Publications
107 results found
Anvari B, Angeloudis P, Ochieng WY, 2016, A multi-objective GA-based optimisation for holistic Manufacturing, transportation and Assembly of precast construction, Automation in Construction, Vol: 71, Pages: 226-241, ISSN: 0926-5805
Resource scheduling of construction proposals allows project managers to assess resource requirements, provide costs and analyse potential delays. The Manufacturing, transportation and Assembly (MtA) sectors of precast construction projects are strongly linked, but considered separately during the scheduling phase. However, it is important to evaluate the cost and time impacts of consequential decisions from manufacturing up to assembly. In this paper, a multi-objective Genetic Algorithm-based (GA-based) searching technique is proposed to solve unified MtA resource scheduling problems (which are equivalent to extended Flexible Job Shop Scheduling Problems). To the best of the authors' knowledge, this is the first time that a GA-based optimisation approach is applied to a holistic MtA problem with the aim of minimising time and cost while maximising safety. The model is evaluated and compared to other exact and non-exact models using instances from the literature and scenarios inspired from real precast constructions.
Nikhalat-Jahromi H, Bell MGH, Fontes DBMM, et al., 2016, Spot sale of uncommitted LNG from Middle East: Japan or the UK?, Energy Policy, Vol: 96, Pages: 717-725
Shang W, Han K, Ochieng W, et al., 2016, Agent-based day-to-day traffic network model with information percolation, Transportmetrica A-Transport Science, Vol: 13, Pages: 38-66, ISSN: 2324-9935
This paper explores the impact of travel information sharing on road networks using a two-layer, agent-based, day-to-day traffic network model. The first layer (cyber layer) represents a conceptual communication network where travel information is shared among drivers. The second layer (physical layer) captures the day-to-day evolution in a traffic network where individual drivers seek to minimize their own travel costs by making route choices. A key hypothesis in this model is that instead of having perfect information, the drivers form individual groups, among which travel information is shared and utilized for routing decisions. The formation of groups occurs in the cyber layer according to the notion of percolation, which describes the formation of connected clusters (groups) in a random graph. We apply the novel notion of percolation to capture the disaggregated and distributed nature of travel information sharing. We present a numerical study on the convergence of the transport network, when a range of percolation rates are considered. The findings suggest a positive correlation between the percolation rate and the speed of convergence, which is validated through statistical analysis. A sensitivity analysis is also presented which shows a bifurcation phenomenon with regard to certain model parameters.
Angeloudis P, Greco L, Bell MGH, 2016, Strategic maritime container service design in oligopolistic markets, Transportation Research Part B: Methodological: an international journal, Vol: 90, Pages: 22-37, ISSN: 0191-2615
This paper considers the maritime container assignment problem in a market setting with two competing firms. Given a series of known, exogenous demands for service between pairs of ports, each company is free to design liner services connecting a subset of the ports and demand, subject to the size of their fleets and the potential for profit. The model is designed as a three-stage complete information game: in the first stage, the firms simultaneously invest in their fleet; in the second stage, they individually design their services and solve the route assignment problem with respect to the transport demand they expect to serve, given the fleet determined in the first stage; in the final stage, the firms compete in terms of freight rates on each origin–destination movement. The game is solved by backward induction. Numerical solutions are provided to characterize the equilibria of the game.
Goldbeck N, Angeloudis P, Ochieng W, 2016, Analysing the resilience of metro systems under consideration of interdependencies: A combined Dynamic Bayesian Network and network flow approach, 14th World Conference on Transport Research (WCTR)
Anvari B, Bell MGH, Angeloudis P, et al., 2016, Calibration and validation of a shared space model: case study, Transportation Research Record, Vol: 2588, Pages: 43-52
Goldbeck N, Angeloudis P, Ochieng W, 2016, Joint Vulnerability Analysis of Urban Rail Transit and Utility Networks, Transportation Research Board 95th Annual Meeting, Publisher: Transportation Research Board
As climate change is expected to increase the frequency of extreme weather events, cities around the world develop strategies to improve their disaster resilience. A key issue is the protection of critical urban infrastructure systems, such as transport networks. Rail transit networks are particularly exposed to flood risks and additional vulnerabilities arise from interdependencies with other infrastructure systems. This paper aims to improve modelling techniques that help to understand the conditions under which cascading failure can occur in interdependent urban infrastructure systems. Building on existing network flow models, a novel method for the coupling of networks is introduced, using binary connector variables and mixed integer linear programming. The coupling is modelled as additional commodity demand that is induced in one network depending on the commodity flows in another network. An example problem consisting of a rail transit network, a control system, an electric power network and a water supply network illustrates the practicability of the proposed modelling technique.
