TY - GEN
T1 - The Organization of Fruit Collection Transport in Conditions of Extreme Rurality
T2 - 9th Workshop on Engineering Applications on Applied Computer Sciences in Engineering, WEA 2022
AU - Paz-Orozco, Helmer
AU - Meléndez-Bermúdez, Osman
AU - Gonzalez-Feliu, Jesús
AU - Morillo, Daniel
AU - Rey, Carlos
AU - Gatica, Gustavo
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - Routing under rural conditions is a technical and logistical challenge. In classic vehicle routing, the objective is to minimize traveled distances that reduces transportation costs, mainly approximated as Euclidean. However, the type and performance of the vehicle, and the condition of the roads, must be correlated to generate realistic models. A mathematical model, based on mixed-integer programming, is proposed to determine the cost of transportation in rural conditions. The novelty of the research arises on introducing different types of roads and then circulation conditions and a global cost structure function. The study area is a rural Municipality, from Cauca-Colombia. A real intervention-research case study is defined, modelled and optimized using a commercial solver. After a fourteen-month intervention, a computational experiment is generated, which establishes only five routes. Thus, a total transportation cost of $ USD 1,546.98 is obtained with the proposed model, which supposes a reduction of 29% with respect to the transport system before the intervention.
AB - Routing under rural conditions is a technical and logistical challenge. In classic vehicle routing, the objective is to minimize traveled distances that reduces transportation costs, mainly approximated as Euclidean. However, the type and performance of the vehicle, and the condition of the roads, must be correlated to generate realistic models. A mathematical model, based on mixed-integer programming, is proposed to determine the cost of transportation in rural conditions. The novelty of the research arises on introducing different types of roads and then circulation conditions and a global cost structure function. The study area is a rural Municipality, from Cauca-Colombia. A real intervention-research case study is defined, modelled and optimized using a commercial solver. After a fourteen-month intervention, a computational experiment is generated, which establishes only five routes. Thus, a total transportation cost of $ USD 1,546.98 is obtained with the proposed model, which supposes a reduction of 29% with respect to the transport system before the intervention.
KW - Food supply chains
KW - Mixed integer programming (MIP)
KW - Perishable food
KW - Rural area
KW - Vehicle routing
UR - http://www.scopus.com/inward/record.url?scp=85144207796&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-20611-5_20
DO - 10.1007/978-3-031-20611-5_20
M3 - Conference contribution
AN - SCOPUS:85144207796
SN - 9783031206108
T3 - Communications in Computer and Information Science
SP - 234
EP - 242
BT - Applied Computer Sciences in Engineering - 9th Workshop on Engineering Applications, WEA 2022, Proceedings
A2 - Figueroa-García, Juan Carlos
A2 - Franco, Carlos
A2 - Díaz-Gutierrez, Yesid
A2 - Hernández-Pérez, Germán
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 30 November 2022 through 2 December 2022
ER -
