Chemistry Lab Software: Quality Control

Our products for quality control and quality assurance
Any product is only as good as the quality of its manufacture and testing. Every company is under the observation of its customers and commercial success depends on the flexibility of the company to respond to customer requirements but also on the cost of production. During production (coupled production, batch production), fast and safe processes in the laboratory are expected, which are among the most important factors for the success of any company. The tasks of quality control/quality assurance accompany the manufacturing process from the receipt of goods, through production-related inspections, filling and storage, to delivery and deviation management.

Our laboratory software products can support you in the tasks of quality control and quality assurance in the field of chemistry, thus saving you time and money. The following shows which software can assist you with your requirements:

  • Management of specifications, test plans, methods (LABS/Q)
  • Check order processing / deviation management / stability (LABS/Q)
  • Internal quality control of the laboratory (LABS/Q)
  • Graphical and statistical evaluations, reports (LABS/Q)
  • Method transfer and ring tests (VALIDAT)
  • Revalidation of revised methods (VALIDAT/method validation)
LABS/Q LIMS

Research and development in the chemical industry

Your requirements for petrochemical / chemical laboratory software
In the chemical industry, in addition to the synthesis of new chemical substances, their production and quality in particular are continuously monitored and improved. The aim here is to reduce production costs. The costs of the input materials, the production process and environmental protection all play a major role.

Our laboratory software for your needs
The products of our diverse range can support you in your tasks, as well as save time and money. Are you looking for the right software for your laboratory? Please contact us, we will be happy to advise and support you in finding the best solution for your specific problems. (Contact to iCD)

Our software solutions at a glance
In the following, it is shown for which tasks in the field of chemistry/petrochemistry the offered laboratory software can support you and thus save you time and costs:

Laboratory software petrochemicals

Production in the chemical industry
The flow of information from production to quality control and vice versa, necessary in the petrochemical industry, is covered by the LABS/Q® laboratory software. Via interfaces, e.g. to ERP systems, production orders can be imported. According to the rules defined in the master data the sample location specific and operation specific in-process control test orders and the release test order are created automatically. Packaging and the creation of customer-specific certificates upon delivery are also supported. Results and usage decisions can be transferred to the ERP system or viewed by the production plant in the petrochemical laboratory software LABS/Q®.

Environmental monitoring in the chemical industry

Support from the iCD laboratory software
In the chemical industry, continuous monitoring of the environment (e.g. waste water, immissions, emissions, etc.) during production is indispensable. In accordance with the legal and approval requirements, test orders can be generated, processed and evaluated manually or automatically for the most varied measuring points and samples (e.g. random sample, 2 hour collective sample, etc.). In conjunction with DCS data, the corresponding freight rates can also be calculated and reports for authorities can be generated.

With our environmental monitoring laboratory software LABS/Q® you receive a LIMS software with its own module for hygiene and environmental monitoring. With this module, production-accompanying and scheduled tests at 1 to n sample points can be automatically triggered by so-called project orders. A group report function in connection with the LABS Graphic enables a comfortable, graphical as well as statistical evaluation of the data.