Sviluppo di un framework per la misurazione e il benchmarking delle performance ambientali nel settore degli scarponi da sci: il caso Tecnica Group.

Every year thousands of pairs of skiboots are thrown out to landfill or incineration. Tecnica Group is adressing for the first time this social and environmental iussue developing a logistic system able to recycle old skiboots. This is one of LIFE projects that has been approved and funded in year 2020 by the European Commission. One of the main topics of this project is the assessment of how much GreenHouse Gasses (GHG) emissions are going to be reduced with the new logistic system. No one has already fixed internally a baseline through which it is possible to refer the environmental impacts of the newer collections which are planned by the company to be more sustainable. In this work I have applied for the first time the LCA metodology to a skiboot. The goals of the study are two: one is to develop a framework able to generalize the Tecnica Group collection into three classes of skiboots and the other is to build models in order to measure the environmental performance of these classes and to determine a baseline for the year 2020. The framework explained in this study has divided the Tecnica Group ski boots 2020 production into a few catogories for each of the four different levels selected. This has been done exploiting information from the Brands, such as commercial parameters, material choices and other main characteristics of the ski boots. Only the most representative categories are considered restricting the collection of almost 250 models into three classes. The data inventory is based mostly on primary data. Since there was lack of informations in literature or databanks regarding the environmental impacts of some materials a great effort was done searching for certifications or asking directly data from furnitures companies. The assessment of the potential environmental impacts is focused on the Climate Change impact category. The model was developed through the LCA software SimaPro 9.1 and the datasets Ecoinvent 3.6. The model has been built successfully and it gave us worthful results. The first one is the identification of the critical production steps useful for the company to adress a better improvement of the environmental performances in the future. The second one is the highlighting of some limitations due to the absence of a standardized method for measuring the life time of the three classes, already known different from common experience.