Abstract

Transporting massive amounts of oil products, it is essential to optimize the total efforts from leaving origins (refineries) until reaching destinations (depots). In this paper, integer mathematical programming model were developed to satisfy this oil transportation optimization problem. Specifically, it is dedicated to obtain refineries -to-depots optimal assignments by setting distance and cost minimization as the objective function. The adopted approach is to run the program using I-Log software. The used data was selected from some of the real case study. Thus, the outcomes of this study are highly feasible in reality to achieve the best refinery -to- depots assignments with the minimized total transportation distance as well as the total transportation cost.

Key words: Transportation, inventory, decision support system, linear programming (LP), oil refinery.