Pomorstvo, Vol. 38 No. 2, 2024.
Izvorni znanstveni članak
https://doi.org/10.31217/p.38.2.5
EFFICIENT MANAGEMENT OF IMPORT CONTAINERS ALLOCATION IN A CONSTRAINED ENVIRONMENT
Hizia Amani
orcid.org/0009-0007-9080-8191
; Laboratoire d’ingénierie des transports et environnement, Département de Génie des transports, Université Frères Mentouri-Constantine, Constantine, Algérie.
*
Linda Bouyaya
; Laboratoire d’ingénierie des transports et environnement, Département de Génie des transports, Université Frères Mentouri-Constantine, Constantine, Algérie.
Rachid Chaib
orcid.org/0000-0001-8680-1906
; Laboratoire d’ingénierie des transports et environnement, Département de Génie des transports, Université Frères Mentouri-Constantine, Constantine, Algérie.
Mohamed seghir Amani
; Département d’Informatique, Université des Sciences et de la Technologie Houari Boumediene (USTHB), Bab Ezzouar, Alger, Algérie
* Dopisni autor.
Sažetak
Ports play an essential role in international trade, and any inefficiency can lead to costly delays and major disruptions. Therefore, the efficiency of port operations is crucial for the smoothness of global supply chains helping reduce the risk of congestion and accidents, thereby enhancing maritime safety. Optimizing container management is particularly significant in this context. Thus, the problem of storage space allocation problem is a critical aspect of managing port operations, significantly influencing the efficiency of the retrieval process and the number of reshuffles. This study proposes a new policy, aimed at optimizing the use of space for import containers in a constrained environment. This policy incorporates considerations to facilitate the retrieval process and reduce the expected number of reshuffles. As a case study, we have taken the Port of Annaba in Algeria. Using an improved genetic algorithm and a heuristic approach, we achieved up to 22% improvement compared to the existing port policy. This demonstrates the effectiveness of our policy in enhancing port operations within spatial constraints.
Ključne riječi
Hrčak ID:
324329
URI
Datum izdavanja:
20.12.2024.
Posjeta: 1.243 *