Hybrid manufacturing – integrating traditional manufacturers with additive manufacturing (AM) supply chain

Danielle Strong, Michael Kay, Brett Conner, Thomas Wakefield, Guhaprasanna Manogharan

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

The ever-growing applications of Additive Manufacturing (AM) in the production of low volume- high value metal parts can be attributed to improving AM processing capabilities and complex design freedom. However, secondary post-processing using traditional processes such as machining, grinding, heat treatment and hot isostatic pressing, i.e., Hybrid Manufacturing, is required to achieve Geometric Dimensioning and Tolerancing (GD&T), surface finish and desired mechanical properties. It is often challenging for most traditional manufacturers to participate in the rapidly evolving supply chain of direct digital manufacturing (DDM) through in-house investments in cost prohibitive metal AM. This research investigates a system of strategically-located AM hubs which can integrate hybrid-AM with the capabilities and excess capacity in multiple traditional manufacturing facilities. Using North American Industry Classification System (NAICS) data for machine shops in the U.S., an uncapacitated facility location model is used to determine the optimal locations for AM hub centers based on: (1) geographical data, (2) demand and (3) cost of hybrid-AM processing. Results from this study have identified: (a) candidate US counties to build AM hubs, (b) total cost (fixed, operational and transportation) and (c) capacity utilization of the AM hubs. It was found that uncapacitated facility location models identified demand centroid as the optimal location and was affected only by AM utilization rate whereas a constrained p-median model identified 22 AM hub locations as the initial sites for AM hubs which grows to 44 AM hubs as demand increases. It was also found that transportation cost was not a significant factor in the hybrid-AM supply chain. Findings from this study will help both AM companies and traditional manufacturers to determine location in the U.S and key factors to advance the metal hybrid-AM supply chain.

Original languageEnglish (US)
Pages (from-to)159-173
Number of pages15
JournalAdditive Manufacturing
Volume21
DOIs
StatePublished - May 1 2018

Fingerprint

3D printers
Supply chains
Metals
Costs
Processing
Machine shops

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Materials Science(all)
  • Engineering (miscellaneous)
  • Industrial and Manufacturing Engineering

Cite this

Strong, Danielle ; Kay, Michael ; Conner, Brett ; Wakefield, Thomas ; Manogharan, Guhaprasanna. / Hybrid manufacturing – integrating traditional manufacturers with additive manufacturing (AM) supply chain. In: Additive Manufacturing. 2018 ; Vol. 21. pp. 159-173.
@article{6f288d4bc48e4769974b4654540ac6ac,
title = "Hybrid manufacturing – integrating traditional manufacturers with additive manufacturing (AM) supply chain",
abstract = "The ever-growing applications of Additive Manufacturing (AM) in the production of low volume- high value metal parts can be attributed to improving AM processing capabilities and complex design freedom. However, secondary post-processing using traditional processes such as machining, grinding, heat treatment and hot isostatic pressing, i.e., Hybrid Manufacturing, is required to achieve Geometric Dimensioning and Tolerancing (GD&T), surface finish and desired mechanical properties. It is often challenging for most traditional manufacturers to participate in the rapidly evolving supply chain of direct digital manufacturing (DDM) through in-house investments in cost prohibitive metal AM. This research investigates a system of strategically-located AM hubs which can integrate hybrid-AM with the capabilities and excess capacity in multiple traditional manufacturing facilities. Using North American Industry Classification System (NAICS) data for machine shops in the U.S., an uncapacitated facility location model is used to determine the optimal locations for AM hub centers based on: (1) geographical data, (2) demand and (3) cost of hybrid-AM processing. Results from this study have identified: (a) candidate US counties to build AM hubs, (b) total cost (fixed, operational and transportation) and (c) capacity utilization of the AM hubs. It was found that uncapacitated facility location models identified demand centroid as the optimal location and was affected only by AM utilization rate whereas a constrained p-median model identified 22 AM hub locations as the initial sites for AM hubs which grows to 44 AM hubs as demand increases. It was also found that transportation cost was not a significant factor in the hybrid-AM supply chain. Findings from this study will help both AM companies and traditional manufacturers to determine location in the U.S and key factors to advance the metal hybrid-AM supply chain.",
author = "Danielle Strong and Michael Kay and Brett Conner and Thomas Wakefield and Guhaprasanna Manogharan",
year = "2018",
month = "5",
day = "1",
doi = "10.1016/j.addma.2018.03.010",
language = "English (US)",
volume = "21",
pages = "159--173",
journal = "Additive Manufacturing",
issn = "2214-8604",
publisher = "Elsevier BV",

}

Hybrid manufacturing – integrating traditional manufacturers with additive manufacturing (AM) supply chain. / Strong, Danielle; Kay, Michael; Conner, Brett; Wakefield, Thomas; Manogharan, Guhaprasanna.

