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Citations (37)
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Ehsan Badakhshan & Peter Ball. (2024) Deploying hybrid modelling to support the development of a digital twin for supply chain master planning under disruptions. International Journal of Production Research 62:10, pages 3606-3637.
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Violetta Giada Cannas, Maria Pia Ciano, Mattia Saltalamacchia & Raffaele Secchi. (2024) Artificial intelligence in supply chain and operations management: a multiple case study research. International Journal of Production Research 62:9, pages 3333-3360.
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Fernanda Strozzi & Rossella Pozzi. (2024) Trend and seasonality features extraction with pre-trained CNN and recurrence plot. International Journal of Production Research 62:9, pages 3251-3262.
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Mario Rapaccini, Veronica Loew Cadonna, Leonardo Leoni & Filippo De Carlo. (2023) Application of machine learning techniques for cost estimation of engineer to order products. International Journal of Production Research 61:20, pages 6978-7000.
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Le Ngoc Bao Long, Truong Ngoc Cuong, Hwan-Seong Kim & Sam-Sang You. (2023) Sustainability and robust decision-support strategy for multi-echelon supply chain system against disruptions. International Journal of Logistics Research and Applications 0:0, pages 1-31.
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Ehsan Badakhshan & Peter Ball. (2023) Applying digital twins for inventory and cash management in supply chains under physical and financial disruptions. International Journal of Production Research 61:15, pages 5094-5116.
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Sohrab Faramarzi-Oghani, Parisa Dolati Neghabadi, El-Ghazali Talbi & Reza Tavakkoli-Moghaddam. (2023) Meta-heuristics for sustainable supply chain management: a review. International Journal of Production Research 61:6, pages 1979-2009.
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Md Shajalal, Petr Hajek & Mohammad Zoynul Abedin. (2023) Product backorder prediction using deep neural network on imbalanced data. International Journal of Production Research 61:1, pages 302-319.
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Mehak Rehman, Abdul Razzaq, Irfan Ahmad Baig, Javeria Jabeen, Muhammad Hammad Nadeem Tahir, Umar Ijaz Ahmed, Adnan Altaf & Touqeer Abbas. (2022) Semantics Analysis of Agricultural Experts’ Opinions for Crop Productivity through Machine Learning. Applied Artificial Intelligence 36:1.
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Simranjeet S. Chadha, M. Ali Ülkü & Uday Venkatadri. (2022) Freight delivery in a Physical Internet Supply Chain: an applied optimisation model with peddling and shipment consolidation. International Journal of Production Research 60:16, pages 4995-5011.
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Conn Smyth, Denis Dennehy, Samuel Fosso Wamba, Murray Scott & Antoine Harfouche. Artificial intelligence and prescriptive analytics for supply chain resilience: a systematic literature review and research agenda. International Journal of Production Research 0:0, pages 1-25.
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Ilya Jackson, Dmitry Ivanov, Alexandre Dolgui & Jafar Namdar. Generative artificial intelligence in supply chain and operations management: a capability-based framework for analysis and implementation. International Journal of Production Research 0:0, pages 1-26.
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Jaber S. Alzahrani, Mashael Maashi, Haya Mesfer Alshahrani, Abdulkhaleq Q. A. Hassan, Jahangir Khan, Ashit Kumar Dutta, Yasir A. M. Eltahir, Hussam Eldin Hussein Saad & Rafiulla Gilkaramenthi. (2024) Tree Seed Algorithm-based Feature Selection with Optimal Deep Learning Model for Supply Chain Management. Fluctuation and Noise Letters 23:02.
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Thais de Castro Moraes, Xue‐Ming Yuan & Ek Peng Chew. (2024) Hybrid convolutional long short‐term memory models for sales forecasting in retail. Journal of Forecasting.
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Suriyan Jomthanachai, Wai Peng Wong & Khai Wah Khaw. (2023) An Application of Machine Learning to Logistics Performance Prediction: An Economics Attribute-Based of Collective Instance. Computational Economics 63:2, pages 741-792.
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Simon Martin & Alexander Rasch. (2024) Demand forecasting, signal precision, and collusion with hidden actions. International Journal of Industrial Organization 92, pages 103036.
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Issam Mallouk, Yves Sallez & Badr Abou El Majd. 2024. Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future. Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future
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Wantao Yu, Chee Yew Wong, Roberto Chavez & Mark Jacobs. (2023) Surfing with the tides: how digitalization creates firm performance through supply chain entrainment. International Journal of Operations & Production Management 43:12, pages 2008-2030.
