Computer-aided tolerance chain identification system for tolerance allocation

In manufacturing industry tolerance has a significant role in both the growth and the cost of the final product. Tolerance allocation is a crucial design strategy that must be used in order to achieve the dual goals of lowering the overall cost of production while keeping the appropriate degree of quality. Tolerance allocation is a vital design technique that must be implemented in order to fulfil the twin aims of reducing the total cost of production while maintaining the required level of quality. Tolerance allocation is the only method that will work for accomplishing this goal. In order to properly do tolerance charting, it is necessary to first identify the tolerance chain. It is necessary to identify each operation's working dimension and tolerance using the tolerance chain identification method. This research presents a computer-aided method for determining working dimensions and tolerance chains, as well as for computing the average sizes of working dimensions. Charts of acceptable levels of risk are utilized as the foundation for the system. The tolerances and dimensions of the blue prints, as well as the processing capacity, are input into a nonlinear optimization model so that the lowest possible manufacturing cost can be determined. In order to solve this issue, both the Genetic Algorithm (GA) and the optimization model were used.