Fleet management: A vehicle and driver assignment model

Monnerat, Filipe; Dias, Joana; Alves, Maria João

doi:10.1016/j.ejor.2019.03.021

Cited by 22 publications

(5 citation statements)

References 44 publications

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“…Step (7): Judge whether i is equal to the total number of time periods. When it is satisfied, select the output result, and end the operation.…”

Section: Upper-level Programming Model Solutionmentioning

confidence: 99%

“…The lower model is for a traffic distribution issue based on the departure time and vehicle capacity constraints. Filipe Monnerat [7] researched fleet management problems and established a vehicle and driver assignment model with an objective function of minimizing the total cost. Liujiang Kang [8] developed three integer linear programming models (ILPM) to describe bus and driver scheduling problems with meantime windows for a single bus line.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The Optimization of Bus Departure Time Based on Uncertainty Theory—Taking No. 207 Bus Line of Nanchang City, China, as an Example

et al. 2023

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In order to optimize the bus departure time considering uncertain factors, this paper constructed an uncertain bi-level programming model for departure frequency and scheduling of a bus line. The uncertainty of passenger arrival and bus operation time were taken into account, combined with actual operation conditions. Nanchang 207 bus line was taken as an example to optimize the departure frequency and scheduling in the morning peak hour. The optimal departure frequency in the morning peak hour is 12 times. The overall index value of the route’s non-uniform scheduling during peak hours increased by 0.06 and 9.23% compared with uniform scheduling. The analysis results show that the effect of the non-uniform scheduling is obvious. The issue of bus line departure frequency and scheduling has a positive effect on improving the efficiency of public transportation, reducing operating costs and promoting the sustainable development of the public transportation system. This paper provides a theoretical support for bus operators to optimize route operations.

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“…Step (7): Judge whether i is equal to the total number of time periods. When it is satisfied, select the output result, and end the operation.…”

Section: Upper-level Programming Model Solutionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Optimization of Bus Departure Time Based on Uncertainty Theory—Taking No. 207 Bus Line of Nanchang City, China, as an Example

et al. 2023

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“…Literature covers a considerable number of papers that show interest in the problems of fleet management. Among these, for example, there are heterogenous vehicle routing problems, fleet composition problems, vehicle routing and scheduling problems related to private and public urban transport, dial-a-ride transport, and specific problems related to air, maritime, rail and intermodal transport (Monnerat, Dias, & João Alves, 2019). A few papers give attention to the fleet management problems in car rental companies which is however not plentiful in the literature (Beatriz, Maria, & José, 2016).…”

Section: Introductionmentioning

confidence: 99%

Sustainability in Fleet Management

Akkartal

Aras

2021

JAREAS

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Purpose: This paper aims to discuss sustainability in fleet management at companies considering simultaneously the three dimensions of sustainability, which are economic, environmental, and social, corresponding to the Triple Bottom Line (TBL) approach. Approach/Methodology/Design: This paper examines the subject and employs a theory-building-descriptive design. Three key themes in the aspect of sustainability and in terms of fleet management were examined: economic, environmental, and social. Findings: In today’s world, almost every company operates vehicle fleets to perform business requirements and irrespective of the size of vehicles, these companies need to execute some certain fleet operations under the phenomenon of fleet management. Fleet management entails a transition to a more sustainable model which should try to adopt economic, environmental, social dimensions. While the economic dimension of sustainability brings about a new model called the TCM, the environmental dimension constructs a road map to greener fleets and delivers quick wins that companies can easily implement in their agendas. The social dimension concerns the well-being of people and society which seeks to find a balance between their needs and the requirements of fleet management. Practical Implications: The paper recommends a subsequent study through an empirical way that would investigate the actual sustainability behaviours and initiatives of companies present in Turkey. Originality/value: In recent years, sustainability has become an interesting topic for scholars in many areas of research. However, the literature is lacking ample studies concerning sustainability in corporate fleet management. Therefore, the main contribution and novelty of this paper is to provide companies with policy advice regarding the three pillars of sustainability for their applications to vehicle fleet management.

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“…Any mining activity is very important in optimizing fleet management to achieve coal production targets [12]. Management of the transport fleet in coal mining is a concept that combines fleet configuration, fleet allocation, and vehicle routes by considering vehicles that are homogeneous or heterogeneous [13]. The Kananai Block mining has a production target of 132,500 tons of coal with details of 50,200 tons of coal for the Anggrek pit target, 30,000 tons of coal for the Dahlia pit target, and 52,300 tons of coal for the Kenanga pit target.…”

Section: Introductionmentioning

confidence: 99%

Fleet Management Simulation Using Queuing Theory to Achieve Coal Production Targets

2020

IJETER

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In the match factor, mining activity between the haulers and loader equipment dramatically affects each fleet's production. The purpose of this study is to simulate the sufficient number of transportation uses as an effort to achieve production targets using queuing theory. The research methods are quantitative and descriptive by analyzing the compatibility value of fleet, fleet production capability, queue number, and queue time. The data required is the time of the distribution, the distance from the mining front to the ROM, and the company's speed limit. The results of this research are beneficial to users of the transporter simulation to be applied based on the theory of the queue is six transport units in the Anggrek pit with a compatibility value of 1.01, five transport units in the Dahlia pit with compatibility value 0.98, and five units of transport in the pit Anggrek with compatibility value 1.04. The haulers' recommendations were made by allocating two haulers units from the pit Anggrek to the Pit Dahlia and Kenanga. Each simulation's production capability reached the monthly production target, namely fleet Anggrek of 50,416.45 tons, fleet Dahlia of 32,424.3 tons, and fleet Kenanga of 46,027.8 tons. Based on the study results, the achievement of production targets can be fulfilled by simulating the number of haulers usage and controlling fleet management's compatibility level on each working front.

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Fleet management: A vehicle and driver assignment model

Cited by 22 publications

References 44 publications

The Optimization of Bus Departure Time Based on Uncertainty Theory—Taking No. 207 Bus Line of Nanchang City, China, as an Example

The Optimization of Bus Departure Time Based on Uncertainty Theory—Taking No. 207 Bus Line of Nanchang City, China, as an Example

Sustainability in Fleet Management

Fleet Management Simulation Using Queuing Theory to Achieve Coal Production Targets

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