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A multi-dimensional rescheduling model in disrupted transport network using rule-based decision making

Jingsi Li, Neil Ferguson
2020 Procedia Computer Science  
Furthermore, the proposed rescheduling model is capable of predicting the network performance in the real-world picture and gives a hint on how best react to transport disruptions for transport management  ...  Furthermore, the proposed rescheduling model is capable of predicting the network performance in the real-world picture and gives a hint on how best react to transport disruptions for transport management  ...  The affected agents are capable of making multi-dimensional travel decisions based on the aforementioned decision-making rules with the aid of the real-time traffic information.  ... 
doi:10.1016/j.procs.2020.03.012 fatcat:fzfkqm46sfcp7d76epqjhcqpey

Review of real-time vehicle schedule recovery methods in transportation services

Monize Sâmara Visentini, Denis Borenstein, Jing-Quan Li, Pitu B. Mirchandani
2013 Journal of Scheduling  
For each class, a classification of the models is presented based on problem formulations and solution strategies.  ...  This paper presents a comprehensive review on methods for real-time schedule recovery in transportation services.  ...  Acknowledgments We are indebted to the anonymous referees for very useful comments and criticism.  ... 
doi:10.1007/s10951-013-0339-8 fatcat:mnuq55wgorhddlj2bozz5xws5u

The multi-objective railway timetable rescheduling problem

Stefan Binder, Yousef Maknoon, Michel Bierlaire
2017 Transportation Research Part C: Emerging Technologies  
Computational experiments are performed on a realistic case study based on a heavily used part of the Dutch railway network.  ...  This research focuses on the railway timetable rescheduling problem from a macroscopic point of view in case of large disruptions.  ...  based on a heavily used part of the Dutch railway network.  ... 
doi:10.1016/j.trc.2017.02.001 fatcat:e6btcg77ffc4ddl447ac2qdawm

Dispatching and Rescheduling Tasks and Their Interactions with Travel Demand and the Energy Domain: Models and Algorithms

Marilisa Botte, Luca D'Acierno
2018 Urban Rail Transit  
Finally, in an attempt to provide a comprehensive framework an overview of the main metaheuristic resolution techniques used in the planning and management phases is shown.  ...  By contrast, within rail optimisation models, both planning (timetabling) and management (rescheduling) phases are discussed.  ...  Therefore, dispatching and rescheduling decision support systems, based on an energy-saving perspective, are being increasingly used in rail transport research.  ... 
doi:10.1007/s40864-018-0090-8 fatcat:2t7py6qj6nbjjmsje3p46jzcji

A Dynamic Scheduling Method for Carrier Aircraft Support Operation under Uncertain Conditions Based on Rolling Horizon Strategy

Peilong Yuan, Wei Han, Xichao Su, Jie Liu, Jingyu Song
2018 Applied Sciences  
The computational results show that our approach is effective at solving the scheduling problem in the dynamic environment, as well as making better decisions regarding disruption on a real-time basis.  ...  multi-resource constrained multi-project scheduling problem (MRCMPSP), which is a complex non-deterministic polynomial-time hard (NP-hard) problem.  ...  This rescheduling model with disruptions differs from static scheduling.  ... 
doi:10.3390/app8091546 fatcat:nrn45ft3zvg3fa5lttm4avweji

Reinforcement Learning with Composite Rewards for Production Scheduling in a Smart Factory

Tong Zhou, Dunbing Tang, Haihua Zhu, Liping Wang
2020 IEEE Access  
A novel manufacturing value network is developed to take high-dimensional data as the input and then learn the state-action values for real-time decision making.  ...  Simulation-based methods show the promise for distributed scheduling of manufacturing jobs but are mostly implemented with historical data and empirical rules in a static manner.  ...  A novel manufacturing value network is designed to take high-dimensional data as the input and then learn the state-action values for real-time decision making.  ... 
doi:10.1109/access.2020.3046784 fatcat:jiaqiiomsfd73hx4lwrkbi6cqy

A Q-Learning Rescheduling Approach to the Flexible Job Shop Problem Combining Energy and Productivity Objectives

Rami Naimi, Maroua Nouiri, Olivier Cardin
2021 Sustainability  
Reinforcement learning, which is a popular approach in artificial intelligence, is often used in rescheduling.  ...  Fortunately, thanks to the development of artificial intelligence and machine learning, a lot of researchers are using these new techniques to solve the rescheduling problem in a flexible job shop.  ...  To sum up, the agent will make optimal decisions using experiences, make an action in a particular state, and evaluate its consequences based on a reward.  ... 
doi:10.3390/su132313016 fatcat:y5eipsnd4jcnzimkt7efpcngrm

Impact of railway disruption predictions and rescheduling on passenger delays

Nadjla Ghaemi, Aurelius A. Zilko, Fei Yan, Oded Cats, Dorota Kurowicka, Rob M.P. Goverde
2018 Journal of Rail Transport Planning & Management  
To investigate the impact of the disruption length estimates on the rescheduling strategy and the resulting passengers delays, this research presents a framework consisting of three models: a disruption  ...  The framework is applied to a part of the Dutch railway network.  ...  Acknowledgement This work is funded by ExploRail, a partnership programme of the Dutch Technology Foundation STW and ProRail, project no. 12257: "Smart information and decision support for railway operation  ... 
doi:10.1016/j.jrtpm.2018.02.002 fatcat:iidw5xzarjh2pajpiohjldibcu

