In: Accounting
The executive team at Current Designs has gathered to evaluate the company’s operations for the last month. One of the topics on the agenda is a special order to produce a batch of 20 kayaks for a client. Mike Cichanowski asked the others if the special order caused any particular problems in the production process. Dave Thill, the production manager, made the following comments: “Since we wanted to complete this order quickly and make a good first impression on this new customer, we had some of our most experienced type I workers run the rotomould oven and do the trimming. They were very efficient and were able to complete that part of the manufacturing process even more quickly than the regular crew. However, the finishing on these kayaks required a different technique than what we usually use, so our type II workers took a little longer than usual for that part of the process.” Deb Welch, who is in charge of the purchasing function, said, “We had to pay a little more for the polyethylene powder for this order because the customer wanted a colour that we don’t usually stock. We also ordered a little extra since we wanted to make sure that we had enough to allow us to calibrate the equipment. The calibration was a little tricky, and we used all of the powder that we had purchased. Since the number of kayaks in the order was fairly small, we were able to use some rope and other parts that were left over from last year’s production in the finishing kits. We’ve seen a price increase for these components in the last year, so using the parts that we already had in inventory cut our costs for the finishing kits.”
Based on the comments above, predict whether each of the following variances will be favourable or unfavourable. If you don’t have enough information to make a prediction, indicate by using “Not Enough Information.”
1) .Quantity variance for polyethylene powder:
2) Price variance for polyethylene powder.
3) Quantity variance for finishing kits.
4) Price variance for finishing kits.
5) Quantity variance for type I workers
6) Price variance for type I workers.
7) Quantity variance for type II workers.
8) Price variance for type II workers.