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Ho-Yin Mak

Researcher at University of Oxford

Publications -  37
Citations -  1689

Ho-Yin Mak is an academic researcher from University of Oxford. The author has contributed to research in topics: Supply chain & Stochastic programming. The author has an hindex of 15, co-authored 35 publications receiving 1234 citations. Previous affiliations of Ho-Yin Mak include Hong Kong University of Science and Technology.

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Infrastructure Planning for Electric Vehicles with Battery Swapping

TL;DR: In this paper, Bertsimas et al. develop robust optimization models that aid the planning process for deploying battery swapping infrastructure, and study the potential impacts of battery standardization and technology advancements on the optimal infrastructure deployment strategy.
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Service Region Design for Urban Electric Vehicle Sharing Systems

TL;DR: Recently, key players in the car-sharing business, such as Autolib’, car2go, and DriveNow, have begun to employ EVs in an operations model that accommodates one-way trips, showing promise in supporting the adoption of fuel-efficient vehicles.
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Infrastructure Planning for Electric Vehicles with Battery Swapping

TL;DR: These models are developed that aid the planning process for deploying battery swapping infrastructure, based on a robust optimization framework and can be tightly approximated by mixed-integer second-order cone programs (MISOCPs), which are readily solvable by commercial solvers.
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Appointment Scheduling with Limited Distributional Information

TL;DR: In this paper, the authors developed distribution-free models that solve the appointment sequencing and scheduling problem by assuming only moments information of job durations, and derived the optimal time allowances in closed form and proved that it is optimal to sequence jobs in increasing order of job duration variance.
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Toward Mass Adoption of Electric Vehicles: Impact of the Range and Resale Anxieties

TL;DR: In this paper, the authors study the impact of two major barriers to mass adoption of EVs: (i) range anxiety, the concern that the driving range of EVs may be insufficient to meet the driving needs, and (ii) resale anxiety, concern that used values of EVs might deteriorate quickly.