标题: 无人搬运车之整合性指派法则的研究
A Study of Integrated Dispatching Rules for Automated Guided Vehicle System
作者: 潘宗政
T. C. Pan
李庆恩
C. E. Lee
工业工程与管理学系
关键字: 无人搬运车系统;指派法则;推的策略;拉的策略;奖励项目;AGV System;Dispatching Rules;Push Strategy;Pull Strategy;Bonus
公开日期: 1994
摘要:   一般而言物,料在生产过程中,尤其是批量加工之零工型工厂中,有
效加工时间所占的比例低,而花费在运送、等待的时间则相对地占有相当
高的比例,因此物料搬运系统能否有效率的执行对于系统之绩效有很大的
影响。基于弹性、安装容易与可移动性等优点,无人搬运车可适用于多种
制造环境,便逐渐成为广泛采用的物料搬运工具之一。 目前无人搬运
车之控制,大都是经由派车法则所设定的优先次序来决定无人搬运车执行
载运任务的对象。虽然近十余年来已有不少的派车法则发展出来,但是较
少研究讨论弹性调整且充分考虑生产时的实际情况的指派法则。因此本研
究希望结合传统推的策略与JIT拉的策略,同时加上奖励项目的方式,发
展出一个充分考虑生产系统中的各种因素之整合性指派法则。并藉此比较
简单的车辆指派法则与考虑多因素之指派法则间对系统绩效的影响。
Then transportation time and queue time in general job shop
manufacturing system are relatively much higher in
comparing with the effective processing time. Therefore,
whether the material handling system can be efficiently
and effectively executed become one of the most crucial
factors influencing the system performance. Because the
automated guided vehicle (AGV) system has merits of the
flexibility, ease of installation, and mobility, it has
been widely accepted and applied in many manufacturing
environments. In order to make an AGV deliver right parts
to right machines at right time, AGV's dispatching rules that
determine its dispatching priorities need to be planed a
priori. Althought many AGV's dispatching rules have been
developed in the past two decades, each of them has
claimed itself suitable for certain performance critera. This
research present a hybrid AGV dispatching rule which
combines the traditional "push" strategy, the "pull"
strategy originating from jist-in-time concept, and a
"bonus" strategy. An experiment is designed to extensively
compare the system performance under the proposed hybrid
dispatching rule with those under other well-recognized ones
(STT/D, MOQS, and MIX). When a system is relativelt stable,
it is demonstrated that simple rules such as STT/D and MOQS
perform as good as complicated rules do.
URI: http://140.113.39.130/cdrfb3/record/nctu/#NT830030007
http://hdl.handle.net/11536/58768
显示于类别:Thesis