Product portfolio analysis towards operationalising Science-Based Targets
The urge to limit the environmental impacts of human activities within the safe operating space of planetary boundaries to save the Earth is scientifically and politically agreed upon. Based on the Paris agreement, Science-Based Targets (SBTs) are set as Environmental Impact (EI) targets for companies to help them operate within the planetary boundaries. This research aims to develop a dynamic decision support tool for decision making on strategic directions of product families that satisfy not only their profit targets but also their environmental impact targets (SBTs). The proposed methodology applies a suggested framework to assess the Future-oriented Environmental Impact of product families, including a technology prediction model (logistic model) to capture market changes and the consequences of market changes on the EIs of product families. The proposed methodology also includes a Total Profit model and optimisation model (genetic algorithm) to allocate SBTs to product families. Moreover, the application of two suggested matrices, including relative Future-oriented Environmental Impact – Total Profit matrix and the Environmental Impact Reduction Requirement ratio – Total Profit matrix, offers strategic directions to product families towards operationalising SBTs.