An integrated and intelligent DSS for manufacturing systems

被引：25

作者：

Delen, D

Pratt, DB

机构：

[1] Oklahoma State Univ, William S Spears Sch Business, Dept Management Sci & Informat Syst, Tulsa, OK 74106 USA

[2] Oklahoma State Univ, Coll Engn Architecture & Technol, Sch Ind Engn & Management, Tulsa, OK 74106 USA

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2006年 / 30卷 / 02期

基金：

美国国家科学基金会;

关键词：

intelligent decision support; structured problem; automated tool selection; manufacturing systems modeling; base model; expert systems;

D O I：

10.1016/j.eswa.2005.07.017

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

There is no room for error in making managerial decisions in today's global business environment marked by mergers, acquisitions, and increasing economic instability. In order to succeed in this ever so demanding, fast pace business environment, managers need integrated and intelligent information systems capable of supporting them throughout the decision-making lifecycle, which starts with structuring a problem from a given set of symptoms and ends with providing the information needed to make the decision. In this manuscript, we report on a collaborative research effort whose aim has been to fill this need by developing novel concepts and to demonstrate the viability of these concepts within an advanced modeling environment. (c) 2005 Elsevier Ltd. All rights reserved.

引用

页码：325 / 336

页数：12

共 45 条

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