Dynamic interdependencies of globalisation force companies and supply networks (sn) of series and mass production to adapt their value creating processes to local conditions of production. The harmonisation of sales order flows with all relevant value added processes seems to be a core action in that progress. To apply this superior goal to the automotive industry, the paper describes an approach of implementing the pearl chain ppcs into running processes. Principal component of the system is the sequencing of production orders according to sales orders. These are to be driven stable and sequence fixed over all components of the value creation system following the pull-principle. In reality though, first trials of running a pearl chain sequence turned out to be disturbed by turbulences during the production process. The paper thus focuses on analysis, evaluation and benchmarking of detected technical and organisational turbulence-drivers in production processes. In a first part, literature research regarding car sequencing algorithms will be presented. In further progress we will describe the segmentation of main production processes into actions of crafting. This is enforced by data collection about local and temporal occurrence of turbulences. The basis for the following analysis of the data will be a process database. Subsequently an analysis of production orders with critical contents at detected turbulence-drivers will be performed. Turbulence drivers then will be investigated and evaluated for possible remodelling by function FMEA. This approach implements an increasing of process stability, the limitation of sequencing criteria and avoidance of turbulences. The overall effect of proceeding that way would be a raise in planning and process stability.
Analysing turbulences in sequence fixed production systems according to the pearl chain production planning and control system (ppcs)
2009
8 Seiten, 14 Quellen
Conference paper
English
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