Abstract:
In order to achieve the personalized customization of intelligent manufacturing systems and make full use of manufacturing resources for efficient and low-cost production...Show MoreMetadata
Abstract:
In order to achieve the personalized customization of intelligent manufacturing systems and make full use of manufacturing resources for efficient and low-cost production, a method for the rational configuration of machine and worker resources in the production workshop is proposed in this paper. Firstly, a multi-objective optimization mathematical model for resource allocation problems is designed. Satisfactory configuration solutions for multi-objective optimization problems are obtained using an improved differential evolution algorithm. Furthermore, taking into account the actual situations in production, such as urgent orders and machine failures, to achieve a dynamic allocation of workshop resources. Finally, through case analysis, the method proposed in this article is compared with NSGA-II and random generation methods, verifying that the resource allocation method proposed in this article can effectively organize workshop production reasonably and efficiently, achieving efficient and low-cost production.
Date of Conference: 26-30 August 2023
Date Added to IEEE Xplore: 28 September 2023
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- IEEE Keywords
- Index Terms
- Resource Allocation ,
- Manufacturing Systems ,
- Intelligent Manufacturing ,
- Flexible Resource Allocation ,
- Intelligent Manufacturing Systems ,
- Efficient Production ,
- Random Method ,
- Multi-objective Optimization ,
- Low Production Cost ,
- Productive Resources ,
- Multi-objective Optimization Problem ,
- Resource Allocation Problem ,
- Differential Evolution Algorithm ,
- Dynamic Resource Allocation ,
- Resource Allocation Method ,
- Production Process ,
- Information Technology ,
- Production Costs ,
- Mutation Rate ,
- Local Optimum ,
- Processing Cost ,
- Production Task ,
- NSGA-II Algorithm ,
- Processing Tasks ,
- Solutions In Set ,
- Specific Machine ,
- Installation Costs ,
- Non-dominated Solutions ,
- Crossover Rate ,
- Pareto Solutions
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Resource Allocation ,
- Manufacturing Systems ,
- Intelligent Manufacturing ,
- Flexible Resource Allocation ,
- Intelligent Manufacturing Systems ,
- Efficient Production ,
- Random Method ,
- Multi-objective Optimization ,
- Low Production Cost ,
- Productive Resources ,
- Multi-objective Optimization Problem ,
- Resource Allocation Problem ,
- Differential Evolution Algorithm ,
- Dynamic Resource Allocation ,
- Resource Allocation Method ,
- Production Process ,
- Information Technology ,
- Production Costs ,
- Mutation Rate ,
- Local Optimum ,
- Processing Cost ,
- Production Task ,
- NSGA-II Algorithm ,
- Processing Tasks ,
- Solutions In Set ,
- Specific Machine ,
- Installation Costs ,
- Non-dominated Solutions ,
- Crossover Rate ,
- Pareto Solutions