“…By linking devices sensors, networks and actuators it provides multiple new opportunities (Behmann and Wu, 2015) 3.3 Additive manufacturing 3D printing began with the use of polymer and over the years other materials such as bio, metals, and even the production of chocolate have been gaining momentum as the technology improves (Petrick & Simpson, 2013;Prince, 2014). It has been described in many ways as being revolutionary (Goulding, Bonafe and Savell, 2013), magical (Massis, 2013) and disruptive (Prince, 2014). 3D printing uses the combination of creativity and software to produce: "three-dimensional physical objects… based on a digital blueprint" (Gebler et al, 2014).…”
Section: Industrial Internet Of Thingsmentioning
confidence: 99%
“…3D printing uses the combination of creativity and software to produce: "three-dimensional physical objects… based on a digital blueprint" (Gebler et al, 2014). 3D printing technology ranges from fused deposition modelling (Prince, 2014), developed in the 1980s and which involve layering plastic to create models, to selective laser sintering that uses powdered materials such as aluminium and titanium (Prince, 2014;Goulding et al, 2013).…”
This paper is a first step to understand the role that a smart city with a distributed production system could have in changing the nature and form of supply chain design. Since the end of the Second World War most supply chain systems for manufactured products have been based on "scale economies" and "bigness"; in our paper we challenge this traditional view. Our fundamental research question is: how could a smart city production system change supply chain design? In answering this question we develop an integrative framework for understanding the interplay between smart city technological initiatives (big data analytics, the industrial internet of things) and distributed manufacturing on supply chain design.This framework illustrates synergies between manufacturing and integrative technologies within the smart city context and links with supply chain design.Considering that smart cities are based on the collaboration between firms, endusers and local stakeholders, we advance the present knowledge on production systems through case study findings at the product level. In the conclusion, we stress there is a need for future research to empirically develop our work further and measure (beyond the product level), the extent to which new production technologies such as distributed manufacturing, are indeed democratizing supply chain design and transforming manufacturing from "global production" to a future "city-oriented" social materiality.
“…By linking devices sensors, networks and actuators it provides multiple new opportunities (Behmann and Wu, 2015) 3.3 Additive manufacturing 3D printing began with the use of polymer and over the years other materials such as bio, metals, and even the production of chocolate have been gaining momentum as the technology improves (Petrick & Simpson, 2013;Prince, 2014). It has been described in many ways as being revolutionary (Goulding, Bonafe and Savell, 2013), magical (Massis, 2013) and disruptive (Prince, 2014). 3D printing uses the combination of creativity and software to produce: "three-dimensional physical objects… based on a digital blueprint" (Gebler et al, 2014).…”
Section: Industrial Internet Of Thingsmentioning
confidence: 99%
“…3D printing uses the combination of creativity and software to produce: "three-dimensional physical objects… based on a digital blueprint" (Gebler et al, 2014). 3D printing technology ranges from fused deposition modelling (Prince, 2014), developed in the 1980s and which involve layering plastic to create models, to selective laser sintering that uses powdered materials such as aluminium and titanium (Prince, 2014;Goulding et al, 2013).…”
This paper is a first step to understand the role that a smart city with a distributed production system could have in changing the nature and form of supply chain design. Since the end of the Second World War most supply chain systems for manufactured products have been based on "scale economies" and "bigness"; in our paper we challenge this traditional view. Our fundamental research question is: how could a smart city production system change supply chain design? In answering this question we develop an integrative framework for understanding the interplay between smart city technological initiatives (big data analytics, the industrial internet of things) and distributed manufacturing on supply chain design.This framework illustrates synergies between manufacturing and integrative technologies within the smart city context and links with supply chain design.Considering that smart cities are based on the collaboration between firms, endusers and local stakeholders, we advance the present knowledge on production systems through case study findings at the product level. In the conclusion, we stress there is a need for future research to empirically develop our work further and measure (beyond the product level), the extent to which new production technologies such as distributed manufacturing, are indeed democratizing supply chain design and transforming manufacturing from "global production" to a future "city-oriented" social materiality.
“…A new player in this space are the potentially more revolutionary social networks of high-quality amateur scientists as exemplified by the FABLAB movement [21]. They are enabled by ubiquitously accessible and inexpensive 3D printing and additive manufacturing tools [22], collaborative design databases (www.eng.yale.edu/grablab/openhand/ and others), and communities with formal journals (www.liebertpub.com/overview/3d-printing-and-additive-manufacturing/621/ and www.journals.elsevier.com/additive-manufacturing/). Grassroots communities have also emerged that can, for example, compare and contrast the functionality of prosthetic hands whose price differs by three orders of magnitude (3dprint.com/2438/50-prosthetic-3d-printed-hand/).…”
Biological and robotic grasp and manipulation are undeniably similar at the level of mechanical task performance. However, their underlying fundamental biological vs. engineering mechanisms are, by definition, dramatically different and can even be antithetical. Even our approach to each is diametrically opposite: inductive science for the study of biological systems vs. engineering synthesis for the design and construction of robotic systems. The past 20 years have seen several conceptual advances in both fields and the quest to unify them. Chief among them is the reluctant recognition that their underlying fundamental mechanisms may actually share limited common ground, while exhibiting many fundamental differences. This recognition is particularly liberating because it allows us to resolve and move beyond multiple paradoxes and contradictions that arose from the initial reasonable assumption of a large common ground. Here, we begin by introducing the perspective of neuromechanics, which emphasizes that real-world behavior emerges from the intimate interactions among the physical structure of the system, the mechanical requirements of a task, the feasible neural control actions to produce it, and the ability of the neuromuscular system to adapt through interactions with the environment. This allows us to articulate a succinct overview of a few salient conceptual paradoxes and contradictions regarding under-determined vs. over-determined mechanics, under- vs. over-actuated control, prescribed vs. emergent function, learning vs. implementation vs. adaptation, prescriptive vs. descriptive synergies, and optimal vs. habitual performance. We conclude by presenting open questions and suggesting directions for future research. We hope this frank and open-minded assessment of the state-of-the-art will encourage and guide these communities to continue to interact and make progress in these important areas at the interface of neuromechanics, neuroscience, rehabilitation and robotics.
“…Craft-based production scenarios particularly emphasise the presence of 3DP machines in the home (e.g. or locally, for example in libraries (Prince, 2014), with designs downloaded, modified or engineered by the user (Montelisciani et al, 2014) to suit a particular application before printing. Those more future-looking scenarios, such as Potstada and Zybura (2014) who have developed scenarios for 2033, suggest a virtual "shop" environment where designs can be purchased and tailored extensively before printing at home.…”
Section: Mapping the 3dp Scenario Landscapementioning
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