Proactive assessment of basic complexity in manual assembly: development of a tool to predict and control operator-induced quality errors
提出一种预测手动装配基本复杂性的方法，包含16个高复杂性和16个低复杂性标准，帮助设计人员在早期设计阶段预防装配错误，降低质量风险。
A major challenge for manufacturing companies today is to manage a huge amount of product variants and build options at the same time in manufacturing engineering and in production. The overall complexity and risk of quality errors in manual assembly will increase placing high demands on the operators who must manage many different tasks in current production. Therefore, methods for decreasing and controlling assembly complexity are urgent because managing complex product and installation conditions will result in distinct competitive advantages. The objective of this paper is to present a method for predictive assessment of basic manual assembly complexity and explain how included complexity criteria were arrived at. The verified method includes 16 high complexity and 16 low complexity criteria to aid designers in preventing costly errors during assembly and create good basic assembly conditions in early design phases of new manufacturing concepts.