Multi-objective optimization using improved NSGA-II for integrated process planning and scheduling problems in a machining job shop for large-size valve

This paper studied an integrated process planning and scheduling problem from a machining workshop for large-size valves in a valve manufacturing plant. Large-size valves usually contain several key parts and are generally produced in small-series production. Almost all the parts need to be manufact...

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Bibliographic Details
Published in:PloS one 2024-06, Vol.19 (6), p.e0306024
Main Authors: Wang, Junqiang, Xu, Lihua, Sun, Shuangqiu, Ma, Yunfei, Yu, Guofeng
Format: Article
Language:English
Subjects:
Algorithms
Carbon
Case studies
China
Energy consumption
Genetic algorithms
Humans
Information processing
Job shop scheduling
Job shops
Machining
Manufacturing
Manufacturing Industry
Multiple objective analysis
Optimization
Packaging machinery
Process planning
Production costs
Production planning
Scheduling
Valves
Workloads
Workshops
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Summary:This paper studied an integrated process planning and scheduling problem from a machining workshop for large-size valves in a valve manufacturing plant. Large-size valves usually contain several key parts and are generally produced in small-series production. Almost all the parts need to be manufactured in the same workshop at the same time in the plant. Facilities have to handle various items in one order, including different models, sizes, and types. It is a classical NP-hard problem on a large scale. An improved NSGA-II algorithm is suggested to obtain satisfactory solutions for makespan and manufacturing costs, which involve large optimization parameters and interactions. A two-section encoding method and an inserting greedy decoding method are chosen to enable the algorithm. The dynamic population update strategy based on dynamic population update and the adaptive mutation technique depending on the population entropy changing rate are selected for enhancing both the solution quality and population diversity. The methodology was successfully implemented in a real-life case at a major valve machining workshop operated by Yuanda Valve Company in China. By taking into account realistic factors and restrictions that have been identified from a real-world manufacturing setting, this technique aids in bridging the knowledge gap between present IPPS research and practical valve production implementations.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0306024