Additive manufacturing in military and humanitarian missions: Advantages and challenges in the spare parts supply chain

2020 ◽  
Vol 257 ◽  
pp. 120301 ◽  
Author(s):  
Jelmar den Boer ◽  
Wim Lambrechts ◽  
Harold Krikke
2019 ◽  
Vol 25 (3) ◽  
pp. 473-487 ◽  
Author(s):  
Yuan Zhang ◽  
Stefan Jedeck ◽  
Li Yang ◽  
Lihui Bai

PurposeDespite the widespread expectation that additive manufacturing (AM) will become a disruptive technology to transform the spare parts supply chain, very limited research has been devoted to the quantitative modeling and analysis on how AM could fulfill the on-demand spare parts supply. On the other hand, the choice of using AM as a spare parts supply strategy over traditional inventory is a rising decision faced by manufacturers and requires quantitative analysis for their AM-or-stock decisions. The purpose of this paper is to develop a quantitative performance model for a generic powder bed fusion AM system in a spare parts supply chain, thus providing insights into this less-explored area in the literature.Design/methodology/approachIn this study, analysis based on a discrete event simulation was carried out for the use of AM in replacement of traditional warehouse inventory for an on-demand spare parts supply system. Generic powder bed fusion AM system was used in the model, and the same modeling approach could be applied to other types of AM processes. Using this model, the impact of both spare parts demand characteristics (e.g. part size attributes, demand rates) and the AM operations characteristics (e.g. machine size and postpone strategy) on the performance of using AM to supply spare parts was studied.FindingsThe simulation results show that in many cases the AM operation is not as cost competitive compared to the traditional warehouse-based spare parts supply operation, and that the spare parts size characteristics could significantly affect the overall performance of the AM operations. For some scenarios of the arrival process of spare parts demand, the use of the batched AM production could potentially result in significant delay in parts delivery, which necessitates further investigations of production optimization strategies.Originality/valueThe findings demonstrate that the proposed simulation tool can not only provide insights on the performance characteristics of using AM in the spare parts supply chain, especially in comparison to the traditional warehousing system, but also can be used toward decision making for both the AM manufacturers and the spare parts service providers.


2018 ◽  
Vol 24 (7) ◽  
pp. 1178-1192 ◽  
Author(s):  
Siavash H. Khajavi ◽  
Jan Holmström ◽  
Jouni Partanen

PurposeInnovative startups have begun a trend using laser sintering (LS) technology patents expiration, namely, by introducing LS additive manufacturing (AM) machines that can overcome utilization barriers, such as the costliness of machines and productivity limitation. The recent rise of this trend has led the authors to investigate this new class of machines in novel settings, including hub configuration. There are various supply chain configurations to supply spare parts in industrial operations. This paper aims to explore the promise of a production configuration that combines the benefits of centralized production with the flexibility of local manufacturing without the huge costs related to it.Design/methodology/approachThis study quantitatively examines the feasibility of different AM-enabled spare parts supply chain configurations. Using cost data extracted from a case study, three scenarios per AM machine technology are modeled and compared.FindingsResults suggest that hub production configuration depending on the utilized AM machines can provide economic efficiency and effectiveness to reduce equipment downtime. While previous studies have suggested the need for AM machines with efficiency for single part production for a distributed supply chain, the findings in this research illustrate the positive relationship between multi-part production capability and the feasibility of a hub manufacturing configuration establishment.Originality/valueThis study explores the promise of a production configuration that combines the benefits of centralized production with the flexibility of local manufacturing without the huge costs related to it. Although the existing body of knowledge contains research on production decentralization, research on various levels of decentralization is lacking. Using a real-world case study, this study aims to compare the feasibility of different levels of decentralization for AM-enabled spare parts supply chains.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kyle C. McDermott ◽  
Ryan D. Winz ◽  
Thom J. Hodgson ◽  
Michael G. Kay ◽  
Russell E. King ◽  
...  

PurposeThe 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/approachThis 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.FindingsThis 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/implicationsThis 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/valueThis research is the first study to link realistic spare part demand characterization to AM supply chain design using quantitative modeling.


Author(s):  
Atanu Chaudhuri ◽  
Dennis Massarola

This chapter aims to investigate the potential economic and environmental sustainability outcomes of additive manufacturing (AM) for spare parts logistics. System dynamic simulation was conducted to analyze the sustainability of producing a spare part used in a railways subsystem using a particular additive manufacturing (AM) technology (i.e., selective laser sintering [SLS]) compared to producing it using injection molding. The results of the simulation showed that using SLS for the chosen part is superior to the conventional one in terms of total variable costs as well as for carbon footprint. Compared to the conventional supply chain, for the AM supply chain, the costs of the supplier reduces by 46%, that of the railways company reduces by 71%, while the overall supply chain costs reduce by 61.9%. The carbon emissions in the AM supply chain marginally reduces by 2.89% compared to the conventional supply chain.


2014 ◽  
Vol 65 (1) ◽  
pp. 50-63 ◽  
Author(s):  
Siavash H. Khajavi ◽  
Jouni Partanen ◽  
Jan Holmström

Author(s):  
Peter Tatham ◽  
Jennifer Loy ◽  
Umberto Peretti

Purpose – 3D printing (3DP), which is technically known as additive manufacturing, is being increasingly used for the development of bespoke products within a broad range of commercial contexts. The purpose of this paper is to investigate the potential for this technology to be used in support of the preparation and response to a natural disaster or complex emergency and as part of developmental activities, and to offer a number of key insights following a pilot trial based in the East African HQ of a major international non-governmental organisation. Design/methodology/approach – Using an illustrative example from the water, sanitation and hygiene (WASH) field this paper demonstrates, from both a theoretical and practical standpoint, how 3DP has the potential to improve the efficiency and effectiveness of humanitarian logistic (HL) operations. Findings – Based on the pilot trial, the paper confirms that the benefits of 3DP in bespoke commercial contexts – including the reduction of supply chain lead times, the use of logistic postponement techniques and the provision of customised solutions to meet unanticipated operational demands – are equally applicable in a humanitarian environment. It also identifies a number of key challenges that will need to be overcome in the operationalisation of 3DP in a development/disaster response context, and proposes a hub-and-spoke model – with the design and testing activities based in the hub supporting field-based production at the spokes – to mitigate these. Research limitations/implications – In addition to an extensive review of both the HL and additive manufacturing literature, the results of the pilot trial of 3DP in support of humanitarian operations, are reported. The paper recommends further detailed analysis of the underpinning cost model together with further field trials of the recommended organisational construct and testing of the most appropriate materials for a given artefact and environment. Practical implications – 3DP has the potential to improve the response to disasters and development operations through the swift production of items of equipment or replacement spare parts. With low capital and running costs, it offers a way of mitigating delays in the supply chain through on site fabrication to meet an identified requirement more swiftly and effectively than via the traditional re-supply route, and it allows for adaptive design practice as multiple iterations of a product are possible in order to optimise the design based on field testing. Social implications – The logistic challenges of responding in a disaster affected or development environment are well documented. Successful embodiment of 3DP as part of the humanitarian logistician’s portfolio of operational techniques has the potential to deliver more efficient and effective outcomes in support of the beneficiaries as well as a sense of empowerment in relation to problem solving. In addition, it has the longer term potential for the creation of a new industry (and, hence, income source) for those living in remote locations. Originality/value – The research demonstrates that, whilst 3DP is increasingly found in a commercial environment, its use has not previously been trialled in a humanitarian context. The research reported in this paper confirms the potential for 3DP to become a game-changer, especially in locations which are logistically difficulty to support.


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