Contextual impacts on industrial processes brought by the digital transformation of manufacturing: a systematic review

The digital transformation of manufacturing (a phenomenon also known as "Industry 4.0" or "Smart Manufacturing") is finding a growing interest both at practitioner and academic levels, but is still in its infancy and needs deeper investigation. Even though current and potential advantages of digital manufacturing are remarkable, in terms of improved efficiency, sustainability, customization, and flexibility, only a limited number of companies has already developed ad hoc strategies necessary to achieve a superior performance. Through a systematic review, this study aims at assessing the current state of the art of the academic literature regarding the paradigm shift occurring in the manufacturing settings, in order to provide definitions as well as point out recurring patterns and gaps to be addressed by future research. For the literature search, the most representative keywords, strict criteria, and classification schemes based on authoritative reference studies were used. The final sample of 156 primary publications was analyzed through a systematic coding process to identify theoretical and methodological approaches, together with other significant elements. This analysis allowed a mapping of the literature based on clusters of critical themes to synthesize the developments of different research streams and provide the most representative picture of its current state. Research areas, insights, and gaps resulting from this analysis contributed to create a schematic research agenda, which clearly indicates the space for future evolutions of the state of knowledge in this field

Customising with 3D printing: The role of intelligent control

© 2018 Elsevier B.V. The emergence of direct digital manufacturing creates new opportunities for the production of highly customised goods especially when it is combined with conventional manufacturing methods. Nevertheless, this combination creates a need for systems that can effectively manage and control the resulting distributed manufacturing process. In this paper, we explore three different configurations that can enable direct digital manufacturing for customisation, ranging from fully integrated to inter-organisational set up. Additionally, control requirements of such systems are developed and the suitability of intelligent control is explored. By ‘intelligent control’ we mean production control that is capable of assessing and interacting with the production environment and adapting production accordingly. We argue that the so called intelligent product paradigm provides a suitable mechanism for the development of such intelligent control systems. In this approach, the intelligent product directly co-ordinates with design agent, 3D printing agents and other conventional manufacturing system agents to schedule, assign and execute tasks independently. Via a case example of a realistic production system, we propose and implement such an intelligent control system and we analyse its feasibility in supporting 3D printing enabled customisation

Redistributed manufacturing in healthcare: Creating new value through disruptive innovation

The RiHN White Paper is the first serious attempt to gather expertise and to explore applications in promising areas of healthcare that could benefit from RDM and covers early-stage user needs, challenges and priorities. The UK has an opportunity to lead in this area and RiHN has identified an extensive number of areas for fruitful R&D, crossing production technology, infrastructure, business and organisations. The paper serves as a foundation for discussing future technological roadmaps and engaging the wider community and stakeholders, as well as policy makers, in addressing the potential impact of RDM.The RiHN White Paper is of particular value to policy makers and funders seeking to specify action and to direct attention where it is needed. The White Paper is also useful for the research community, to support their proposals with credible research propositions and to show where collaboration with industry and the public sector will deliver the most benefits.In order to seize the opportunities presented by RDM RiHN proposes a bold new agenda that incorporates a whole healthcare system view of future implementation pathways and wider transformation implications. The priority areas for Future R&D can be summarised as follows: throughAutomated production platform technologies and supporting manufacturing infrastructuresAdvances in analytics and metrologyNew regulatory frameworks and governance pathwaysNew frameworks for business model and organisational transformationThe time to take action is now. Technologies are developing that have the potential to disrupt traditional healthcare pathways and offer therapies tailored to individual needs and physiological characteristics. The challenge is seizing this opportunity and make the UK a world leader in RDM

Understanding the emergence of redistributed manufacturing: an ambidexterity perspective

The purpose of this paper is to extend operations management theory concerning efficiency and flexibility trade-offs to the emergent phenomenon of redistributed manufacturing (RDM). The study adopts a multiple case design including five small and five large pharmaceutical firms. By synthesising the research findings and extant literature we propose organisations can gain the efficiency benefits of centralised manufacturing and the flexibility advantages of RDM by building an ambidexterity capability. To build such a capability, large firms can structurally partition their manufacturing and supply management functions, with one sub-unit managing centralised production and the other RDM. Small and medium enterprises can build an ambidexterity capability by creating the right organisational context, one in which a multi-skilled workforce switches between efficient and flexible tasks. This paper contributes to theory by explaining the emergence of RDM using an organisational ambidexterity lens, laying the groundwork for new theory development in the field. The paper contributes to managerial thinking by providing practical examples of how managers can build an ambidexterity capability to realise flexibility and efficiency advantages

3D printing the future: scenarios for supply chains reviewed

Purpose: The aim of this paper is to evaluate existing scenarios for 3D Printing in order to identify the “white space” where future opportunities have not been proposed or developed to date. Based around aspects of order penetration points, geographical scope and type of manufacturing, these gaps are identified. Design/methodology/approach: A structured literature review has been carried out on both academic and trade publications. As of the end of May 2016, this identified 128 relevant articles containing 201 future scenarios. Coding these against aspects of existing manufacturing and supply chain theory has led to the development of a framework for identify “white space” in existing thinking. Findings: The coding shows that existing future scenarios are particularly concentrated on job shop applications and pull based supply chain processes, although there are fewer constraints on geographical scope. Five distinct areas of “white space” are proposed, reflecting various opportunities for future 3DP supply chain development. Research limitations: Being a structured literature review, there are potentially articles not identified through the search criteria used. The nature of the findings is also dependent upon the coding criteria selected. However, these are theoretically derived and reflect important aspect of strategic supply chain management. Practical implications: Practitioners may wish to explore the development of business models within the “white space” areas. Originality/value: Currently, existing future 3DP scenarios are scattered over a wide, multi-disciplinary literature base. By providing a consolidated view of these scenarios, it is possible to identify gaps in current thinking. These gaps are multidisciplinary in nature and represent opportunities for both academics and practitioners to exploit

