TY - JOUR
T1 - Utilizing Lean Six Sigma and Waste Assessment Model to Reduce Waste in the Hot Rolled Coil Production
AU - Kusumawardani, Rindi
AU - Supriyanto, Hari
AU - Suryanto, Muhammad Rinaldi
N1 - Publisher Copyright:
© 2024 EDP Sciences. All rights reserved.
PY - 2024/4/15
Y1 - 2024/4/15
N2 - The global steel industry is pivotal, driven by substantial demand. In Indonesia, a leading steel manufacturing company, boasting significant production capacities for Hot Rolled Coil (HRC) and Cold Rolled Coil (CRC) products, with capacities of 2,400,000 and 850,000 tons per year. However, current production lags at 1,500,000 and 500,000 tons annually for HRC and CRC. Notably, the production process recorded defect ratios of 15.85%, 15.65%, and 15.56% from 2020 to 2022, with waste waiting accounting for a breakdown time and operating time ratio of ±40%. The study employs Lean Six Sigma to analyze and mitigate waste during HRC production, aiming to augment product value, production efficiency, and cost reduction. Through Value Stream Mapping and Process Activity Mapping, 44.93% of Necessary Not Value- Added Activities (NNVA). In the next stage, critical wastes including waste defects, overproduction, and waiting are selected using the Waste Assessment Model. The Analysis stage employs fishbone diagrams and Failure Mode and Effect Analysis to determine root causes and assess risk. Proposed improvements include toolbox meetings, maintenance scheduling, check sheets, a work roll replacement algorithm, and sensor adjustments, projected to raise sigma values significantly for waste defects, overproduction, and waiting.
AB - The global steel industry is pivotal, driven by substantial demand. In Indonesia, a leading steel manufacturing company, boasting significant production capacities for Hot Rolled Coil (HRC) and Cold Rolled Coil (CRC) products, with capacities of 2,400,000 and 850,000 tons per year. However, current production lags at 1,500,000 and 500,000 tons annually for HRC and CRC. Notably, the production process recorded defect ratios of 15.85%, 15.65%, and 15.56% from 2020 to 2022, with waste waiting accounting for a breakdown time and operating time ratio of ±40%. The study employs Lean Six Sigma to analyze and mitigate waste during HRC production, aiming to augment product value, production efficiency, and cost reduction. Through Value Stream Mapping and Process Activity Mapping, 44.93% of Necessary Not Value- Added Activities (NNVA). In the next stage, critical wastes including waste defects, overproduction, and waiting are selected using the Waste Assessment Model. The Analysis stage employs fishbone diagrams and Failure Mode and Effect Analysis to determine root causes and assess risk. Proposed improvements include toolbox meetings, maintenance scheduling, check sheets, a work roll replacement algorithm, and sensor adjustments, projected to raise sigma values significantly for waste defects, overproduction, and waiting.
UR - http://www.scopus.com/inward/record.url?scp=85192517226&partnerID=8YFLogxK
U2 - 10.1051/e3sconf/202451714003
DO - 10.1051/e3sconf/202451714003
M3 - Conference article
AN - SCOPUS:85192517226
SN - 2267-1242
VL - 517
JO - E3S Web of Conferences
JF - E3S Web of Conferences
M1 - 14003
T2 - 10th International Conference on Engineering, Technology, and Industrial Application, ICETIA 2023
Y2 - 7 December 2023 through 8 December 2023
ER -