Data-Driven Competitor-Aware Positioning in On-Demand Vehicle Rental Networks

2021 ◽  
Author(s):  
Karsten Schroer ◽  
Wolfgang Ketter ◽  
Thomas Y. Lee ◽  
Alok Gupta ◽  
Micha Kahlen
Keyword(s):  
Discrete Event ◽  
Mixed Integer ◽  
Real World Data ◽  
Demand Growth ◽  
Event Simulation ◽  
On Demand ◽  
Operational Problem ◽  
Conventional Models ◽  
Vehicle Positioning ◽  
Expansion Model

We study a novel operational problem that considers vehicle positioning in on-demand rental networks, such as car sharing in the wider context of a competitive market in which users select vehicles based on access. Existing approaches consider networks in isolation; our competitor-aware model takes supply situations of competing networks into account. We combine online machine learning to predict market-level demand and supply with dynamic mixed integer nonlinear programming. For evaluation, we use discrete event simulation based on real-world data from Car2Go and DriveNow. Our model outperforms conventional models that consider the fleet in isolation by a factor of two in terms of profit improvements. In the case we study, the highest theoretical profit improvements of 7.5% are achieved with a dynamic model. Operators of on-demand rental networks can use our model under existing market conditions to build a profitable competitive advantage by optimizing access for consumers without the need for fleet expansion. Model effectiveness increases further in realistic scenarios of fleet expansion and demand growth. Our model accommodates rising demand, defends against competitors’ fleet expansion, and enhances the profitability of own fleet expansions.

scholarly journals Population-based simulation optimization for urban mass rapid transit networks

2019 ◽  
Vol 32 (4) ◽  
pp. 767-805 ◽  
Author(s):  
David Schmaranzer ◽  
Roland Braune ◽  
Karl F. Doerner
Keyword(s):  
Discrete Event ◽  
Service Level ◽  
Population Based ◽  
Rapid Transit ◽  
Real World Data ◽  
Transit Networks ◽  
Event Simulation ◽  
Covariance Matrix Adaptation ◽  
Turning Maneuver ◽  
Mass Rapid Transit

AbstractIn this paper, we present a simulation-based headway optimization for urban mass rapid transit networks. The underlying discrete event simulation model contains several stochastic elements, including time-dependent demand and turning maneuver times as well as direction-dependent vehicle travel and passenger transfer times. Passenger creation is a Poisson process that uses hourly origin–destination-matrices based on anonymous mobile phone and infrared count data. The numbers of passengers on platforms and within vehicles are subject to capacity restrictions. As a microscopic element, passenger distribution along platforms and within vehicles is considered. The bi-objective problem, involving cost reduction and service level improvement, is transformed into a single-objective optimization problem by normalization and scalarization. Population-based evolutionary algorithms and different solution encoding variants are applied. Computational experience is gained from test instances based on real-world data (i.e., the Viennese subway network). A covariance matrix adaptation evolution strategy performs best in most cases, and a newly developed encoding helps accelerate the optimization process by producing better short-term results.

scholarly journals Assessment of a container terminal expansion using simulation

DYNA ◽  
2020 ◽  
Vol 87 (214) ◽  
pp. 129-138
Author(s):  
Aurelio López-González ◽  
Silvia Medina-León ◽  
Alvaro Gonzalez-Angeles ◽  
Ismael Mendoza-Muñoz ◽  
Margarita Gil-Samaniego-Ramosa
Keyword(s):  
Container Terminal ◽  
Discrete Event ◽  
Storage Space ◽  
Event Simulation ◽  
Discrete Event Simulation Model ◽  
Expansion Plan ◽  
Storage Reserve ◽  
Additional Demand ◽  
Expansion Model ◽  
And Storage

The paper presents a methodology to construct a Discrete Event Simulation model to assess the expansion of a container terminal. The methodology was applied to the Ensenada International Terminal located in Mexico. The simulation integrates all the operations of the container terminal including the arrival of vessels, trucks, and storage of containers. The expansion plan included the addition of anew berth, and additional storage yard space. The expansion model was evaluated under different demand increments. Recommendations were provided on the level of demand that the expansion may be able to serve. As a result, the additional berth will increase the capacity, but the projected storage space will support up to a 140% increase in demand with a 20% in reserve. The terminal must consider additional storage space either in the terminal or at an external facility for additional demand greater than 140%, or for having a larger storage reserve.

scholarly journals Efficient Multipath Routing to Increase QoS by Link Estimation and Minimum Interference path in MANET'S

2019 ◽  
Vol 9 (2) ◽  
pp. 4806-4811
Keyword(s):  
Discrete Event ◽  
Link Quality ◽  
Delivery Ratio ◽  
Minimum Path ◽  
Event Simulation ◽  
On Demand ◽  
Path Distance ◽  
Multiple Paths ◽  
Multiple Routes ◽  
And Performance

Many significant techniques have been developed for real time transmission to meet stringent QoS for various applications of wireless sensor network. However routing in MANET’s still a challenging issue to achieve QoS due to frequent topology changes and its dynamic nature. For majority MANET applications, on demand multi path data routing protocols have been modelled to transfer data in multiple routes to prove its effectiveness on link disjoints and high packet delivery ratio. However due to mobility and underlying medium, multiple routes are exposed to interference and low power unstable link quality which are essential to guarantee QoS in routing. In this paper we propose link quality estimation and minimum path interference based on Geographic adhoc on demand multi path distance vector (GAOMDV) an adaptation of AOMDV routing protocol. To ensure the reliability of MANET’s this adaptation is done by considering routing metrics. GAOMDV selects forwarding neighbour nodes based on link quality and minimum path interference across multiple paths and ensures high stable links between nodes. Extensive simulation is carried on discrete event simulation tool and performance of GAOMDV is analysed in terms of network QoS parameters.

Discrete event simulation and pharmacy process re-engineering

2019 ◽  
Vol 32 (2) ◽  
pp. 398-411 ◽  
Author(s):  
Khalid Al Badi
Keyword(s):  
Discrete Event Simulation ◽  
Hospital Pharmacy ◽  
Discrete Event ◽  
Healthcare Services ◽  
Healthcare Sector ◽  
Public Healthcare ◽  
Real World Data ◽  
Content Type ◽  
Event Simulation ◽  
Delphi Approach

Purpose The purpose of this paper is to describe a case study undertaken at Al Buraimi Hospital in Oman, which used computer simulation and the Delphi approach to improve efficiency by reducing prescription dispensing waiting times. Design/methodology/approach This study’s framework was based on a discrete event simulation (DES) to identify the as-is pharmacy process and to create a to-be (future situation) to achieve an improvement in pharmacy workflow and service quality. Owing to healthcare environment complexity, and to gain a deeper understanding about Al Buraimi Hospital pharmacy problems, a Delphi technique was also used. Findings Based on Delphi, and according to the expert panel suggestions, two alternative scenarios were proposed to improve Al Buraimi Hospital pharmacy efficiency: fast-track and direct-dispensing, which should help to reduce the prescription dispensing waiting time process by 7.3 and 9.8 min, respectively. Research limitations/implications The main limitation is the pharmacists’ shortage, which may affect the prescription dispensing process’s quality as insufficient manpower to check the prescriptions may increase the medication errors’ risk. Originality/value Based on this case study’s real-world data, findings can be used to improve public healthcare sector pharmacy efficiency. The DES can be used in healthcare services to describe and test actual and proposed situations.

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