The implementation of Lean Six Sigma methodology in the wine sector: an analysis of a wine bottling line in Trentino
Tutor / director / evaluatorRaffaelli, Roberta
Document typeBachelor thesis
Rights accessOpen Access
Lean manufacturing and Six Sigma are both considered part of the business excellence. These techniques have already been implemented successfully in several areas of business in the last decades. In particular, they have been implemented in manufacturing companies due to their improvement on costs reduction, delivery on time and quality product, always thinking in a continual improvement. This work was focused on the bottling process of a wine-making company where these management strategies are not so developed as manufacturing companies. Thanks to Mezzacorona winery there was the possibility to visit and develop a study of the bottling lines, based on data collected and provided by the winery. In order to develop a proposal implementation strategy based on this new philosophy to the company, the bottling lines of the winery were studied from the Lean Six Sigma view. The DMAIC (Define-Measure-Analyze-Improve-Control) was the methodology used for the identification of compatible Lean techniques and strategies for the reduction of defects and rejected bottles in the winery. The Lean Six Sigma implementation proposed was supported by an extensive literature of most of the techniques involved in both management philosophies. Afterwards, there was an introductory research of some applications in different phases of the wine-making sector. This overview theory and applications were the pillar for the comprehension of the winery methods. These were explained for developing the best proper proposal strategy. Therefore, the proposal involves all the areas involved with the bottling lines. Thus, the efforts of this work were focused on the minimization of the line wastes such as time, overprocessing, overproduction or defects. As a result, it provided solutions for equipment configurations, standardizing work, collection of data, capability and control of processes and other little changes to achieve the best results.