BPM and Lean to improve the production process of an engineer-to-order metalworking industry
Abstract
The present article describes how the mapping of the production process of a metalworking industry was carried out and the results obtained through it, using BPM, BPMN, Bizagi, Lean, GUT Matrix, 5W2H, and Brainstorming. The objective of this work comprises presenting the stages of the company's process diagnosis, aimed at highlighting problems and analyzing their causes, proposing improvements in the production process to increase company productivity. Mapping a process focusing on improving activities and their flow is a crucial part of staying relevant in the metalworking sector. The proposed method for the study included the following stages: identification of process actors, training for actors, mapping of the production process, process analysis, prioritization of problems, and proposal of improvements. Through the analysis of the mapped process, it was found that, through the 11 actions developed in the improvement proposal, the company would be able to eliminate process waste, achieving better utilization of its production capacity. With the problems presented by the company, it is concluded that, among the developed actions, those focused on the company's information management would have greater relevance in process improvement.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
The Journal reserves the right to make normative, spelling and grammatical changes in the published article, aiming at maintaining the proper standard of the language, while respecting the personal style of the authors.
Author (s) are fully responsible for the published article. Journal of Lean Systems is not responsible for any violations of Copyright.
Journal of Lean Systems allows the author to retain the copyright of articles accepted for publication without restriction.
Plagiarism constitutes unethical behavior and is inconceivable. This journal reserves the right to use any methods of detecting plagiarism to analyze the submitted works.
This journal is licensed under a Creative Commons License.