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配送中心主功能区域面积分配优化模型及算法*
引用本文:秦进,倪玲霖,史峰,邓连波. 配送中心主功能区域面积分配优化模型及算法*[J]. 计算机应用研究, 2011, 28(5): 1651-1654. DOI: 10.3969/j.issn.1001-3695.2011.05.015
作者姓名:秦进  倪玲霖  史峰  邓连波
作者单位:1. 中南大学,交通运输工程学院,长沙,410075
2. 中南大学,交通运输工程学院,长沙,410075;浙江财经学院,工商管理学院,杭州,310018
基金项目:国家自然科学基金(70771116),中南大学自由探索计划资助项目(201012200168)
摘    要:配送中心为了有效地完成储存、分拣和加工等主要功能,其内部被划分为多个与其生产过程密切相关的功能区域,分别完成不同的业务环节,提供各种增值服务。在配送中心总使用面积受到限制的前提下,需要根据进入配送中心的货物种类及数量科学地分配各功能区域的面积大小,同时合理安排各类货物的处理过程,以实现配送中心的运营成本最小化;根据配送中心内部各主要功能区域的作用,将其内部物流抽象为八种基本货流,在此基础上以最小化配送中心内部总运营费用为目标,建立数学优化模型,并设计了双层模拟退火算法对模型进行求解。最后,算例验证了模型和

关 键 词:物流; 配送中心; 优化模型; 双层模拟退火算法; 功能区域; 货流
收稿时间:2010-10-31
修稿时间:2011-04-20

Optimal model and algorithm for size of main functional area in distribution central
QIN Jin,NI Ling-lin,SHI Feng,DENG Lian-bo. Optimal model and algorithm for size of main functional area in distribution central[J]. Application Research of Computers, 2011, 28(5): 1651-1654. DOI: 10.3969/j.issn.1001-3695.2011.05.015
Authors:QIN Jin  NI Ling-lin  SHI Feng  DENG Lian-bo
Affiliation:(1. School of Traffic & Transportation Engineering, Central South University, Changsha 410075, China; 2. College of Business Administration College, Zhejiang University of Finance & Economics, Hangzhou 310018, China)
Abstract:In order to implement its main functions, the distribution central(DC) is divided into some functional areas, each of them fulfills different operation and provides different value-added service. For minimizing the operation cost of DC under the condition of the total usable area constraint, it requires to determine rationally the size of each main functional area as well as the product allocation to the main functional areas, according to the types and quantity of the freight come into the DC. Based on the function of the areas, the freight flows in the distribution central are described as eight basic flows. A optimization model is presented and a bi-level simulated annealing algorithm is developed for it. The model and effectiveness of the algorithm are clarified by computational experiments.
Keywords:logistics   distribution central   optimization model   bi-level simulated annealing algorithm   functional area   freight flows
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