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International Journal of Production Research Volume 62, 2024 - Issue 8: Supply Chain Digitization and Management
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SPECIAL ISSUE TITLE: Supply Chain Digitization and Management
Guest Editors: Manoj Kumar Tiwari, Bopaya Bidanda, Joseph Geunes, Kiran Fernandes and Alexandre Dolgui

A decision support system for configuring spare parts supply chains considering different manufacturing technologies

Alessandra Cantinia Department of Industrial Engineering (DIEF), University of Florence, Florence, Italy;b Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology, Trondheim, NorwayCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-6288-484XView further author information
ORCID Icon,
Mirco Peronb Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology, Trondheim, NorwayORCID Iconhttps://orcid.org/0000-0001-6857-8392View further author information
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Filippo De Carloa Department of Industrial Engineering (DIEF), University of Florence, Florence, ItalyORCID Iconhttps://orcid.org/0000-0003-4695-5956View further author information
ORCID Icon &
Fabio Sgarbossab Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology, Trondheim, NorwayORCID Iconhttps://orcid.org/0000-0002-9541-3515View further author information
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Pages 3023-3043 | Received 20 Oct 2021, Accepted 03 Feb 2022, Published online: 27 Feb 2022

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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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Manoj Kumar Tiwari, Bopaya Bidanda, Joseph Geunes, Kiran Fernandes & Alexandre Dolgui. (2024) Supply chain digitisation and management. International Journal of Production Research 62:8, pages 2918-2926.
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Alessandra Cantini, Mirco Peron, Filippo De Carlo & Fabio Sgarbossa. (2024) A data-driven methodology for the periodic review of spare parts supply chain configurations. International Journal of Production Research 62:5, pages 1818-1845.
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Yongting Tian, Shouxu Song, Dan Zhou, Ruirui Yang & Chen Wei. (2023) Toward sustainable joint optimisation for product family and supply chain configuration with smart contracting consideration. Journal of Engineering Design 34:12, pages 1013-1045.
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Hongyan Dui, Xingju Yang & Meng Liu. (2023) Importance measure-based maintenance analysis and spare parts storage configuration in two-echelon maintenance and supply support system. International Journal of Production Research 61:23, pages 8325-8342.
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Min Zhang, Keke Wei, Shuguang He, Zhen He & Wei Yan. (2023) Performance-based maintenance contract for mission-critical equipment considering spare parts inventory cost-sharing and suppliers' risk attitudes. International Journal of Production Research 61:21, pages 7524-7539.
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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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Vahid Babaveisi, Ebrahim Teimoury, Mohammad Reza Gholamian & Bahman Rostami-Tabar. (2023) Integrated demand forecasting and planning model for repairable spare part: an empirical investigation. International Journal of Production Research 61:20, pages 6791-6807.
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Mirco Peron. A digital twin-enabled digital spare parts supply chain. International Journal of Production Research 0:0, pages 1-16.
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