TY - JOUR
T1 - Truck Assembly Line Reconfiguration to Reduce Cycle Time with Lean Manufacturing Approach in the Indonesian Automotive Industry
AU - Yudhatama, J.
AU - Hakim, I. M.
N1 - Funding Information:
This work is supported by the 2020 PUTI Proceeding Grants funded by DRPM Universitas Indonesia Number: NKB-1147/UN2.RST/HKP.05.00/2020.
Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/12/28
Y1 - 2020/12/28
N2 - The automotive industry is one of the industries that plays a major role in Indonesia's revenue sources, one of which is in meeting daily needs, especially for transportation and logistics. This causes the growth of truck production targets each year and has become one of Indonesia's focus to target 1.29 million trucks produced in 2020. This study aims to minimize production time with the optimal number of workstations to minimize costs that will come out for increasing production capacity in truck assembly lines in Indonesia. The study was conducted with a lean manufacturing approach to analyze the waste contained in the assembly line. The study began by calculating time for each work using the time study method. The time obtained is then inputted to the mixed integer linear programming mathematical programming model developed in the LINGO 17.0 software. The result of data processing in the LINGO 17.0 software is the allocation of each job to the new workstation to get the production cycle time in accordance with the production takt time, and also the total idle time of the new assembly line.
AB - The automotive industry is one of the industries that plays a major role in Indonesia's revenue sources, one of which is in meeting daily needs, especially for transportation and logistics. This causes the growth of truck production targets each year and has become one of Indonesia's focus to target 1.29 million trucks produced in 2020. This study aims to minimize production time with the optimal number of workstations to minimize costs that will come out for increasing production capacity in truck assembly lines in Indonesia. The study was conducted with a lean manufacturing approach to analyze the waste contained in the assembly line. The study began by calculating time for each work using the time study method. The time obtained is then inputted to the mixed integer linear programming mathematical programming model developed in the LINGO 17.0 software. The result of data processing in the LINGO 17.0 software is the allocation of each job to the new workstation to get the production cycle time in accordance with the production takt time, and also the total idle time of the new assembly line.
UR - http://www.scopus.com/inward/record.url?scp=85098863026&partnerID=8YFLogxK
U2 - 10.1088/1757-899X/1003/1/012101
DO - 10.1088/1757-899X/1003/1/012101
M3 - Conference article
AN - SCOPUS:85098863026
SN - 1757-8981
VL - 1003
JO - IOP Conference Series: Materials Science and Engineering
JF - IOP Conference Series: Materials Science and Engineering
IS - 1
M1 - 012101
T2 - 2nd International Conference on Industrial and Manufacturing Engineering, ICI and ME 2020
Y2 - 3 September 2020 through 4 September 2020
ER -