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Fábio Polola Mamede, Roberto Fray da Silva, Irineu de Brito Junior, Hugo Tsugunobu Yoshida Yoshizaki, Celso Mitsuo Hino & Carlos Eduardo Cugnasca. (2023) Deep Learning and Statistical Models for Forecasting Transportation Demand: A Case Study of Multiple Distribution Centers. Logistics 7:4, pages 86.
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Milton Soto-Ferrari, Kuntal Bhattacharyya & Paul Schikora. (2023) POST-BaLSTM: A Bagged LSTM forecasting ensemble embedded with a postponement framework to target the semiconductor shortage in the automotive industry. Computers & Industrial Engineering 185, pages 109602.
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Swathi Baswaraju, V. Uma Maheswari, krishna Keerthi Chennam, Arunadevi Thirumalraj, M. V. V. Prasad Kantipudi & Rajanikanth Aluvalu. (2023) Future Food Production Prediction Using AROA Based Hybrid Deep Learning Model in Agri-Sector. Human-Centric Intelligent Systems 3:4, pages 521-536.
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Baljinder Kaur, Tanish Chauhan, Ketan Nalwaya & Manik Rakhra. (2023) Panel-Based Demand Analysis of OnlineShopping Websites. Panel-Based Demand Analysis of OnlineShopping Websites.
Sneha Kumari, V. G. Venkatesh, Felix Ter Chian Tan, S. Vijayakumar Bharathi, M. Ramasubramanian & Yangyan Shi. (2023) Application of machine learning and artificial intelligence on agriculture supply chain: a comprehensive review and future research directions. Annals of Operations Research.
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Anirut Kantasa-ard, Tarik Chargui, Abdelghani Bekrar, Abdessamad AitElCadi & Yves Sallez. (2023) Dynamic sustainable multiple-depot vehicle routing problem with simultaneous pickup and delivery in the context of the physical internet. Journal of International Logistics and Trade 21:3, pages 110-134.
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Anna Borucka. (2023) Seasonal Methods of Demand Forecasting in the Supply Chain as Support for the Company’s Sustainable Growth. Sustainability 15:9, pages 7399.
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Biswajit Biswas, Manas Kumar Sanyal & Tuhin Mukherjee. (2023) AI-Based Sales Forecasting Model for Digital Marketing. International Journal of E-Business Research 19:1, pages 1-14.
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Qingyan Zhou, Hao Li, Youhua Zhang & Junhong Zheng. (2023) Product Evaluation Prediction Model Based on Multi-Level Deep Feature Fusion. Future Internet 15:1, pages 31.
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Maroua Nouiri, Tarik Chargui, Abdelghani Bekrar & Damien Trentesaux. 2023. Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future. Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future
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Reza Lotfi, Amin Gholamrezaei, Marta Kadłubek, Mohamad Afshar, Sadia Samar Ali & Kiana Kheiri. (2022) A robust and resilience machine learning for forecasting agri-food production. Scientific Reports 12:1.
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Arnab Mitra, Arnav Jain, Avinash Kishore & Pravin Kumar. (2022) A Comparative Study of Demand Forecasting Models for a Multi-Channel Retail Company: A Novel Hybrid Machine Learning Approach. Operations Research Forum 3:4.
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Sihua Chen, Linlin Su & Xusen Cheng. (2021) Physical Internet deployment in industry: literature review and research opportunities. Industrial Management & Data Systems 122:6, pages 1522-1540.
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Zhenguo Ma, Bing Tang, Keqi Zhang, Yuming Huang, Danyi Cao, Jiaohong Luo & Jianyong Zhang. (2022) Predicting Spare Parts Inventory of Hydropower Stations and Substations Based on Combined Model. Mathematical Problems in Engineering 2022, pages 1-11.
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Arunkumar O N & Divya D.. (2022) Deep Learning Techniques for Demand Forecasting. Information Resources Management Journal 35:2, pages 1-24.
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Hadid Wahedi, Kacper Wrona, Mads Heltoft, Sarkaft Saleh, Thomas Roum Knudsen, Ulrik Bendixen, Izabela Nielsen, Subrata Saha & Gregers Sandager Borup. 2022. Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action. Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action
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Issam Mallouk, Yves Sallez & Badr Abou El Majd. (2021) Machine learning approach for predictive maintenance of transport systems. Machine learning approach for predictive maintenance of transport systems.
Aicha EL Filali, El Habib Ben Lahmer & Sanaa EL Filali. (2021) Exploring applications of Machine Learning for supply chain management. Exploring applications of Machine Learning for supply chain management.