Event-driven receding horizon control for energy-efficient container handling

Xin, Jianbin; Negenborn, Rudy R.; Lodewijks, Gabriël

doi:10.1016/j.conengprac.2015.01.005

Cited by 23 publications

(30 citation statements)

References 15 publications

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“…The authors use a hierarchical controller to determine time windows that maximize the space for energy efficiency and introduce a benchmarking system for container handling in an automated container terminal. Following,Xin et al (2015b) provide a methodology for determining the trajectory of interacting machines that transport containers between the quayside area and the stacking area in an automated container terminal.Moreover,Lee et al (2015) make a comparative evaluation in container terminals in order to promote reduction in energy consumption and improve operating efficiency.…”

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confidence: 99%

Sustainable supply chain management in the digitalisation era: The impact of Automated Guided Vehicles

Bechtsis

Tsolakis

Vlachos

et al. 2017

Journal of Cleaner Production

187

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Internationalization of markets and climate change introduce multifaceted challenges for modern supply chain (SC) management in the today's digitalisation era. On the other hand, Automated Guided Vehicle (AGV) systems have reached an age of maturity that allows for their utilization towards tackling dynamic market conditions and aligning SC management focus with sustainability considerations. However, extant research only myopically tackles the sustainability potential of AGVs, focusing more on addressing network optimization problems and less on developing integrated and systematic methodological approaches for promoting economic, environmental and social sustainability. To that end, the present study provides a critical taxonomy of key decisions for facilitating the adoption of AGV systems into SC design and * Corresponding author. Tel: +30 2310 995896; fax: +30 2310 996018. E-mail address: dimbec@autom.teithe.gr (D. Bechtsis).2 planning, as these are mapped on the relevant strategic, tactical and operational levels of the natural hierarchy. We then propose the Sustainable Supply Chain Cube (S2C2), a conceptual tool that integrates sustainable SC management with the proposed hierarchical decision-making framework for AGVs'. Market opportunities and the potential of integrating AGVs into a SC context with the use of the S2C2 tool are further discussed.

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mentioning

confidence: 99%

Sustainable supply chain management in the digitalisation era: The impact of Automated Guided Vehicles

Bechtsis

Tsolakis

Vlachos

et al. 2017

Journal of Cleaner Production

187

View full text Add to dashboard Cite

show abstract

“…In the PSO method, T G and T Q are fixed values, while T F , T U , and T I are optimized with ITAE of ufr as the fitness function. e ranges of T F , T U , and T I are [3,30], [0.1, 7], and (0, 1], respectively. In the SMC-LPF, it is assumed that the handling chain system has reached stability at the initial moment, and u 1 (0 + ) � u(0 + ).…”

Section: Simulation Analysismentioning

confidence: 99%

“…e increasing amount of container volumes undoubtedly brings much pressure to port operations. Hence, the improved operational efficiency in container ports needs to accommodate this growing demand for container freight service [3].…”

Section: Introductionmentioning

confidence: 99%

“…e control approaches improve the performance of the container port handling chain by optimizing control decisions on the system behaviors. For example, optimal control approach [18], model predictive scheduling [19], eventdriven receding horizon control [3], robust control [7], and parameter control strategies (such as deterministic, adaptive, self-adaptive, and augmented self-adaptive) [20][21][22]). Despite the diversity of control approaches used to enhance port productivity and efficiency, nonlinearities of the container port HCS has been largely ignored, which does not match the actual situation of container ports and limits the practical applications.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Sliding Mode Control with Low-Pass Filter for Nonlinear Handling Chain System in Container Ports

Yang

et al. 2020

Complexity

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Nonlinearities in a container port handling chain include mainly nonnegative arrive rate of container cargoes, limited container handling completion rate, and nonnegative unsatisfied freight requirement constraints. The nonlinearity influences the operation resources availability and consequently the planned container port handling strategies. Developments presented in this work are devoted to a novel design of sliding mode control with low-pass filter (SMC-LPF) to nonlinear handling chain system (HCS) in container ports. The SMC-LPF can effectively reduce unsatisfied freight requirement of the HCS and make chattering decrease significantly. To illustrate the effectiveness and accuracy of the proposed SMC-LPF, an application to a real container port in China is outlined. The performances of the SMC-LPF for the nonlinear HCS in container ports outperform those of the traditional method, particle swarm optimization algorithm, and slide mode control under simulations with a unit step signal and a sinusoidal signal with offset as the freight requirements. The contributions herein demonstrate the proposed control strategy in weakening chattering, reducing the unsatisfied freight requirements to 0 as close as possible in the HCS, maximizing the operation resilience and robustness of port and shipping supply chain against parametric perturbation, external disturbances, and fluctuant handling abilities.

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“…A simulated annealing algorithm is applied to find the near-optimal solution. Xin et al [5] provided a methodology for determining the trajectory of interacting machines that transport containers between the quayside area and the stacking area in an automated container terminal. Simulation studies illustrate that energy consumption of container handling can indeed be reduced by the proposed methodology.…”

Section: Introduction and Literature Reviewmentioning

confidence: 99%

A Multilayer Genetic Algorithm for Automated Guided Vehicles and Dual Automated Yard Cranes Coordinated Scheduling

Qing-hua

Zhao

et al. 2020

Mathematical Problems in Engineering

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At present, a lot of studies on automatic terminal scheduling are aimed at the shortest operating time. An effective way to reduce the operating time is to increase the amount of operating equipment. However, people often ignore the additional costs and energy consumption caused by increasing the amount of equipment. This paper comprehensively considers the two aspects of the equipment operation time and equipment quantity matching. With the minimum total energy consumption of the operating equipment as the objective function, a cooperative scheduling model of Automated Guided Vehicles (AGVs) and dual Automated Yard Cranes (AYCs) is established. In the modelling process, we also considered the interference problem between dual Automated Yard Cranes (AYCs). In order to solve this complex model, this paper designs an improved multilayer genetic algorithm. Finally, the calculation results from CPLEX and a multilayer genetic algorithm are compared, and the effectiveness of the model and algorithm is proved by experiments. In addition, at the same time, it is proved that it is necessary to consider the interference problem of dual Automated Yard Cranes (AYCs), and the optimal quantity matching scheme for the equipment and the optimal temporary storage location is given.

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Event-driven receding horizon control for energy-efficient container handling

Cited by 23 publications

References 15 publications

Sustainable supply chain management in the digitalisation era: The impact of Automated Guided Vehicles

Sustainable supply chain management in the digitalisation era: The impact of Automated Guided Vehicles

A Novel Sliding Mode Control with Low-Pass Filter for Nonlinear Handling Chain System in Container Ports

A Multilayer Genetic Algorithm for Automated Guided Vehicles and Dual Automated Yard Cranes Coordinated Scheduling

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