A migration strategy for automating a vision-based concentricity inspection station

  • Authors:
  • Jun-Ing Ker;Yichuan Wang;Min-Na Li

  • Affiliations:
  • Industrial Engineering, Louisiana Tech University, Ruston, Louisiana, USA;Industrial Engineering, Louisiana Tech University, Ruston, Louisiana, USA;Industrial Engineering, Louisiana Tech University, Ruston, Louisiana, USA

  • Venue:
  • Robotics and Computer-Integrated Manufacturing
  • Year:
  • 2013

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper presents the development of an automation migration strategy in transforming a manual visual inspection work cell into a semi-automated one for a medical device manufacturer in China. The object under study is a washer/magnet subassembly used in an air release valve. These two circular components must be bonded concentrically and then inspected with bare eyes by a human inspector. Such inspection process was prone to error as the inspector struggled to keep up with the production cycle time. The methodology employed in this research consists of four steps. First, we examined the cost of rework through the Pareto analysis. The results indicated that the washer/magnet misalignment accounted for more than 40% of valve defects and thus deserved immediate attention. Next, we conducted two Kappa analyses to evaluate repeatability and reproducibility of the human inspectors assigned to perform the inspection tasks. The results showed that the human inspectors failed to pass these tests and a suitable automation solution must be sought. Afterwards, efforts were made to develop a vision based semi-automated concentricity inspection station to eliminate human inspection errors. Hardware setup, software algorithms, lighting and other supporting devices are presented in this paper as well as potential savings for such an installment. Finally, we conducted an economical analysis to compare the semi-automated solution with a fully automated one to identify the best automation migration strategy. The analysis results showed that the semi-automated solution was a favorable choice due to a shorter payback period and its ease of reinstallation if the factory is to be relocated.