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International Journal of Production Research, Volume 64, Issue 2, 15 January 2026 is now available online
https://www.tandfonline.com/toc/tprs20/64/2
AI-Enabled Evolution: Unveiling the Synergy between Manufacturing and Services through Coordination and Integration
Editorial
Editorial
AI-enabled evolution: unveiling the synergy between manufacturing and services through coordination and integration
Yunqiang Yin
,
Feng Chu
,
Alexandre Dolgui
,
Dujuan Wang
,
Joshua Ignatius
&
Jayanth Jayaram
Pages: 539-544
Published online:
18 Dec 2025
Abstract
for AI-enabled evolution: unveiling the synergy between manufacturing and services through coordination and integration
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Research Articles
Article
Building AI-enabled capabilities for improved environmental and manufacturing performance: evidence from the US and the UK
Samuel Fosso-Wamba
,
Cameron Guthrie
,
Maciel M. Queiroz
&
Adegboyega Oyedijo
Pages: 545-564
Published online:
20 Nov 2024
Abstract
for Building AI-enabled capabilities for improved environmental and manufacturing performance: evidence from the US and the UK
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Article
The potential of AI-enabled quality control facing high inspection standard in resilient cross-border operations
Baozhuang Niu
,
Jian Dong
&
Fengfeng Xie
Pages: 565-583
Published online:
04 Sep 2024
Abstract
for The potential of AI-enabled quality control facing high inspection standard in resilient cross-border operations
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1021
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Article
AI-driven dynamic pricing for high-value assets in manufacturing and services: optimizing finite horizon sales with demand sensitivity
Meilan Chen
,
Xiangling Hu
,
Yuan Qi
&
Donato Masi
Pages: 584-596
Published online:
09 Dec 2024
Abstract
for AI-driven dynamic pricing for high-value assets in manufacturing and services: optimizing finite horizon sales with demand sensitivity
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Article
Optimal investment in artificial intelligence-driven production activities considering socio-economic concerns
Soumyatanu Mukherjee
,
Mohammed Nawazish
,
Sidhartha S. Padhi
&
Jayanth Jayaram
Pages: 597-621
Published online:
18 Nov 2024
Abstract
for Optimal investment in artificial intelligence-driven production activities considering socio-economic concerns
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Article
A hybrid niching memetic algorithm for multi-modal optimization of double row layout problem
Xing Wan
,
Xingquan Zuo
,
Tianbo Lu
&
Gang Chen
Pages: 622-641
Published online:
03 Oct 2024
Abstract
for A hybrid niching memetic algorithm for multi-modal optimization of double row layout problem
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Article
Theory of AI-driven scheduling (TAIS): a service-oriented scheduling framework by integrating theory of constraints and AI
Marzieh Khakifirooz
,
Michel Fathi
&
Alexandre Dolgui
Pages: 642-676
Published online:
06 Nov 2024
Abstract
for Theory of AI-driven scheduling (TAIS): a service-oriented scheduling framework by integrating theory of constraints and AI
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Article
Delivery routing for a mixed fleet of conventional and electric vehicles with road restrictions
Hongguang Ma
,
Rongchao Yang
&
Xiang Li
Pages: 677-700
Published online:
11 Mar 2024
Abstract
for Delivery routing for a mixed fleet of conventional and electric vehicles with road restrictions
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Article
Evaluating risk in perishable-food manufacturing and logistics services from the view of human-AI synergy
Sha-lei Zhan
,
Xiangdong Jiang
,
Chi To Ng
&
Venus Y.H. Lun
Pages: 701-718
Published online:
21 Jan 2025
Abstract
for Evaluating risk in perishable-food manufacturing and logistics services from the view of human-AI synergy
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Article
Large-scale dynamic surgical scheduling under uncertainty by hierarchical reinforcement learning
Lixiang Zhao
,
Han Zhu
,
Min Zhang
,
Jiafu Tang
&
Yu Wang
Pages: 719-750
Published online:
14 Jun 2024
Abstract
for Large-scale dynamic surgical scheduling under uncertainty by hierarchical reinforcement learning
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Article
Multi-objective scheduling of cloud-edge cooperation in distributed manufacturing via multi-agent deep reinforcement learning
Peng Guo
,
Haichao Shi
,
Yi Wang
&
Jianyu Xiong
Pages: 751-775
Published online:
18 Mar 2024
Abstract
for Multi-objective scheduling of cloud-edge cooperation in distributed manufacturing via multi-agent deep reinforcement learning
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Full Access
Posted on 2026-01-05 by
Sarah Fores