Aggregate planning for Jabil Vietnam

Abstract

Forecasting is one of the most important steps in planning for production. With the precise forecasted demands as the inputs, the production plan can be more accurate. Furthermore, the performance of the production system depends completely on the plan for production. This research has the topic to develop decision support tools for building aggregate production planning based on goal programing, case study for Jabil Company. In Jabil, the production type is mostly lot size production, which means that the production has to be based on the demands or order from customer so the more accurate the plan, the more efficiency the result will be. In this thesis, goal programing concept is used to solve the production-planning problem, especially for Jabil local data. By applying this method, the trend of the market could be identified, which could support the company to determine the future demands. This study also applied CPELX 12 after develop the mathematical model and collecting data. Additionally, MS Excel VBA 2016 will help automate the program. Keywords: Goal Programming, Demand Forecasting, Aggregate Production Planning, Regression Analysis, Allocation Problem