TY - JOUR
T1 - Utilization of the Arena simulation software and Lean improvements in the management of metal surface treatment processes
AU - Dias, A. S. M. E.
AU - Antunes, R. M. G.
AU - Abreu, A.
AU - Anes, V.
AU - Navas, H. V. G.
AU - Morgado, T.
AU - Calado, J. M. F.
N1 - info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00667%2F2020/PT#
Funding Information:
The authors wish to thank the iSCSi Conference for the opportunity to submit this paper. A special thanks goes to the company of the metalworking industry (that preferred to remain anonymous) that collaborated to carry out the presented case study. Lastly, the authors also wish to acknowledge the Superior Institute of Engineering of Lisbon - Polytechnic Institute of Lisbon for their support through the project ReEdIA - Risk Assessment and Management in Open Innovation, IPL/2021/ ReEdIA/ISEL and the UNIDEMI, CTS, UNINOVA-Universidade NOVA de Lisboa.
Publisher Copyright:
© 2022 Elsevier B.V.. All rights reserved.
PY - 2022
Y1 - 2022
N2 - For companies to stand out in increasingly competitive, dynamic and global markets, they must have customer satisfaction goals, create value through their processes, products and services and also aim for innovation. In this context, computer sciences combined with engineering processes constitutes a powerful way for companies to be able to improve process management, to interact with such markets in an efficient and effective way. The main objective of this article is to use Arena simulation software, to quantitatively predict the impact of improvements applied in metal surface treatment processes, based on tools to support Lean thinking. A case study in a Portuguese company in the metalworking sector is presented, in which it is verified that the proposed improvements in terms of the factory layout and resource management, suggested by the comparison between simulations of the current state of the company and the improved one, streamline the processes of finishing in metals, namely zinc coating and lacquering which prevent the occurrence of oxidation and the consequent corrosion of the base metals, by adding other metals and materials to their surface, which adhere and protect it. Through the results obtained, it is concluded that the reduction of waiting times and transport of stocks without production and of work-in-progress, as well as the increase of the productive capacity, make the company more able to guarantee the satisfaction of the requirements of its customers and improve its positioning in the market compared to its competitors.
AB - For companies to stand out in increasingly competitive, dynamic and global markets, they must have customer satisfaction goals, create value through their processes, products and services and also aim for innovation. In this context, computer sciences combined with engineering processes constitutes a powerful way for companies to be able to improve process management, to interact with such markets in an efficient and effective way. The main objective of this article is to use Arena simulation software, to quantitatively predict the impact of improvements applied in metal surface treatment processes, based on tools to support Lean thinking. A case study in a Portuguese company in the metalworking sector is presented, in which it is verified that the proposed improvements in terms of the factory layout and resource management, suggested by the comparison between simulations of the current state of the company and the improved one, streamline the processes of finishing in metals, namely zinc coating and lacquering which prevent the occurrence of oxidation and the consequent corrosion of the base metals, by adding other metals and materials to their surface, which adhere and protect it. Through the results obtained, it is concluded that the reduction of waiting times and transport of stocks without production and of work-in-progress, as well as the increase of the productive capacity, make the company more able to guarantee the satisfaction of the requirements of its customers and improve its positioning in the market compared to its competitors.
KW - Arena software
KW - Case study
KW - Lean tools
KW - Metal surface treatments
KW - Process management
UR - http://www.scopus.com/inward/record.url?scp=85142871782&partnerID=8YFLogxK
U2 - 10.1016/j.procs.2022.08.017
DO - 10.1016/j.procs.2022.08.017
M3 - Conference article
AN - SCOPUS:85142871782
SN - 1877-0509
VL - 204
SP - 140
EP - 147
JO - Procedia Computer Science
JF - Procedia Computer Science
T2 - 2022 International Conference on Industry Sciences and Computer Science Innovation, iSCSi 2022
Y2 - 9 March 2022 through 11 March 2022
ER -