TY - JOUR
T1 - Multi-objective optimization of petroleum product logistics in Eastern Indonesia region
AU - Surury, Farhan
AU - Syauqi, Ahmad
AU - Purwanto, Widodo Wahyu
N1 - Funding Information:
The authors are grateful to DRPM UI for supporting work financially under the “ Hibah Publikasi Terindeks Internasional (PUTI) Q2 Universitas Indonesia ” year 2020, contract number NKB-1747/UN2.RST/HKP.05.00/2020 .
Publisher Copyright:
© 2021 The Authors
PY - 2021/9
Y1 - 2021/9
N2 - The transportation sector is one of the largest fuel consumers and pollutant contributors worldwide. The International Maritime Organization predicts that the greenhouse gas (GHG) emissions from transportation will be increasing significantly until 2050, driven by the growth in global maritime trade. Managing logistics distribution routes is considered a possible approach for controlling GHG emissions. This study aims to implement a green logistics concept in the logistics distribution of petroleum products—gasoline, kerosene, and diesel—in eastern Indonesia, whose supply sources are refineries located in Balikpapan and Kasim. A multi-objective approach is used to implement the green logistics concept. Multi-objective optimization is conducted using the AIMMS software to optimize a logistics system consisting of a multi-depot, multi-product, and heterogeneous fleet. The optimization is performed to determine the best logistics route and the amount of products delivered using certain types of fleets to minimize transportation cost and GHG emissions using constant speed. In addition, this study also investigates the effect of variable speed on cost and CO2 emissions. For the constant speed case, the distribution routes obtained for the minimizing cost scenario tends to maximize the utilization of transit terminals while in the minimizing emissions scenario tends to deliver directly to the distribution centers, so the route decision in multi-objective optimization scenario is combination of the two. The multi-objective optimization results an 11% cost reduction and a 17% GHG emission reduction compared with the current values. The comparison between constant and variable speed reveals that the variable speed is preferred to constant speed as it gives lower emissions with slight changes in cost.
AB - The transportation sector is one of the largest fuel consumers and pollutant contributors worldwide. The International Maritime Organization predicts that the greenhouse gas (GHG) emissions from transportation will be increasing significantly until 2050, driven by the growth in global maritime trade. Managing logistics distribution routes is considered a possible approach for controlling GHG emissions. This study aims to implement a green logistics concept in the logistics distribution of petroleum products—gasoline, kerosene, and diesel—in eastern Indonesia, whose supply sources are refineries located in Balikpapan and Kasim. A multi-objective approach is used to implement the green logistics concept. Multi-objective optimization is conducted using the AIMMS software to optimize a logistics system consisting of a multi-depot, multi-product, and heterogeneous fleet. The optimization is performed to determine the best logistics route and the amount of products delivered using certain types of fleets to minimize transportation cost and GHG emissions using constant speed. In addition, this study also investigates the effect of variable speed on cost and CO2 emissions. For the constant speed case, the distribution routes obtained for the minimizing cost scenario tends to maximize the utilization of transit terminals while in the minimizing emissions scenario tends to deliver directly to the distribution centers, so the route decision in multi-objective optimization scenario is combination of the two. The multi-objective optimization results an 11% cost reduction and a 17% GHG emission reduction compared with the current values. The comparison between constant and variable speed reveals that the variable speed is preferred to constant speed as it gives lower emissions with slight changes in cost.
KW - GHG emissions
KW - Green logistic
KW - Optimization
KW - Petroleum product
KW - Transportation cost
UR - http://www.scopus.com/inward/record.url?scp=85107697184&partnerID=8YFLogxK
U2 - 10.1016/j.ajsl.2021.05.003
DO - 10.1016/j.ajsl.2021.05.003
M3 - Article
AN - SCOPUS:85107697184
SN - 2092-5212
VL - 37
SP - 220
EP - 230
JO - Asian Journal of Shipping and Logistics
JF - Asian Journal of Shipping and Logistics
IS - 3
ER -