HomeLPU-Laguna Journal of Engineering and Computer Studiesvol. 4 no. 1 (2018)

A Production Optimization in Assembly Line at Kawasaki Motors Philippines Corporation Using Linear Programming Technique

Ryan Jeffrey Curbano | L. H. Abas | R. A. Cortez | V.O. N. Lorenzo

 

Abstract:

Kawasaki Motors Philippines is one of the most leading motorcycle brands in the Philippines. It has different units of motorcycle made not only in local, but also in the international market. The researchers were tasked to use Linear Programming of the Operations Research in the Assembly Line of Supply Chain Division as an optimizing tool. It has been found out that they need to come up with a new production plan to fully utilize their system and production. Linear programming is known for minimizing costs and maximizing profits of a certain production. The researchers came up with an idea of identifying the needed constraints in developing a Linear Programming Model to utilize the resources in the KMPC. The study focused on the Assembly Line which almost had the by parts up to the finished goods of Product H. The researchers found a way to minimize the production cost by using Linear Programming model. The researchers gathered the needed data from the company to solve the linear programming model. From their existing total production cost of Php 1,251,358,293.56, it has been minimized to Php 1,248,367,000.00 by using the Linear Programming in LINGO software. It has a difference of Php 2,989,253 of production cost that helps the company to gain more profit. The results obtained from the LP model gave a minimized production costs outcome which means that the formulated model successfully optimized the production.