Circular economy: Questions for responsible minerals, additive manufacturing and recycling of metals

© 2014 by the authors; licensee MDPI, Basel, Switzerland. The concept of the circular economy proposes new patterns of production, consumption and use, based on circular flows of resources. Under a scenario where there is a global shift towards the circular economy, this paper discusses the advent of two parallel and yet-to-be-connected trends for Australia, namely: (i) responsible minerals supply chains and (ii) additive manufacturing, also known as 3D production systems. Acknowledging the current context for waste management, the paper explores future interlinked questions which arise in the circular economy for responsible supply chains, additive manufacturing, and metals recycling. For example, where do mined and recycled resources fit in responsible supply chains as inputs to responsible production? What is required to ensure 3D production systems are resource efficient? How could more distributed models of production, enabled by additive manufacturing, change the geographical scale at which it is economic or desirable to close the loop? Examples are given to highlight the need for an integrated research agenda to address these questions and to foster Australian opportunities in the circular economy

A comparison of processing techniques for producing prototype injection moulding inserts.

This project involves the investigation of processing techniques for producing low-cost moulding inserts used in the particulate injection moulding (PIM) process. Prototype moulds were made from both additive and subtractive processes as well as a combination of the two. The general motivation for this was to reduce the entry cost of users when considering PIM. PIM cavity inserts were first made by conventional machining from a polymer block using the pocket NC desktop mill. PIM cavity inserts were also made by fused filament deposition modelling using the Tiertime UP plus 3D printer. The injection moulding trials manifested in surface finish and part removal defects. The feedstock was a titanium metal blend which is brittle in comparison to commodity polymers. That in combination with the mesoscale features, small cross-sections and complex geometries were considered the main problems. For both processing methods, fixes were identified and made to test the theory. These consisted of a blended approach that saw a combination of both the additive and subtractive processes being used. The parts produced from the three processing methods are investigated and their respective merits and issues are discussed

Reducing risk in pre-production investigations through undergraduate engineering projects.

This poster is the culmination of final year Bachelor of Engineering Technology (B.Eng.Tech) student projects in 2017 and 2018. The B.Eng.Tech is a level seven qualification that aligns with the Sydney accord for a three-year engineering degree and hence is internationally benchmarked. The enabling mechanism of these projects is the industry connectivity that creates real-world projects and highlights the benefits of the investigation of process at the technologist level. The methodologies we use are basic and transparent, with enough depth of technical knowledge to ensure the industry partners gain from the collaboration process. The process we use minimizes the disconnect between the student and the industry supervisor while maintaining the academic freedom of the student and the commercial sensitivities of the supervisor. The general motivation for this approach is the reduction of the entry cost of the industry to enable consideration of new technologies and thereby reducing risk to core business and shareholder profits. The poster presents several images and interpretive dialogue to explain the positive and negative aspects of the student process

Implementing smart specialisation - thematic platform on industrial modernisation

This paper offers an overview of policy and economic reasons behind the launch of the new Smart Specialisation Platform for Industrial Modernisation. It is argued that modernisation of the European Industry depends upon multiple innovations across many industrial areas linked to emerging value chains. Some European regions have access to leading R&D and upstream innovation facilities; others have industrial skills needed in downstream testing and industrial upscaling. This paper looks at how the new Industrial Modernisation Platform can help European regions to create and/or join transnational networks of knowledge and expertise, and drive the development of transnational and macro-regional value chains. Cooperation and outward-looking disposition promote an understanding of the competitive position of the country/region with regard to others, and with respect to global value chains. The paper summarises the progress made since the formal launch of the new platform in June 2016 and offers an overview of the existing partnerships that are currently supported by the platform.JRC.B.3-Territorial Developmen

Re-distributed Manufacturing (RdM) Studio: Simulation Model Development

[EN] Consumer Goods Industry has gone through significant changes during the last years. A challenging economic climate, advances in technology and shifts in the consumer¿s attitude have led manufacturers to transform their operating models. Re-Distributed Manufacturing (RdM) aims to address these changes moving towards smaller-scale local manufacture to create a more resilient and connected system, providing not only an agile, user-driven approach that will allow for personalisation and customisation for Product-Service Systems (PSS); but also sustainability through the circular economy. This research aims to develop a simulation environment based on a current RdM business model, also predicting a future RdM business model based on data-driven decisions. Thus, the model has been employed to compare existing and future RdM scenarios to quantify and spot potential benefits of future RdM models. To achieve this, a System Dynamics Simulation has been built. For this study, changing input parameters regarding recyclability, transportation, the level of automation and level of servitization has been the way of representing the future that RdM will bring to this particular case; showing their impact on operating costs and service efficiency. The SD business simulation has been validated by experts and is a good example of how data-driven experimentation can predict the future of RdM, with the parameters and variables selected being critical for the model. The simulation model produced by this research showed promising results: operating costs reduced by 40%, PSS revenues in 6 months and immediate response of the system to customer demand.Rivas Pizarroso, JL. (2016). Re-distributed Manufacturing (RdM) Studio: Simulation Model Development. Universitat Politècnica de València. http://hdl.handle.net/10251/144650TFG