Articlehybrid2009

Spare parts management: a review of forecasting research and extensions

163 citations0/0 files storedIMA Journal of Management Mathematics

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Forecasting Techniques and Applications Reliability and Maintenance Optimization Supply Chain and Inventory Management

Abstract

Spare parts are very common in many industries and forecasting their requirements is an important operational issue. In recent years, there have been advances in forecasting methods for spare parts, demand information sharing strategies and the design of forecast support systems. Some work has also been done on the value of judgemental adjustment of statistical forecasts. In this paper, these developments are reviewed and avenues for further research are explored.

Citations in this library

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References

2021Taming Black Swans: Challenges for Sustainable Strategic Crisis Management: Plenary Session 2005Configural Processing of Biological Motion in Human Superior Temporal Sulcus 2004When Strangers Pass 2021From Gaze Perception to Social Cognition: The Shared-Attention System 2018How attention gates social interactions 2019Probing the time course of facilitation and inhibition in gaze cueing of attention in an upper-limb reaching task 2020Hand, but not foot, cues generate increases in salience at the pointed-at location

Cited by

2018The human factor in supply chain forecasting: A systematic review 2016Single-hidden layer neural networks for forecasting intermittent demand 2020Comparison of statistical and machine learning methods for daily SKU demand forecasting 2018Integrating human judgement into quantitative forecasting methods: A review 2012A two-step method for forecasting spare parts demand using information on component repairs 2014Intermittent demand forecasting: An empirical study on accuracy and the risk of obsolescence 2021

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