Risk-Aware Rework Prevention in Personalized Hearing Aid Manufacturing

Abstract

The manufacturing of custom hearing aids is done under a degree of variability that is hard to manage using standard production logic since each order is an expression of an individual anatomy, fitting needs, and design-specific decisions about the product. This means that it is frequently found out too late, after line time, operator effort and material have been used, resulting in avoidable delay and unnecessary burden on manufacturing resources. This paper builds a risk aware execution model to detect probable rework-prone orders earlier in the production process and to take action on the risk before downstream cost is incurred. The framework integrates order-context capture, risk profiling, rework-risk prediction, intervention selection, execution rout- ing and feedback-based updating in a closed operational loop. Actions that are triggered by the system may include parameter checking, expert checking, alternate routing, or controlled release, depending on the estimated risk level before the order is sent to more costly downstream stages. The main point is that prediction can only be valuable when it alters the way the order is man- aged. In that perspective, rework-risk estimation is included in manufacturing control, as opposed to an independent analytical output. The anticipated advantage is reduced rework load, enhanced turnaround performance, increased attention to specialists, minimized material waste, and more stable production flow in the personalized production of healthcare devices.