Performance tradeoffs for spare parts supply chains with additive manufacturing capability servicing intermittent demand
Date
2021
Journal Title
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Volume Title
Publisher
Journal of Defense Analytics and Logistics
Abstract
Purpose
The study aims to investigate the impact of additive manufacturing (AM) on the performance of a spare parts supply chain with a particular focus on underlying spare part demand patterns.
Design/methodology/approach
This work evaluates various AM-enabled supply chain configurations through Monte Carlo simulation. Historical demand simulation and intermittent demand forecasting are used in conjunction with a mixed integer linear program to determine optimal network nodal inventory policies. By varying demand characteristics and AM capacity this work assesses how to best employ AM capability within the network.
Findings
This research assesses the preferred AM-enabled supply chain configuration for varying levels of intermittent demand patterns and AM production capacity. The research shows that variation in demand patterns alone directly affects the preferred network configuration. The relationship between the demand volume and relative AM production capacity affects the regions of superior network configuration performance.
Research limitations/implications
This research makes several simplifying assumptions regarding AM technical capabilities. AM production time is assumed to be deterministic and does not consider build failure probability, build chamber capacity, part size, part complexity and post-processing requirements.
Originality/value
This research is the first study to link realistic spare part demand characterization to AM supply chain design using quantitative modeling.
Description
item.page.type
journal-article
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Keywords
Additive manufacturing, Logistics, Intermittent demand, Spare parts supply chain, Supply chain design
Citation
McDermott, K.C., Winz, R.D., Hodgson, T.J., Kay, M.G., King, R.E. and McConnell, B.M. (2022), "Performance tradeoffs for spare parts supply chains with additive manufacturing capability servicing intermittent demand", Journal of Defense Analytics and Logistics, Vol. 5 No. 2, pp. 179-213. https://doi.org/10.1108/JDAL-08-2020-0016