Abstract
This study aims to determine the sigma level of the production process of a thermoplastics industry with the implementation of DMAIC approach. To achieve this purpose it was conducted interviews to know the production system, analysing the non-conformities in the produced forks. It was found that the industry has a sigma level that is the reality of industries in general, however, this level still does not equal to what is presented by large industries. The paper contributed to the improvement of industrial quality control, and the proposed method it is being evaluated so that other improvements can be implemented.
Highlights
The competitive intensification arising from the globalization caused the thermoplastic industries begin to adopt strategies that enable cost reduction, customer loyalty and expansion of its consumer market
The process begins with receipt of raw material which arises from the supplier itself, in which material consists of Polyvinyl Chloride (PVC) pigmented with the desired color for the manufacture of forks
The DMAIC method emerges due to its great versatility [11], which allows greater flexibility for Team Six sigma achieve your goals and objectives
Summary
The competitive intensification arising from the globalization caused the thermoplastic industries begin to adopt strategies that enable cost reduction, customer loyalty and expansion of its consumer market. E., is a process focussed program and aims to improve the process through systematic methodology [3] In this way, the goal is to stop the defects before they appear and reduce quality costs by adopting a predictive rather a reactive approach toward rejection and rework [4]. The goal is to stop the defects before they appear and reduce quality costs by adopting a predictive rather a reactive approach toward rejection and rework [4] The utilization of this philosophy can be implemented through the DMAIC method (Define, Measure, Analyze, Improve, and Control) [5] that consists of refers to five interconnected stages that systematically help organisations to solve problems and improve their processes [6].
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