A holistic decision framework for 3D printing investments in global supply chains

Feldmann, Carsten; Pumpe, Andreas

doi:10.1016/j.trpro.2017.05.451

Cited by 29 publications

(20 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The first is the logistics service provider UPS. Development of additive manufacturing has led to the possibility of producing modules, components, and even end products in one place, and actually at any place in the supply chain (Feldmann andPumpe 2017, Li et al 2017b). This implies supply chain design changes, a lower number of supplier layers and suppliers as such and the reduced need for transportation, which is a threat to logistics companies.…”

Section: Challenge 21 From Competition Between Supply Chains To Compmentioning

confidence: 99%

Challenges for the cyber-physical manufacturing enterprises of the future

Panetto

Iung

Ivanov

et al. 2019

Annual Reviews in Control

257

View full text Add to dashboard Cite

This paper summarizes a vision of the challenges facing the so-called "Industry of the Future" as studied by the research community of the IFAC Coordinating Committee 5 on Manufacturing and Logistics Systems, which includes four Technical Committees (TC). Each TC brings its own vision and puts forward trends and issues important and relevant for future research. The analysis is performed on the enterprise-level topics with an interface too other relevant systems (e.g., supply chains). The vision developed might lead to the identification of new scientific control directions such as Industry 4.0 technology-enabled new production strategies that require highly customised supply network control, the creation of resilient enterprise to cope with risks, developments in management decision-support systems for the design, and scheduling and control of resilient and digital manufacturing networks, and collaborative control. Cobots, augmented reality and adaptable workstations are a few examples of how production and logistic systems are changing supporting the operator 4.0. Sustainable manufacturing techniques, such closed-loop supply chains, is another trend in this area. Due to increasing number of elements and systems, complex and heterogeneous enterprise systems need to be considered (e.g., for decision-making). These systems are heterogeneous and build by different stakeholders. To make use of these, an environment is needed that allows the integration of the systems forming a System-of-Systems (SoS). The changing environment requires models which adapt over time. Some of the adaptation is due to learning, other mechanisms include self-organisation by intelligent agents. In general, models and systems need to be modular and support modification and (self-)adaptation. An infrastructure is needed that supports loose coupling and evolving systems of systems. The vision of the overall contribution from the research community in manufacturing and logistics systems, over the next few years is to bring together researchers and practitioners presenting and discussing topics in modern manufacturing modelling, management and control in the emerging field of Industry 4.0-based resilient and innovative production SoS and supply networks.

show abstract

Section: Challenge 21 From Competition Between Supply Chains To Compmentioning

confidence: 99%

Challenges for the cyber-physical manufacturing enterprises of the future

Panetto

Iung

Ivanov

et al. 2019

Annual Reviews in Control

257

View full text Add to dashboard Cite

show abstract

“…DURACH et al 2017CR/FL-IM/MC/RE-S/DM -Insights on emerging AM processes; barriers to their adoption and a timeline of expected impacts on the supply chain in the manufacturing industry. FELDMANN and PUMPE (2017) DM/RE-S -Framework for investment decisions based on economic value added providing assessment of value drivers in global supply chains for supporting investment decisions in 3DP technology, considering manufacturing and overall supply chain costs. HANDAL 2017CR/DM -Framework of AM impacts on SC management.…”

Section: Independent Journal Of Management and Production (Ijmandp)mentioning

confidence: 99%

Implications of additive manufacturing on supply chain and logistics

Velázquez

Simon

Helleno

et al. 2020

Ind. Jour. Manag. & Prod.

