A Collaborative Resequencing Optimization Method for Multi-stage Automotive Production Line Considering Emergency order

In multi-stage automotive production lines (MSAPLs), unforeseen disturbance events such as emergency order can disturb the initial production plan, leading to higher production cost and order delivery delay. To address this issue, an emergency order-oriented collaborative resequencing optimization m...

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Bibliographic Details
Published in:Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics pp. 1224 - 1229
Main Authors: Zhang, Jing, Li, Congbo, Tang, Ying, Yang, Miao, Zhao, De
Format: Conference Proceeding
Language:English
Published: IEEE 09.10.2022
Subjects:
Collaboration
collaborative resequencing
Costs
Delays
emergency order
improved multi-objective particle swarm optimization algorithm (MOPSO)
Manufacturing
Mathematical models
multi-stage automotive production line (MSAPL)
Optimization methods
Production
ISSN:2577-1655
Online Access:Get full text
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Summary:In multi-stage automotive production lines (MSAPLs), unforeseen disturbance events such as emergency order can disturb the initial production plan, leading to higher production cost and order delivery delay. To address this issue, an emergency order-oriented collaborative resequencing optimization method for MSAPL based on improved multi-objective particle swarm optimization algorithm (MOPSO) is proposed in this paper. First, a resequencing strategy is proposed for automotive orders based on their production status. Then, a collaborative resequencing mathematical model for MSAPL that selects the production cost and order delivery delay as the objectives is established, and an improved MOPSO is developed to optimize the mathematical model. Finally, a case study is implemented by citing a MSAPL as the example, which verifies the effectiveness and superiority of the proposed method.
ISSN:2577-1655
DOI:10.1109/SMC53654.2022.9945428