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In the manufacturing industry, flexible manufacturing systems (FMS) are gaining importance in meeting the demand for product customization while maintaining high manufacturing efficiency. The digitization of physical manufacturing additionally expands the relevance of industrial communication networks, resulting in complex interactions of material, energy and information flows that pose challenges for the manufacturing system design. Existing decision support frameworks for the design of FMS mainly incorporate the evaluation of the material flow. A holistic view of FMS requires the consideration of the interdependencies of the material, energy and information flow. Particularly, the performance of the material flow of a manufacturing system increasingly depends on the information flow of the connected communication network. Against this background, the paper presents a simulation-based framework that enables the integrated quantitative evaluation of material, energy and information flows in FMS as decision support in manufacturing system design. The framework contains a modular reference model of a generic FMS and its communication network to reduce modeling efforts. It further provides a procedure and an evaluation model that enable a multi-criteria comparison of different FMS configurations. The functionality and benefits of the developed framework are examined with the help of an exemplary case study involving an FMS for producing and recycling polymer parts.
In the manufacturing industry, flexible manufacturing systems (FMS) are gaining importance in meeting the demand for product customization while maintaining high manufacturing efficiency. The digitization of physical manufacturing additionally expands the relevance of industrial communication networks, resulting in complex interactions of material, energy and information flows that pose challenges for the manufacturing system design. Existing decision support frameworks for the design of FMS mainly incorporate the evaluation of the material flow. A holistic view of FMS requires the consideration of the interdependencies of the material, energy and information flow. Particularly, the performance of the material flow of a manufacturing system increasingly depends on the information flow of the connected communication network. Against this background, the paper presents a simulation-based framework that enables the integrated quantitative evaluation of material, energy and information flows in FMS as decision support in manufacturing system design. The framework contains a modular reference model of a generic FMS and its communication network to reduce modeling efforts. It further provides a procedure and an evaluation model that enable a multi-criteria comparison of different FMS configurations. The functionality and benefits of the developed framework are examined with the help of an exemplary case study involving an FMS for producing and recycling polymer parts.
In the fields of business process modeling, logistics, and information model development, Reference Models (RMs) have shown to enhance standardization, support the common understanding of terminology and procedures, reduce the modeling efforts and cost through the paradigm “Design by Reuse”, and enable knowledge transfer. Utilizing RMs in Building Performance Simulation (BPS) shows potential to achieve similar benefits. However, there is no universally agreed understanding of RMs. In a previous scientific publication, we provided a comprehensive overview of the diversely interpreted definitions, benefits, and attributes of RMs and related terms. Additionally, to transfer the approach of RMs to BPS, a definition for RMs applicable to BPS has been provided, and the identified RM qualities were matched with BPS’s challenges. However, a sound evaluation of the success of transferring RMs to BPS is lacking. Therefore, this scientific contribution firstly includes the analysis conducted in the previous scientific contribution constituting a common understanding about RMs and their elements for BPS. Secondly, by conducting expert interviews, the applicability and validity of the developed concept of RMs for BPS are surveyed. In total, ten experts (seven BPS experts and three RM experts) evaluated the quality of creating transparency about the understanding of RMs and the level of success of their transfer toward BPS. The experts consistently see a great benefit of RMs in BPS, but for BPS experts the transfer and possible application of RMs in BPS is not sufficiently clear. Accordingly, the key output of the conducted survey is that a clearer and more detailed application example, e.g., describing at a more easy-to-understand level of detail an exemplary class of the provided example of an RM, is required for a more profound transfer of RMs to BPS.
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