物流配送中心的绩效模型:基于最佳-最差方法的质量功能部署
Le Ngo Ngoc Thu1, Long Van Hoang2, Quynh Manh Doan3,4
1Institute of Postgraduate Studies, HUTECH University, Ho Chi Minh City, Vietnam.
PloS one
|October 31, 2024
概括
本研究使用质量功能部署和最佳-最差方法评估物流配送中心. 它确定了优化物流运营和资源分配的关键服务要求.
科学领域:
- 运营研究 运营研究
- 物流管理物流管理
- 质量管理质量管理.
背景情况:
- 物流配送中心 (LDC) 对供应链效率至关重要.
- 评估LDC业绩需要强大的方法来解决复杂的客户需求.
- 现有的模型可能无法完全捕捉到LDC运营的细微要求.
研究的目的:
- 通过混合质量功能部署 (QFD) 和最佳-最差方法 (BWM) 方法评估物流配送中心 (LDC) 的性能.
- 确定和优先考虑关键客户要求属性 (CRA) 和服务技术要求 (STR) 对于LDC运营.
- 为提高最不发达国家绩效和资源分配提供一个方法框架.
主要方法:
- 采用SERQUAL模型为最不发达国家定义五个构造和20个客户需求属性 (CRA).
- 利用质量功能部署 (QFD) 建立了五个主要部门和18个服务技术要求 (STR).
- 应用最佳-最差方法 (BWM) 来确定CRA的相对权重并确定优先的STR.
主要成果:
- 确定了最不发达国家资源分配的前五个优先考虑的STR:货物订单 (7.15%),增值活动 (6.68%),文档准备 (6.31%),整合和组装 (6.10%),以及文档管理 (6.00%).
- 通过BWM分析量化了客户需求属性的相对重要性.
- 开发了一种质量之家 (HoQ) 矩阵,将客户需求与技术要求联系起来.
结论:
- 集成的QFD-BWM模型提供了一种系统的方法来评估和改进最不发达国家的绩效.
- 优先考虑特定的服务技术要求,如货物订单和增值活动,对于有效的资源配置至关重要.
- 这项研究为物流运营和多重标准决策分析提供了宝贵的参考.
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