Bitte benutzen Sie diese Referenz, um auf diese Ressource zu verweisen:
Volltext verfügbar? / Dokumentlieferung
doi:10.22028/D291-39346
Titel: | A new approach to plan manual assembly |
VerfasserIn: | Manns, Martin Fischer, Klaus Du, Han Slusallek, Philipp Alexopoulos, Kosmas |
Sprache: | Englisch |
Titel: | International journal of computer integrated manufacturing : IJCIM |
Bandnummer: | 31 |
Heft: | 9 |
Seiten: | 907-920 |
Verlag/Plattform: | Taylor & Francis |
Erscheinungsjahr: | 2018 |
Freie Schlagwörter: | Assembly planning stochastic models manual assembly human motion modelling |
DDC-Sachgruppe: | 600 Technik |
Dokumenttyp: | Journalartikel / Zeitschriftenartikel |
Abstract: | Today’s methods for planning manual assembly processes have been developed for many decades. Besides technical advances, organisational innovations such as concurrent engineering have made a major contribution to both cost and quality of the final product. However, mass customisation and personalisation of products have imposed additional requirements. Planning should be performed for many different product variants while at the same time planning cost and time to market should be kept at a minimum level. The objective of this paper is to present a new approach for planning of manual assembly processes that goes beyond established industry practices, which has the potential to provide planning teams with tools to evaluate different assembly process scenarios faster, eliminating the need for physical prototypes. The approach is based on controlled natural language textual descriptions of assembly tasks, automatic generation human motions from the textual descriptions based on data-driven, statistical motion models and interactive process optimisation. The proposed method is evaluated in a pilot case from automotive industry regarding ease of use, extensibility, adaptability, motion realism and motion diversity. Results suggest that while the approach addresses practical needs of production planning, technical challenges remain in order to make it ready to be implemented into digital planning environments. |
DOI der Erstveröffentlichung: | 10.1080/0951192X.2018.1466396 |
URL der Erstveröffentlichung: | https://www.tandfonline.com/doi/full/10.1080/0951192X.2018.1466396 |
Link zu diesem Datensatz: | urn:nbn:de:bsz:291--ds-393469 hdl:20.500.11880/35477 http://dx.doi.org/10.22028/D291-39346 |
ISSN: | 1362-3052 0951-192X |
Datum des Eintrags: | 22-Mär-2023 |
Fakultät: | MI - Fakultät für Mathematik und Informatik |
Fachrichtung: | MI - Informatik |
Professur: | MI - Prof. Dr. Philipp Slusallek |
Sammlung: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Dateien zu diesem Datensatz:
Es gibt keine Dateien zu dieser Ressource.
Alle Ressourcen in diesem Repository sind urheberrechtlich geschützt.