Today, the changes in market requirements and the technological advancements are influencing

the product development process. Customers demand a product of high quality and fast

delivery at a low price, while simultaneously expecting that the product meet their individual

needs and requirements. For companies characterized by a highly customized production, it

is essential to reduce the trial-and-errors cycles to design new products and process. In such

situation most of the company’s knowledge relies on the lessons learnt by operators in years

of work experience, and their ability to reuse this knowledge to face new problems. In order

to develop unique product and complex processes in short time, it is mandatory to reuse

the acquired information in the most efficient way. Several commercial software applications

are already available for product lifecycle management (PLM) and manufacturing execution

system (MES). However, these two applications are scarcely integrated, thus preventing an

efficient and pervasive collection of data and the consequent creation of useful information.

The aim of this paper is to develop a framework able to structure and relate information

from design and execution of processes, especially the ones related to anomalies and critical

situations occurring at the shop floor, in order to reduce the time for finalizing a new product.

The framework has been developed by exploiting open source systems, such as ARAS

PLM and PostgreSQL. A case study has been developed for a car prototyping company to

illustrate the potentiality of the proposed solution.

The problem of gender imbalance in Polish science is a clear and widely documented fact confirmed by numerous scientific studies. The gender imbalance affects both women and men depending on scientific disciplines and the level of scientific careers. The sources of this situation, leading to morally unacceptable exclusion of certain demographic groups and the underutilisation of society's full intellectual potential, are both 1) cultural and social aspects and the associated prejudice and discrimination, and 2) institutional aspects, including, inter alia, low and unequal salaries and the widespread use of anachronistic models of assessing scientific excellence that exclude non-traditional career paths and ways of conducting scientific research. In order to broaden the public dialogue on the gender imbalance in science in Poland, on 10.02.2023, the Polish Young Academy of the Polish Academy of Sciences (PAS), together with the National Science Centre, the Office of Science Promotion of the PolSCA PAS in Brussels and the Research Centre for Women's Participation in Public Space of the UAM in partnership with the L'Oreal Foundation, organised a conference entitled “Research excellence has no gender”. The event, attended by representatives and authorities of many organisations of the scientific community in Poland, inaugurated a long-term programme under the name “Research excellence has no gender”. The event aimed to draw attention to the existing disparities in science and the need to develop and introduce changes to reduce these disparities.