本文首先分析了现代汽车制造企业所面临的新形势并介绍了国内外关于本课题
各个方向的研究现状,在此基础上提出了本文的研究课题；然后针对汽车零部件供应
物流系统的阐述了汽车零部件供应物流的概况及其运作模式，在此基础上据本文的
研究课题大量阅读相关文献提出了基于 JIT 的汽车零部件供应物流配送中心选址问
题的模型并提出用 lingo 软件进行求解；最后，在介绍隶属于锦江集团旗下的 F 公司
武汉分公司的基础上，以沌口项目为研究对象，结合上述非线性整数规划模型及 lingo
软件进行算例验证，在考虑时间窗的基础上编写程序运行后得出最优目标函数总成
本为 416884 元并选择备选 2 号地址作为最佳配送中心位置，从管理的角度上分析了
考虑时间窗的模型的优点并进一步针对模型对本项目提出了一些建议并在附录中给
出了 F 公司沌口项目中的一些相关数据表格等。
关键词：JIT 供应物流 选址
Abstract
How to effectively improve the current supply logistics mode of automobile parts and
extremely reduce the supply logistics cost are the most important issues that automobile
manufacturers concerned. Considering the significant practical meaning, this article will
discuss auto parts supply logistics DC location problem under JIT circumstance.
This article firstly analyzes the new situation that modern automobile manufacturing
enterprises are facing, and introduces domestic and overseas research status on this issue
from different aspects, based on which the research topic of this article was put forward.
Then the article presents general conditions of auto parts supply logistics and its operating
mode aiming at supply logistics system. Depending on research topic of this article, the
author has read a lot of related articles and then formulated the model of auto parts supply
logistics DC location with JIT theory, and solved with LINGO software. Finally, after
introducing F Company Wuhan Branch which is belonged to Jingjiang Group, the author
takes Zhuankou project as study object, combing former mentioned nonlinear integer
programing model and LINGO software, the author makes samples checking, and gets the
optimal objective function value is 416884 Yuan after programing on the basis of taking
into account of time window, and choses No.2 location as the optimum DC. From
managerial point of view the author analysis the advantage of model that is considered
with time window and proposes some suggestions to this project, and provides some
related data tables of F Company Zhuankou project as attachment.
Key words: Just In Time Supply logistics Location problem
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