Artikel
Optimization of territories and transport routes for hazardous products in a distribution network
Purpose: This work presents a general model in mixed integer programming that integrates the design of the territory and distribution route planning, seeking to minimize the total distance covered by the vehicle in each territory. Design/methodology/approach: In this work, a mathematical optimization model has been proposed using an exact algorithm based in mixed integer linear programming, to seek of minimizing the cost of pickups and/or deliveries of products considered to be hazardous in a distribution network, using AMPL software as an interface, with CPLEX as an optimizer to solve a practical real problem. Findings: The model reports an efficient solution, which provide the process administrator with sufficient information to optimize the use of the available (Limited) distribution resources in SMEs of these types of markets that are considered emerging. Originality/value: In contrast to the typical models applied to the VRP with pickups and/or delivery of hazardous materials, this work proposes the use of an exact algorithm that gives a quick and efficient solution for a real optimization problem, considered balance in workload in each territory and using of a single central deposit which the vehicle must use as its origin and final destination.
- Sprache
-
Englisch
- Erschienen in
-
Journal: Journal of Industrial Engineering and Management (JIEM) ; ISSN: 2013-0953 ; Volume: 10 ; Year: 2017 ; Issue: 4 ; Pages: 604-622 ; Barcelona: OmniaScience
- Klassifikation
-
Management
- Thema
-
VRP
transport
distribution network
MILP
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Velarde Cantú, José Manuel
Bueno Solano, Alfredo
Lagarda Leyva, Ernesto Alonso
Lopez Acosta, Mauricio
- Ereignis
-
Veröffentlichung
- (wer)
-
OmniaScience
- (wo)
-
Barcelona
- (wann)
-
2017
- DOI
-
doi:10.3926/jiem.2107
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:41 MEZ
Datenpartner
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Objekttyp
- Artikel
Beteiligte
- Velarde Cantú, José Manuel
- Bueno Solano, Alfredo
- Lagarda Leyva, Ernesto Alonso
- Lopez Acosta, Mauricio
- OmniaScience
Entstanden
- 2017
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