请登录 0 购物车
首页 图书 电子图书 期刊 参考文献及会议录 作者,编辑,审稿 A-Z 产品目录
Flexible Automation and Integrated Manufacturing 1996

ISBN 打印: 978-1-56700-067-2

HOPFIELD NEURAL NETWORK FOR A TRANSNATIONAL ENTERPRISE'S MANUFACTURING NETWORK

Abstract

Multinational enterprises (MNEs) have to deal with two main issues. They need to define a suitable configuration for the activities of the chain value and to coordinate the so obtained network of facilities. The complexity of such issues and the impact of the managerial decisions on MNEs' performance are emphasized due to the international-wide economic scenario with which MNEs have to face. In this paper we focus on the coordination problems. In particular, we refer to transnational enterprises, i.e. MNEs which pursue a high coordination among their activities dispersed throughout the world.
We utilize an approach based on neural networks and, in particular, on a Hopfield neural network (HNN). We consider a simple model of the logistic network of a MNE, in order to describe the approach. The objective approach is the minimization of the total cost, that is the sum of production and transportation costs. The approach allows to handle non-linear cost functions and proves effective in determining the optimal solution.
首页 Begell Digital Portal Begell数据库 期刊 图书 电子图书 参考文献及会议录 作者,编辑,审稿 A-Z 产品目录 订购及政策 关于BegellHouse 联系我们 Language English 中文 Русский 日本語 Português Deutsch Français Español