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

Towards Understanding closed-loop PLM: The Role of Product Usage Data for Product Development enabled by intelligent Properties

Product lifecycle management (PLM) is a strategy of managing a company’s products all the way across their lifecycles. Empowered by new capabilities, intelligent products enable seamless information flow and thus enable closed-loop PLM. Hence, one phenomenon of particular interest is the appreciation of beginning of life activities through middle of life information. Grounded on empirical data from a multiple-case study in three distinct manufacturing industries, we explore this emergent role of product usage data for product development. In detail, we address rationales, opportunities, conditions, and obstacles. Findings indicate that (1) heterogeneous motives drive the exploitation, (2) a positive impact on every product development stage is perceivable, (3) some products and industry ecosystems are more suitable than others, and (4) technical, economic, and social obstacles challenge the exploitation. With the limitation of an interpretive, qualitative research design, our work represents a first step to understand the role of closed-loop PLM

DIGITAL CO-CREATION Digitalization within Service Design : Transformation from analog thinking towards digital doing

The German automotive industry has accelerated its digital transformation as OEMs (Original Equipment Manufacturers) moving from car manufacturers towards becoming mobility providers, striving for new mobility solutions like offering Mobility as a Service (MaaS), Electric Vehicles (EVs) and Self-Driving-System (SDS). OEMs focus on expanding their core product-driven businesses to access service-orientated business models, the transformation from ownership towards shared mobility. Considering internal and external factors, this requires a new set of expertise, capabilities and an underlying approach to fulfill the demands in the complexity of human-centered development and front- and backstage alignment within the organization. At the same time, Service Design as a practice has risen in attraction by industry, being recognized and increasingly requested for its integration in the functions and divisions of the organization. The scale of Service Design in influence and impact has reached professional practice, making its way from a trendy buzzword to professional practice of turning complex problems collaboratively into tangible solutions. It is seen as a powerful opportunity for combining Business, Human-Centered Design and Engineering. Service Design establishes new ways of exploring business opportunities towards agile problem-solving but focuses on the ‘doing’ side towards further implementation. The contribution of this industrial-based doctoral thesis shall define how Service Design can be deployed and implemented in the field of organizational transformation and mobility development in the era of digital transformation (Digitalization). This research approach seeks to acquire new knowledge on how the Service Design practice can be applied and executed to be perceived as a practical approach to improve the enterprise’s processes and operating procedures and also provide a strategy to grow Service Design within the organization. This research has followed developing a pilot in a lean start-up approach of build, measure, learn with various business units and brands within the Volkswagen Group, this also implies that this research case study consisted of analyzing the Volkswagen Group needs for Service Design. The ‘10X-Service Design Lab’ (10X-SDL) has been designed as the framework of a combination of modular lab space, facilitation enhanced process, methodological driven tool box, operational model in alignment with a digital workflow and workspace striving for accelerated decision making. It is based on the hypothesis that the proposed framework enhances Service Design practice and, at the same time, it increases its attractiveness for business purposes. The 10X-SDL is designed to accelerate project development in a human-centered and holistic way by an open workspace platform lead by facilitators on which project developers, participants, and stakeholders can digitally co-create products, services, systems, and strategies. This research has been conducted as a case study within the Volkswagen Group from 2015 to 2019 in cooperation with the main partners of Service Innovation Corner (SINCO) of the University of Lapland and visual collaboration software company DEON

Lasers in additive manufacturing

Additive manufacturing is a topic of considerable ongoing interest, with forecasts predicting it to have major impact on industry in the future. This paper focusses on the current status and potential future development of the technology, with particular reference to the role of lasers within it. It begins by making clear the types and roles of lasers in the different categories of additive manufacturing. This is followed by concise reviews of the economic benefits and disadvantages of the technology, current state of the market and use of additive manufacturing in different industries. Details of these fields are referenced rather than expanded in detail. The paper continues, focusing on current indicators to the future of additive manufacturing. Barriers to its development, trends and opportunities in major industrial sectors, and wider opportunities for its development are covered. Evidence indicates that additive manufacturing may not become the dominant manufacturing technology in all industries, but represents an excellent opportunity for lasers to increase their influence in manufacturing as a whole

Impact assessment of additive manufacturing on sustainable business models in industry 4.0 context

POCI-01-0145-FEDER-016414 UIDB/00667/2020 PTDC/EME-SIS/32232/2017 UID/EMS/50022/2019Additive manufacturing has the potential to make a longstanding impact on the manufacturing world and is a core element of the Fourth Industrial Revolution. Additive manufacturing signifies a new disruptive path on how we will produce parts and products. Several studies suggest this technology could foster sustainability into manufacturing systems based on its potential of optimizing material consumption, creating new shapes, customizing designs and shortening production times that, all combined, will greatly transform some of the existing business models. Although it requires reaching a certain level of design maturity to completely insert this technology in an industrial setting, additive manufacturing has the potential to favorably impact the manufacturing sector by reducing costs in production, logistics, inventories, and in the development and industrialization of a new product. The transformation of the industry and the acceleration of the adopting rate of new technologies is driving organizational strategy. Thus, through the lenses of Industry 4.0 and its technological concepts, this paper aims to contribute to the knowledge about the impacts of additive manufacturing technology on sustainable business models. This aim is accomplished through a proposed framework, as well as the models and scales that can be used to determine these impacts. The effects are assessed by taking into account the social, environmental and economic impacts of additive manufacturing on business models and for all these three dimensions a balanced scorecard structure is proposed.publishersversionpublishe

The future of manufacturing: A Delphi-based scenario analysis on Industry 4.0

Industry 4.0 is expected to impart profound changes to the configuration of manufacturing companies with regards to what their value proposition will be and how their production network, supplier base and customer interfaces will develop. The literature on the topic is still fragmented; the features of the emerging paradigm appear to be a contested territory among different academic disciplines. This study assumes a value chain perspective to analyze the evolutionary trajectories of manufacturing companies. We developed a Delphi-based scenario analysis involving 76 experts from academia and practice. The results highlight the most common expectations as well as controversial issues in terms of emerging business models, size, barriers to entry, vertical integration, rent distribution, and geographical location of activities. Eight scenarios provide a concise outlook on the range of possible futures. These scenarios are based on four main drivers which stem from the experts\u2019 comments: demand characteristics, transparency of data among value chain participants, maturity of additive manufacturing and advanced robotics, and penetration of smart products. Researchers can derive from our study a series of hypotheses and opportunities for future research on Industry 4.0. Managers and policymakers can leverage the scenarios in long-term strategic planning