A production planning method to optimally exploit the potential of reconfigurable manufacturing systems

Hees, Andreas ; Bayerl, Christina ; Van Vuuren, Brian ; Schutte, Corne S. L. ; Braunreuther, Stefan ; Reinhart, Gunther (2016)

CITATION: Hees, A., et al. 2017. A production planning method to optimally exploit the potential of reconfigurable manufacturing systems. Procedia CIRP, 62:181-186, doi:10.1016/j.procir.2016.06.001.

The original publication is available at http://www.sciencedirect.com

Article

ENGLISH ABSTRACT: Manufacturing companies must operate in a dynamic environment. Consequently, companies constantly have to adapt their manufacturing systems to stay competitive. One approach to ensure the success of manufacturing companies is to use reconfigurable manufacturing systems (RMS). Current production planning methods cannot quickly realize the production-side adaptions available in RMS and are limited in flexibility. A novel production planning method to optimize the potential of RMS is presented in this paper. First, the key characteristics and planning requirements for an RMS are defined. A feasible configuration is then determined, using a planning method based on mixed integer linear programming (MILP) to realize capacity scalability and functionality changes within planning processes. Finally, an application scenario to validate the method is outlined.

AFRIKAANSE OPSOMMING: Geen opsomming beskikbaar

Please refer to this item in SUNScholar by using the following persistent URL: http://hdl.handle.net/10019.1/102412
This item appears in the following collections: