TY - GEN
T1 - Robust Follow-Up Sequencing Algorithm
AU - Bysko, Sara
AU - Bysko, Szymon
AU - Krystek, Jolanta
AU - Głodek, Łukasz
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - The paper presents the continuation of work carried out over the last few years on development of an effective algorithm for sequencing cars in the paint shop. One of the proposed algorithms is based on the follow-up production control algorithm. The article focuses in particular on the verification of the impact of selected parameters, both production and technological, on the effectiveness of the considered sequencing algorithm. The following parameters were used as part of the research: periodic cleaning period value affecting the quality of the sequencing process, length of the production plan, which is taken into account when determining the priorities of individual body colors by the sequencing algorithm, and distribution of car colors. The aim of the conducted research was to determine whether this algorithm is resistant to the change of the examined parameters. Such research is important from the point of view of possibility of applying following algorithm in a real factory.
AB - The paper presents the continuation of work carried out over the last few years on development of an effective algorithm for sequencing cars in the paint shop. One of the proposed algorithms is based on the follow-up production control algorithm. The article focuses in particular on the verification of the impact of selected parameters, both production and technological, on the effectiveness of the considered sequencing algorithm. The following parameters were used as part of the research: periodic cleaning period value affecting the quality of the sequencing process, length of the production plan, which is taken into account when determining the priorities of individual body colors by the sequencing algorithm, and distribution of car colors. The aim of the conducted research was to determine whether this algorithm is resistant to the change of the examined parameters. Such research is important from the point of view of possibility of applying following algorithm in a real factory.
KW - Automotive paint shop
KW - Car Sequencing Problem 4.0
KW - Follow-up production control
KW - Sequencing
UR - https://www.scopus.com/pages/publications/85106403653
U2 - 10.1007/978-3-030-74893-7_11
DO - 10.1007/978-3-030-74893-7_11
M3 - Conference contribution
AN - SCOPUS:85106403653
SN - 9783030748920
T3 - Advances in Intelligent Systems and Computing
SP - 106
EP - 116
BT - Automation 2021
A2 - Szewczyk, Roman
A2 - Zieliński, Cezary
A2 - Kaliczyńska, Małgorzata
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference on Automation, AUTOMATION 2021
Y2 - 18 March 2021 through 19 March 2021
ER -