International Journal of Production Research

Papers
(The H4-Index of International Journal of Production Research is 60. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
Exploring modularity's effects on process efficiency in single assembly line balancing691
Special issue on collaborative production and maintenance in the environment of big data and industry 4.0372
Αn AI-driven approach to assess sentiments and interpret context in a critical mineral supply chain287
Resilient agricultural biomass supply chain network design with uncertain disruptions: a data-driven globalised robust optimisation approach265
A decision support framework on simulation fidelity for transferable and autonomously optimised swarm behaviour262
IoT-based milk-run routing for manufacturing system: an application case in an automotive company259
Infrastructure planning of intra-city battery swapping stations considering demand uncertainty: a multi-pattern based distributionally robust approach223
The role of the Industry 4.0 technologies for Industry 5.0 development in small and medium enterprises219
Energy-efficient production control of a make-to-stock system with buffer- and time-based policies187
A multi-level modelling approach for magnesium-carbon brick die-casting digital twin workshop oriented to production anomaly detection168
A reinforcement learning driven two-stage evolutionary optimisation for hybrid seru system scheduling with worker transfer155
Quantitative insights into the integrated push and pull production problem for lean supply chain planning 4.0153
Construction and application of a multimodal knowledge graph for machining deformation uncertainty analysis149
Optimal dynamic pricing strategy for non-durable experience goods: the role of consumer AI learning145
Information sharing and confidentiality: a federated multi-agent reinforcement learning approach for supply chain coordination144
Electric vehicle adoption in logistics supply chain137
Balancing profitability and waste reduction: optimizing markdown policies for retail inventory126
Integrated optimisation of delivery and installation operations in home appliance last-mile logistics121
An overview on human-centred technologies, measurements and optimisation in assembly systems119
The influence of carbon emission reduction instruments on blockchain technology adoption in recycling batteries of the new energy vehicles113
A scheduling problem in a reconfigurable manufacturing system with stochastic worker availability: a hybrid L-shaped decomposition method112
A reinforcement learning-based approach for solving multi-agent job shop scheduling problem108
Knowledge obstacles when transitioning towards circular economy: an industrial intra-organisational perspective107
An intelligent matching recommendation algorithm for a manufacturing capacity sharing platform with fairness concerns107
Relief resource allocation with time restrictions in dual reserve humanitarian supply chain103
Supply chain cybersecurity investments with interdependent risks under different information exchange modes103
A multi-agent resource bidding algorithm for order acceptance and assembly job shop scheduling99
An analytical method for investigating multi-tier sustainable supply chains: simplifying the complex97
Toward efficient waste electric vehicle battery recycling via auction-based market trading mechanisms97
A hybrid LSTM method for forecasting demands of medical items in humanitarian operations94
Catastrophe insurance and flexible planning for supply chain disruption management: a stochastic simulation case study92
Attractiveness factors in retail category space location-allocation problem92
Strategic decision-making for sustainable production and distribution in automotive industry: a machine learning enabled dynamic multi-objective optimisation90
Consumer service level-oriented resilience optimisation for e-commerce supply chain considering hybrid strategies with blockchain adoption88
Implementation of digital twins in the food supply chain: a review and conceptual framework87
Human-centred AI in industry 5.0: a systematic review87
Exploring blockchain technologies in sustainable supply chains – unveiling the latent research topics using an AI approach86
Smart charging with demand response and energy peak shaving for reefer containers with Internet-of-Things86
Multi-period replenishment planning with supplier assignment under a dynamic demand and stochastic lead-times81
Rolling horizon policies for multi-stage stochastic assemble-to-order problems81
Opportunistic maintenance optimisation for offshore wind farm with considering random wind speed81
Complex network-based storage assignment strategy for item communities80
Sustainability meets service procurement: a case study in the ICT service sector79
A digital twin-based cyber-physical system for resilient short-term equipment leasing77
A state-of-art review and a simple meta-analysis on deterministic scheduling of diffusion furnaces in semiconductor manufacturing77
Land layout optimisation for virtual land sales in the metaverse: two-dimensional assortment problem76
AI-driven dynamic pricing for high-value assets in manufacturing and services: optimizing finite horizon sales with demand sensitivity75
Product family formation based on optimal resource sequence for reconfigurable manufacturing system75
Assignment strategy and lane depth in homogeneous multi-deep shuttle-based S/R systems73
Blockchain-enabled horizontal capacity sharing under demand uncertainty72
A graph-based approach for integrating massive data in container terminals with application to scheduling problem72
A novel approach for predicting Lockout/Tagout safety procedures for smart maintenance strategies71
A port-hinterland hub network design method for reefer containers considering time-varying demands and diverse supporting service requirements68
Stochastic modelling and analysis of a deteriorating serial production–inventory network68
A constraint programming approach to a real-world workforce scheduling problem for multi-manned assembly lines with sequence-dependent setup times63
Towards trustworthy AI for link prediction in supply chain knowledge graph: a neurosymbolic reasoning approach62
Using Tobit exponential smoothing to enhance demand planning in the presence of censored data62
A fair distribution of expected profit in a supply chain with a risk-averse manufacturer61
Minimising total weighted completion time for semi-online single machine scheduling with known arrivals and bounded processing times60
Improving asset management capabilities: a novel decision support system for maturity assessment60
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