CCM Import Export is a Romanian company active in the market of Romania and other European Countries. We offer turn-key solutions for cleanrooms ISO9 to ISO5 according to ISO14644.
Thanks to our experience obtained in planning and following the investments, we cover a vast range of services, from analysis to economical-financial strategies, till technical solutions adapted to our clients’ needs and and specific quality requirements, costs and terms. We offer a complete package of services, adding plus-value to our client’s investments by precise control of parameters that leads to success: quality, value, time, flexibility, risk management.
Our team is formed by specialists involved in all stages of making the project, analyzing the requirements, following the works progress, estimating the risks and changes, representing professionally the clients.
Knowing that every client is unique, we assure that our services will be rigorously adapted to your projects.
Founding member of the Romanian Association of Clean Rooms ARCC
Member of the Technical Standardization Committee for Clean Rooms within ASRO
Thanks to our team of specialists, we are able to offer you complete solutions according to your requirements.
Since 1998, we imposed our self in different markets with professional implication in complete services CEPCMV
(Consulting, Engineering, Procurement/Procurement Management, Construction Management, Validation),
for different activity areas:
pharmaceutical and biotechnological industries
agro-food industries
quality control laboratories for different industries
automotive &
hi-tech industries
public health (hospitals, laboratories)
R&D stations for different industries
STANDARDS
All works carried out by CCM IMPORT-EXPORT are in accordance with international standards in the field:
- Good Manufacturing Practices (GMP)
- ISO 14644
- Good Laboratory Practices (GLP)
- Good Engineering Practices (GEP)
- Good Automatation Practices (GAP)
Note: uncertainties related to the measurement process require that concentration data with no more than three significant figures be used in determining the classification level