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Data-driven logistics collaboration for prefabricated supply chain with multiple factories
Automation in Construction ( IF 9.6 ) Pub Date : 2024-10-04 , DOI: 10.1016/j.autcon.2024.105802
Yishu Yang, Ying Yu, Chenglin Yu, Ray Y. Zhong

Prefabricated construction is increasingly replacing traditional methods due to its higher productivity, superior quality, and shorter construction time. This paper aims to optimize production and logistics collaboration within a three-tier prefabricated supply chain network to reduce overall costs and enhance response efficiency. A decision model was developed that integrates factory and logistics capacity, on-site assembly sequence, and outsourcing decisions to optimize resource allocation. The model demonstrates superior cost efficiency and resource allocation effectiveness over the Earliest Due Date (EDD) method through a hypothetical case study. This result provides robust decision support for supply chain professionals, offering significant practical implications for cost reduction and resource optimization. Our findings lay a foundation for future studies on supply chain management and optimization under dynamic conditions, offering new perspectives and methodologies.

中文翻译:


与多个工厂的预制供应链的数据驱动型物流协作



预制建筑由于其更高的生产力、卓越的质量和更短的施工时间,正越来越多地取代传统方法。本文旨在优化三层预制供应链网络内的生产和物流协作,以降低总体成本并提高响应效率。开发了一个决策模型,该模型集成了工厂和物流能力、现场装配顺序和外包决策,以优化资源分配。该模型通过假设案例研究证明了与最早到期日 (EDD) 方法相比,具有卓越的成本效益和资源分配有效性。这一结果为供应链专业人士提供了强大的决策支持,为降低成本和优化资源提供了重要的实际意义。我们的研究结果为未来动态条件下供应链管理和优化的研究奠定了基础,提供了新的视角和方法。
更新日期:2024-10-04
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