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A new hybrid forecasting method for spare part inventory management using heuristics and bootstrapping

Affonso, Tássia Bolotari; Conceição, Samuel Vieira; … - In: Decision analytics journal 10 (2024), pp. 1-9

paper aims to present a new hybrid forecasting method for spare part inventory management using heuristics and bootstrapping … innovative methodology to model autocorrelation in demand to represent data distribution in bootstrapping in alternative to …-edge techniques for erratic and lumpy demand. Results suggest that relaxing autocorrelation in bootstrapping samples could lead to …

Persistent link: https://www.econbiz.de/10014543348

Spare parts demand forecasting : a review on bootstrapping methods

Hasni, M.; Aguir, M. S.; Babai, M. Zied; Jemai, Z. - In: International journal of production research 57 (2019) 15/16, pp. 4791-4804

Persistent link: https://www.econbiz.de/10012193501

Models of spare parts inventories' optimisation : a literature review

Iraqi, Zineb; El Barkany, Abdellah; El Biyaali, Ahmed - In: International journal of services, economics and management 7 (2015/2016) 2/4, pp. 95-110

Persistent link: https://www.econbiz.de/10011688106

An empirical Bayes approach to incorporating demand intermittency and irregularity into inventory control

Ye, Yuan; Lu, Yonggang; Robinson, Powell; Narayanan, … - In: European journal of operational research : EJOR 303 (2022) 1, pp. 255-272

Persistent link: https://www.econbiz.de/10013363901

Forecasting spare part demand using service maintenance information

Van der Auweraer, Sarah; Boute, Robert N. - In: International journal of production economics 213 (2019), pp. 138-149

Persistent link: https://www.econbiz.de/10012036454

Integrated demand forecasting and planning model for repairable spare part : an empirical investigation

Babaveisi, Vahid; Teimoury, Ebrahim; Gholamian, … - In: International journal of production research 61 (2023) 20, pp. 6791-6807

Persistent link: https://www.econbiz.de/10014383256

On the performance of adjusted bootstrapping methods for intermittent demand forecasting

Hasni, M.; Aguir, M. S.; Babai, M. Zied; Jemai, Z. - In: International journal of production economics 216 (2019), pp. 145-153

Persistent link: https://www.econbiz.de/10012106762

A hybrid LSTM method for forecasting demands of medical items in humanitarian operations

Hasni, Marwa; Babai, M. Zied; Rostami-Tabar, Bahman - In: International journal of production research 62 (2024) 17, pp. 6046-6063

Persistent link: https://www.econbiz.de/10015053762

On a method to improve your service BOMs within spare parts management

Stip, J.; Houtum, Geert-Jan van - In: International journal of production economics 221 (2020), pp. 1-8

Persistent link: https://www.econbiz.de/10012232919

Intermittent demand forecasting for spare parts in the heavy-duty vehicle industry : a support vector machine model

Jiang, Peng; Huang, Yibin; Liu, Xiao - In: International journal of production research 59 (2021) 24, pp. 7423-7440

Persistent link: https://www.econbiz.de/10012697535

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