TY  - JOUR
U1  - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed)
A1  - Schuhmacher, Jan
A1  - Hummel, Vera
ED  - Mourtzis, Dimitris
T1  - Development of a descriptive model for intralogistics as a foundation for an autonomous control method for intralogistics systems
JF  - Procedia manufacturing
N2  - Future intralogistics systems need to adapt flexibly to changing material flow requirements in line with future versatile factory environments, producing personalized products under the performance and cost conditions of today's mass production. Small batch sized down to a batch size of "1" lead to a high complexity in the design and economical manufacturing of these customized products. Intralogistics systems are integrated into higher-level areas (segment level) as well as into upsteam and downstream performance units (system-wide areas). This includes the logistic activities relevant for the system (organized according to storage, picking, transport) such as transportation or storage tasks of tools, semi-finished products, components, assemblies and containers, and waste. Today's centralized material flow control systems, which work based on predefined processes, are not capable and more specifically not suitable to deal with the arising complexity of changeable intralogistics systems. Autononomous, decentralized material flow control systems distribute the required decision-making and control processes on intelligent logistic entities. A major step for the development of an autonomous control method for hybrid intralogistics systems (manual, semi-automated and automated) is the development of a generic archetype for intralogistics systems regarding the system boundaries, elements and relations resulting in a descriptive model taking into account amongst others the time of demand, availability of resources, economic efficiency and technical performance parameters. The ESB Logistics Learning Factory at ESB Business School (Reutlingen University) serves for this as a close-to-reality development and validation environment.
KW  - intralogistics
KW  - autonomous control
KW  - decentralized control
KW  - descriptive model
Y1  - 2018
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-21357
SN  - 2351-9789
SS  - 2351-9789
U6  - https://doi.org/10.1016/j.promfg.2018.04.021
DO  - https://doi.org/10.1016/j.promfg.2018.04.021
VL  - 23
SP  - 225
EP  - 230
S1  - 6
PB  - Elsevier
CY  - Amsterdam
ER  -