TY - GEN
T1 - Optimization model of ready-mix concrete delivery route and schedule
T2 - 3rd International Conference on Computational Intelligence and Applications, ICCIA 2018
AU - Syahputra, Rahmat Hidayat
AU - Komarudin, Komarudin
AU - Destyanto, Arry Rahmawan
PY - 2018/7/2
Y1 - 2018/7/2
N2 - The focus of national development on the infrastructure sector impacts on the rapid growth of the construction market. High demand and complex business processes make ready-mix concrete producers especially in Jakarta no longer able to rely on route planning and manual scheduling mechanisms, which have been some delays in deliveries that impact on the decline in service level. This research proposes an optimization method based on mixed integer linear programming on route planning mechanism and scheduling of ready-mix concrete delivery developed in Java language with Gurobi optimization library support. The simulation is done using the companys historical data of the research object, which is one of the ready-mix concrete producers in Jakarta. From the four simulations, the best output resulted with a total cost of - 3674 and a gap of 0.49%, where all customer requests are met in the given time window. These results indicate that the optimization model developed in this study can yield the optimum solution for route planning mechanism and ready-mix concrete delivery scheduling.
AB - The focus of national development on the infrastructure sector impacts on the rapid growth of the construction market. High demand and complex business processes make ready-mix concrete producers especially in Jakarta no longer able to rely on route planning and manual scheduling mechanisms, which have been some delays in deliveries that impact on the decline in service level. This research proposes an optimization method based on mixed integer linear programming on route planning mechanism and scheduling of ready-mix concrete delivery developed in Java language with Gurobi optimization library support. The simulation is done using the companys historical data of the research object, which is one of the ready-mix concrete producers in Jakarta. From the four simulations, the best output resulted with a total cost of - 3674 and a gap of 0.49%, where all customer requests are met in the given time window. These results indicate that the optimization model developed in this study can yield the optimum solution for route planning mechanism and ready-mix concrete delivery scheduling.
KW - Concrete delivery
KW - Mixed integer programming
KW - Programming Gurobi
UR - http://www.scopus.com/inward/record.url?scp=85066307017&partnerID=8YFLogxK
U2 - 10.1109/ICCIA.2018.00012
DO - 10.1109/ICCIA.2018.00012
M3 - Conference contribution
AN - SCOPUS:85066307017
T3 - Proceedings - 3rd International Conference on Computational Intelligence and Applications, ICCIA 2018
SP - 21
EP - 25
BT - Proceedings - 3rd International Conference on Computational Intelligence and Applications, ICCIA 2018
PB - Institute of Electrical and Electronics Engineers (IEEE)
Y2 - 28 July 2018 through 30 July 2018
ER -