Reducing greenhouse gas emissions of a heterogeneous vehicle fleet

Kopfer, Herbert; Schönberger, Jörn

doi:10.1007/s10696-013-9180-9

Cited by 99 publications

(57 citation statements)

References 16 publications

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“…Jabali et al (2012) consider a continuous approximation model to find the long-term vehicle fleet configuration and develop a mixed integer linear formulation. Kopfer et al (2014) study the fundamental question of whether the fleet of mixed sized vehicles can allow less consumption of fuel compared with the homogeneous fleet of equal sized vehicles or not. This topic is part of green logistics.…”

Section: Deterministic and Stochastic Fleet Sizing Problem Integratedmentioning

confidence: 99%

Modelling and analysis of a strategic fleet sizing problem for a furniture distributor

Ertoğral

Akbalιk

González

2017

EJIE

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Abstract:We address a real strategic fleet sizing problem for a furniture and home accessory distributor. The current practice in the real case is to keep the inventory of items in self-owned branch showrooms. The distributor plans to go to a new system where the inventory is centrally held in a distribution centre. In the new system, the area that the distributor serves is split into regions with their assigned group of vehicles. Showrooms in each region only showcase the products, and pass the orders to the distributor and the distributor transports the required items from the central depot to the customers directly. We propose a mixed integer linear program to determine the total number and types of owned and rented vehicles for each region under seasonal demand. We study the effects of different scenarios on cost and demand parameters, and suggest some managerial insights based on a set of numerical analysis.

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Section: Deterministic and Stochastic Fleet Sizing Problem Integratedmentioning

confidence: 99%

Modelling and analysis of a strategic fleet sizing problem for a furniture distributor

Ertoğral

Akbalιk

González

2017

EJIE

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“…In fact, the transportation sector will be the second largest emitter accounting for 24 % of the total EU emissions in 2020. Therefore, there is a renewed sense of urgency to investigate the environmental parameters during transport operations and develop appropriate distribution planning models [12]. Scheduling most of the distribution plans is based on the vehicle routing problem (VRP) [17].…”

Section: Greening Batch Distribution: Literature Reviewmentioning

confidence: 99%

“…Furthermore, constraints (8), (9) and (10) generate the optimal route sequencing. Moreover, constraint (11) controls the delivering capacity, while constraint (12) ensures that enough vehicles are sent out of the depot. Constraint (13) sets the binary restrictions for the first-stage binary variables, and constraint (14) is the non-negativity constraint for all first-stage continuous variables.…”

Section: Scenarios Approval Schedules Executing and Updating Schedulementioning

confidence: 99%

Development and implementation of a green logistics-oriented framework for batch process industries: two case studies

El-Berishy

Scholz‐Reiter

2016

Logist. Res.

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In recent years, green logistics has received increasing interest due to the rise in greenhouse gases emission from transport operations. It is a promising approach to managing supply chain decisions to reduce environmental damages. Many models have been developed in the literature to study the environmental aspects of routing problems. However, these models have not been implemented in practice, particularly in batch processing industries. In this paper, we developed a two-stage stochastic model which integrates the tactical and operational decision levels to reduce the economic and environmental impacts of transport activities. This model generates optimum vehicle routes and their delivery velocities with the objective of minimizing the total distribution cost and the related emissions. We implemented the proposed model in two case studies drawn from the fast-moving consumer goods industry. This resulted in a cost reduction of up to 13 % of the total related economic and environmental costs compared to the actual situation at the test sites. These results also show the potential of green logistics-based models to improve the current modelling capabilities for batch distribution planning.

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“…Bektas y Laporte (2011) propusieron un modelo de VRP para las emisiones de carbono, analizando su impacto en la función de costo total, considerando variantes con o sin ventanas de tiempo. Otros estudios relevantes han analizado el uso de la flota heterogénea desde una perspectiva del GVRP (Koç et al, 2014(Koç et al, , 2016Kopfer et al, 2014), el uso de flotas de vehículos eléctricos (Felipe et al, 2014;Goeke y Schneider, 2015;Juan et al, 2014;Yang y Sun, 2014), la planificación de los sistemas de recogida de residuos reciclables teniendo en cuenta las preocupaciones económicas y medioambientales (Ramos et al, 2014) y las emisiones asociadas con viajes dependientes del tiempo (Ehmke et al, 2015;Qian y Eglese, 2016). La mayor parte de estos trabajos consideran que la reducción de la distancia recorrida es la mejor manera de reducir el consumo de combustible y las emisiones.…”

Section: Introductionunclassified

Una Solución al Enrutamiento de Vehículos en Ciudades Montañosas Considerando Aspectos Ambientales y Económicos

2018

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_____________________________________________________________________________________________________________________________________ ResumenEste trabajo aborda un problema de enrutamiento de vehículos en ciudades de montaña, para determinar la más óptima. Actualmente el transporte verde se ha convertido en un tema de gran interés debido a su relación directa con el costo operativo y su impacto en el medio ambiente. Tradicionalmente se ha considerado que la ruta más corta minimiza tanto costos como emisiones. Sin embargo, la topografía del terreno en montañas es una particularidad que debe ser considerada con miras a lograr soluciones más acordes con la realidad. Para este estudio, se propone un modelo matemático multiobjetivo, el cual determina una ruta que logra un adecuado balance entre el costo del transporte y el impacto ambiental. El modelo se aplicó en un canal de distribución minorista de una ciudad andina de Colombia. Se concluyó que, en escenarios de montaña, la ruta más corta no es necesariamente la mejor, debido al impacto de la pendiente en el consumo de combustible y en las emisiones de CO2. Palabras clave: enrutamiento de vehículos; consumo de combustible; emisiones de CO2; pendiente de la carretera; multiobjetivo A Vehicle Routing Solution for Hilly Cities Considering Environmental and Economic Issues AbstractThis paper addresses a vehicle routing problem in mountainous cities with the objective of finding the optimum route. Currently, green transportation has become a topic of great interest due to its direct relation with operational costs and its impact on the environment. Traditionally, the shortest route has been considered to minimize both costs and emissions. However, topography in mountains is a particularity that must be considered in order to achieve more realistic solutions. For this study, a multi-objective mathematical model is proposed to determine a route that achieve a proper balance between transportation cost and environmental impact. The model was applied in a retail distribution channel of an Andean city in Colombia. It was concluded that in mountain scenarios, the shortest route is not necessarily the optimum, due to the impact of slope on fuel consumption and CO2 emissions.

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Reducing greenhouse gas emissions of a heterogeneous vehicle fleet

Cited by 99 publications

References 16 publications

Modelling and analysis of a strategic fleet sizing problem for a furniture distributor

Modelling and analysis of a strategic fleet sizing problem for a furniture distributor

Development and implementation of a green logistics-oriented framework for batch process industries: two case studies

Una Solución al Enrutamiento de Vehículos en Ciudades Montañosas Considerando Aspectos Ambientales y Económicos

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