۱٫ Introduction

۲٫ DMAIC cycle

۳٫ Case Study

۴٫ Conclusions

References

Over the last two decades there has been a growing awareness of the need to improve quality in the industrial sector. This paper presents how to implement the DMAIC cycle as an element of continuous improvement in practice. In order to achieve it, the problem of quality and quality improvement is widely discussed. Based on the recognized problem in the organization, an analysis with the application of DMAIC is done. The propositions of improvements, which can be implemented in the organization in order to increase the effectiveness of production process, are also presented.

Introduction

Nowadays, there is a huge pressure on organizations to improve the customer satisfaction and quality in the organization, and at the same time to decrease ineffectiveness and reduce the number of errors. The organizations have to solicit to gain and keep customers, because now, they are the key elements that drive economy. There are many different conceptions, methods and tools that may be used to maintain the good quality level and help in continuous development in the company (Zu, et al., 2008; Bendoly, 2016; Gołaś, et al., 2016). For example, it can be Six Sigma which is an innovative method of quality management introduced in Motorola by Bob Galvin and Bill Smith in the middle of the eighties (Schroeder et al., 2008; Evans & Lindsay, 2014). “Sigma” is a notion taken from statistics. It means any standard deviation of the random variable around the mean value. Therefore, Six Sigma means six times the distance of standard deviation. To achieve Six Sigma a process cannot produce more than 3.4 defects per million opportunities. A defect is defined as anything outside the customer specifications (Moosa, & Sajid, 2010; Lei, 2015). It is inseparably connected with the principles of TQM. Due to its dynamic character it has become one of the most effective tools in continuous development and pursuit of excellence. Six Sigma has developed and systematized many statistical and business tools while reducing costs, defects and cycle time of production, and at the time increasing market share, maintaining customers, product development. Its program can be used at every stage of the production and administrative process (Zu, et al., 2008; Glasgow et al., 2010).