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A Real Time Vehicle Scheduling Strategy in Container Terminals 18

A Real Time Vehicle Scheduling Strategy in Container Termina...

引用

18th IEEE International Conference on Networking, Sensing and control, ICNSC 2021

作者： Rong, Zhenrui Wu, Weimin Wang, Xingkai Jin, Xiaojie Institute of Cyber-Systems and Control Zhejiang University State Key Laboratory of Industrial Control Technology Hangzhou China

ISBN: (纸本)9781665440486

With the rapid development of global container business, there are higher requirements for the operation efficiency of container terminals. The vehicle dispatching system is an important link in the operation of container terminal. The yard environment of container terminal is very complex, and the traditional global optimization model based on time estimation is no longer suitable to deal with the vehicle dispatching problem in the scene of dock. This paper proposes a real-time vehicle scheduling strategy for container terminals. Firstly, a buffer vehicle pool is designed to balance the efficiency of each quay crane (QC). Secondly, the wider neighborhood simulated annealing algorithm (WNSA) is presented to find the optimal matching result of each round of calculation. The experimental results show that the proposed strategy in this paper is able to improve the operation efficiency of the QCs and reduce the vehicle cost in the container terminal. © 2021 IEEE.

关键词： Vehicles

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A Conflict-Reducing Path Planning Algorithm in Automated Warehouses 18

A Conflict-Reducing Path Planning Algorithm in Automated War...

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18th IEEE International Conference on Networking, Sensing and control, ICNSC 2021

作者： Feng, Ligen Chen, Xinyu Zhang, Tingqi Wu, Weimin Zhejiang University State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Hangzhou China

ISBN: (纸本)9781665440486

With the development of modern logistics industry, automated warehouses are becoming more and more widely used. An automated guided vehicle (AGV) is often used to carry goods in warehouse. Under specific limitations of the road layout, AGVs are prone to conflict when moving. According to the layout characteristics of automated warehouses, this paper proposes a conflict-reducing path planning algorithm, which is an improvement of A-star algorithm. The conflict cost and turn cost are introduced to the algorithm to reduce the conflict probability and the number of turns of paths. Through simulation comparison, it is verified that the algorithm can reduce the probability of conflicts among AGVs and improve the overall efficiency of multi-AGV systems. © 2021 IEEE.

关键词： Motion planning

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Hysteretic optimization for the capacitated vehicle routing problem

Hysteretic optimization for the capacitated vehicle routing ...

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2012 9th IEEE International Conference on Networking, Sensing and control, ICNSC 2012

作者： Yan, Xiaobo Wu, Weimin State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou China

ISBN: (纸本)9781467303880

Hysteretic optimization (HO) is a recently proposed heuristic physical optimization algorithm based on the well-known demagnetization process of magnetic materials in magnetism. The Capacitated Vehicle Routing Problem (CVRP) is an important variant of the vehicle routing problem which is one of the most important and intensively studied combinatorial optimization problems. In this study, we apply HO to the Capacitated Vehicle Routing Problem (CVRP), by generalizing the external field and endowing the configuration space with a proper distance. The experimental results with benchmark problems show the proposed method is competitive with other popular algorithms, such as particle swarm optimization, genetic algorithms. © 2012 IEEE.

关键词： Magnetic materials

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A new flexible multi-AGVs scheduling model with pre-waiting time in an intelligent manufacturing system 18

A new flexible multi-AGVs scheduling model with pre-waiting ...

引用

18th IEEE International Conference on Networking, Sensing and control, ICNSC 2021

作者： Niu, Haoyi Xing, Zichao Wang, Xingkai Wu, Weimin Zhang, Tao Zhejiang University State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Hangzhou China

ISBN: (纸本)9781665440486

This paper studies a flexible flow-shop scheduling problem with limited resources (FFSP-LR) which is based on an actual air-conditioning production line in an intelligent manufacturing system. It extends the classical flexible flow-shop scheduling problem by considering practical constraints of the number of the AGVs (automated guided vehicles) on the transportation resources. The problem aims to determine the optimal scheduling results that minimizes the idle waiting time and pick-up waiting time of the workstations. To solve this problem, a pre-waiting scheduling model (PWSM) is proposed by taking into account the advance waiting time of AGVs. The experimental results show that the proposed PWSM is able to reduce idle waiting time and pick-up waiting time up to 425.01 and 414.25 comparing to traditional FCFS (First Come First Serve) strategy respectively. Correspondingly, these two types of time could be saved up to 87.01% and 98.57%. Finally, the overall efficiency of the intelligent manufacturing system is improved since the PWSM is able to effectively reduce the idle waiting time and pick-up waiting time of the workstations under the condition of limited transportation resources. © 2021 IEEE.

关键词： Air conditioning

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An Effective Adaptive Large Neighborhood Search Algorithm for Multi-AGV Dispatching Problem in Matrix Manufacturing systems 21

An Effective Adaptive Large Neighborhood Search Algorithm fo...

引用

21st International Conference on Networking, Sensing and control, ICNSC 2024

作者： Li, Boyu Wu, Weimin Institute of Cyber-Systems and Control Zhejiang University State Key Laboratory of Industrial Control Technology Hangzhou China

ISBN: (纸本)9798350365221

With the increasing prevalence of automated guided vehicles (AGV s) in industry, the AG V dispatching has emerged as a research hotspot. Recently, matrix manufacturing systems (MMS) have been favored for their suitability in mass-customized production. However, fluctuating and diverse transport demands in MMS pose challenges for effective AGV scheduling. This paper investigates a multi-AGV dispatching problem (AGVDP) in MMS, involving time-constrained pick-up and delivery tasks. A mixed-integer linear programming model is developed to minimize total transportation costs, including travel distance, early arrival time, and utilized AGV s. To achieve this, an effective adaptive large neighborhood search algorithm (ALNS) is proposed. In ALNS, a scope-based nearest neighbor heuristic is introduced for initial construction. Diverse problem-specific operators are designed to generate large neighborhoods. To enhance ALNS's robustness to instance variations, an adaptive simulated annealing acceptance criterion is proposed. Computational experiments using a well-established benchmark validate the superiority of the proposed ALNS. © 2024 IEEE.

