OOIR: Observatory of International Research

Papers

(The H4-Index of International Journal of Production Research is 62. 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 2022-05-01 to 2026-05-01.)

Article	Citations
Optimal extended warranty pricing and retailing strategies in a closed-loop supply chain	613
Opportunistic maintenance optimisation for offshore wind farm with considering random wind speed	293
An intelligent matching recommendation algorithm for a manufacturing capacity sharing platform with fairness concerns	258
Smart charging with demand response and energy peak shaving for reefer containers with Internet-of-Things	250
Αn AI-driven approach to assess sentiments and interpret context in a critical mineral supply chain	233
Knowledge obstacles when transitioning towards circular economy: an industrial intra-organisational perspective	217
Supply chain cybersecurity investments with interdependent risks under different information exchange modes	213
Quantitative insights into the integrated push and pull production problem for lean supply chain planning 4.0	201
Balancing profitability and waste reduction: optimizing markdown policies for retail inventory	188
Catastrophe insurance and flexible planning for supply chain disruption management: a stochastic simulation case study	158
A decision support framework on simulation fidelity for transferable and autonomously optimised swarm behaviour	151
Special issue on collaborative production and maintenance in the environment of big data and industry 4.0	148
Integrated optimisation of delivery and installation operations in home appliance last-mile logistics	138
IoT-based milk-run routing for manufacturing system: an application case in an automotive company	133
Exploring modularity's effects on process efficiency in single assembly line balancing	129
A hybrid LSTM method for forecasting demands of medical items in humanitarian operations	125
A multi-agent resource bidding algorithm for order acceptance and assembly job shop scheduling	124
Resilient agricultural biomass supply chain network design with uncertain disruptions: a data-driven globalised robust optimisation approach	119
Consumer service level-oriented resilience optimisation for e-commerce supply chain considering hybrid strategies with blockchain adoption	118
A reinforcement learning-based approach for solving multi-agent job shop scheduling problem	115
Multi-period replenishment planning with supplier assignment under a dynamic demand and stochastic lead-times	109
Infrastructure planning of intra-city battery swapping stations considering demand uncertainty: a multi-pattern based distributionally robust approach	106
Mathematical modelling of carbon emissions and process parameters optimisation for laser welding cell	106
Strategic decision-making for sustainable production and distribution in automotive industry: a machine learning enabled dynamic multi-objective optimisation	106
The paradigm shift of mass customisation research	96

Exploring blockchain technologies in sustainable supply chains – unveiling the latent research topics using an AI approach	96
Electric vehicle adoption in logistics supply chain	94
Information sharing and confidentiality: a federated multi-agent reinforcement learning approach for supply chain coordination	94
Attractiveness factors in retail category space location-allocation problem	93
Optimal dynamic pricing strategy for non-durable experience goods: the role of consumer AI learning	93
An analytical method for investigating multi-tier sustainable supply chains: simplifying the complex	86
A reinforcement learning driven two-stage evolutionary optimisation for hybrid seru system scheduling with worker transfer	85
Human-centred AI in industry 5.0: a systematic review	84
An overview on human-centred technologies, measurements and optimisation in assembly systems	84
Energy-efficient production control of a make-to-stock system with buffer- and time-based policies	83
Implementation of digital twins in the food supply chain: a review and conceptual framework	82
Toward efficient waste electric vehicle battery recycling via auction-based market trading mechanisms	82
The influence of carbon emission reduction instruments on blockchain technology adoption in recycling batteries of the new energy vehicles	80
A port-hinterland hub network design method for reefer containers considering time-varying demands and diverse supporting service requirements	77
Rolling horizon policies for multi-stage stochastic assemble-to-order problems	77
A constraint programming approach to a real-world workforce scheduling problem for multi-manned assembly lines with sequence-dependent setup times	76
Assignment strategy and lane depth in homogeneous multi-deep shuttle-based S/R systems	76
Enabling industrial internet of things-based digital servitization in smart production logistics	75
A two-stage stochastic programming model and parallel Master–Slave adaptive GA for flexible Seru system formation	74
Product family formation based on optimal resource sequence for reconfigurable manufacturing system	74
Deep reinforcement learning for solving steelmaking-continuous casting scheduling problems under time-of-use tariffs	73
Minimising total weighted completion time for semi-online single machine scheduling with known arrivals and bounded processing times	72
Robust emergency relief supply allocation with supplier selection and inventory pre-positioning	71
Using Tobit exponential smoothing to enhance demand planning in the presence of censored data	70
Improving asset management capabilities: a novel decision support system for maturity assessment	70
Complex network-based storage assignment strategy for item communities	70
Industrial processes and the smart grid: overcoming the variability of renewables by using built-in process storage and intelligent control strategies	69
Multi-objective metaheuristic approach for balancing and scheduling human-robot collaborative assembly lines with cognitive and ergonomic considerations	69
A three-step approach for decision support in operational production planning of complex manufacturing systems	67
Hierarchical multi-agent deep reinforcement learning for dynamic flexible job-shop scheduling with transportation	67
Retailing and ordering strategies for online apparel retailers facing bracketing purchase behaviour	67
An integrated multi-objective approach to collaborative disassembly line balancing and planning with TAOG-based modelling	66
Sustainability meets service procurement: a case study in the ICT service sector	66
A digital twin-based cyber-physical system for resilient short-term equipment leasing	65
Towards trustworthy AI for link prediction in supply chain knowledge graph: a neurosymbolic reasoning approach	65
Deploying hybrid modelling to support the development of a digital twin for supply chain master planning under disruptions	63
Improved formulations of the joint order batching and picker routing problem	63
An efficient and adaptive design of reinforcement learning environment to solve job shop scheduling problem with soft actor-critic algorithm	62