Optimal routing for electric vehicle service systems

Hung, Ying; Michailidis, George

doi:10.1016/j.ejor.2015.06.013

Cited by 29 publications

(13 citation statements)

References 30 publications

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“…These recharging visits have to be explicitly considered in the route planning to avoid inefficient vehicle routes with long detours, especially if the number of available recharging stations is scarce. In a recent work, Hung et al [96] propose a queuing modeling framework to develop efficient routing strategies for EVs requesting charging at available stations. These authors show that the proposed routing strategies contribute to improving the throughput of the queuing system and also to reducing stopover times.…”

Section: Routing Issues Of Evsmentioning

confidence: 99%

Electric Vehicles in Logistics and Transportation: A Survey on Emerging Environmental, Strategic, and Operational Challenges

et al. 2016

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Current logistics and transportation (L&T) systems include heterogeneous fleets consisting of common internal combustion engine vehicles as well as other types of vehicles using "green" technologies, e.g., plug-in hybrid electric vehicles and electric vehicles (EVs). However, the incorporation of EVs in L&T activities also raise some additional challenges from the strategic, planning, and operational perspectives. For instance, smart cities are required to provide recharge stations for electric-based vehicles, meaning that investment decisions need to be made about the number, location, and capacity of these stations. Similarly, the limited driving-range capabilities of EVs, which are restricted by the amount of electricity stored in their batteries, impose non-trivial additional constraints when designing efficient distribution routes. Accordingly, this paper identifies and reviews several open research challenges related to the introduction of EVs in L&T activities, including: (a) environmental-related issues; and (b) strategic, planning and operational issues associated with "standard" EVs and with hydrogen-based EVs. The paper also analyzes how the introduction of EVs in L&T systems generates new variants of the well-known Vehicle Routing Problem, one of the most studied optimization problems in the L&T field, and proposes the use of metaheuristics and simheuristics as the most efficient way to deal with these complex optimization problems.

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Section: Routing Issues Of Evsmentioning

confidence: 99%

Electric Vehicles in Logistics and Transportation: A Survey on Emerging Environmental, Strategic, and Operational Challenges

et al. 2016

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“…Selected references Impact of integrating PEVs into the power system Parks et al (2007), Lemoine et al (2008), Samaras and Meisterling (2008), Stephan and Sullivan (2008), Denholm (2009), Sioshansi et al (2010), Wang et al (2010), Sioshansi (2012), and Kahlen et al (2018) Market diffusion of electric vehicles: Barriers in front of the mass adoption Struben and Sterman (2008), Luo et al (2014), Cohen et al (2015), Lim et al (2015), Gnann and Plotz (2015), He et al (2017), Kuppusamy et al (2017), and Shao et al (2017) Optimal deployment and operation of refueling infrastructure Capar et al (2015), Lim and Kuby (2010), Raviv (2012), He et al (2013), Mak et al (2013), Nurre et al (2014), Avci et al (2015), Chung and Kwon (2015), Hung and Michailidis (2015), Yang and Sun (2015), Zhao and Ma (2016), and Yildiz et al (2016) Vehicle routing and scheduling problem for electric (and other alternative fuel) vehicles with limited ranges Boyaci et al (2015), Goeke and Scheider (2015), Hung and Michailidis (2015), Doppstadt et al (2016), Hiermann et al (2016), Pimenta et al (2016), Wen et al (2016), and Schiffer and Walther (2017) Open research questions…”

Section: Research Topicsmentioning

confidence: 99%

Electric Power Industry: Operational and Public Policy Challenges and Opportunities

Parker

Tan

Kazan

2019

Production and Operations Management

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The electric power industry is undergoing dramatic change driven by rapid technological transformation, concern over climate change, and evolving market structures. As a result, there is a need for new models to help the industry better utilize resources in a time of increasing uncertainty and to help government policy makers better understand the impacts of their regulatory decisions. We provide a structured review of the operations research and management science literatures to describe the current operational and policy issues in the electric power industry, with a particular focus on issues surrounding electricity market design, renewable integration, effects of climate policy on electric power infrastructure, rise of electric powered vehicles, energy storage, and the growing interdependence between natural gas and electric power sectors. We identify the current research frontier and classify the existing research into clusters with respect to managerial issues addressed. We offer a forecast for where the electric power industry is going and describe some important public policy issues. Finally, we highlight research opportunities and discuss how the management science community can contribute by considering the interaction between operational considerations and electric power policy.

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“…We derived the service value based on the SS objective. For instance, Hung and Michailidis (2015) investigate the deployment of battery charging station infrastructure for electric vehicles (EVs). The service objective is to minimize the overall routing costs for EV drivers, such as travel time and distance.…”

Section: Substantiation By Means Of a Literature Reviewmentioning

confidence: 99%

On the move towards customer-centric business models in the automotive industry - a conceptual reference framework of shared automotive service systems

Grieger

Ludwig

2018

Electron Markets

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Digitalization drives automotive original equipment manufacturers (OEMs) to change their value propositions and open-up towards greater collaboration and customer integration. The shift towards services implies a transformational change from product- towards customer-centricity. This study proposes a conceptual reference framework (CRF) out of a business model perspective to systematize automotive service systems. The CRF presents relevant dimensions and dependencies between the involved stakeholders and the necessary infrastructures in order to facilitate digital service conceptualization in the early phases of the service design. The artifact is developed based on a literature review and conceptual modeling, then iteratively evaluated by means of guideline-supported interviews from three different perspectives and applied to a real problem statement within a case workshop. The results suggest value creation for automotive services occurs in shared mobility networks among interdependent stakeholders in which customers play an integral role during the service life-cycle. Additionally, the results deepen the understanding of service business model development under consideration of industry-specific aspects and suggest the framework to be a beneficial structuring tool that can save resources and specify solution finding.

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Optimal routing for electric vehicle service systems

Cited by 29 publications

References 30 publications

Electric Vehicles in Logistics and Transportation: A Survey on Emerging Environmental, Strategic, and Operational Challenges

Electric Vehicles in Logistics and Transportation: A Survey on Emerging Environmental, Strategic, and Operational Challenges

Electric Power Industry: Operational and Public Policy Challenges and Opportunities

On the move towards customer-centric business models in the automotive industry - a conceptual reference framework of shared automotive service systems

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