摘要
分享经济作为新业态,为制造业高质量转型升级提供了新途径。分享制造中,生产资源配置优化是其核心问题。本文研究了分享经济下个性化产品生产资源配置优化问题。建立了生产资源配置总成本和产品交付期最小化的多目标优化模型。提出采用ε-约束法的多目标求解算法,求解分享经济下生产资源调度问题的帕累托边界(Pareto Front)。采用C++ Cplex编程实现了该多目标优化算法。最后,通过案例验证了该算法的有效性。数值实验表明,所提出的多目标优化算法能够在合理的时间内求解实际的分享制造中的生产资源调度问题。
As a new form of business, sharing economy provides a new way for high-quality transformation and upgrading of manufacturing industry. In shared manufacturing, the allocation optimization of manufacturing resource sharing is the core problem. This paper studies the optimization of production resource allocation for personalized products in sharing economy. A multi-objective optimization model is established to minimize the total cost of production resource allocation and product delivery time;An ε-constrained multi-objective algorithm is proposed to solve the Pareto front of the production resource scheduling problem under the sharing economy. The multi-objec- tive optimization algorithm is implemented by C++ CPLEX programming. Finally, the effectiveness of the algorithm is verified by a case. Numerical experiments show that the proposed multi-objective optimization algorithm can solve the actual production resource scheduling problem in shared manufacturing in a reasonable time.
出处
《管理科学与工程》
2021年第2期135-145,共11页
Management Science and Engineering