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International Journal of Production Research Volume 59, 2021 - Issue 11
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Articles

Order release planning with predictive lead times: a machine learning approach

Manuel SchneckenreitherDepartment of Information Systems, Production and Logistics Management, University of Innsbruck, Innsbruck, AustriaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-4812-4665View further author information
ORCID Icon,
Stefan HaeusslerDepartment of Information Systems, Production and Logistics Management, University of Innsbruck, Innsbruck, AustriaORCID Iconhttps://orcid.org/0000-0003-2589-1367View further author information
ORCID Icon &
Christoph GerholdDepartment of Information Systems, Production and Logistics Management, University of Innsbruck, Innsbruck, AustriaView further author information
Pages 3285-3303 | Received 11 Mar 2019, Accepted 15 Oct 2020, Published online: 26 Dec 2020

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David Tremblet, Simon Thevenin & Alexandre Dolgui. (2024) Makespan estimation in a flexible job-shop scheduling environment using machine learning. International Journal of Production Research 62:10, pages 3654-3670.
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Shengbo Wang, Yu Guo, Shaohua Huang, Daoyuan Liu, Pengzhou Tang & Litong Zhang. (2024) A spatial-temporal feature fusion network for order remaining completion time prediction in discrete manufacturing workshop. International Journal of Production Research 62:10, pages 3638-3653.
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Swapnil Bhalla, Erlend Alfnes & Hans-Henrik Hvolby. (2023) Tools and practices for tactical delivery date setting in engineer-to-order environments: a systematic literature review. International Journal of Production Research 61:7, pages 2339-2371.
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Matthias Thürer, Nuno O. Fernandes, Stefan Haeussler & Mark Stevenson. (2023) Dynamic planned lead times in production planning and control systems: does the lead time syndrome matter?. International Journal of Production Research 61:4, pages 1268-1282.
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Pooya Alavian, Yongsoon Eun, Kang Liu, Semyon M. Meerkov & Liang Zhang. (2022) The (α, β)-precise estimates of production systems performance metrics. International Journal of Production Research 60:7, pages 2230-2253.
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Hubert Missbauer & Reha Uzsoy. (2022) Order release in production planning and control systems: challenges and opportunities. International Journal of Production Research 60:1, pages 256-276.
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Articles from other publishers (22)

Matthias Thürer, Nuno O. Fernandes, Hermann Lödding & Mark Stevenson. (2024) Material flow control in make-to-stock production systems: an assessment of order generation, order release and production authorization by simulation. Flexible Services and Manufacturing Journal.
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Alexander Rokoss, Marius Syberg, Laura Tomidei, Christian Hülsing, Jochen Deuse & Matthias Schmidt. (2024) Case study on delivery time determination using a machine learning approach in small batch production companies. Journal of Intelligent Manufacturing.
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Tobias Hiller, Tabea Marie Demke & Peter Nyhuis. (2024) Throughput Time Predictions Along the Order Fulfilment Process. IEEE Access 12, pages 9705-9718.
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Chen-Fu Chien, Hans Ehm, John W. Fowler, Karl G. Kempf, Lars Mönch & Cheng-Hung Wu. (2023) Production-Level Artificial Intelligence Applications in Semiconductor Supply Chains. IEEE Transactions on Semiconductor Manufacturing 36:4, pages 560-569.
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Lisa Hedvall, Helena Forslund & Stig-Arne Mattsson. (2023) Exploring challenges in dimensioning safety buffers: an empirical study. Journal of Manufacturing Technology Management 34:9, pages 163-184.
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Júlio Barros, João N.C. Gonçalves, Paulo Cortez & M. Sameiro Carvalho. (2023) A decision support system based on a multivariate supervised regression strategy for estimating supply lead times. Engineering Applications of Artificial Intelligence 125, pages 106671.
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Sheron K. H. Sit & Carman K. M. Lee. (2023) Design of a Digital Twin in Low-Volume, High-Mix Job Allocation and Scheduling for Achieving Mass Personalization. Systems 11:9, pages 454.
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Smita Abhijit Ganjare, Sunil M. Satao & Vaibhav Narwane. (2023) Systematic literature review of machine learning for manufacturing supply chain. The TQM Journal.
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Patrick C. Deenen, Jeroen Middelhuis, Alp Akcay & Ivo J. B. F. Adan. (2023) Data-driven aggregate modeling of a semiconductor wafer fab to predict WIP levels and cycle time distributions. Flexible Services and Manufacturing Journal.
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Toly Chen & Yu-Cheng Wang. (2023) A modified random forest incremental interpretation method for explaining artificial and deep neural networks in cycle time prediction. Decision Analytics Journal 7, pages 100226.
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Stefan Haeussler, Philipp Neuner & Matthias Thürer. (2022) Balancing earliness and tardiness within workload control order release: an assessment by simulation. Flexible Services and Manufacturing Journal 35:2, pages 487-508.
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Atakan GERGER. (2023) Aşağıdan Yukarıya Endüstri 4.0 Dönüşüm Yaklaşımı: Yalın YönetimBottom-Up Industry 4.0 Transformation Approach: Lean Management. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi 6:1, pages 908-930.
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T.A. Arno Kasper, Martin J. Land & Ruud H. Teunter. (2023) Towards System State Dispatching in High‐Variety Manufacturing. Omega 114, pages 102726.
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Philipp Neuner, Stefan Haeussler, Julian Fodor & Gregor Blossey. (2022) Putting a Price Tag on Hot Lots and Expediting in Semiconductor Manufacturing. Putting a Price Tag on Hot Lots and Expediting in Semiconductor Manufacturing.
Marcel Panzer, Benedict Bender & Norbert Gronau. (2022) Neural agent-based production planning and control: An architectural review. Journal of Manufacturing Systems 65, pages 743-766.
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Davide Mezzogori, Giovanni Romagnoli & Francesco Zammori. (2022) A new perspective on Workload Control by measuring operating performances through an economic valorization. Scientific Reports 12:1.
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Eduardo Colangelo, Christian Fries, Theresa-Franziska Hinrichsen, Ádám Szaller & Gábor Nick. (2022) Maturity Model for AI in Smart Production Planning and Control System. Procedia CIRP 107, pages 493-498.
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David Tremblet, Simon Thevenin & Alexandre Dolgui. (2022) Predicting makespan in Flexible Job Shop Scheduling Problem using Machine Learning. IFAC-PapersOnLine 55:10, pages 1-6.
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Mohammed Alnahhal, Diane Ahrens & Bashir Salah. (2021) Optimizing Inventory Replenishment for Seasonal Demand with Discrete Delivery Times. Applied Sciences 11:23, pages 11210.
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Mohammed Alnahhal, Diane Ahrens & Bashir Salah. (2021) Dynamic Lead-Time Forecasting Using Machine Learning in a Make-to-Order Supply Chain. Applied Sciences 11:21, pages 10105.
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Zhengmin Zhang, Zailin Guan, Yeming Gong & Qian Shen. 2021. Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems 517 525 .
Manuel Schneckenreither, Sebastian Windmueller & Stefan Haeussler. 2021. Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems 258 266 .

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