View full text Add to dashboard Cite

Additive manufacturing (AM) technology has attracted the interest of industrial professionals and researchers in the last years. This interest lies primarily in understanding the trends, benefits, and implications of AM technology on supply chain (SC) and logistics, as it requires reconfiguring the supply chain based on a distributed manufacturing strategy, closer to the consumer market, with shorter lead times and less raw materials. It still is an emerging field, and needs further study. Therefore, a better understanding of main trends will contribute to the dissemination of knowledge about AM technology and its consolidation. This article seeks to investigate the implications of AM, as an advanced manufacturing model, on SC and logistics. A four-step research method was used to develop a systematic literature review and a bibliometric analysis on the AM implications in SC and logistics. The main implications of AM on SC and logistics were classified in seven key issues gathered as result of the literature review. Additionally, bibliometric study allowed understanding researches major trends in this field. The key aspects highlighted and characterized as major implications of AM on SC and logistic are: supply chain complexity reduction; more flexible logistics and inventory management; better spreading and popularization of mass customization; decentralization of manufacturing; greater design freedom and rapid prototyping; increasing of resource efficiency and sustainability, and the need to have clearly defined legal and safety aspects.

show abstract

“…Rapid prototyping has been referred to as a technology (Khajavi et al, 2014;Lindemann et al 2012), as a process (Achillas et al, 2014;Rogers et al, 2017;Strong et al, 2017) and as an application of AM-related technologies (Gress and Kalafsky, 2015;Jha, 2016;Feldmann and Pumpe, 2017). Similarly, the literature refers to rapid manufacturing as a technology (Lindemann et al 2012;Sasson and Johnson, 2016), as a process ( Huang et al, 2013;Oettmeier and Hofmann, 2016;Ryan et al, 2017), and as an application of AM-related technologies (Meisel et al,2016;Attaran, 2017;Ortt, 2017).…”

Section: Terminologies Used In the Am Technologies Literaturementioning

confidence: 99%

“…AM + SP ( Berman 2012;Durão et al 2017;Jha 2016;Pérès and Noyes, 2006;Pour and Zanoni 2017;Zanardini et al 2016) 6 AM + SC (Achillas et al 2014;Attaran 2017;Ben-Ner and Siemsen 2017;Durach et al, 2017;Feldmann and Pumpe 2017;Gao et al, 2015;Gress and Kalafsky 2015;Hasan et al, 2013;Holmström et al 2016;Holmström et al,2017;Holmström and Partanen 2014;Huang et al 2013;Joshi and Sheikh, 2015;Khorram Niaki and Nonino 2017;Kothman and Faber 2016;Oettmeier and Hofmann 2016;Ortt 2017;Rogers et al, 2016;Rogers et al,2017;Ryan et al 2017;Rylands et al 2016;Strong et al 2017;Sun and Zhao 2017;Wagner and Walton 2016;Woodson 2015) 25 SP + SC (Behfard et al 2015;Bergman et al 2017;Danas et al, 2006;de Souza et al 2011;Huiskonen 2001;Van Utterbeeck et al 2009;Wagner and Lindemann 2008) 7 AM + SP + SC (Holmström et al 2010;Khajavi, Partanen, and Holmström 2014;…”

Section: Appendix 1 Literature Included In the Reviewmentioning

confidence: 99%

In search for classification and selection of spare parts suitable for additive manufacturing: a literature review

Frandsen

Nielsen

Chaudhuri

et al. 2019

International Journal of Production Research

View full text Add to dashboard Cite

This paper reviews the literature on additive manufacturing (AM) technologies and equipment, and spare parts classification criteria to propose a systematic process for selecting spare parts which are suitable for AM. This systematic process identifies criteria that can be used to select spare parts that are suitable for AM. The review found that there is limited research that addresses identifying processes for spare parts selection for AM, even though companies have identified this to be a key challenge in adopting AM. Seven areas for future research are identified relating to the methodology of spare parts selection for AM, processes for cross-functional integration in selecting spare parts for AM, broadening the spare parts portfolio that is suitable for AM (by considering usage of AM in conjunction with conventional technologies), and potential impact of AM on product modularity and integrality.

show abstract

A holistic decision framework for 3D printing investments in global supply chains

Cited by 29 publications

References 39 publications

Challenges for the cyber-physical manufacturing enterprises of the future

Challenges for the cyber-physical manufacturing enterprises of the future

Implications of additive manufacturing on supply chain and logistics

In search for classification and selection of spare parts suitable for additive manufacturing: a literature review

Contact Info

Product

Resources

About