A decision support system for supply parts planning of operation with uncertainty of supply and demand in the notebook computer industry

This study explores multi-plant manufacturing problems in their key supply parts planning, and proposes a complete programming model. Furthermore, since multi-plants face product uncertainty demand in the market as well as uncertainty of supply part quantities from suppliers, manufacturer's decision-making operations will be studied. If the supply and demand data are sufficient, frequency of demand and quantities of demand will be used to conform the Poisson and Normal distribution; otherwise, if the supply and demand data are insufficient, triangular fuzzy number of function will be used to estimate the uncertainty probability function. It's expected that in uncertain circumstances of supply and demand, the manufacturer will be able to make an appropriate adjustment of production level, and make a procurement decision that will lead to the greatest profit in a single period. The decision support system of application will be illustrated with the notebook computer industry taken as the focus of the study.