The welding department supplies parts to the final assembly line. Management decides to implement a kanban system and has collected the following data: • The daily demand is 2000 units. • The production lead time is 4 days (this includes processing time, transport time, and waiting time). • Management has decided to have 1 day of safety stock. • One container fits 400 units. How many kanban containers will be needed to support this system?

Acompany determined that the budgeted cost of producing a product is $30 per unit. on june 1, there were 80,000 units on hand, the sales department budgeted sales of 300,000 units in june, and the company desires to have 120,000 units on hand on june 30. the budgeted cost of goods sold for june would be

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 .

Which of the following has the largest impact on opportunity cost