约束规划
利用
整数规划
调度(生产过程)
数学优化
时间范围
本德分解
计算机科学
分解
约束(计算机辅助设计)
综合业务规划
算法
数学
随机规划
生物
计算机安全
经济
生态学
管理
几何学
作者
Ozgur Unsal,Ceyda Oğuz
标识
DOI:10.1016/j.tre.2019.03.018
摘要
We consider integrated planning problem of export dry bulk terminals. This problem consists of three important operations: (i) berth allocation, (ii) reclaimer scheduling, and (iii) stockyard allocation, and includes tidal time windows, multiple stocking pads and non-crossing of reclaimers. We exploit relationships among these operations to decompose this complex problem and propose a logic-based Benders decomposition algorithm. Master and subproblems are modeled with mixed-integer programming and constraint programming, respectively, such that complementary strengths of these programming paradigms are utilized. Computational experiments show that the proposed method can effectively solve the integrated problem for up to two weeks of planning horizon.
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