Section outline
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After integrating the concept of service manufacturing and cloud manufacturing, receiving the demand to implement system services in the cloud, we now advance to a central problem: how to model and design such systems. The current design challenge was enhanced by the concern with flexibility and interoperability, leading to questioning the use of traditional design methods. The primary approach is to go for systems design, and especially to Model-Based System Engineering. However, this consolidated design process is functional and does not include the design of services, demanding some adaptation. The first drawback will be addressed by introducing a Goal-Oriented approach, mainly for the requirements phase (GORE-Goal-Oriented Requirements Engineering). The KAOS method will be pointed out as a good candidate, but it also has a drawback: it was developed for software systems only, not for systems in general. In this class, we highlight the advantages of using, for instance, the support of KAOS to design System Service, and will elaborate on the drawbacks in the next class.
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MaaS Systems Design methods
We devised a target system in the previous modules: a cloud environment framework to model and design a distributed manufacturing based on services. We also model process operations to manufacture a product/service and manage their value co-creation. It looks like a very ambitious goal (and it is), but it is also why MaaS design would need new methods and approaches, instigating the academy and current research. On the other hand, finding new methods and developing design frameworks are key issues for the market, which is eager to find sound pathways toward I4.0 and I5.0.
In this class, we will seek a more comprehensive understanding of this problem, its dimensions, and complexity and discuss some alternatives to methods and approaches for MaaS design.
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Aljahdali, S., Bano, J., Hundewale, N.; Goal-Oriented Eng. - A Review. Int. Conf. on Computer Appl. in Industry and Engineering, 2011.