需求约束下集装箱码头装卸设施配置逆优化模型  

Inverse optimization model of loading and unloading facilities in container terminal under demand constraint

作　　者：鲁渤 王辉坡[3] 汪寿阳 Lu Bo;Wang Huipo;Wang Shouyang(International College,Dalian University,Dalian 116622,China;National Joint Engineering Laboratory for intelligent Shipping and Logistics Network Technology,Dalian University,Dalian 116622,China;College of Economics and Management,Dalian University,Dalian 116622,China;School of Economics and Management,University of Chinese Academy of Sciences,Beijing 100190,China)

机构地区：[1]大连大学国际学院,辽宁大连116622 [2]大连大学智慧航运与物流网络技术国家地方联合工程实验室,辽宁大连116622 [3]大连大学经济管理学院,辽宁大连116622 [4]中国科学院大学经济与管理学院,北京100190

出　　处：《系统工程学报》2018年第6期845-853,共9页Journal of Systems Engineering

基　　金：国家自然科学基金资助项目(71573028;71703011;71811530337;71811540413);辽宁省高等学校创新人才资助项目(WR2017002);大连市科技创新基金资助项目(2018J12GX034);大连金普新区科技专项资助项目(2017-11706)

摘　　要：为了解决需求不足的条件下,集装箱码头装卸设施配置优化问题,构建了集装箱码头装卸设施配置的逆优化模型,并给出了基于互补松弛定理的求解方法.研究结果表明,以效率最大为目标,以现有资源为约束的优化模型,在面临市场需求不足时,存在资源浪费.不同资源消减方案的成本不同,逆优化模型可以找到成本最小的资源消减方案.This paper constructs an inverse optimization model to solve the problem of optimal allocation of loading and unloading facilities in container terminals, and gives a solution based on the theorem of complementary slackness. The results show that there will be a waste of resources if the market demand is insufficient when using the traditional optimization model, with the maximum efficiency as the goal and the existing resources as the constraints. The costs of the different resource reduction schemes are different, and the inverse optimization model can find the reduction scheme with the least cost.

关 键 词：需求约束 集装箱码头 逆优化 装卸设施优化 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]