Jia Yanhe, Zhou Yaoyao, Fu Yaping
School of Economics and Management, Beijing Information Science & Technology University, Beijing, 100192, China.
School of Business, Qingdao University, Qingdao, 266071, China.
Heliyon. 2024 Aug 14;10(16):e36318. doi: 10.1016/j.heliyon.2024.e36318. eCollection 2024 Aug 30.
Production and distribution are critical components of the furniture supply chain, and achieving optimal performance through their integration has become a vital focus for both the academic and business communities. Moreover, as economic globalization progresses, distributed manufacturing has become a pioneering production technique. Via leveraging a distributed flexible manufacturing system, mass flexible production at lower costs can be achieved. To this end, this study presents an integrated distributed flexible job shop and distribution problem to minimize makespan and total tardiness. In our research, a set of custom furniture orders from different customers are processed among flexible job shops and then delivered by vehicles to customers as the due date. To distinctly show the presented problem, a mixed integer mathematical programming model is created, and a multi-objective brain storm optimization method is introduced considering the problem's features. In comparison to the other three advanced methods, the superiority of the algorithm created is showcased. The findings of the experiments demonstrate that the constructed model and the introduced algorithm have remarkable competitiveness in addressing the problem being examined.
生产与配送是家具供应链的关键组成部分，通过整合实现最优绩效已成为学术界和商界的重要关注点。此外，随着经济全球化的推进，分布式制造已成为一种开创性的生产技术。通过利用分布式柔性制造系统，可以实现低成本的大规模柔性生产。为此，本研究提出了一个集成的分布式柔性作业车间与配送问题，以最小化完工时间和总延迟。在我们的研究中，来自不同客户的一组定制家具订单在柔性作业车间中进行加工，然后在截止日期前由车辆运送给客户。为了清晰地展示所提出的问题，创建了一个混合整数数学规划模型，并针对该问题的特点引入了一种多目标头脑风暴优化方法。与其他三种先进方法相比，展示了所创建算法的优越性。实验结果表明，所构建的模型和所引入的算法在解决所研究的问题方面具有显著的竞争力。
