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Production Planning & Control
The Management of Operations
Volume 26, 2015 - Issue 16
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Articles

A demand classification scheme for spare part inventory model subject to stochastic demand and lead time

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Pages 1318-1331 | Received 16 Oct 2013, Accepted 28 Feb 2015, Published online: 27 May 2015

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Read on this site (6)

Fatima Ezzahra Achamrah, Fouad Riane & Sabine Limbourg. (2022) Solving inventory routing with transshipment and substitution under dynamic and stochastic demands using genetic algorithm and deep reinforcement learning. International Journal of Production Research 60:20, pages 6187-6204.
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F. Lolli, E. Balugani, A. Ishizaka, R. Gamberini, B. Rimini & A. Regattieri. (2019) Machine learning for multi-criteria inventory classification applied to intermittent demand. Production Planning & Control 30:1, pages 76-89.
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Pablo Viveros, Christopher Nikulin, Mónica López-Campos, Roberto Villalón & Adolfo Crespo. (2018) Resolution of reliability problems based on failure mode analysis: an integrated proposal applied to a mining case study. Production Planning & Control 29:15, pages 1225-1237.
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Naser Abdulrahman Alsaleh. (2017) Performance of spare parts supply chains in developing industries. Production Planning & Control 28:10, pages 860-872.
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Ling Li, Min Liu, Weiming Shen & Guoqing Cheng. (2017) A dynamic spare parts ordering and pricing policy based on stochastic programming with multi-choice parameters. Mathematical and Computer Modelling of Dynamical Systems 23:2, pages 196-221.
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Articles from other publishers (10)

Zhen Wang, Qianwang Deng, Like Zhang & Xiaoyan Liu. (2022) Integrated scheduling of production, inventory and imperfect maintenance based on mutual feedback of supplier and demander in distributed environment. Journal of Intelligent Manufacturing 34:8, pages 3445-3467.
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Hiranmoy Samanta & Kamal Golui. 2023. Intelligent Manufacturing Management Systems. Intelligent Manufacturing Management Systems 113 139 .
Guilherme Henrique de Paula Vidal, Rodrigo Goyannes Gusmão Caiado, Luiz Felipe Scavarda, Paulo Ivson & Jose Arturo Garza-Reyes. (2022) Decision support framework for inventory management combining fuzzy multicriteria methods, genetic algorithm, and artificial neural network. Computers & Industrial Engineering 174, pages 108777.
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Md Imran Hasan Tusar & Bhaba R Sarker. (2022) Spare parts control strategies for offshore wind farms: A critical review and comparative study. Wind Engineering 46:5, pages 1629-1656.
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Tercia Emanuelle Ribeiro Alves & Ciro Alberto Amaya Guío. (2022) Modelo de toma de decisión para materiales de mantenimiento, reparación y operaciones (MRO). Ciencia y Poder Aéreo 17:1, pages 67-80.
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Fatima Ezzahra Achamrah, Fouad Riane & Sabine Limbourg. (2022) Spare parts inventory routing problem with transshipment and substitutions under stochastic demands. Applied Mathematical Modelling 101, pages 309-331.
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Duwi Retno Wulansari, Teuku Yuri M. Zagloel & Zulkarnain Zulkarnain. (2021) Development of Spare Part Classification Methodology Considering Maintainability, Criticality, and Inventory Management Aspects in The Oil Processing Industry. Development of Spare Part Classification Methodology Considering Maintainability, Criticality, and Inventory Management Aspects in The Oil Processing Industry.
Leandro Reis Muniz, Samuel Vieira Conceição, Lásara Fabrícia Rodrigues, João Flávio de Freitas Almeida & Tãssia Bolotari Affonso. (2020) Spare parts inventory management: a new hybrid approach. The International Journal of Logistics Management 32:1, pages 40-67.
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Usman Ali, Bashir Salah, Khawar Naeem, Abdul Salam Khan, Razaullah Khan, Catalin Iulian Pruncu, Muhammad Abas & Saadat Khan. (2020) Improved MRO Inventory Management System in Oil and Gas Company: Increased Service Level and Reduced Average Inventory Investment. Sustainability 12:19, pages 8027.
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Jing Chen, Oleg Gusikhin, William Finkenstaedt & Yu-Ning Liu. (2019) Maintenance, Repair, and Operations Parts Inventory Management in the Era of Industry 4.0. IFAC-PapersOnLine 52:13, pages 171-176.
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