Decision Making in Systems Engineering and Management (3版)

類似書籍推薦給您

DECISION MAKING IN SYSTEMS ENGINEERING AND MANAGEMENT A thoroughly updated overview of systems engineering management and decision making In the newly revised third edition of Decision Making in Systems Engineering and Management, the authors deliver a comprehensive and authoritative overview of the systems decision process, systems thinking, and qualitative and quantitative multi-criteria value modeling directly supporting decision making throughout the system lifecycle. This book offers readers major new updates that cover recently developed system modeling and analysis techniques and quantitative and qualitative approaches in the field, including effective techniques for addressing uncertainty. In addition to Excel, six new open-source software applications have been added to illustrate key topics, including SIPmath Modeler Tools, Cambridge Advanced Modeller, SystemiTool2.0, and Gephi 0.9.2. The authors have reshaped the book’s organization and presentation to better support educators engaged in remote learning. New appendices have been added to present extensions for a new realization analysis technique and getting started steps for each of the major software applications. Updated illustrative examples support modern system decision making skills and highlight applications in hardware, organizations, policy, logistic supply chains, and architecture. Readers will also find: Thorough introductions to working with systems, the systems engineering perspective, and systems thinking In-depth presentations of applied systems thinking, including holism, element dependencies, expansive and contractive thinking, and concepts of structure, classification, and boundaries Comprehensive explorations of system representations leading to analysis In-depth discussions of supporting system decisions, including the system decision process (SDP), tradespace methods, multi-criteria value modeling, working with stakeholders, and the system environment Perfect for undergraduate and graduate students studying systems engineering and systems engineering management, Decision Making in Systems Engineering and Management will also earn a place in the libraries of practicing system engineers and researchers with an interest in the topic.

MODELING AND SIMULATION BASED SYSTEMS ENGINEERING

類似書籍推薦給您

Modeling and simulation (M&S) based systems engineering (MSBSE) is the extension of MBSE, which enhances the value of MBSE and the ability of digitally evaluating and optimizing the whole system through comprehensive applications of M&S technologies. This book puts together the recent research in MSBSE, and hopefully this will provide the researchers and engineers with reference cases in M&S technologies to support the R&D of complex products and systems. Sample Chapter(s) Preface Chapter 1: Introduction Contents: Introduction (Lin Zhang and Chun Zhao) Using Modeling and Simulation and Artificial Intelligence to Improve Complex Adaptive System Engineering (Andrew Talk, Philip Barry and Steven C Doskey) DEVS and MBSE: A Review (Bernard P Zeigler) XDEVS: A Hybrid System Modeling Framework (Kunyu Xie, Lin Zhang, Yuanjun Laili and Xiaohan Wang) An Integrated Intelligent Modeling and Simulation Language for Model-Based Systems Engineering (Lin Zhang, Fei Ye, Kunyu Xie, Pengfei Gu, Xiaohan Wang, Yuanjun Laili, Chun Zhao, Xuesong Zhang, Minjie Chen, Tinggu Lin and Zhen Chen) Modeling for Heterogeneous Objects Based on X Language: A Modeling Method of Algorithm-Hardware (Yue Liu and Chun Zhao) Data-Driven Modeling Method with Reverse Process (Guodong Yi, Lifan Yi, Zaizhao Zhang and Chuihui Li) Simulation-Oriented Model Reuse in Cyber-Physical Systems: A Method Based on Constrained Directed Graph (Wenzheng Liu, Heming Zhang, Chao Tang, Shuangfei Wu and Hongguang Zhu) Model Maturity Towards Modeling and Simulation: Concepts, Index System Framework and Evaluation Method (Lin Zhang, Ying Liu, Yuanjun Laili and Weicun Zhang) FPGA-Based Edge Computing: Task Modeling for Cloud-Edge Collaboration (Chuan Xiao and Chun Zhao) Hybrid Intelligent Modeling Approach for Online Predicting and Simulating Surface Temperature of HVs (Ming Tie, Hong Fang, Jianlin Wang and Weihua Chen) Knowledge-Driven Material Design Platform Based on the Whole-Process Simulation and Modeling (Gongzhuang Peng, Tie Li, Xiang Zhai, Wenzheng Liu and Heming Zhang) A Model Validation Method Based on the Orthogonal Polynomial Transformation and Area Metric (Huan Zhang, Wei Li, Ping Ma and Ming Yang) A Mixed Reality Simulation Evaluation Method for Complex System (Lijun Wang, Yang Xue, Yi Lv, Yufen Wu, Dawei Wang and Shuhong Xu) Readership: Graduate students, engineers and researchers specializing in the fields of System Engineering.