Cullumber Company uses the lower-of-cost-or-net realizable value basis for its inventory. The following data are available at December 31. Item Units Unit Cost Net Realizable Value Cameras: Minolta 3$172$152 Canon 9140170 Light meters: Vivitar 13130100 Kodak 16117128 Determine the amount of the ending inventory by applying the lower-of-cost-or-net realizable value basis. The ending inventory $enter The ending inventory in dollars

Cullumber Company

The ending inventory is:

= $4,888.

Explanation:

a) Data and Calculations:

Item      Units     Unit Cost     Net Realizable Value   Value of Ending

Cameras:                                                                       Inventory (LCNRV)

Minolta      3            $172                 $152                             $456 ($152 * 3)

Canon       9              140                   170                              1,260 ($140 * 9)

Light meters:

Vivitar      13              130                   100                              1,300 ($100 * 13)

Kodak     16               117                    128                              1,872 ($117 * 16)

Total value of Ending Inventory based on LCNRV =          $4,888

b) The Lower of cost- or net realizable value method of valuing ending inventory determines the value by choosing the lower value between the cost price of the inventory and the net realizable value.  The purpose that is served by using the LCNRV method is that it reflects the decrease of inventory value when it goes below its original cost while at the same time it does not recognize the increased market value when the cost is lower.

a manufacturer of printed circuit boards uses exponential smoothing with trend to forecast monthly demand of its product. at the end of december, the company wishes to forecast sales for january. the estimate of trend through november has been 200 additional boards sold per month. average sales have been around 1000 units per month. the demand for december was 1100 units. the company uses α = 0.20 and β = 0.10. make a forecast including trend for the month of january.

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