https://orcid.org/0000-0003-3002-4110
Citations (28)
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Sokolov Boris, Ushakov Vitaly & Zakharov Valerii. (2024) Optimal planning and scheduling of information processes during interaction among mobile objects. International Journal of Production Research 0:0, pages 1-20.
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Lei Cai, Wenfeng Li, Yun Luo & Lijun He. (2023) Real-time scheduling simulation optimisation of job shop in a production-logistics collaborative environment. International Journal of Production Research 61:5, pages 1373-1393.
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Barış Tan & Siamak Khayyati. (2022) Supervised learning-based approximation method for single-server open queueing networks with correlated interarrival and service times. International Journal of Production Research 60:22, pages 6822-6847.
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Weibo Ren, Yan Yan, Yaoguang Hu & Yu Guan. (2022) Joint optimisation for dynamic flexible job-shop scheduling problem with transportation time and resource constraints. International Journal of Production Research 60:18, pages 5675-5696.
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Miguel Vieira, Samuel Moniz, Bruno S. Gonçalves, Tânia Pinto-Varela, Ana Paula Barbosa-Póvoa & Pedro Neto. (2022) A two-level optimisation-simulation method for production planning and scheduling: the industrial case of a human–robot collaborative assembly line. International Journal of Production Research 60:9, pages 2942-2962.
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Jamila Sassi, Ines Alaya, Pierre Borne & Moncef Tagina. (2022) A decomposition-based artificial bee colony algorithm for the multi-objective flexible jobshop scheduling problem. Engineering Optimization 54:3, pages 524-538.
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Articles from other publishers (22)
Chengshuai Fan, Wentao Wang & Jun Tian. (2024) Flexible job shop scheduling with stochastic machine breakdowns by an improved tuna swarm optimization algorithm. Journal of Manufacturing Systems 74, pages 180-197.
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Yu Du, Junqing Li, Chengdong Li & Peiyong Duan. (2024) A Reinforcement Learning Approach for Flexible Job Shop Scheduling Problem With Crane Transportation and Setup Times. IEEE Transactions on Neural Networks and Learning Systems 35:4, pages 5695-5709.
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Bei Tian, Gang Xiao & Yu Shen. (2024) A predictive-reactive strategy for flight test task scheduling with aircraft grounding. Complex & Intelligent Systems.
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Fangfang Zhang, Yi Mei, Su Nguyen & Mengjie Zhang. (2024) Survey on Genetic Programming and Machine Learning Techniques for Heuristic Design in Job Shop Scheduling. IEEE Transactions on Evolutionary Computation 28:1, pages 147-167.
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Makram Zaidi, Amina Amirat, Bassem Jarboui & Abdelkrim Yahyaoui. 2024. Advances in Computational Logistics and Supply Chain Analytics. Advances in Computational Logistics and Supply Chain Analytics
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Máté Hegyháti, Krisztián Attila Bakon & Tibor Holczinger. (2023) Optimization with uncertainties: a scheduling example. Central European Journal of Operations Research 31:4, pages 1239-1263.
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Atefeh Momenikorbekandi & Maysam Abbod. (2023) Intelligent Scheduling Based on Reinforcement Learning Approaches: Applying Advanced Q-Learning and State–Action–Reward–State–Action Reinforcement Learning Models for the Optimisation of Job Shop Scheduling Problems. Electronics 12:23, pages 4752.
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Oussama Hayane & Dimitri Lefebvre. (2023) Reconfigurable timed graphs for the design of optimal scheduling in uncertain environments based on transition-timed Petri net. European Journal of Control 73, pages 100831.
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Zohreh Shakeri, Nourhan Halawi-Ghoson, Nisar Hakam, Esma Talhi, Anthony Quenehen & Khaled Benfriha. (2023) Intelligent scheduling in MES systems for Industry 4.0 - a systematic review of the scientific literature. Intelligent scheduling in MES systems for Industry 4.0 - a systematic review of the scientific literature.
Syeda Marzia, AlejandroVital-Soto & Ahmed Azab. (2023) Automated process planning and dynamic scheduling for smart manufacturing: A systematic literature review. Manufacturing Letters 35, pages 861-872.
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Anil Kumar K. R & Edwin Raja Dhas J.. (2023) Mitigation of Make Span Time in Job Shop Scheduling Problem Using Gannet Optimization Algorithm. ICST Transactions on Scalable Information Systems.
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Chengzhi Yang, Xuejun Pan, Wei Lu & Rui Guo. (2023) Research on Production Scheduling of Electronic Manufacturing Batch Production. Research on Production Scheduling of Electronic Manufacturing Batch Production.
Lorella Cannavacciuolo, Giovanna Ferraro, Cristina Ponsiglione, Simonetta Primario & Ivana Quinto. (2023) Technological innovation-enabling industry 4.0 paradigm: A systematic literature review. Technovation 124, pages 102733.
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A. Mojaver Tabrizi, Behnam Vahdani, F. Etebari & M. Amiri. (2023) A Three-Stage model for Clustering, Storage, and joint online order batching and picker routing Problems: Heuristic algorithms. Computers & Industrial Engineering 179, pages 109180.
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Zhaolin Lai, Guangyuan Li, Baofen Zhang, Chende Su, Zhangyuan Lin & Yanfeng Lan. (2023) A golden-sine strategy based honey badger algorithm for flexible job shop scheduling problem. A golden-sine strategy based honey badger algorithm for flexible job shop scheduling problem.
Golshan Madraki & Seyedamirabbas Mousavian. (2022) Simultaneously Updating Multiple Performance Measures of Manufacturing Systems after Scheduling Perturbations. IFAC-PapersOnLine 55:10, pages 2809-2814.
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A. Dupuis, C Dadouchi & B. Agard. (2022) Tacit knowledge in production sequencing: a Seq2Seq-LSTM approach. IFAC-PapersOnLine 55:10, pages 1600-1605.
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Israël Tsogbetse, Julien Bernard, Hervé Manier & Marie-Ange Manier. (2022) Impact of Encoding and Neighborhood on Landscape Analysis for the Job Shop Scheduling Problem. IFAC-PapersOnLine 55:10, pages 1237-1242.
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Adil Baykasoğlu & Fatma S. Madenoğlu. (2021) Greedy randomized adaptive search procedure for simultaneous scheduling of production and preventive maintenance activities in dynamic flexible job shops. Soft Computing 25:23, pages 14893-14932.
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Rami Naimi, Maroua Nouiri & Olivier Cardin. (2021) A Q-Learning Rescheduling Approach to the Flexible Job Shop Problem Combining Energy and Productivity Objectives. Sustainability 13:23, pages 13016.
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Miguel Ortíz-Barrios, Antonella Petrillo, Fabio De Felice, Natalia Jaramillo-Rueda, Genett Jiménez-Delgado & Luz Borrero-López. (2021) A Dispatching-Fuzzy AHP-TOPSIS Model for Scheduling Flexible Job-Shop Systems in Industry 4.0 Context. Applied Sciences 11:11, pages 5107.
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Róbert Csalódi, Zoltán Süle, Szilárd Jaskó, Tibor Holczinger & János Abonyi. (2021) Industry 4.0-Driven Development of Optimization Algorithms: A Systematic Overview. Complexity 2021, pages 1-22.
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