Zis T, Angeloudis P, Bell MGH, et al., 2016, Payback period for emissions abatement alternatives: Role of regulation and fuel prices, Transportation Research Record, Vol: 2549, Pages: 37-44
Briskorn D, Angeloudis P, 2015, Scheduling co-operating stacking cranes with predetermined container sequences, Discrete Applied Mathematics, Vol: 201, Pages: 70-85, ISSN: 1872-6771
Crane scheduling in container terminals is known as a difficult optimization problem that has become even more challenging in recent years with the proliferation of multi-gantry automated stacking cranes. In this paper we present an efficient algorithm solving a subproblem arising in this context, namely deciding the priority of cranes after transportation tasks have been assigned. We tackle this problem for both, twin crane setting and crossover crane setting, and develop graphical models and strongly polynomial algorithms accordingly. A series of experiments is carried out where it is shown that the method can produce optimum solutions within exceptionally small run times.
Anvari B, Ziakopoulos A, Morley J, et al., 2015, Comparison of Equipment Sizing Models for Horizontal Transportation ofShipping Containers using Automated Straddle Carriers, Global Port Research Alliance (GPRA) 2015 Conference on "Port and Logistics Connectivity"
Ports have become freight distribution hubs. Due to fierce regional and international competition, port operators seek ways to maximise terminal throughput and productivity. This paper uses queuing theory, Petri Networks (PNs) and discrete event simulation to compare the impact on the productivity of yard-side operations in a container terminal of utilising different numbers of Automated Straddle Carriers (AStCs). PNs and discrete event modelling techniques divide complex continuous systems into subsystems and analyse the system as a series of sequential operations being performed on certain entities. Discrete event simulation is used for the utilisation of AStCs with gang and pooling deployment strategies. Venice’s new off-shore terminal is used for modelling the complex processes of a container terminal in order to determine the optimal number of AStCs. The equipment sizing results gained from the developed PN and discrete event simulation are closely matching with the optimal solution determined from various models of queuing theory. Given the different effort required for the three methods, it can be concluded that PN represents a fair trade-off and is the methodology of choice for equipment sizing problems, compared to analytic queuing theory and complex discrete event simulations.
Anvari B, angeloudis, ochieng, 2015, Multi-Objective GA-based Optimisation for Manufacturing, Transportation and Assembly of Precast Construction, 17th British-French-German Conference on Optimization
Anvari B, Angeloudis P, Ochieng W, 2015, Multi-Objective GA-based Optimisation for Manufacturing, Transportation and Assembly of Precast Construction, Publisher: 17th British-French-German Conference on Optimization
Precast production is an enhanced method to utilize construction schedule, cost, workforce, safety and quality. Making production schedules which satisfy multiple objectives is the most important part of precast construction planning. The Manufacturing, transportation and Assembly (MtA) sectors are often strongly linked to each other in construction projects. These sectors require a considerable amount of time, workforce and budget. In addition, the available resources for each sector have specific constraints. The difficulty is due mainly to the high number of constraints in the real-world application. It is important to evaluate the impact of consequential decisions from the manufacturing up to assembly in minimising project's time and cost while maximizing safety. Reducing the number of on-site workforce from congested construction site maximises the safety, and prefabricating components in a controlled and protected environment maximises the quality of the elements. In this paper, a Resource-constrained Complex Flexible Job Shop Scheduling (RCFJSS) optimisation approach is presented for minimising makespan and cost of precast techniques. At the same time, the number of on-site workers is minimised considering the holistic MtA system. A multi-objective Genetic Algorithm-based (GA-based) searching technique is used to provide optimal most advantageous solution in consideration of resource constraints. The output of this RCFJSS model provides an optimal allocation of resources on operations for the overall project duration, cost and on-site labour. Using this optimisation model, optimal solutions for different levels of prefabrication can be determined and compared with respect to projects horizon and budget.
