A way to use moving averages is to use them as dynamic support and resistanceWe like to call it dynamic because it's not like your traditional horizontal suppo resistance lines. They are constantly changing depending on recent price action.There are many traders out there who look at these moving averages as key sup resistance. These traders will buy when price dips and tests the moving averagif price rises and touches the moving average. Watch the blue line as support. It looks like it held really
Deterministic techniques assume that no uncertain exists in model parameters. A: True An inspector correctly identifies 90% of the time. For the next 10 products, the probability that he makes fewer than 2 incorrect inspections is .736. A: Use Binomial table to discover , add 3 probabilities for 0,1,2 A continuous random variable may assume only integer values within a given interval. A: False A decision tree is a diagram consisting of circles decision nodes, square probability nodes and branches
chain management and demand management? According to Schroeder, Goldstein, & Rungtusanatham (2013), supply chain management is the process that is used by a company to ensure that its supply channel that supplies and materials are processed through is moving and operating in an efficient and cost effective manner. However, demand management is when decisions made affect the amounts of one or more products that are a part of the supply chain. (4) How do lead times and forecast errors affect supply chain
This can be analysed using either the multiplicative or additive method. In the additive version, seasonality is expressed as a quantity to be added to or subtracted from the series average. For the multiplicative model seasonality is expressed as a percentage (seasonal relatives or seasonal indexes) of the average (or trend). These are then multiplied times values in order to incorporate seasonality. Associative Models Also known as “causal” models involve the identification of variables that
are trading. In other words, a market is trading with below average volatility by the market 's historical data. The Keltner Channel Squeeze
input/Output model focuses on sales of each industry to other firms and governments; it indicates the changes in sales that a producer industry might expect because of purchasing changes by another industry. Leading Indicators type are statistics moving in the same direction as the series being forecast but move before the series, such as an increase in the price of gasoline indicating a future drop in the sale of large cars. Simulation Models are dynamic models; Dynamic modeling in organizations
Altavox Excel Data (1) Week 1 2 3 4 5 6 7 8 9 10 11 12 13 Average Atlanta 33 45 37 38 55 30 18 58 47 37 23 55 40 40 Boston 26 35 41 40 46 48 55 18 62 44 30 45 50 42 Chicago 44 34 22 55 48 72 62 28 27 95 35 45 47 47 Dallas 27 42 35 40 51 64 70 65 55 43 38 47 42 48 Los Angles 32 43 54 40 46 74 40 35 45 38 48 56 50 46 Total 162 199 189 213 246 288 245 204 236 257 174 248 229 222 Altavox Data (2) Week -5 -4 -3 -2 -1 Atlanta 45 38 30 58 37 Boston 62 18 48 40 35 Chicago 62 22 72 44 48
1. INTRODUCTION Consumer demand for a product can be fulfilled entirely in the master production schedule if supported by production capacity according to production requirements. Master production schedule can be easily realized if consumer demand is constant, but in fact companies often experience fluctuations in the demand of consumers who tend to be unstable. Based on research Liske F. (2012) that capacity planning is done well can meet the demand of existing customers as well as be able to increase
1. Carrying costs include the following items, except: a. labor b. record keeping c. rent *d. all the above 2. Which of the following is not a cost associated with carrying inventory? *a. price discounts b. carrying costs c. ordering costs d. shortage costs 3. The level of inventory at which a new order should be placed is known as the a. lead time b. replenishment quantity *c. reorder point d. service level 4. A restaurant currently uses 62,500 boxes of napkins
Assessment of Forecasting Forecasting is a method of extrapolation of quantitative and qualitative data to predict future requirements. Qualitative forecasting is subjective, whereas quantitative forecasting contains projection of historical data. Simply stated, forecasting is a technique utilized in efforts to match supply with demand. Accurate forecasts are necessary throughout the supply chain to guide decisions regarding operation activities. “Poor forecasting can result in poor inventory