炎暑将至万物长，日光明媚且张扬。

IJPR，

Volume 64，Issue 1

1.Developing a strategic supply chain resiliency index: an assessment of the global lithium supply for U.S. automotive EV battery production

构建战略供应链韧性指数：对美国汽车电动汽车电池生产全球锂供应的评估

2.Modeling, analysis and improvement of production throughput and energy consumption in Li-ion battery manufacturing lines

锂离子电池生产线生产吞吐量与能耗的建模、分析及优化

3.A data-driven two-stage decision-making model for supplier selection and negotiation-based procurement planning

基于数据驱动的两阶段决策模型：供应商选择与谈判型采购规划

【Abstract】

Data-driven decision-making has become a pivotal approach to enhancing processes in supply chain management (SCM), particularly in complex supplier selection and procurement strategy (SSPS). This study develops a novel data-driven SSPS model integrating multi-objective optimisation and real-world supplier performance data to improve supply chain efficiency, sustainability, and resilience against disruptions. Unlike traditional models focusing on limited or static scenarios, this framework simultaneously considers procurement costs, delivery delays, defect rates, sustainability performance, and disruption risks in multi-product procurement planning. The model employs augmented max–min fuzzy multi-objective linear programming, leveraging historical data to balance conflicting objectives and achieve a globally optimised solution. Furthermore, an innovative supplier negotiation mechanism supported by simulation-based analyses explores capacity adjustments, enabling win-win procurement outcomes. Experimental results show that, through capacity negotiation, procurement orders could be reallocated to only three suppliers instead of four, thereby reducing supplier management complexity. Notably, when the top-performing suppliers agreed to increase capacity by 45%, the average overall procurement performance improved from 81.77% to 88.28%, enhancing all objectives without additional costs. These results also demonstrate meaningful improvements in five objectives without incurring additional procurement costs. The findings underscore the practical potential of data-driven modelling in developing intelligent, sustainable, and resilient procurement decision-making frameworks.

数据驱动的决策已成为提升供应链管理（SCM）流程的关键方法，特别是在复杂的供应商选择与采购策略（SSPS）领域。本研究提出了一种创新的数据驱动型SSPS模型，该模型融合了多目标优化与现实世界的供应商绩效数据，旨在提升供应链的效率、可持续性以及应对中断的韧性。与仅关注有限或静态情景的传统模型不同，该框架在多产品采购规划中同时考虑了采购成本、交货延迟、缺陷率、可持续性绩效及中断风险。该模型采用增强型最大-最小模糊多目标线性规划，利用历史数据平衡相互冲突的目标，从而获得全局最优解。此外，基于仿真分析的创新供应商谈判机制探索了产能调整方案，从而实现双赢的采购结果。实验结果表明，通过产能谈判，采购订单可重新分配给仅三家供应商（而非四家），从而降低了供应商管理的复杂性。值得注意的是，当表现最佳的供应商同意将产能提高45%时，整体采购绩效平均值从81.77%提升至88.28%，在无需额外成本的情况下提升了所有目标指标。这些结果还表明，在不产生额外采购成本的前提下，五个目标指标均实现了显著改善。研究结果凸显了数据驱动建模在构建智能、可持续且具有韧性的采购决策框架方面的实际潜力。

4.Blockchain success in the post-adoption phase: extending the information systems success model with supply chain complexity

区块链技术在采用后阶段的成功：结合供应链复杂性扩展信息系统成功模型

5.Enabling pro-circular behaviours in SMEs: a role-based approach for sustainable metalworking industry

促进中小企业践行循环经济行为：面向可持续金属加工行业的基于角色的方法

6.Digital twin-driven deep reinforcement learning for real-time optimisation in dynamic AGV systems

基于数字孪生的深度强化学习，用于动态AGV系统的实时优化

7.A mean-variance optimisation model for produce export distribution with postponed shipment and market allocation options

针对含延期发货与市场分配选项的农产品出口分销的均值-方差优化模型

8.What if the swans wreaking havoc in supply chains are grey not black?

如果在供应链中制造混乱的“黑天鹅”其实是灰色的，会怎样？

9.A hierarchical Bayesian model for payment delay prediction in supply chain financing

供应链融资中付款延迟预测的分层贝叶斯模型

10.Building resilient closed-loop supply chains: resilience enablers and diversified sourcing under global disruptions

构建韧性闭环供应链：全球性中断背景下的韧性赋能因素与多元化采购

11.Integration strategies for a reverse supply chain with horizontal competitive recycling

具有横向竞争性回收的逆向供应链整合策略

12.Toward lean industry 5.0: a human-centered model for integrating lean and industry 4.0 in an automotive supplier

迈向精益工业5.0：汽车供应商中整合精益与工业4.0的人本主义模型

13.The retail platform’s green packaging strategy: the interplay between government tax policies and environmentally conscious consumers

零售平台的绿色包装战略：政府税收政策与环保意识消费者之间的相互作用

1.Navigating the sustainable Industry 4.0 transformation in supply chains: a systematic review and future research agenda

引领供应链向可持续的工业4.0转型：系统综述与未来研究议程

2.Operations & supply chain management: principles and practice

运营与供应链管理：原理与实践

3.Optimising quality in time-variant systems: a focus on dynamics and heterogeneity

时变系统中的质量优化：聚焦动态性与异质性