Zis T, Angeloudis P, North R, et al., 2015, The environmental balance of vessel emission strategies, TRB
Novati M, Achurra-Gonzalez P, Foulser-Piggott R, et al., 2015, Modelling the effects of port disruptions: assessment of disaster impacts using a cost-based container flow assignment in liner shipping networks
Zis T, Angeloudis P, Bell MGH, 2015, Economic and Environmental Trade-Offs in Water Transportation, Green Logistics and Transportation, Publisher: Springer, Cham, Pages: 159-174
Goldbeck N, Angeloudis P, Ochieng W, 2015, Analysis of cascading failures across interdependent dynamic networks, 27th European Conference on Operational Research
Zis T, North RJ, Angeloudis P, et al., 2015, Environmental balance of shipping emissions reduction strategies, Transportation Research Record, Vol: 2479, Pages: 25-33
Angeloudis P, Greco L, Bell MGH, 2015, Strategic maritime container transport design in oligopolistic markets, Publisher: Elsevier, Pages: 269-282
Angeloudis P, Hu J, Bell MGH, 2014, A strategic repositioning algorithm for bicycle-sharing schemes, Transportmetrica A: Transport Science, Vol: 10, Pages: 759-774
Zis T, North RJ, Angeloudis P, et al., 2014, Evaluation of cold ironing and speed reduction policies to reduce ship emissions near and at ports, Maritime Economics & Logistics, Vol: 16, Pages: 371-398
Zis T, North R, Angeloudis P, et al., 2014, The effectiveness of cold ironing and speed reduction policies near ports on ship emissions, Maritime Economics and Logistics
Anvari B, Bell MGH, Angeloudis P, et al., 2014, Long-range Collision Avoidance for Shared Space Simulation based on Social Forces, Publisher: Elsevier BV
Angeloudis P, Hu J, Bell MGH, 2014, A strategic repositioning algorithm for bicyle sharing schemes, Transportmetrica
The presence of enough bicycles and free docking points to satisfy user demands in stations is a known operational issue in bicycle-sharing schemes. Empty and full stations in such systems are equally undesirable and disruptive for the operation of the network, since the former turn away potential users while the latter could not be used to terminate bicycle journeys. Repositioning practices have been used in the past to address this situation with partial success. This paper introduces a new approach for the optimisation of such activities, addressing both routing and assignment aspects of bicycle repositioning using a fleet of carrier vehicles. A case study on bicycle usage patterns from a large bicycle-sharing scheme is carried out; examples are also provided that demonstrate the behaviour of the algorithm. Implementation concerns and means to improve computational performance are also discussed.
Zis T, North RJ, Angeloudis P, et al., 2014, Effects of speed reduction policies near ports
Angeloudis P, Bichou K, Bell MGH, 2013, Security and reliability of the liner container-shipping network: Analysis of robustness using a complex network framework, Risk Management in Port Operations, Logistics and Supply-Chain Security, Pages: 95-105, ISBN: 9781315850504
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- Citations: 17
Angeloudis P, Bichou K, Bell MGH, 2013, Security and reliability of the liner container-shipping network: analysis of robustness using a complex network framework, Risk Management in Port Operations, Logistics and Supply Chain Security, Publisher: Informa Law from Routledge, Pages: 129-140
Zis T, North RJ, Angeloudis P, et al., 2013, A Systematic Evaluation of Alternative Options for the Reduction of Vessel Emissions in Ports
Bell MGH, Liu X, Rioult J, et al., 2013, A cost-based maritime container assignment model, Transportation Research Part B: Methodological, Vol: 58, Pages: 58-70
Angeloudis P, Hu J, Bell MGH, 2012, A strategic repositioning algorithm for Bicycle-sharing schemes, TRB
Bell MGH, Liu X, Angeloudis P, et al., 2011, A frequency-based maritime container assignment model, TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, Vol: 45, Pages: 1152-1161, ISSN: 0191-2615
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- Citations: 85
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