TY - GEN
T1 - Generating an efficient way of dispatching perishable product optimization through exact and metaheuristic algorithm comparison
AU - Salam, Mohammad Andad Ajiz
AU - Komarudin, Komarudin
AU - Destyanto, Arry Rahmawan
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2019/5/9
Y1 - 2019/5/9
N2 - Conveying product which has a limited shelf-life optimally is the concern of this study. The primary attribute of this product is perishable within a specific time frame. However, the perishable product has a critical issue in the cold chain system which leads dispatching costs inefficiency problems. Regarding this problem, a mathematical model built thru extended a vehicle routing problem, with soft time windows (VRPSTW) by considering energy consumption cost to evaluate its contribution towards the objective function. Model building conducted into computer programming that uses Python Spyder 3 for generating a feasible solution. For the sake of feasibility, a metaheuristic approach of genetic algorithms provided to find the best optimal solution; the results diagnosed that genetic algorithms can generate best feasible solution efficiently within a certain number of variables in case of perishable product delivery.
AB - Conveying product which has a limited shelf-life optimally is the concern of this study. The primary attribute of this product is perishable within a specific time frame. However, the perishable product has a critical issue in the cold chain system which leads dispatching costs inefficiency problems. Regarding this problem, a mathematical model built thru extended a vehicle routing problem, with soft time windows (VRPSTW) by considering energy consumption cost to evaluate its contribution towards the objective function. Model building conducted into computer programming that uses Python Spyder 3 for generating a feasible solution. For the sake of feasibility, a metaheuristic approach of genetic algorithms provided to find the best optimal solution; the results diagnosed that genetic algorithms can generate best feasible solution efficiently within a certain number of variables in case of perishable product delivery.
KW - Cold chain
KW - Metaheuristic
KW - Perishable product
KW - VRPSTW genetic algorithms
UR - http://www.scopus.com/inward/record.url?scp=85066323501&partnerID=8YFLogxK
U2 - 10.1109/ICCIA.2018.00009
DO - 10.1109/ICCIA.2018.00009
M3 - Conference contribution
AN - SCOPUS:85066323501
T3 - Proceedings - 3rd International Conference on Computational Intelligence and Applications, ICCIA 2018
SP - 6
EP - 10
BT - Proceedings - 3rd International Conference on Computational Intelligence and Applications, ICCIA 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd International Conference on Computational Intelligence and Applications, ICCIA 2018
Y2 - 28 July 2018 through 30 July 2018
ER -
