Creation of configurations for an assembly system with a scalable level of automation
| Autor: | Tom Stähr, Gisela Lanza, Lucas Englisch |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
Computer science Process (engineering) Scenario Analysis fuel cell production 02 engineering and technology Changeability 010501 environmental sciences 01 natural sciences Business Process Model and Notation 020901 industrial engineering & automation Production (economics) Scenario analysis Adaptation (computer science) Engineering & allied operations 0105 earth and related environmental sciences General Environmental Science Flexibility (engineering) business.industry Scalability Automation Industrial engineering General Earth and Planetary Sciences PEMFC ddc:620 business |
| Zdroj: | Procedia CIRP, 76, 7–12 |
| ISSN: | 2212-8271 |
| Popis: | Due to shortened product lifecycles and an increasing number of variants, the need for scalable assembly systems is rising. This trend is even stronger in the production of emerging technologies. An important step in the planning of a scalable assembly system is the creation of system configurations. State of the art is a scaling of the system from a manual, over semi-automated to an automated system during the start of production. This process is very rigid and does not offer the flexibility which is necessary to react to highly volatile influencing factors. The authors have identified the urgent need for a thorough scenario analysis to adequately consider the risk in predicting volatile influencing factors. In this paper, a two-part methodology is proposed considering multiple scaling mechanisms allowing for a swift and cost-effective adaptation to external factors. The first part is concerned with the scenario analysis. In this part, the planner has to identify the volatile receptors that influence their production. For each of the identified receptors, market studies and workshops with internal experts are conducted to develop a detailed scenario analysis, modelled in a modified BPMN logic. In the second part, the planner needs to develop production system configurations according to the results of the scenario analysis. The appropriate scaling mechanisms are chosen based on the volatile receptors. The application of these mechanisms on station level results in various station concepts satisfying the entire range of expected values within the volatile receptors. |
| Databáze: | OpenAIRE |
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