[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Hu et al., 2019 - Google Patents

Optimal strategies for the yard truck scheduling in container terminal with the consideration of container clusters

Hu et al., 2019

Document ID
6599634173124975421
Author
Hu X
Guo J
Zhang Y
Publication year
Publication venue
Computers & Industrial Engineering

External Links

Snippet

In container loading and unloading operations, container clusters are more suitable for large- scale operation and coupling scheduling of loading and unloading equipment. Taking a container cluster as a work unit, this study analyzes the multi-vessel large container clusters …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063—Operations research or analysis
    • G06Q10/0631—Resource planning, allocation or scheduling for a business operation
    • G06Q10/06316—Sequencing of tasks or work
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063—Operations research or analysis
    • G06Q10/0631—Resource planning, allocation or scheduling for a business operation
    • G06Q10/06315—Needs-based resource requirements planning or analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"

Similar Documents

Publication Publication Date Title
Hu et al. Optimal strategies for the yard truck scheduling in container terminal with the consideration of container clusters
Yang et al. An integrated scheduling method for AGV routing in automated container terminals
Hu et al. A three-stage decomposition method for the joint vehicle dispatching and storage allocation problem in automated container terminals
Tang et al. Modeling and solution of the joint quay crane and truck scheduling problem
He et al. A hybrid parallel genetic algorithm for yard crane scheduling
Tavakkoli-Moghaddam et al. An efficient algorithm for solving a new mathematical model for a quay crane scheduling problem in container ports
Lu et al. A study on multi-ASC scheduling method of automated container terminals based on graph theory
Hop et al. Adaptive particle swarm optimization for integrated quay crane and yard truck scheduling problem
Facchini et al. Optimal dry port configuration for container terminals: A non-linear model for sustainable decision making
CN111861205B (en) Automatic container wharf outlet box space distribution method
Cao et al. Integrated quay crane and yard truck schedule problem in container terminals
Naeem et al. A comprehensive review and directions for future research on the integrated scheduling of quay cranes and automated guided vehicles and yard cranes in automated container terminals
Zeng et al. Optimizing berth allocation and storage space in direct transshipment operations at container terminals
Zhang et al. Optimization for two-stage double-cycle operations in container terminals
Cao et al. A decision support method for truck scheduling and storage allocation problem at container
Xin et al. Mixed-integer nonlinear programming for energy-efficient container handling: Formulation and customized genetic algorithm
Yang et al. An intelligent storage determining method for inbound containers in container terminals
Cai et al. Robust multi-equipment scheduling for U-shaped container terminals concerning double-cycling mode and uncertain operation time with cascade effects
Liang et al. Joint dispatch of shipment equipment considering underground container logistics
Zeng et al. Models and algorithms for multi-crane oriented scheduling method in container terminals
Chang et al. Modeling and solution of joint storage space allocation and handling operation for outbound containers in rail-water intermodal container terminals
Yang et al. Applications of chaotic quantum adaptive satin bower bird optimizer algorithm in berth-tugboat-quay crane allocation optimization
Jiang et al. Optimization of integrated scheduling of restricted channels, berths, and yards in bulk cargo ports considering carbon emissions
Liang et al. Genetic mechanism-based coupling algorithm for solving coordinated scheduling problems of yard systems in container terminals
Yue et al. Joint configuration and scheduling optimization of the dual trolley quay crane and AGV for automated container terminal