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运筹学模型与方法教程

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Syllabus of the Decision Support System
一.Character, Objective and Requirement (一)Character and ObjectiveThis course is for graduate students majoring in economic information management of enterprise management and in management science and engineering. It introduce students the knowledge of Operational Research and Decision Support System. By studying this curriculum, students are able to build the mathematical models of most kinds in business decision and economic decision area, and understand the concepts and methods of DSS, as well as develop the DSS software. The study of this course can help them planning and developing related decision support system for their business activities in the future.
(二)The ways of teachingThis course combines classroom teaching and practicing on computer together. With the classroom teaching, students learn and understand the concepts; With the practicing, they really have ability to know how to build the mathematical models and develop related DSS.
二.Contents and Assignment of Teaching Hours
1.1 Mathematical Models
1.2 Methods of Analysis
1.3 Monetary Values
1.4 Growth and Decay Programming
2.1 Integer Programming
2.2 The Simplex Method Chapter3.Route Scheduling
3.1 Minimal Spanning Trees
3.2 The Travelling Salesman Problem
3.3 Shortest Route Problems
3.4 Computer Program and Sequencing
4.1 Critical Path Analysis
4.2 Float Times
4.3 Drawing Networks
4.4 Project Evaluation and Review
4.5 Grantt Charts
4.6 Production Sequencing
4.7 The Assignment Problem Chapter5The conception of Decision Support System(DSS)
5.1 The history and development of DSS
5.2 The theoretic basis of DSS
5.3 Relationship between DSS and other related technologies
5.4 The new generation of DSS
5.5 The Assignment Problem Chapter6The architecture of DSS
6.1 The basic elements of DSS
6.2 The requirement for structuring of DSS
6.3 The general architecture of DSS
6.4 The analyze of DSSs architecture
6.5 The Assignment Problem Chapter7The Model Base and Model Base Management System
7.1 The conception of model and model base
7.2 The technology of model generation
7.3 The The technology of model management
7.4 The method of intelligent management for models Chapter8The key technologies for DSS
8.1 Model base, data base and knowledge base
8.2 Interaction of human and machine
8.3 problem solving mechanism
8.4 analyze of decision results (二)Assignment of Teaching
1 Introduction
2 Linear Programming
3 Transportation
4 Route Scheduling
5 Coordinating and Sequencing
6 DSS conception and architecture
7 Models and model base
8 The key technologies of DSS
9 Designing and developing for DSS
6 (三)Topics Hours For Practicing on Computer
Topic 1: the mathematical models of OR 6
Topic 2: Decision making on Commerce 6
三.Teaching Material Reference Books Teaching Research, Support System, Scott Books
1,《运筹学模型与方法教程》,程理民等编著
2,《决策支持系统(DSS)理论.方法.案例》,高洪深著

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