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Supply chain forecasting: Theory, practice, their gap and the future
AA Syntetos, Z Babai, JE Boylan, S Kolassa… - European journal of …, 2016 - Elsevier
Abstract Supply Chain Forecasting (SCF) goes beyond the operational task of extrapolating
demand requirements at one echelon. It involves complex issues such as supply chain …
demand requirements at one echelon. It involves complex issues such as supply chain …
OR in spare parts management: A review
Spare parts are held to reduce the consequences of equipment downtime, playing an
important role in achieving the desired equipment availability at a minimum economic cost …
important role in achieving the desired equipment availability at a minimum economic cost …
Maintenance in aeronautics in an Industry 4.0 context: The role of Augmented Reality and Additive Manufacturing
A Ceruti, P Marzocca, A Liverani… - Journal of Computational …, 2019 - academic.oup.com
The paper broadly addresses how Industry 4.0 program drivers will impact maintenance in
aviation. Specifically, Industry 4.0 practices most suitable to aeronautical maintenance are …
aviation. Specifically, Industry 4.0 practices most suitable to aeronautical maintenance are …
[HTML][HTML] Intermittent demand forecasting for spare parts: A critical review
Ç Pinçe, L Turrini, J Meissner - Omega, 2021 - Elsevier
Spare parts demand forecasting has received considerable attention over the last fifty years
as it is a challenging problem for many companies. This paper provides a critical review and …
as it is a challenging problem for many companies. This paper provides a critical review and …
Impact of additive manufacturing on aircraft supply chain performance: A system dynamics approach
A Ghadge, G Karantoni, A Chaudhuri… - Journal of …, 2018 - emerald.com
Purpose The purpose of this paper is to assess the impact of additive manufacturing (AM)
implementation on aircraft supply chain (SC) networks. Additive and conventional …
implementation on aircraft supply chain (SC) networks. Additive and conventional …
[كتاب][B] Maintenance for industrial systems
R Manzini, A Regattieri, H Pham, E Ferrari - 2010 - Springer
New, global and extended markets are forcing companies to process and manage
increasingly differentiated products with shorter life cycles, low volumes and reduced …
increasingly differentiated products with shorter life cycles, low volumes and reduced …
Switchover to industrial additive manufacturing: dynamic decision-making for problematic spare parts
JS Akmal, M Salmi, R Björkstrand… - International Journal of …, 2022 - emerald.com
Purpose Introducing additive manufacturing (AM) in a multinational corporation with a global
spare parts operation requires tools for a dynamic supplier selection, considering both cost …
spare parts operation requires tools for a dynamic supplier selection, considering both cost …
Lumpy demand forecasting using neural networks
RS Gutierrez, AO Solis, S Mukhopadhyay - International journal of …, 2008 - Elsevier
The current study applies neural network (NN) modeling in forecasting lumpy demand. It is,
to the best of our knowledge, the first such study. Our study compares the performance of NN …
to the best of our knowledge, the first such study. Our study compares the performance of NN …
[HTML][HTML] Impact of additive manufacturing on the supply chain of aerospace spare parts industry—a review
Background: Additive manufacturing (AM) applications in producing spare parts are
increasing day by day. AM is bridging the digital and physical world as a 3D computer-aided …
increasing day by day. AM is bridging the digital and physical world as a 3D computer-aided …
Single-hidden layer neural networks for forecasting intermittent demand
F Lolli, R Gamberini, A Regattieri, E Balugani… - International Journal of …, 2017 - Elsevier
Managing intermittent demand is a vital task in several industrial contexts, and good
forecasting ability is a fundamental prerequisite for an efficient inventory control system in …
forecasting ability is a fundamental prerequisite for an efficient inventory control system in …