Hello, could you help me with the answer in the above lines, please?

Skateboard ICE Deck (1) Wheel assembly (2) Bolts & Nuts M6 (8) Riser (2) Wheels (2) Bearings (4) Truck (1) Nuts M8 (4) A company assembles and sells skateboards. One popular model is the "ICE". The final assembly plan for April to September, which also represents 50% of a full year's demand: Month June August October April 5000 May 7000 July 2000 September 3000 10000 4000 ? Forecast (units) Demand (units) 4500 8000 10000 1900 4000 3200 ? The company is using MRP. The forecast for Skateboard ICE for the next coming six weeks: Week w36 w37 w38 w39 w40 W41 Demand (forecast, units) 750 750 750 900 950 1000 The company are buying all components from different suppliers. They are only making the wheel assembly and the assembly of the final skateboard, see also the diagram above. Item Stock level Value/item Lot size Lead time (weeks) Skateboard ICE 1800 $250.00 2000 1 Decks 4000 $20.00 1500 2 Wheel assemblies 1200 $80.00 Even hundreds 1 Bolts and Nuts, M6 25000 $0.50 50000 1 Risers 30000 $1.00 50000 1 Wheels 20000 $8.00 40000 2 Bearings 40000 $4.00 50000 2 Trucks 2000 $19.00 ? 2 Nuts, M8 50000 $0.25 100000 1 The company has an ordering cost of $150/order and the inventory carrying cost is estimated to 10%. 3a. If we use moving average with n=5, what is the forecast for Skateboard ICE for October? Round off to the closest number of hundreds. units 3b. If we use exponential smoothing with a=0.3, what is the forecast for Skateboard ICE for October? Round off to the closest number of hundreds. units 3c. Suppose it's now week 35. In what week should production of wheel assemblies start? Answer with an integer number. (week) 3d. In relation to question 3c above, what quantity of wheel assemblies will be needed? Answer with an integer number. wheel assembly units 3e. The company have had some problems with the supplier of the truck parts and therefore want to review the setup. But first they want to check how many truck parts they should order each time by calculating the Economic Order Quantity (EOQ). What quantity of truck parts should the company order? Round off to the closest number of hundreds that is the most economically favorable. truck parts 3f. The supplier of the truck parts replies to the company that if they order in lots of 10 000 each time, they will get a 5% discount. What is the total cost for the truck parts if the company order 10 000 each time? Round off to the closest integer