Review of job shop scheduling research and its new perspectives under Industry 4.0

Jian Zhang, Guofu Ding, Yisheng Zou, Shengfeng Qin, Jianlin Fu
2017 Journal of Intelligent Manufacturing  
future new JSP scheduling models and constructing a framework on solving the JSP problem under Industry 4.0.  ...  In this paper, we first review existing researches from over 120 papers and answer the first question and then we explore a future research direction in SDS and discuss the new techniques for developing  ...  MrFJSP(or MpFJSP): Based on a MrFJSP model, when multi-plants and transportations among them are taken into account, it becomes MpFJSP model or MrFJSP model with Multi-plants and transportation (MpFJSP  ... 
doi:10.1007/s10845-017-1350-2 fatcat:wsvrdighqfg4de3gamrqs46y2u

A Critical Analysis of Job Shop Scheduling in Context of Industry 4.0

Raja Awais Liaqait, Shermeen Hamid, Salman Sagheer Warsi, Azfar Khalid
2021 Sustainability  
Secondly, an overview of associated techniques used in the Industry 4.0 environment is presented.  ...  Scheduling plays a pivotal role in the competitiveness of a job shop facility. The traditional job shop scheduling problem (JSSP) is centralized or semi-distributed.  ...  Their study highlighted the use of multi-criteria decision-making (MCDM) techniques along with mathematical optimization models to analyze the JSSP.  ... 
doi:10.3390/su13147684 fatcat:2nce4laeezfxdmcy2r6hfchr5y

Railway operations, time-tabling and control

Marin Marinov, İsmail Şahin, Stefano Ricci, Gordana Vasic-Franklin
2013 Research in Transportation Economics  
This paper concentrates on organising, planning and managing the train movement in a network.  ...  A description of analytical methods, simulation techniques and specific computer packages for analysing and evaluating the behaviour of rail systems and networks is also provided.  ...  Statistical methods are employed to analyse the output of simulation models and make decisions.  ... 
doi:10.1016/j.retrec.2012.10.003 fatcat:wurbikv4afejxeliov2cdkzpyi

The role of information availability to passengers in public transport disruptions: An agent-based simulation approach

Nuannuan Leng, Francesco Corman
2020 Transportation Research Part A: Policy and Practice  
An agent-based micro-simulation model (MATSim) is applied for the city of Zürich, Switzerland, for the benefit of activity-based simulation in a multi-modal network.  ...  The major goal of this paper is to study the influence of information availability to passengers on a large-scale multi-modal network in case of public transport disruptions, i.e. how to model passengers  ...  Passengers' adaptations in disruption are not limited to changes in a single mode of transportation, also can be alternative choices in a multi-modal network including private modes and public transport  ... 
doi:10.1016/j.tra.2020.01.007 fatcat:jgvpow5y4bhd7j7zamie4v4vzu

A mathematical programming formulation of the household activity rescheduling problem

Li Ping Gan, Will Recker
2008 Transportation Research Part B: Methodological  
In this paper, we develop a computationally tractable system, based on an extension and modification of some rather well-known network-based formulations in operations research, to model human dynamics  ...  The research builds on the mixed integer linear program formulation of the Household Activity Pattern Problem (HAPP) by embedding in the household activity schedule decision process a means of capturing  ...  The rescheduling decision is made based on activity priority and predefined decision rules.  ... 
doi:10.1016/j.trb.2007.11.004 fatcat:tulp77fxnncydhyjzcv7kkxguu

Rescheduling of Railway Rolling Stock with Dynamic Passenger Flows

Leo Kroon, Gábor Maróti, Lars Nielsen
2015 Transportation Science  
In this paper we present a model for passenger flows during disruptions and we describe an iterative heuristic for optimizing the rolling stock to the disrupted passenger flows.  ...  In this paper we present a model for passenger flows during disruptions and we describe an iterative heuristic for optimizing the rolling stock to the disrupted passenger flows.  ...  We introduce a model for passengers based on a multi commodity flow in an intuitive graph in Section 4. The model of passenger behavior follows a set of assumptions on passenger behavior.  ... 
doi:10.1287/trsc.2013.0502 fatcat:fysj5mijxnej7ltpjlr5elgarm

Disruption Management of an Inequality-Based Multi-Fleet Airline Schedule by a Multi-Objective Genetic Algorithm

Tung-Kuan Liu, Chi-Ruey Jeng, Yu-Hern Chang
2008 Transportation planning and technology (Print)  
This paper presents a novel application of a Method of Inequalitybased Multi-objective Genetic Algorithm (MMGA) to generate an efficient timeeffective multi-fleet aircraft routing algorithm in response  ...  Experimental results based on a real airline flight schedule demonstrate that the proposed method, Multi-objective Optimization Airline Disruption Management by GA, can recover the perturbation efficiently  ...  by 10 US airlines was US$ 1826 billion based on the 1998 Airline Service Quality Performance (ASQP) data of the US Department of Transportation.  ... 
doi:10.1080/03081060802492652 fatcat:jk4qtgvxubawrbblqiqmlwmyca
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