Proper preparation of the technical documentation is foundational to the entire production process, extended to the subsequent stages of component distribution, that is sales, logistics and installation, at which these documents are essential. In this area, automation has a series of essential benefits:
The system designed for WEBA supports the acquisition of information from the production floor, regarding the serial numbers, index numbers, parameters, materials, production numbers, completion dates and many others. In addition, it ensures connection with external documentation, such as approvals, warranties and certificates, and improves the support of queries or preparation of the documentation necessary for tendering or quoting.
The high complexity of preparation of the documentation required and subject legal requirements (O&MM).The common problem faced by companies in the industry, in the range of available resources and developed methods.
The magnitude of the collected paper documents that require appropriate storage.The significant amount of time of qualified personnel used for preparation and review.
Repeating complaints and great number of tender bids rejected due to the failure to meet the requirements by incomplete, delayed or improper documentation.
The technical documentation generation process is automatic. Its availability at the early stages of implementation of processes supports timeliness.Innovative solutions that provide a competitive advantage in the market increase the chance of gaining customers.
Documents in electronic form, stored on the cloud server.Less personal and temporal resources are required to achieve the same objective.
Streamlined collaboration and communication with customers, reduced total time of order configuration and task completion.Effective involvement in tenders with appropriate preparation and fulfilment of the requirements.
The technical documentation generator faced us with the reliability requirement. We ensured the unfailing confidence of error-free and reliable database management and integrity testing. To achieve this objective, we used non-relational database management systems, such as MongoDB, PostgreSQL. Automatic tests were conducted using the Python language. The use of our well-known PHP7 was required as well.
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