International Journal of Production Research

Papers
(The H4-Index of International Journal of Production Research is 55. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-09-01 to 2024-09-01.)
ArticleCitations
The applications of Industry 4.0 technologies in manufacturing context: a systematic literature review374
Supply Chain Viability and the COVID-19 pandemic: a conceptual and formal generalisation of four major adaptation strategies242
Machine learning in manufacturing and industry 4.0 applications223
The Industry 5.0 framework: viability-based integration of the resilience, sustainability, and human-centricity perspectives197
Ripple effect and supply chain disruption management: new trends and research directions191
5G in digital supply chain and operations management: fostering flexibility, end-to-end connectivity and real-time visibility through internet-of-everything158
Barriers to the adoption of blockchain technology in business supply chains: a total interpretive structural modelling (TISM) approach145
Learning to schedule job-shop problems: representation and policy learning using graph neural network and reinforcement learning141
Zero-defect manufacturing the approach for higher manufacturing sustainability in the era of industry 4.0: a position paper138
Antecedents and consequences of supply chain risk management capabilities: an investigation in the post-coronavirus crisis136
One-to-one relationships between Industry 4.0 technologies and Lean Production techniques: a multiple case study136
An investigation of information alignment and collaboration as complements to supply chain agility in humanitarian supply chain118
Artificial intelligence (AI) in augmented reality (AR)-assisted manufacturing applications: a review116
Linkages between big data analytics, circular economy, sustainable supply chain flexibility, and sustainable performance in manufacturing firms116
Building supply-chain resilience: an artificial intelligence-based technique and decision-making framework113
Multi-objective robust optimisation model for MDVRPLS in refined oil distribution111
The emergence of cognitive digital twin: vision, challenges and opportunities106
Big Data in operations and supply chain management: a systematic literature review and future research agenda102
Blockchain in food supply chains: a literature review and synthesis analysis of platforms, benefits and challenges98
Critical success factors influencing artificial intelligence adoption in food supply chains95
Designing a blockchain enabled supply chain94
Deep reinforcement learning in production systems: a systematic literature review94
Reconfigurable manufacturing systems from an optimisation perspective: a focused review of literature92
The impact of flexibility and redundancy on improving supply chain resilience to disruptions91
An analysis of strategies for adopting blockchain technology in the fresh product supply chain90
Industry 4.0 triggered by Lean Thinking: insights from a systematic literature review88
Evaluating barriers and solutions for social sustainability adoption in multi-tier supply chains82
The role of artificial intelligence in supply chain management: mapping the territory82
Industry 4.0 technologies as enablers of collaboration in circular supply chains: a systematic literature review80
Research opportunities in preparing supply chains of essential goods for future pandemics80
Coordination of a supply chain with an online platform considering green technology in the blockchain era78
Digital twin design for real-time monitoring – a case study of die cutting machine77
Data-driven secure, resilient and sustainable supply chains: gaps, opportunities, and a new generalised data sharing and data monetisation framework76
A review on reinforcement learning algorithms and applications in supply chain management71
Integrating Internet of Things and multi-temperature delivery planning for perishable food E-commerce logistics: a model and application71
Blockchain technology in maritime supply chains: applications, architecture and challenges70
A robust location-inventory model for food supply chains operating under disruptions with ripple effects70
Artificial intelligence-driven risk management for enhancing supply chain agility: A deep-learning-based dual-stage PLS-SEM-ANN analysis70
Deep reinforcement learning for dynamic scheduling of a flexible job shop70
Facility layout planning. An extended literature review69
The impact of information sharing on supply chain learning and flexibility performance68
Smart city for sustainable urban freight logistics66
A machine learning approach for predicting hidden links in supply chain with graph neural networks66
Workforce reconfiguration strategies in manufacturing systems: a state of the art65
Human-centric artificial intelligence architecture for industry 5.0 applications65
A multi-layer Bayesian network method for supply chain disruption modelling in the wake of the COVID-19 pandemic63
The role of Artificial Intelligence networks in sustainable supply chain finance for foodand drink industry62
Financial performance and supply chain dynamic capabilities: the Moderating Role of Industry 4.0 technologies62
The influence of digital transformation on low-carbon operations management practices and performance: does CEO ambivalence matter?61
Design and management of assembly systems 4.0: systematic literature review and research agenda61
Visualisation of ripple effect in supply chains under long-term, simultaneous disruptions: a system dynamics approach60
Production and operations management for intelligent manufacturing: a systematic literature review60
COVID-19 as a trigger for dynamic capability development and supply chain resilience improvement60
A model integrating lean and green practices for viable, sustainable, and digital supply chain performance59
The shortage economy and its implications for supply chain and operations management58
Potentials and challenges of augmented reality smart glasses in logistics and supply chain management: a systematic literature review55
State of the art, conceptual framework and simulation analysis of the ripple effect on supply chains55
Demonstration of a blockchain-based framework using smart contracts for supply chain collaboration55
Towards AI driven environmental sustainability: an application of automated logistics in container port terminals55
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