Describe analytics models and data that could be used to make good recommendations to the power company. here are some questions to consider: • the bottom-line question is which shutoffs should be done each month, given the capacity constraints. one consideration is that some of the capacity – the workers’ time – is taken up by travel, so maybe the shutoffs can be scheduled in a way that increases the number of them that can be done. • not every shutoff is equal. some shutoffs shouldn’t be done at all, because if the power is left on, those people are likely to pay the bill eventually. how can you identify which shutoffs should or shouldn’t be done? and among the ones to shut off, how should they be prioritized?

If temper company, a manufacturer of mattresses, was considering moving its production facilities to china but decided against it because the additional costs of shipping the mattresses back to the u.s. would offset the cost savings associated with moving the production facilities, the increased costs associated with shipping would be an example ofanswers: learning-curve economies.diseconomies of scale.economies of scale.competitive advantages.

The monthly sales for yazici​ batteries, inc., were as​ follows: month jan feb mar apr may jun jul aug sept oct nov dec sales 19 20 17 12 11 18 16 17 19 22 21 24 this exercise contains only parts b and c. ​b) the forecast for the next month​ (jan) using the naive method​ = nothing sales ​(round your response to a whole​ number). the forecast for the next period​ (jan) using a​ 3-month moving average approach​ = nothing sales ​(round your response to two decimal​ places). the forecast for the next period​ (jan) using a​ 6-month weighted average with weights of 0.10​, 0.10​, 0.10​, 0.20​, 0.20​, and 0.30​, where the heaviest weights are applied to the most recent month​ = nothing sales ​(round your response to one decimal​ place). using exponential smoothing with alpha ​= 0.40 and a september forecast of 21.00​, the forecast for the next period​ (jan) = nothing sales ​(round your response to two decimal​ places). using a method of trend​ projection, the forecast for the next month​ (jan) = nothing sales ​(round your response to two decimal​ places). ​c) the method that can be used for making a forecast for the month of march is ▾ a 3-month moving average a 6-month weighted moving average exponential smoothing the naive method a trend projection .

The role of the credit department includes: a. evaluating customers' credit applications to determine whether they meet the company's approval standards. b. approving all credit applications in order to avoid losing sales. c. collecting cash from customers. d. following unwritten approval standards for processing customers' credit applications.