Connected production planning and control systems – implementation and the optimization process for subcontracting

Ellwein, Carsten; Elser, Anja; Vollmer, Marcel; Riedel, Oliver

doi:10.1016/j.procir.2020.05.034

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…Evaluating the interaction between people and software can support the development of interfaces that allow improving the UX, and thus meeting the expectations of users. For Ellwein et al (2020), the software development planning should consider presenting solutions to the user during the interaction process.…”

Section: Interactionmentioning

confidence: 99%

User experience: the factors to improve the perception of value in software projects

Idogawa,

Bizarrias,

Martens

et al. 2023

Inter. J. Sci. Manag. Tour.

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Although it is important to design software that can improve the perception of value from the user experience, this subject is dispersed in the literature. The aim of this study is to identify the relevant factors to be considered in software projects to improve the perception of value from the user experience. The method adopted was systematic literature review based on the Scopus and Web of Science databases, when 114 papers were selected for analysis. The results presented the factors: Usability, Design, Loyalty, Quality of experience, Interaction, Satisfaction classified as Psychological dimension, and Innovation and Productivity classified as Operational dimension, which were evaluated as relevant factors to be considered in software projects. The theoretical contribution is to gather these factors to improve the perception of value in software projects dispersed in the literature. The practical relevance is to help software developers design superior software that can improve the perceived value for users. The social contribution is to deliver value to software users by improving their experience.

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Section: Interactionmentioning

confidence: 99%

User experience: the factors to improve the perception of value in software projects

Idogawa,

Bizarrias,

Martens

et al. 2023

Inter. J. Sci. Manag. Tour.

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“…A well-defined CM model is represented here, for example, by the ManuService ontology of Lu et al [4], which realizes a central platform in which nested production processes can be centrally planned via multiple service providers. For this, various variations with individual focuses exist, such as the approaches of the authors regarding a more symbiotic collective formation in the area of collective cloud manufacturing by Strljic et al [5,6] or the distributed production planning with a decentralized model as well as interface definition by Ellwein et al [7,8]. However, due to the complexity of the production processes to be planned and the orchestration of multi-stage value chains, only industrial CM platforms for commissioning manufacturing service providers from the fields of 3D printing, Computerized Numerical Control (CNC) milling technology, or water-steel/laser cutting are offered at the present time.…”

Section: Introductionmentioning

confidence: 99%

Empirical Study on General Purpose Cloud Manufacturing Platforms

2022

Proceedings of WCSE 2022 Spring Event: 2022 9th International Conference on Industrial Engineering and Applications

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Cloud manufacturing is a term that has been used in research since around 2011. In preparing this paper, the focus has shifted to approaches to link complex value-creating networks and a more efficient production utilization of service providers. The interim results of a study presented in this report highlight a section of publicly available industrial cloud manufacturing solutions within the production area of Germany in the fields of 3D printing, Computerized Numerical Control milling technology, and laser cutting in order to observe the industrial use of cloud manufacturing. For the presentation of the interim results, only platforms that offer the addressed manufacturing technologies as an all-in-one solution were considered to start at the highest abstraction of technical depth. For this purpose, reference components within the technology disciplines are defined based on the process characteristics which were evaluated on five cloud manufacturing platforms based on their performance. These platforms were selected through a broad keyword search of publicly available search engines and representative keywords, followed by filtering for a definition of cloud manufacturing and the manufacturing technologies supported. Finally, the results of the evaluation are discussed and the significant observations are highlighted.

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