In: Additive Manufacturing, Vol. 21, 01.05.2018, p. 159-173.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Hybrid manufacturing – integrating traditional manufacturers with additive manufacturing (AM) supply chain

AU - Strong, Danielle

AU - Kay, Michael

AU - Conner, Brett

AU - Wakefield, Thomas

AU - Manogharan, Guhaprasanna

PY - 2018/5/1

Y1 - 2018/5/1

N2 - The ever-growing applications of Additive Manufacturing (AM) in the production of low volume- high value metal parts can be attributed to improving AM processing capabilities and complex design freedom. However, secondary post-processing using traditional processes such as machining, grinding, heat treatment and hot isostatic pressing, i.e., Hybrid Manufacturing, is required to achieve Geometric Dimensioning and Tolerancing (GD&T), surface finish and desired mechanical properties. It is often challenging for most traditional manufacturers to participate in the rapidly evolving supply chain of direct digital manufacturing (DDM) through in-house investments in cost prohibitive metal AM. This research investigates a system of strategically-located AM hubs which can integrate hybrid-AM with the capabilities and excess capacity in multiple traditional manufacturing facilities. Using North American Industry Classification System (NAICS) data for machine shops in the U.S., an uncapacitated facility location model is used to determine the optimal locations for AM hub centers based on: (1) geographical data, (2) demand and (3) cost of hybrid-AM processing. Results from this study have identified: (a) candidate US counties to build AM hubs, (b) total cost (fixed, operational and transportation) and (c) capacity utilization of the AM hubs. It was found that uncapacitated facility location models identified demand centroid as the optimal location and was affected only by AM utilization rate whereas a constrained p-median model identified 22 AM hub locations as the initial sites for AM hubs which grows to 44 AM hubs as demand increases. It was also found that transportation cost was not a significant factor in the hybrid-AM supply chain. Findings from this study will help both AM companies and traditional manufacturers to determine location in the U.S and key factors to advance the metal hybrid-AM supply chain.

AB - The ever-growing applications of Additive Manufacturing (AM) in the production of low volume- high value metal parts can be attributed to improving AM processing capabilities and complex design freedom. However, secondary post-processing using traditional processes such as machining, grinding, heat treatment and hot isostatic pressing, i.e., Hybrid Manufacturing, is required to achieve Geometric Dimensioning and Tolerancing (GD&T), surface finish and desired mechanical properties. It is often challenging for most traditional manufacturers to participate in the rapidly evolving supply chain of direct digital manufacturing (DDM) through in-house investments in cost prohibitive metal AM. This research investigates a system of strategically-located AM hubs which can integrate hybrid-AM with the capabilities and excess capacity in multiple traditional manufacturing facilities. Using North American Industry Classification System (NAICS) data for machine shops in the U.S., an uncapacitated facility location model is used to determine the optimal locations for AM hub centers based on: (1) geographical data, (2) demand and (3) cost of hybrid-AM processing. Results from this study have identified: (a) candidate US counties to build AM hubs, (b) total cost (fixed, operational and transportation) and (c) capacity utilization of the AM hubs. It was found that uncapacitated facility location models identified demand centroid as the optimal location and was affected only by AM utilization rate whereas a constrained p-median model identified 22 AM hub locations as the initial sites for AM hubs which grows to 44 AM hubs as demand increases. It was also found that transportation cost was not a significant factor in the hybrid-AM supply chain. Findings from this study will help both AM companies and traditional manufacturers to determine location in the U.S and key factors to advance the metal hybrid-AM supply chain.

UR - http://www.scopus.com/inward/record.url?scp=85043586298&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85043586298&partnerID=8YFLogxK

U2 - 10.1016/j.addma.2018.03.010

DO - 10.1016/j.addma.2018.03.010

M3 - Article

AN - SCOPUS:85043586298

VL - 21

SP - 159

EP - 173

JO - Additive Manufacturing

JF - Additive Manufacturing

SN - 2214-8604

ER -