapes of its musical performances. The following data shows sales for the past 18 months. The group's manager wants an accurate method for forecasting future sales.
Month Sales Month Sales Month Sales
1 293 7 381 13 549
2 283 8 431 14 544
3 322 9 424 15 601
4 355 10 433 16 587
5 346 11 470 17 644
6 379 12 481 18 660
Forecast the sales for month 19 and compute the MSE and MAD assuming:
a. A 3 months moving average
b. A 4 months weighted moving average, assuming a weight of 0.4 for the most recent period, 0.3 for the next period back, 0.2 for the third period back, and 0.1 for the fourth period back.
c. An exponential smoothing with alpha = 0.3 and 0.5. Which value of alpha provides the best forecast?
d. A trend line projection
e. Which method of forecasting would you recommend to the manager? Why?