Total Defect Essay

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In the analyze stage, the first thing that we did was count the total defect and the total cost of each machine. To be able to do this, the group needs to read every comment detail to find out each order defect and its cost. We had 291 data orders that we read each one of them and consist of 57 orders for 8c auto machine, 28 orders for 10c auto blue machine, 67 orders for 10c auto green machine, 65 orders for 12c auto blue machine, and 74 orders for 12c auto green machine. We would like to know the summary information about the total defect and total cost for each operator team and machine. Table 1 was developed to give the detail information about how many defects that happen during the month July-December last year and the total cost to spend …show more content…

The reason why we divided these data in two categories because as we said earlier that Scarborough Company had about 2% production defect rate. So, the company regulation were if the defect was under 2%, the production would be still running as usual and the operator just needs to change the defect shirt with a new one. That’s why there was only total cost for the shirt only in the defect under 2%, as you can see from table 1. On the other hand, if the percentage of defects were over 2%, the company would run the replacement process that costs more money. The replacement cost such as for replacement new ink, set up the machine, order a new shirt, overtime worker and some other technical replacement. Moreover, the cost also include for incoming freight cost and outgoing freight cost. Incoming freight cost was an additional cost for shipping a new shirt from the vendor to Scarborough Company. Outgoing freight cost was an additional cost for shipping the product from Scarborough Company to the final …show more content…

These defects cost $3,996.31 with the detail of $733.37 from 8c Auto machine, $511.38 from 10c Auto blue machine, $652.80 from 10c Auto green machine, $1400.21 from 12c Auto blue machine, and $698.55 from 12c Auto green machine. From these data, we able to calculate the defect contribution from each machine that you could find from table 3. We found out that 8c Auto machine contribute 13.96 % of total defect and 18%35 of total cost, 10c Auto blue machine contribute 10.47% of total defect and 12.80% total cost, 10c Auto green machine contribute 19.26% of total defect and 16.34% total cost, 12c Auto blue machine contribute 31.98% of total defect and 35.04% total cost, and 12c Auto green machine contribute 24.32% total defect and 17.48% total

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