3D printing technology and its impact on Chinese manufacturing

Long, Yunguang; Pan, Jian; Hao, Yingjie

doi:10.1080/00207543.2017.1280196

Cited by 36 publications

(15 citation statements)

References 26 publications

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“…As a result predicting demands, planning production and synchronising orders have become a significant challenge in the unstable environment (Pereira 2009). To mitigate such problems, digitalisation of supply chain has been a critical development in the last couple of decades moving towards a knowledge-based economy where a shift from traditional manufacturing to an era of global, intelligent and sustainable manufacturing is observed (Bi 2011;Ranganathan, Teo, and Dhaliwal 2011;Long et al 2017;Michael 2017). The manufacturing companies are looking for innovative information technology support to improve their performance with effective supply chain collaboration and coordination (Farooq and O'Brien 2012).…”

Section: Introductionmentioning

confidence: 99%

Understanding the Blockchain technology adoption in supply chains-Indian context

Kamble

Gunasekaran

Arha

2018

International Journal of Production Research

686

457

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Blockchain technology (BT) is expected to bring a revolutionary paradigm shift in the manner the transactions are carried in the supply chains. BT provides better visibility and transparency by removing the disadvantages of trust related issues in a supply chain. In this paper, we advance the literature on BT and its adoption in the supply chain by developing, and statistically validating a model for understanding the user perceptions on BT adoption. The model is based on the integration of three adoption theories-technology acceptance model (TAM), technology readiness index (TRI) and the theory of planned behaviour (TPB). Based on a survey of 181 supply chain practitioners in India the proposed model was tested using structural equation modelling. The study found that the TRI constructs-Insecurity and discomfort have an insignificant effect on the perceived ease of use and usefulness. Perceived usefulness, attitude, and perceived behavioural control affect the behavioural intention. Subjective norm has a negligible impact on behavioural intention. This is one of the preliminary studies on BT adoption in supply chain and the findings imply that the supply chain practitioners perceive BT adoption free of efforts and would help them to derive maximum benefits for improving the supply chain effectiveness.

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Section: Introductionmentioning

confidence: 99%

Understanding the Blockchain technology adoption in supply chains-Indian context

Kamble

Gunasekaran

Arha

2018

International Journal of Production Research

686

457

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“…In order to answer this research question, we conducted case studies in the Chinese 3D printing industry. One of the key reasons why this research focused on the Chinese market is because its 3D printing technology is growing rapidly and has significantly influenced traditional manufacturing industries (Long et al 2017;Wang et al 2016). Meanwhile, 3D…”

Section: Rq: What Manufacturing Strategies (Strategic Choices and Manmentioning

confidence: 99%

“…Nowadays, emerging technologies such as 3D printing are attracting huge attention from both academia and practitioners. With all its benefits, such as reducing tooling and assembly costs, reducing time to market and advancing innovation, 3D printing technology is now regarded as one of the disruptive technologies that will dramatically change traditional manufacturing industries (Achillas, Tzetzis and Raimondo 2017;Long et al 2017). However, one key challenge facing manufacturing industries is how manufacturers can gain the benefits of such emerging technologies (Niaki and Nonino 2017) via appropriate manufacturing strategies.…”

Section: Introductionmentioning

confidence: 99%

“…However, within current literature on manufacturing strategies and 3D printing, it is mainly focused on only firm level considering impacts and benefits of 3D printing on manufacturing systems (Baumers et al, 2017;Gardanm 2016;Long et al 2017;Niaki and Nonino 2017), there is no research tackling manufacturing strategies at the ecosystem level under the context of 3D printing. Moreover, there are very little empirical studies (Li et al, 2017;Wang et al 2016).…”

Section: Introductionmentioning

confidence: 99%

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Manufacturing strategies for the ecosystem-based manufacturing system in the context of 3D printing

Rong

Lin

Jiang

et al. 2019

International Journal of Production Research

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in 2012 and a bachelor's degree by Tsinghua University in 2007. His research interests include business/innovation ecosystems and network economics, manufacturing system evolution, business ecosystems and business models, technology and innovation management, emerging multinational companies' internationalisation, China and Africa. Dr Yong Lin is a principle lecturer in Operations Management at the Business Faculty of the University of Greenwich. Dr Lin has spent many years in teaching and research, including being in charge of several research projects funded by the National Natural Science Foundation of China (NSFC) and the 863 Program (National High-Technology Research and Development Program of China). His research interests lie in the fields of operations management and supply chain management, specifically in manufacturing strategy, supply chain collaboration, logistics service design, inventory modelling and control, business ecosystems, and innovation.

