Tank container operators' profit maximization through dynamic operations planning integrated with the quotation-booking process under multiple uncertainties

DOI10.1016/J.EJOR.2018.10.040zbMath1430.90152OpenAlexW2898922839MaRDI QIDQ1755388

Xinjie Xing, Paul R. Drake, Yang Zhou, Dong-Ping Song

Publication date: 9 January 2019

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2018.10.040

zbMATH Keywords

uncertaintyprofit maximizationOR in maritime industrydynamic planning horizontank container management

Mathematics Subject Classification ID

Transportation, logistics and supply chain management (90B06) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (1)

Joint tank container demurrage policy and flow optimisation using a progressive hedging algorithm with expanded time-space network

Uses Software

• Matlab

Cites Work

• Multimodal freight transportation planning: a literature review
• A math-heuristic for the warehouse location-routing problem in disaster relief
• Positioning empty containers among multiple ports with leasing and purchasing considerations
• A Two-Stage Stochastic Network Model and Solution Methods for the Dynamic Empty Container Allocation Problem
• Robust Optimization for Empty Repositioning Problems
• Dynamic and Stochastic Models for the Allocation of Empty Containers

This page was built for publication: Tank container operators' profit maximization through dynamic operations planning integrated with the quotation-booking process under multiple uncertainties