Project/combined industries performance

A zoell-p)lanned and managed pharmaceutical research and development (R D) portfolio can be defined as "The combination of a// R D projects, that based on past company and industry performance. 

In particular the recent investigation as part of the project Smart Sol-vents/Smart ligands of the SLPC with PEG and ionic Hquids ( SILP ) as the catalyst carrier opened up new possibihties for the immobihzation of homogeneous catalysts. By increasing the stabihty of the catalytic performance, this concept may have the potential to be kept in mind for industrial catalysis in combination with environmentally benign supercritical or compressed carbon dioxide. In addition, this methodology is able to provide access to some chemical applications and processes because of the easy and facile preparation of the coated materials. 

ABSTRACT Since the standard EN ISO 13849-1 became effective in December 2012, manufacturers in the area of the machine tool industry have to assess the functional safety of the safety-related functions in a probabilistic quantitative way. Due to the specifications of the standard in combination with little experience and few existing quantitative data in the machine tool industry, manufacturers have huge problems by adapting the new requirements. The presented research project tries to develop an alternative and practicable procedure which shall allow the manufacturers to fulfil the normative requirements with a proven in use approach. Therefore, as shown in the ESREL-paper 2013, a first data analysis of real field data was performed to proof if the available field data in the machine tool industry is useful to develop a proven in use approach. Further the standard includes assumptions concerning the failure behaviour of the components, which were also checked with the first field data analysis. The first examination included the reliability of the analysed systems. To realise an approach for the Functional Safety of safety-related functions it is necessary to analyse these functions separately on the basis of field data. The aim and content of the presented paper is to extract the safety-relevant information out of the checked reliability field data. Afterwards, the safety-related field data has to be further analysed to identify those data that are responsible for one exemplified single safety-related function. Consequently, the received quantitative results can be compared with the requirements of the EN ISO 13849-1. 

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