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“…Rapid prototyping has become a key stage in the product development cycle, and 3D printers have emerged on the market to fill this gap. Their use has been broad in the fields of construction [60], manufacturing [61], and medicine [62]; [63]; [64]; [65]; [66]. However, 3D printing technology does not address data collection and manipulation challenges, as it focuses on prototyping.…”

Section: Digital Technologies For Business Models and Customer Accessmentioning

confidence: 99%

A Decision-Making Framework for Implementing Digitalisation in the South African Tooling Industry

Dewa

Matope

2018

SAJIE

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In this paper, a decision-making framework for implementing the concept of digitalisation within the South African tool, die, and mould-making (TDM) industry context is developed and employed. The purpose of this framework is to answer the following question: "Which digital technologies currently available on the market can be employed to improve the efficiency of shop-floor operations in the South African TDM industry?" An exhaustive literature study of existing digital technologies is conducted. Thereafter, TDM processes requiring digitalisation are identified through knowledge engineering. Based on the system requirements analysis, digital technologies relevant to the South African TDM context are then proposed. OPSOMMINGŉ Besluitnemingsraamwerk vir implementering van die konsep van digitalisering binne die Suid-Afrikaanse matrysmaak industrie is ontwikkel en toegepas. Die doel van hierdie raamwerk is om die volgende vraag te beantwoord: "Watter digitale tegnologieë, wat nou beskikbaar is, kan gebruik word om die rendement van werkswinkel bedrywighede in die Suid-Afrikaanse matrysmaak industrie te verbeter?" ŉ Omvattende literatuurstudie van bestaande digitale tegnologieë is van stapel gestuur. Daarna is matrysmaak prosesse wat kan baat by digitalisering identifiseer. Op grond van die sisteemvereistes analise is digitale tegnologieë relevant tot die Suid-Afrikaanse matrysmaak konteks dan voorgestel. INTRODUCTIONThe production of tools, dies, and moulds (TDM) is a complex activity that requires a lot of expert knowledge and sound judgement. Due to the demand for customised and unique products, the process of tool-making requires great innovation, making it highly dependent on the craftsmanship of the toolmaker. The success of a project therefore depends on the experience and skill levels of the workers doing the job. This makes tool-making a skills-or people-driven exercise. The skills required in the TDM value chain include tool designing, project managing, toolmaking, cost estimating, and many more specialised roles. Schuh, Pitsch, Komorek, Schippers and Salmen [1] described the TDM industry as a knowledge-intensive and data-driven sector. During the fabrication of tools, dies, and moulds, many transactions that involve information exchange occur between toolmakers, their downstream customers, and their upstream suppliers, as illustrated in Figure 1. -Component information Design drawings and specifications Order Documents Design and production changes Order progress Toolmakers Raw material Suppliers OEM and Plastics Manufacturers Figure 1: Transactions during order processing in TDM operations [2]Due to the wide range of products it produces, the TDM industry is characterised by a huge variability of requirements and specifications for each final product. Figure 1 represents the nature of communication involved in processing orders in the TDM sector. A lot of production data is exchanged between toolmakers, their raw material suppliers, and their clients (usually overall equipment manufacturers [OEMs]). To a...

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3D printing technology and its impact on Chinese manufacturing

Cited by 36 publications

References 26 publications

Understanding the Blockchain technology adoption in supply chains-Indian context

Understanding the Blockchain technology adoption in supply chains-Indian context

Manufacturing strategies for the ecosystem-based manufacturing system in the context of 3D printing

A Decision-Making Framework for Implementing Digitalisation in the South African Tooling Industry

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