Sensitivity analysis-based process stability evaluation for one-of-a-kind production

Abstract

Quality controlling and process stability evaluating for one-of-a-kind production are the key aspects in improving the major technical equipment production capability. However, it is difficult to find the relationships between upstream machining errors and the machining process conditions and the machining quality due to the samples’ insufficiency. A novel sensitivity analysis-based process stability evaluation for one-of-a-kind production is proposed to solve this problem. First, a variation evaluation model for one-of-a-kind production is established. Second, this model will be analyzed, and the safety and real feasible spaces are described with performance distribution analyses. Finally, the process stability index for one-of-a-kind production is calculated by comparing the relationship between the two spaces. Also, a case validates the effectiveness of the proposed method. It is expected that this paper would contribute to the research of innovative QC methods and process stability evaluation of one-of-a-kind production.

An Enhanced DMAIC Method for Feature-Driven Continuous Quality Improvement for Multi-Stage Machining Processes in One-of-a-Kind and Small-Batch Production

“…Some definitions, configurations, machining networks and key points & applications about WIP in M/S/O have been discussed. There are some researchers concerned about the QC issues in this M/S/O production mode [5], but the studies remain in the conceptual or the primary application phases [6], [7]. In addition, some intelligent algorithms such as artificial neural network (ANN) model has been used in the nonlinear multiple-input multiple-output model of machining processes [8].…”