关键词： Simulated annealing

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A new heuristic method combined with Lagrangian relaxation algorithm for Hybrid flow shop problem

A new heuristic method combined with Lagrangian relaxation a...

引用

IEEE International Conference on industrial Engineering and Engineering Management, IEEM2010

作者： Zhou, Xuanhao Lu, Yong-Zai State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou China

ISBN: (纸本)9781424485031

In this paper, a heuristic algorithm which embedded in the Lagrangian relaxation algorithm is proposed to obtain the near optimal solution to minimize the total weighted complete time in the Hybrid flow shop problem (HFS). Compared with the original precedence capacity relaxation algorithm proposed by Tang et al. in [6], our algorithm can produce a better solution in most cases. ©2010 IEEE.

关键词： Heuristic methods

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Supply chain uncertainty under ARIMA demand process

Supply chain uncertainty under ARIMA demand process

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11th International Conference on Business Process Management, BPM 2013

作者： Pan, Mi Wu, Weimin The State Key Laboratory of Industrial Control Technology Institute of Cyber-systems and Control Zhejiang University Hangzhou China

ISBN: (纸本)9783319062563

This paper discusses a typical supply chain system based on Auto- Regressive Integrated Moving Average (ARIMA) demand process. Minimum Mean Square Error principle and stochastic optimal control theory are introduced to build a new framework for supply chain uncertainty study under general ARIMA demand process. After formulating the order and inventory quantity at time period t, this paper analyzes the optimal order policy as to decrease the bullwhip effect and stock fluctuations under non-stationary demand. The theoretical analysis reveals that a reasonable order quantity can reduce the bullwhip effect generated by demand uncertainty. We also show the negative correlation between the bullwhip effect and inventory stability in the discussed supply chain model. © Springer International Publishing Switzerland 2014.

关键词： Mean square error

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A Decision-support Framework for Port Container Stowage Plan 18

A Decision-support Framework for Port Container Stowage Plan

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18th IEEE International Conference on Networking, Sensing and control, ICNSC 2021

作者： Wang, Shuo Zhang, Tao Xing, Zichao Wu, Weimin Zhejiang University State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Hangzhou China

ISBN: (纸本)9781665440486

With the development of international trade, container transportation increases rapidly. Loading large quantities of containers requires efficient port operations and an efficient container stowage plan (CSP). A CSP is the placement of containers onto the shipping plan slots, which should decrease loading cost and keep the ship stability. The yard operational efficiency, ship stability, and operational safety are the major factors that should be considered in port loading and unloading. Since, factors are related to others, to generate a CSP is proven to be NP-complete. This paper proposes a decision-support framework for determining a shipment plan, which is to achieve the optimal shipment objects by a planning model. The experimental results show that the proposed framework can improve the operating efficiency of the storage yard while keeping the ship's stability and reducing the dangerous loading scenes. © 2021 IEEE.

关键词： Containers

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The application of fuzzy pattern fusion based on competitive agglomeration in coal-fired boiler operation optimization 6th

The application of fuzzy pattern fusion based on competitive...

引用

6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the 2nd BRICS Congress on Computational Intelligence, CCI 2015

作者： Jia, Jining Lu, Yongzai Chu, Jian Su, Hongye State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou China

ISBN: (纸本)9783319204680

In order to solve the coal-fired boiler operation optimization problem with multiple main controllable parameters, a fuzzy pattern fusion based on competitive agglomeration (FPF-CA) algorithm is developed and applied in this paper. A simplified mathematical model for coal-fired boiler systems is applied in terms of both historical operational and thermal efficiency data under different load conditions. The FPF-CA algorithm can be applied to perform information fusion in terms of combining fuzzy clusters of some quantitative attributes with generated quantitative association rules. The historical data collected from a 130/2.82-M circulating fluidized bed (CFB) boiler being installed in a production scale thermal power plant is used to specifically analyze, and the simulation experiment results show the application of FPF-CA algorithm is a decision oriented intelligent technology and may provide an efficient results for coalfired boiler operation optimization in thermal power plant. © Springer International Publishing Switzerland 2015.

关键词： Agglomeration

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A Dynamic Joint Real-time Scheduling Strategy of Truck and Yard Crane in Container Terminals 18

A Dynamic Joint Real-time Scheduling Strategy of Truck and Y...

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18th IEEE International Conference on Networking, Sensing and control, ICNSC 2021

作者： Jin, Xiaojie Wang, Xingkai Wu, Weimin Rong, Zhenrui Zhang, Quanling Zhejiang University State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Hangzhou China

ISBN: (纸本)9781665440486

With the continuous growth of port container throughput, it is difficult to meet the port production demand by simply configuring automation equipments to improve the operation efficiency of machinery. The container truck scheduling and yard crane scheduling are the two important scheduling links in container terminals. At the same time, there is a tight coupling between them. Thus, the joint scheduling of container trucks and yard cranes is necessary to improve the operation efficiency of container terminals. In this paper, the joint real-time scheduling of trucks and yard cranes is mathematically modeled, and is solved by the elite genetic algorithm. Finally, a variety of scheduling strategies are compared to verify the effectiveness of the proposed strategy. © 2021 IEEE.

关键词： Trucks

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