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© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

The correct performance of the welding processes used to join metal parts or structural elements is considered to be of vital importance to guarantee the reliability of these products during their useful lives. Adequate workstation design ensures a safe environment in which an operator can perform these processes correctly. In order to guarantee the quality of welding seams, which are used to join metal parts and structural elements, a series of standards have been developed; these standards establish requirements to guarantee the correct performance of welding processes, and the inspection of the metal welds obtained. The 5S methodology has proven to be a valid tool for improving workplaces in industrial and service activities; it is a capstone methodology when companies implement lean production approaches. This work presents a framework for applying the 5S methodology in metal welding workplaces. It defines an index to evaluate the degree of implementation of the 5S methodology, and the application of the important performance analysis methodology (IPA). Fuzzy logic is used to treat the uncertainty in evaluating the different evaluation indicators proposed. This framework is applied to a real practical case, to provide an example of its use in establishing good manufacturing practices that guarantee compliance with the requirements of welding standards, and guaranteeing the correct handling and storage of the materials and tools used in welding processes for the manufacture of welded parts and structural elements.

Details

Title
A 5S Lean Strategy for a Sustainable Welding Process
Author
Manzanares-Cañizares, Carlos 1 ; Sánchez-Lite, Alberto 2   VIAFID ORCID Logo  ; Rosales-Prieto, Víctor F 1   VIAFID ORCID Logo  ; Fuentes-Bargues, José Luis 3   VIAFID ORCID Logo  ; González-Gaya, Cristina 1   VIAFID ORCID Logo 

 Construction and Manufacturing Engineering Department, National Distance Education University (UNED), C/Juan del Rosal 12, 28040 Madrid, Spain; cmanzanar2@alumno.uned.es (C.M.-C.); victor.rosales@ind.uned.es (V.F.R.-P.); cggaya@ind.uned.es (C.G.-G.) 
 Department of Materials Science and Metallurgical Engineering, Graphic Expression in Engineering, Cartographic Engineering, Geodesy and Photogrammetry, Mechanical Engineering and Manufacturing Engineering, School of Industrial Engineering, Universidad de Valladolid, P° del Cauce 59, 47011 Valladolid, Spain 
 PRINS Research Center, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain; jofuebar@dpi.upv.es 
First page
6499
Publication year
2022
Publication date
2022
Publisher
MDPI AG
e-ISSN
20711050
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2674417365
Copyright
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.