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International Journal of Production Research Volume 61, 2023 - Issue 7
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Tools and practices for tactical delivery date setting in engineer-to-order environments: a systematic literature review

Swapnil Bhallaa Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology, Trondheim, NorwayCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-4905-2488View further author information
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Erlend Alfnesa Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology, Trondheim, NorwayORCID Iconhttps://orcid.org/0000-0002-9892-3916View further author information
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Hans-Henrik Hvolbyb Department of Materials and Production, Aalborg University, Aalborg, DenmarkORCID Iconhttps://orcid.org/0000-0002-5574-5216View further author information
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Pages 2339-2371 | Received 14 Dec 2021, Accepted 12 Mar 2022, Published online: 05 Apr 2022

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Swapnil Bhalla, Erlend Alfnes, Hans-Henrik Hvolby & Olumide Oluyisola. (2023) Sales and operations planning for delivery date setting in engineer-to-order manufacturing: a research synthesis and framework. International Journal of Production Research 61:21, pages 7302-7332.
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Zhuolin Yang, Yuting Zheng, Jianbin Li, Stuart X. Zhu & Chao Yang. (2023) Delivery service for a service-oriented manufacturing supply chain with procurement and delivery time decisions. International Journal of Production Research 0:0, pages 1-17.
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Ioan-Matei Sarivan, Ole Madsen & Brian Vejrum Wæhrens. (2024) Automatic welding-robot programming based on product-process-resource models. The International Journal of Advanced Manufacturing Technology 132:3-4, pages 1931-1950.
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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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Maja Trstenjak, Petar Gregurić, Žarko Janić & Domagoj Salaj. (2023) Integrated Multilevel Production Planning Solution According to Industry 5.0 Principles. Applied Sciences 14:1, pages 160.
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Zhengjun Jing, Niuping Hu, Yurong Song, Bo Song, Chunsheng Gu & Lei Pan. (2022) On the Design and Implementation of a Blockchain-Based Data Management System for ETO Manufacturing. Applied Sciences 12:18, pages 9184.
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Swapnil Bhalla, Erlend Alfnes & Hans-Henrik Hvolby. 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 321 328 .

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