The project addresses challenges of creating solutions for a future sustainable pig production. A data warehouse platform was developed to act as a linkage point between farm hardware systems and enduser farmers. This can be used as a data collection and analysis system, with DSS models to simulate realistic scenarios and support informed decisions and can be used in the planning‐process for new farms, facilitating environmental protection and social acceptability. A dynamic model called ThermiPig was developed and implemented in Python by combining a pig growth and a bioclimatic model. It allows simulation of the thermal balance of a fattening room in different climatic conditions (localisation, season), depending on room characteristics such as insulation, equipment, climate control box settings, pig management (type, body weight range, …) and feeding strategy (feeding level, ingredients, nutrient supplies …). Based on a multi‐criteria assessment of pig performance (growth, environmental impact, margin over feed and electricity costs), the model can be used to optimize the farmers’ decisions in terms of management or equipment use. The ThermiPig application programming interface and a data warehouse make web simulations accessible to end‐users. An optical system using deep learning along with machine vision techniques has been developed to provide the possibility to monitor lying, standing and activities of pigs in barns and provide early warning of problems. This delivers a valuable tool to improve welfare and health of the animals, and thus economic competitiveness and social acceptability. Sensor data analysis and fusion show unsteady pattern and spatio‐temporal distribution of barn climate data and levels of noxious gases which have impact on pig performance and welfare. Reduced ammonia emission and improved hygiene are crucial for environment protection and social acceptability, creating improved economic competitiveness. Pig cooling with showers over the slatted area, as well as increasing air velocity at pig lying area, were cost‐effective options for mitigation of ammonia emissions and heat stress. Showers performed better overall, both from an environmental and economic perspective. Models to assess the trade‐offs between environmental and bio‐economic impacts of different strategies for pig housing and manure management were developed. Project website along with dissemination activities is regularly updated and available publicly (http://pigsys.eu/).