What is Systems Engineering?

Systems engineering is actually an organization management technique. The so-called system first regards the object to be studied or the engineering management problem as a whole composed of many interconnected and mutually restricted components, and then uses the theory and methods of operations research and electronic computer technology to analyze the components of the system Part of the analysis, prediction, evaluation, and finally synthesis, so that the system reaches the optimal. The fundamental purpose of system engineering is to ensure that the minimum human, material and financial resources can reach the system's goals and complete the system's tasks in the shortest time. ^[1]

Systems engineering

After the Second World War, with the progress of industrialization, various social problems such as urban population, employment, environmental pollution, and resources have become increasingly serious, and new methods are urgently needed to comprehensively study these problems.

Systems engineering can make full use of human understanding, analysis, reasoning, evaluation,

A technology that uses scientific methods to solve complex problems. Its focus is on analyzing and designing a whole that is distinct from its parts. It insists on a comprehensive view of the problem, considers all aspects and all variables, and links the social and technical aspects of the problem. The main steps in adopting this method include putting forward requirements for the system; designing the system according to the requirements and evaluating

System engineering is a rational development, design, implementation and application from the whole

architecture,

"Systems Engineering" Books

brief introduction:

This book, as the third edition of the 21st century course textbook "Systems Engineering Theory, Methods, and Applications", is mainly revised to study the teaching practice of systems engineering. The book is divided into 13 chapters, the main contents are: systems engineering theory and methodology (3 chapters); systems engineering models and technologies (modeling principles and model systems, input-output models, Petri net technology, system dynamics applications, System simulation and management experiments (5 chapters in total); theories, principles, and methods of system evaluation and decision making (2 chapters); thematic applications of system engineering in the fields of population, logistics, and information technology (3 chapters). This book is mainly used as a reference book for postgraduate and undergraduate students in management and related disciplines. It can also be used by other personnel for learning.

Book Catalog:

Chapter 1 Overview of Systems Engineering

§1-1 Complex system problems and their characteristics

§L-2 Systems Science and Systems Engineering

I. Development of Systems Science and Systems Engineering

System science system

Third, the characteristics of systems engineering

§1-3 System Engineering and Management Research

main reference

Chapter 2 Systems Engineering Theory

§2-1 Classical System Theory

I. General System Theory

Cybernetics

Information Theory

§2-2 Modern System Theory

I. Dissipative Structure and Synergy

Catastrophe theory

§2-3 Development of System Theory

I. The rise of system complexity research

Second, the theory of complex adaptive systems

Third, the complex network theory

Development Trend of System Theory

main reference

Chapter III Methodology of Systems Engineering

§3-l Overview of System Engineering Methodology

§3-2 Preliminary analysis stage

I. Clarify the problem

Planning alternatives

§3-3 Normative Analysis Stage

I. Predicting the future environment

Modeling and predicting consequences

§3-4 Comprehensive analysis stage

I. Evaluation options

Adjustments and feedback

Third, complete the analysis report

§3-5 Methodology of System Metasynthesis

main reference

Chapter 4 Principles of System Modeling

§4-1 System Modeling Overview

I. Basic concepts and meanings

Second, model rhyme classification

Third, the basic steps of modeling, general principles and simplification of the model

§4-2 Common Modeling Methods

1. Graphic method

Second, the fitting method

Third, the experience method

Fourth, the mechanism method

§4-3 System Model System

I. System model system based on system analysis process

System model system based on different functions

Third, the system model system based on the main model

main reference

Chapter V Input-Output Technology and Its Application

§5-1 Origin and Development of Input-Output Technology

I. Theoretical sources of input-output technology

Development of Input-Output Technology

§5-2 Application of Input-Output Technology in China

I. Preparation of input-output tables

Second, the specific application of input-output technology

§5-3 Combination of input-output technology and other technical methods

I. Combining input-output technology with related mathematical planning methods

Combination of input-output technology and CGE model

Combination of input-output technology and high-speed growth model

Combination of input-output technology and econometric model

Five, the combination of input-output technology and SDA

main reference

Chapter 6 Petri Nets and Their Applications

§6-1 Petri Net Overview

I. Basic concepts

Analysis of Behavior Characteristics of Petri Nets

§6-2 Extension of Petri Net

First, coloring Petri nets

Second, the random Petri net

3. Simplification of Petri nets

§6-3 Combination and Application of Petri Nets and Other Methods

First, the combination of Petri nets and queuing systems

Combination of Petri nets and a class of heuristic algorithms in flexible manufacturing system modeling

3. Supply chain system modeling based on colored Petri nets

main reference

Chapter 7 Application of System Dynamics

§7-1 Overview

§7-2 Typical Applications of System Dynamics

I. Application of System Dynamics in Supply Chain Management

System Dynamics and Sustainable Development

System dynamics and organizational change

§7-3 Combination of System Dynamics and Other Theories and Methods

I. System Dynamics and Complex System Theory

System Dynamics and Economics

System Dynamics and Soft Computing Methods (Taking Genetic Algorithms as Examples)

main reference

Chapter VIII System Simulation and Management Experiment

§8-1 System Simulation

I. Concepts and methods

Second, the discrete event system simulation

3. Cellular Automata (CA)

Fourth, the agent and multi-agent system (MAS)

§8-2 Management Experiment

I. Basic concepts

Development History of Management Experiment

Classification of Management Experiments

Fourth, management experiment steps

V. Management Experiment Application

§8-3 System simulation and management experiment example

I. Example of discrete event system simulation: queuing system simulation

Example of Cellular Automata Simulation: Rumor Model

Third, the multi-agent system simulation example: multi-agent economic simulation model-AsPEN

Fourth, management experiment examples

main reference

Chapter IX Principles and Methods of Systematic Evaluation

Chapter 10 Decision Theory and Method

Chapter 11 Application of System Engineering in the Field of Human El

Chapter 12 Logistics System Engineering

Chapter 13 Application of System Engineering in Informatization

main reference

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