An assembly sensitivity analysis method based on state space model

作者：Li, Xin; Shang, Jianzhong^*; Zhu, Hong

来源：Assembly Automation, 2017, 37(2): 249-259.

DOI：10.1108/AA-04-2016-033

• Assembly sensitivity
• Key control characteristics
• Key product characteristics
• State space model

Purpose - This paper aims to consider a problem of assembly sensitivity in a multi-station assembly process. The authors focus on the assembly process of aircrafts, which includes cabins and inertial navigation system (INSs), and establish the assembly process state space model for their assembly sensitivity research.
Design/methodology/approach - To date, the process-related errors that cause large variations in key product characteristics remains one of the most critical research topics in assembly sensitivity analysis. This paper focuses on the unique challenges brought about by the multi-station system: a system-level model for characterizing the variation propagation in the entire process, and the necessity of describing the system response to variation inputs at both station-level and single fixture-level scales. State space representation is used to describe the propagation of variation in such a multi-station process, incorporating assembly process parameters such as fixture-locating layout at individual stations and station-to-station locating layout change.
Findings - Following the sensitivity analysis in control theory, a group of hierarchical sensitivity indices is defined and expressed in terms of the system matrices in the state space model, which are determined by the given assembly process parameters.
Originality/value - A case study of assembly sensitivity for a multi-station assembly process illustrates and validates the proposed methodology.

• 出版日期2017
• 单位中国人民解放军国防科学技术大学