| Pub. Date | : Nov, 2023 |
|---|---|
| Product Name | : The IUP Journal of Operations Management |
| Product Type | : Article |
| Product Code | : IJOM040224 |
| Author Name | : Aaron Kusidi Lutete |
| Availability | : YES |
| Subject/Domain | : Management |
| Download Format | : PDF Format |
| No. of Pages | : 17 |
The study gives a critical analysis of various aspects of probability and alternative methods to understand the probability of defects within manufacturing. It presents the probability of defects as a coherent set of outcomes and adopts a binomial approach by demonstrating the relationship between defective and non-defective moments within production. It analyzes the probability of defects in a continuous distribution process that occurs in a certain range of observations but provides precision on the characteristic of the function. The paper explores the function of the defect without any other parameters like periods or standard deviation. Using the Lebesgue integral to eliminate the presence of non-defective items, the focus was on developing a function or graph just made of defects. For this, it uses various methods of probability analysis in the process.
In any manufacturing process, the probability of defects is an important metric to track. Four theories have been used for this purpose. However, when we talk about a defect, we also talk about many other elements involving undesired results or products or dysfunction in the process and manufacturing system. Defect or default expresses an infelicitous occurrence or outcome. The default cannot be expressed in terms of process, product, habit, or even method or strategy.