Institute of Postgraduate Studies, HUTECH University, Ho Chi Minh City, Vietnam.
Faculty of Management, Ho Chi Minh City University of Law, Ho Chi Minh City, Vietnam.
PLoS One. 2024 Oct 31;19(10):e0305202. doi: 10.1371/journal.pone.0305202. eCollection 2024.
This paper aims to evaluate the performance of logistic distribution centers (LDCs) by Quality Function Deployment (QFD) based on the Best-Worst Method (BWM). The originalities of this paper include: (1) exploring five constructs with 20 customer requirement attributes (CRAs) for LDCs' operations based on the SERQUAL model, (2) using the QFD model to identify five primary divisions and 18 corresponding service technical requirements (STRs) for LDCs' operations, (3) recognizing the top five STRs should be prioritized for the allocation of limited resources from House of Quality (HoQ), including cargo order (7.15%), value-added activities (6.68%), document preparation (6.31%), consolidating and assembling (6.10%), and document management (6.00%), (4) applying the Best-Worst Method (BWM) to estimate CRAs' relative weight. The proposed research model can provide a methodological reference to the relevant literature in association with logistics operations and multiple-criteria decision analysis (MCDA).
本文旨在通过基于最佳-最差方法(Best-Worst Method,BWM)的质量功能配置(Quality Function Deployment,QFD)来评估物流配送中心(Logistic Distribution Centers,LDC)的绩效。本文的创新点包括:(1)基于 SERQUAL 模型,探索了五个具有 20 个客户需求属性(Customer Requirement Attributes,CRAs)的 LDC 运营构建;(2)使用 QFD 模型确定了五个主要的分部和 18 个相应的服务技术要求(Service Technical Requirements,STRs);(3)从质量屋(House of Quality,HoQ)中识别出应优先考虑的五个 STRs,以分配有限的资源,包括货物订单(7.15%)、增值活动(6.68%)、文件准备(6.31%)、整合和组装(6.10%)以及文件管理(6.00%);(4)应用最佳-最差方法(Best-Worst Method,BWM)来估计 CRAs 的相对权重。所提出的研究模型可以为物流运营和多准则决策分析(Multiple-Criteria Decision Analysis,MCDA)相关文献提供方法学参考。