The construction industry stands for a third of the total carbon dioxide emissions globally , this includes the building process as well as the usage of the buildings. This in combination with the need for renovating older buildings in Sweden can lead to additional stress on the environment. This project aims to map out the decision-making process for property owners and consultants when working with renovation projects. The purpose of the study is to identify problematic areas that hinder efficient decision-making and sustainability efforts. With the problem areas mapped out, different solutions containing artificial intelligence will be explored and discussed. Ethical implications with the implementation of artificial intelligence will also be discussed in this study. In this qualitative study, a set of steps were taken to answer the research questions. Firstly, a literature review was conducted to explore existing research. Secondly, semi-structured interviews were held to gather empirical data. Lastly, the interviews were transcribed and analyzed with thematic analysis, to identify problematic areas in the renovation projects. The research strategy applied for this study is abductive. Due to the existing pandemic, the usage of software such as Zoom and Microsoft Teams have been used to conduct the interviews. The results show that the factors hindering the decision-making process were regulations & laws, economy & sustainability, lack of recycling, and lack of documentation. These were areas that both the consultants and property owners described as bottlenecks in the decision- making process. Artificial intelligence solutions were discussed for the problem areas regulations & laws and economy & sustainability because there is statistical data that could be used for training an artificial intelligence, unlike the other two problem areas that have to be dealt with manually due to the neglect of workers. The artificial intelligence solutions presented in this study can be considered ethical due to their assisting purpose. Although this research provides ideas for the implementation of artificial intelligence they are very brief and theoretical, further development and exploration are needed to implement the solutions.

Globalization and market competition drives new product development. As a consequence, companies are forced to eliminate products more frequently. However, the process of eliminating products is often overlooked both in academia and in practice. Omitting the product elimination process can lead to production inefficiencies and unnecessary costs of retaining the products. The results in this thesis discovers inconsistencies in the present product elimination process at PharmaCompany. The inconsistencies are grouped in the four categories: Interaction & Collaboration, External Analysis, Resource Prioritization & Decision Making, Proactivity Analysis. The main suggested improvements comprise a clearer internal communication, increased documentation and restructuring the current process design. In addition, reframing the current elimination process to emulate the academical approach is suggested in order to further legitimize the elimination process and increase interest on the area. The thesis concludes that a more standardized elimination process can lead to increased efficiency by adopting additional filters to identify and analyze underperforming products. Furthermore, the thesis increases awareness of the topic of product elimination and enhances the knowledge within the research area. By linking the product elimination process to the resource allocation process, the thesis marks the overall neglect of the topic, and gives insights on the need for increased attention towards the product elimination process. / Globaliseringen och ökad konkurrens har drivit på ny produktutveckling. Som en konsekvens tvingas företag att eliminera produkter mer frekvent. Borttagning av produkter har dock förbisetts både i den akademiska världen och i praktiken till förmån för andra forskningsämnen. Att utelämna produkt elimineringsprocessen kan leda till produktionsineffektivitet och onödiga kostnader för att behålla produkterna. Avhandlingen resulterar i upptäckten av flera brister i den nuvarande produktelimineringsprocessen på PharmaCompany. Bristerna är grupperade i större kategorier, Interaction & Collaboration, External Analysis, Resource Prioritization & Decision Making, Proactivity Analysis. De viktigaste föreslagna förbättringarna innefattar tydligare intern kommunikation, ökad dokumentation och omstrukturering av den nuvarande processdesignen. Dessutom föreslås omramning av den nuvarande eliminationsprocessen för att efterlikna den akademiska metoden för att ytterligare legitimera eliminationsprocessen och för att få högre prioritet inom resursallokeringsprocessen. Avhandlingen drar slutsatsen att en mer standardiserad eliminationsprocess kan hjälpa processen att bli effektivare genom att använda fler filter för att identifiera och analysera svaga produkter. Dessutom ökar avhandlingen medvetenheten om ämnet produkteliminering och förstärker kunskapen inom forskningsområdet. Genom att länka produktelimineringsprocessen till resursallokeringsprocessen markerar avhandlingen den övergripande försummelsen av ämnet och ger insikter om behovet av produktelimineringsprocessen behöver få högre fokus och forskning.