This paper is about operations management. It is a case study about a manufacturing firm that is facing a significant error rate in product that is going to its largest customer. Using statistical data, the source of the error is identified, as are the larger issues that have allowed such errors to make it out of the factory in the first place.
¶ … mallets are not meeting the customer specifications. This could cost Stooges significantly, for a couple of reasons. The first is that returns and products not to spec represents a waste of materials -- a cost of goods sold that will not be offset by revenues. Further, the company expanded on the basis of its contract with Slapstick. Its quality reputation helped land it this deal. The major problem here is that if the Slapstick cancels the contract because of these quality issues, then Stooges is going to face major solvency problems, without their biggest customer and with a debt overhang from their expansion.
There are several underlying issues that all contribute to the quality problems. The first is that there is a lack of quality culture at Stooges. The company was successful at quality control when it was smaller, and management seems to have assumed that this quality culture was inherent, did not need to be taught, and would carry over after the expansion. That assumption shows a lack of leadership with respect to quality, and it is therefore no surprise that the company lacks formal systems and that its quality outcomes were less than desirable.
The lack of a coherent quality management system is clearly an issue, as management has never put one in place. Even now, the company is not entirely sure why the problems are occurring, which should raise a red flag about its preparedness to overcome this issue. Without facts and analysis, Stooges right now is a long way from solving its quality problems. A system with objectives, tactics, training and measures needs to be put into place as soon as possible.
There are more minor issues as well. With the expansion, the company added another shift and this has clearly lowered its overall quality capabilities. Running with three shifts creates a number of problems. There are more workers, and there are periods (overnight) when there is no senior management presence on site. Further, running three shifts reduces the opportunity for maintenance on the equipment. Workers overnight are also more likely to be tired and make mistakes. Another issue is the pressure that the workers are under with the new contract. Pressure creates a motivation in the workers to relieve that pressure. Thus, if management does not specifically orient workers towards quality objectives, the workers will assume that output is the most important objective, and work towards output, sacrificing quality if need be. This misguide motivation is compounded by the lack of a strong quality control culture and the lack of coherent quality control systems at Stooges. Just in time delivery has been cited as a source of the pressure, but JIT has been implemented by companies all over the world without having these problems -- management's response to JIT is the problem.
Facts
The spreadsheet with the test data on the diameters of the cut reveals how the company is performing with respect to quality. According to the calculations, 39 samples out of 150 were found to be out of spec, a total of 6%. Of these, all 9 were cut to a smaller size than the allowable deviation. Only 9 in total (6%) were cut exactly to 16.5 inches.
The error rate of 6% is entirely unacceptable. This means that if 10,000 mallets are inspected at random, 600 would not be to the customer's specifications. These types of numbers confirm that the problem is as bad as was thought. Not only is the contract at risk, but the 6% reject rate must eradicate the profit margin that Stooge would prefer to be earning. The problem needs to be fixed, with target rates much closer to something like the Six Sigma defect rate of 3.4 ppm. The current rate extrapolates to 60,000 per million, so there is a bit of work to be done here.
Tentative Solution
At this point, the problems are massive and existential. There needs to be some sort of move to staunch the bleeding (of red ink, of course). The company must first approach its main customer, Slapsticks, and inform them that it has recognized the problem and is taking steps to resolve the problem. This should address the key issue, which is the risk to the firm that this quality control problem is causing. Once there are assurances from Slapstick, Stooges can proceed with implementing a quality control program. The first step is to take the issue straight to the shift managers and the workers. That anybody in the company would allow a 6% defect rate out of the factory door is unacceptable. This step is important in establishing a quality culture -- tell them you are establishing a quality culture, even before you take the first tangible step.
Even before the initial meeting, statistical analysis can point to specific problems. Statistical analysis can point to trends in the problems. There is one clear and obvious trend that emerges from the data. All nine errors were committed by Shemp. All were cut too small. The realization that there is a clear pattern helps pinpoint the short-term remedy. There are a number of issues. First, Shemp might be bad at his job. Maybe Shemp is new to the company, in which cases errors are almost expected (though not necessarily tolerated). Further, Shemp's equipment may be faulty or poorly-calibrated -- this might not be operator error but rather a mechanical error. Third, no matter why the cuts were poor, they should have been detected before the product left the factory. Finding out what the issue is, either by fixing Shemp's machine or training Shemp, is important to short-term resolution of this problem.
Follow-Up and Contingency Plans
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