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EN
In this global competitive environment, with the recent advancement in information and communication technologies, the industries are adopting new strategies to sustain. Cloud manufacturing is a new technology that utilizes data analytics for better decision-making resulting in more productive, cost, and energy efficient operations. Increasing awareness towards a clean environment and optimum utilization of resources in manufacturing motivate us to study cloud manufacturing in the context of sustainability. Therefore, a significant number of social, environmental, and economic factors of cloud manufacturing are identified through literature review, and experts’ opinions and prioritization of these factors are obtained through the AHP and Fuzzy AHP methods. As per the final results obtained, “Efficient use of resources” is the most significant factor for the adoption of cloud manufacturing process and “Remote material monitoring” is the least significant factor amongst all the factors taken under consideration. The results are found to be consistent and accurate as per the value of consistency ratio. And the percentage obtained for social, environmental, and economic factors proves the cloud manufacturing process to be a sustainable manufacturing process.
EN
The origin of a cost-efficient, service-oriented, customer-centric, manufacturing system called cloud manufacturing has evolved due to advancements in cyber systems and the availability of internet facilities worldwide. However, there is a significant number of opportunities before the adoption of cloud manufacturing. Through literature survey, expert opinions from academicians and industrialists, various opportunities, namely, pay-as-use, scalability, cost efficiency, flexibility, autonomy, low-risk backup and recovery, low startup cost and location independence associated with the espousal of cloud manufacturing are identified. Further, the Analytic Hierarchy Process (AHP) model is applied to find the weights and prioritize these opportunities, thereby finding the significant key opportunities. Moreover, the consistency ratio is calculated for the accuracy and consistency of the results. As the obtained value of consistency ratio is less than .1, it shows that the result obtained is consistent and accurate. The managerial implication of these outcomes is that the results would indirectly help entrepreneurs in the adoption of cloud manufacturing.
EN
This paper introduces cloud manufacturing (CMfg) as a new manufacturing paradigm that joins the emerging technologies – such as the Internet of Things, cloud computing, and service-oriented technologies – for solving complex problems in manufacturing applications and performing large-scale collaborative manufacturing. Using scientific publications indexed in Scopus database during the period 2012–2017, the concept and fundamentals of CMfg are presented and discussed given the results of the most recent research. While focusing on the current state of the art, the recent research trends within CMfg concept were also identified. The review involved the methods of bibliometric analysis and network analysis. A prototype of CMfg and the existing related work conducted by various researchers are presented, and the map of co-occurrence is introduced to indicate the most commonly occurring issues related to the “cloud manufacturing” term. The VOSviewer software was used for this purpose. Finally, cloud-based manufacturing areas for further research are identified.
4
Content available Functional requirements for Production Internet (Ψ)
EN
Production Internet as an eco-system built on public infrastructure of Web-services would go beyond the traditional setups of industrial cooperation, as well as existing peer-to-peer services for economic exchanges, like e-sharing, e-tailing or crowd-funding. This paper discusses functional setups of Production Internet. Throughout the practice review and foresight research, the functional needs, requirements and benefits have been identified. The validation of functional specification was performed using a prototype multi-robot setting.
PL
Internet Produkcyjny (Ψ) jako ekosystem bazujący na wykorzystaniu publicznej infrastruktury usług sieciowych, ma wykroczyć poza ramy tradycyjnych form współpracy w przemyśle opartych na usługach peer-to peer, takich jak: e-tailing, e-sharing czy crowd-funding. W pracy przedstawiono wyniki analizy wymogów funkcjonalnych dla Internetu Produkcyjnego. Poprzez przegląd teorii i praktyki, poparty badaniami foresight, zidentyfikowano potrzeby i korzyści oraz typy użytkowników. Walidację koncepcji przeprowadzono przy zastosowaniu opracowanego prototypowego środowiska wielorobotowego.
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