Globala försörjningsbeslut i en industriell kontext

Purpose – The purpose with this study is to investigate which factors that needs to be considered for sourcing decisions to ensure an optimal long-term decision, and which of these factors that can be quantified in a product costing model. To fulfill this purpose two research questions have been proposed: Which factors needs to be considered for a sourcing decision? Which of these factors that needs to be considered can be quantified in a product costing model? Method – A case study was conducted to fulfill the purpose of this study. The case study produced empirical data through interviews and document studies. The empirical data was interpreted and analyzed on the basis of the theoretical framework, created through literature studies. This process produced the result of this study. Findings – Factors to be considered for a sourcing decision have been identified and categorized in four over-arching categories: unit cost, logistical factors, capability factors and risk factors. These factors have been quantified in a product costing model. A preparatory decision model was created to further integrate some risk factors that could not be quantified. Implications – Both the make or buy decision and the manufacturing location decision have been considered in the product costing model presented in this study. The product costing model visualize and take into account hidden costs, rarely considered in sourcing decisions. This further enables optimal long-term sourcing decisions. Limitations – Risk factors remain difficult to quantify. This makes it difficult to determine the cost of risk factors, and as a result of that, to include them in a product costing model. Companies with similar conditions suites the model since the case study was conducted at only one company. Whether the product costing model is true for business in other contexts remain uncertain.