Abstract

Ability of processes to meet customer’quality requirements has become essential for providing competitive advantages such as cost savings, reducing the number of nonconfoming products or increasing customer satisfaction. This paper aims to conduct a capability study for a swaging process (that ensures an assembly dimension) of a key product characteristic (the outer diameter of a new part), related to the concept of capability and performance indices and how these metrics can be used and interpreted to become powerful tools for decision making. To achieve the goal of the paper, the following key aspects were analyzed: capability of the measurement system capability (gage R&R), production equipment (machine) capability and process capability/performance during the first serial production. The analysis was performed with Minitab® 17, the most commonly used software for quality improvement.

Highlights

  • Ability of processes to meet customer’quality requirements has become essential for providing competitive advantages such as cost savings, reducing the number of nonconfoming products or increasing customer satisfaction

  • The observed process variation comes from two sources [2]: variation due to the differences between parts made by the process called actual process variation and variation due to the measurement variation i.e. imperfections in taking measurements

  • When quantifying process capability is important to assure that measurement system is capable

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Summary

Introduction

Ability of processes to meet customer’quality requirements has become essential for providing competitive advantages such as cost savings, reducing the number of nonconfoming products or increasing customer satisfaction. As a matter of fact, in any process, regardless of how well designed or carefully maintained it is, a certain amount of inherent or natural variability will always exist [1] This type of variation is the cumulative effect of many small causes, named common, chance or random causes. Dominant sources of variation may appear, that are not part of the process and they are named as special or assignable causes These types of causes are not predictable and are sporadic in nature. The variation which is present in a process (whether it is a business or a manufacturing process) is the main cause of the quality problems, so measuring variability and finding ways to reduce it, is essential for the success of any company. The observed process variation comes from two sources [2]: variation due to the differences between parts made by the process (part-to-part variation) called actual process variation and variation due to the measurement variation (measurement system or gage/gauge variation) i.e. imperfections in taking measurements

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