Envisioning e-logistics developments: Making spare parts in situ and on demand

Pérès, François; Noyes, Daniel

doi:10.1016/j.compind.2006.02.010

Cited by 73 publications

(68 citation statements)

References 10 publications

(14 reference statements)

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“…The popular press (Anderson 2012;Markillie 2012;Winnan 2012) optimistically conceives of 3D printing as a new "industrial revolution," a "gold rush" that will dramatically change supply chains, firm strategies, competition, and industrial geographies. In contrast, the academic literature largely confines 3D printing to specialized situations (Holmström et al 2010;Pérès & Noyes 2006), and particular and complex products (Holmström & Partanen 2014). Technological limitations, high material costs, lack of safety and quality standards, and high energy costs (Berman 2012) further confine 3D printing applicability.…”

Section: The 3d Printing Order: Variability Supercenters and Supply mentioning

confidence: 99%

“…At the extreme, in the case of home 3D printing, supply and demand co-occur. In industry, firms will produce missing, lost or broken parts on-site instead of waiting for distant suppliers to produce and ship (Gibson, Rosen & Stucker 2010;Holmström et al 2010;Pérès & Noyes 2006). In cases where products require ex-post work, (e.g., assembly, fitting, packing) the distance will fall from thousands of kilometers and complicated logistics to local/regional production and short-distance logistics.…”

Section: D Printingmentioning

confidence: 99%

“…Hobbyists and specialty firms will continue to build out the tail, production which may occur within 3PLs (Holmström & Partanen 2014). DDM will support mission critical applications in remote or hostile environments such as submarines and space stations (Pérès & Noyes 2006). Geographies with high concentrations of custom capital equipment will invest in DDM to satisfy pooled spare parts requirements.…”

Section: From Long Tail To Ddm Supercentersmentioning

confidence: 99%

“…Contemporary literature focuses on the applicability of 3D printing to spare parts (Holmström et al 2010;Holmström & Partanen 2014;Pérès & Noyes 2006), products demanded by systems that are difficult to access due to distance (e.g., the International space station), time (obsolete parts), danger, (disaster struck areas) (Pérès & Noyes 2006) and complex products (Holmström & Partanen 2014;Gress & Kalafsky 2015). Although 3D…”

Section: D Printingmentioning

confidence: 99%

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The 3D printing order: variability, supercenters and supply chain reconfigurations

Sasson

Johnson

2016

International Journal of Physical Distribution &Amp; Logistics Management

170

124

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Structured AbstractPurpose: Direct Digital Manufacturing (DDM) is conceived of as either disrupting the entire manufacturing economy or merely enabling novel production. Between these extremes, we introduce an alternative where DDM coexists with and complements traditional mass production. When multiple parts run across one manufacturing line, DDM can isolate variability associated with low volume part production and may be preferred to mass production despite being expensive. If DDM complements rather than cannibalizes mass production, this alters our understanding of who adopts DDM, the products built with DDM, and DDM's long-term supply chain implications. Design/methodology/approach: This invited article explores a DDM rollout scenario and qualitatively assesses potential supply chain reconfigurations. Findings: Our analysis recognizes that existing manufacturers with heterogeneous bills-ofmaterial may develop DDM capabilities to isolate disruptive, low-volume production from scalable mass production. Developing DDM competence and raw material scale advantages, these manufacturers become the locus of change in a manufacturing landscape increasingly characterized by multi-product DDM supercenters. Originality/Value: Extant research largely focuses on two potential reasons for DDM adoption: cost-per-unit and time-to-delivery comparisons. We explore a third driver: DDM's capacity to isolate manufacturing variability attributable to low volume parts. Relative to the extant literature, this suggests a different DDM rollout, different adopters, and a different supply chain configuration. We identify mass manufacturing variability reduction as the mechanism through which DDM may be adopted. This adoption trajectory would eventually enable a supply chain transition in which spare parts inventory migrates from finished goods at proprietary facilities to raw materials at generalized DDM supercenters. 1 Direct digital manufacturing is also commonly called 3D printing. We use both interchangeably. The literature has also used the terms "additive manufacturing" and "rapid manufacturing." 4We propose a middle-of-the-road scenario where manufacturers with complex billsof-material will adopt 3D printing to extract additional scale advantages from traditional manufacturing. Hence, product variability, in addition to product launch (Khajavi et al. 2015) is a pivotal antecedent for the co-location of traditional manufacturing and DDM. Demand for specialized products and demand from specialized geographies will reduce 3D printing's raw materials costs (Ruffo, Tuck & Hague 2007), and advance 3D printing technology. We propose that resulting cost reductions and quality improvements will make 3D printing viable for urgent, otherwise disruptive production in existing manufacturing facilities.Manufacturers will allocate expedite orders for low and sporadic demand parts to 3Dprinting, reducing setup and changeover on traditional production lines.3D printing-adopting manufacturers will imprint early 3D printing technological developme...

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Section: The 3d Printing Order: Variability Supercenters and Supply mentioning

confidence: 99%

Section: D Printingmentioning

confidence: 99%

Section: From Long Tail To Ddm Supercentersmentioning

confidence: 99%

Section: D Printingmentioning

confidence: 99%

See 2 more Smart Citations

The 3D printing order: variability, supercenters and supply chain reconfigurations

Sasson

Johnson

2016

International Journal of Physical Distribution &Amp; Logistics Management

170

124

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“…For this reason, it is important that realistic scenarios can be simulated to ensure that targets can be reached. In general, this work is an extension to the work by Pérès and Noyes (2006) or Holmström et al (2010). Pérès and Noyes focus on the strategies for spare part selection on a qualitative level and…”

Section: Research Contributionsmentioning

confidence: 99%

Spare parts on demand using additive manufacturing : a simulation model for cost evaluation.

Jedeck¹

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Little is known about the impact of additive manufacturing in the spare part supply chain. A few studies are available, but they focus on specific parts and their applications only. A general model, which can be adapted to different applications, is nonexistent. This dissertation proposes a decision making framework that enables an interested practitioner/manager to decide whether using additive manufacturing to make spare parts on demand is economical when compared to conventional warehousing strategy. The framework consists of two major components: a general discrete event simulation model and a process of designing a wide range of simulation scenarios.The goal of the dissertation is to help verify existing as well as gain new knowledge about operations of additive manufacturing and the cost implication in the spare parts supply chains.Particularly, the proposed model enables simulation based analysis with various strategies, setups, specific parts, machines and system operating parameters. Furthermore, the process related issues of interest are the influence of building speed, building space volume, material price, machine purchase price and cool down time. Strategy related issues are multi-machine and multi-material production strategies in several setups. Also simulation investigation of different spare part stock properties are executed and analyzed by using different part size distributions.This dissertation establishes fundamental understanding of the characteristics of the additive manufacturing system for spare part supply strategies. This model could directly help the decision-making processes in whether to adopt additive manufacturing technology, and also helps the evaluation of different additive manufacturing strategies when the technology is adopted. iv Both decisions (adoption and strategies) are made based on cost analysis for spare parts in a broader supply chain.

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Additive Manufacturing

Kern

2021

The Digital Transformation of Logistics

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Envisioning e-logistics developments: Making spare parts in situ and on demand

Cited by 73 publications

References 10 publications

The 3D printing order: variability, supercenters and supply chain reconfigurations

The 3D printing order: variability, supercenters and supply chain reconfigurations

Spare parts on demand using additive manufacturing : a simulation model for cost evaluation.

Additive Manufacturing

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