Supply chain cost analysis for additively manufactured biomedical implants

Chowdhury, Sudipta; Francis, Jack; Marufuzzaman, Mohammad; Bian, Linkan

doi:10.1080/23302674.2019.1574365

Cited by 5 publications

(3 citation statements)

References 39 publications

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“…We showed that the designs could instead be manufactured with emerging additive manufacturing techniques. Although the initial cost of manufacturing 3D‐printed implants can be higher, recent research shows that with more widespread use of patient‐specific implants, the process is going to be cost‐effective . Developing biomedical implants, which can be fabricated using 3D printing, provides the opportunity of patient specific, customized implants with better healing, better quality of life, quick response, and faster delivery time.…”

Section: Discussionmentioning

confidence: 99%

Topology optimization of fixed complete denture framework

Park

Lee

Sutradhar

2019

Numer Methods Biomed Eng

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The functionality of a denture is directly related to the quality of life of the edentulous patients because treatment failure results in demoralizing consequences including difficulties in oral activities. Framework for fixed complete dentures plays a crucial role by transferring loads from the denture to the implants, which are integrated into the remaining bones and gingiva, thereby providing stability to the denture. Current techniques utilize 3D scan data of the implant site to capture the locations and soft tissue contours to design customized framework using computer-aided design (CAD) and computer-aided manufacturing (CAM) technology to properly support the denture teeth in their position. The performance and efficiency of these frameworks may be enhanced by incorporating a design optimization in the design process. We tested the feasibility of using the topology optimization to design patient-specific dental frameworks.The shapes of the optimized frameworks may be significantly different from the traditional designs, but better structural integrity is likely to be achieved with potentially less material. The numerical study reveals that commercially available dental framework would experience 16% less maximum stress when topology optimized even with a compliance minimization formulation with 50% volume fraction constraint. Topology optimization for designing dental frameworks might improve current clinical methods and provide better long-term patient satisfaction. KEYWORDS denture framework, 3D printing, topology optimization Int J Numer Meth Biomed Engng. 2019;35:e3193.wileyonlinelibrary.com/journal/cnm

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Section: Discussionmentioning

confidence: 99%

Topology optimization of fixed complete denture framework

Park

Lee

Sutradhar

2019

Numer Methods Biomed Eng

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“…AM may resurrect the old procurement strategies (Meyer et al, 2020) and may diminish or alter the raw material SC (Delic & Eyers, 2020; Kunovjanek & Reiner, 2020). The quantitative analysis of the SC costs integrated with AM facility has been discussed by Chowdhury et al (2019). Raw material sourcing for AM still relies on the global SC and is often dependent on a limited range of suppliers (Chaudhuri et al, 2020; Kunovjanek & Reiner, 2020; Kunovjanek & Wankm€uller, 2020).…”

Section: Review Methodologymentioning

confidence: 99%

Additive Manufacturing Enabled Supply Chain Management: A Review and Research Directions

Sonar

Khanzode

Akarte

2022

Vision: The Journal of Business Perspective

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The emergence of additive manufacturing (AM) is expected to recon figure the traditional supply chain (SC) with more flexibility and agility, leading to opportunistic collaboration. The purpose of the work is to identify research dimensions based on AM-enabled supply chain management (SCM) taxonomy from the product, information and service flow point of view. This article uses a systematic literature review (SLR) on AM-enabled SCM. The literature from 116 peer-reviewed journal papers over 10 years (2010–2021) was comprehensively reviewed and assessed. The selected articles were characterized using (a) SC processes—upstream, manufacturing and downstream and (b) SC flows—goods and services, information and finance. This work provides a direction to scholars and academicians for identifying important SC implications of AM technology adoption. Practitioners can benefit by understanding several challenges involved in AM technology adoption and its implications on SC processes. This work adds new insights by identifying research dimensions based on AM-enabled SCM taxonomy.

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“…The cost analysis of automotive and aerospace industries' spare part SC has also been presented in recent years (Bonn ın Roca et al, 2019;Li et al, 2017;Strong et al, 2018). In this regard, Chowdhury et al (2019) and Emelogu et al (2016) analysed the associated cost in the SC of the bio-implant manufacturing sector. € Ozceylan et al (2017) showed the transformation in the traditional supply chain of orthopaedic insoles when replaced by the AM supply chain through a case study.…”

Section: Literature Reviewmentioning

confidence: 99%

Barriers in adoption of additive manufacturing in medical sector supply chain

Choudhary

Kumar

Sharma

et al. 2021

JAMR

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PurposeAdditive manufacturing (AM) is expected to significantly transform the operations in manufacturing sector. It is also proposed to have optimistic applications in the medical supply chains (SC). However, its adoption in medical sector is faced with a range of barriers. Motivated by the need to establish an AM-based medical SC in a developing economy, the present paper analyses the potential barriers that would hinder the adoption of AM in medical SC.Design/methodology/approachBased on an extensive literature review and expert discussions, 12 significant barriers have been identified, which are analysed using an integrated interpretive structural modelling–analytical network process (ISM–ANP) methodology. An interrelationship between these barriers using ISM has been analysed to determine the driving-dependence power of these barriers using MICMAC (Matrice d' Impacts Croises-Multiplication Applique' e a' Classement) analysis. The barriers are then ranked using the ANP approach.FindingsIt has been focussed that the non-availability of a variety of materials, lack of education and training to designers and workers and production technology limitation are the most critical barriers. The results suggest that the managers should give greater significance to the technological and organizational barriers.Originality/valueAn approach to overcome these barriers can help the managers and organizations to develop successful AM-based SCs. The study is the first to identify and analyse the barriers for successful adoption of AM in medical SC context.

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Supply chain cost analysis for additively manufactured biomedical implants

Cited by 5 publications

References 39 publications

Topology optimization of fixed complete denture framework

Topology optimization of fixed complete denture framework

Additive Manufacturing Enabled Supply Chain Management: A Review and Research Directions

Barriers in adoption of additive manufacturing in medical sector supply chain

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