Optimeringsmodell för globalt produktionsutbyte : Minimering av produktionskostnad för Scanias motorbearbetning

Sammanfattning: The engine production, machining and foundry at Scania is facing a higher production load and is, very soon, utilizing the whole capacity. Today, two production plants collaborate to meet global demand. However, the global structure of the planning process is missing. In the current situation, no consideration regarding the global capacity and the most cost-effective cross-flow between the production plants are taken into account.   This master thesis aims to develop an optimization model to decide the global cross-flow between the production plants. The purpose is to generate more cost-conscious decisions and a long-term planning structure.   A mathematical optimization model is developed with the purpose of optimizing the cross-flow between the two production plants. The theory of Facility Location Problem (FLP), which includes a set of customers and a set of facilities, is the basis for the optimization model. The customers' demand must be serviced by the facilities at the lowest possible cost. The model is modified to be more customized to the actual problem. Therefore, the facilities are replaced with lines. In the actual problem, one customer and one production plant can be found in Sweden while one customer and one production plant can be found in Brazil. The optimization model minimizes the total cost with respect to production cost, transport cost and inventory cost. To guarantee a possible solution to the problem, virtual lines are added to the model. These lines have a significantly higher production cost and an infinite capacity, however, they do not exist in reality.   There are two versions of the optimization model, one includes time periods and one does not. The demand and capacity are added to a total sum in the optimization without time periods, while the demand and capacity vary from week to week in the version including time periods.   The result shows that the global capacity is enough to service the demand when optimized without time periods. Although, when time periods are included in the optimization the result shows both unused and missing capacity. Additionally, the result presents an increase in the cross-ow between the production plants, from a cost perspective, of both volume and quantity of articles.   In conclusion, the recommendation to Scania is to consider possible actions to decrease the missing capacity to meet the demand in every time period and to increase the cross-flow between the production plants.