New methods and tools for the design of production systems should be used in order to provide advanced services to the industry shop-floor personnel in terms of ergonomics, safety, efficiency, complexity management and work satisfaction. In the field of planning and verifying human-centred assembly workplaces, available simulation and sensor technologies should be further improved. In many cases, task execution at shop-floor differs from the planned process.The main idea of the project is to utilize workers' knowledge on executing manual assembly tasks and include it in the digital tools used to support design, verification, validation, modification and continuous improvement of human-centred, flexible assembly workplaces. This kind of knowledge will be retrieved from workers' actions using low-cost and non-intrusive sensor and tracking technology that can be applied during assembly process execution and will be used for improving the precision and accuracy of digital human process simulation tools, thus achieving faster ramp-ups and first-time-right assembly processes.• Shop-floor sensing architectures that incorporate new low-cost sensor systems for retrieving real-time data about human-based work activities.• Advanced methods and tools for the automated recognition and classification of assembly operations from sensors data.• Efficient generation and modification of accurate manual assembly simulation models. Methodology for reliable, cost-effective and fast ways to generate manual assembly operation models from semantic task description and sensor data.• Development of smart applications for continuous improvement of the human-centered manual assembly workplace. Shop-floor applications will be deployed as "apps" through an Enterprise Application Store, following the smartphone and tablet device paradigm.A demonstration phase will apply the prototypical results in two complementary industrial pilot cases (automotive industry, professional white goods)