Computer Simulation Analysis of Biological and Agricultural Systems focuses on the integration of mathematical models and the dynamic simulation essential to system analysis, design, and synthesis. The book emphasizes the quantitative dynamic relationships between elements and system responses. Problems of various degrees of difficulty and complexity are discussed to illustrate methods of computer-aided design and analysis that can bridge the gap between theories and applications. These problems cover a wide variety of subjects in the biological and agricultural fields. Specific guidelines and practical methods for defining requirements, developing specifications, and integrating system modeling early in simulation development are included as well. Computer Simulation Analysis of Biological and Agricultural Systems is an excellent text and self-guide for agricultural engineers, agronomists, foresters, horticulturists, soil scientists, mechanical engineers, and computer simulators.

This book provides an overview of systems engineering, its important elements, and aspects of management that will lead in the direction of building systems with a greater likelihood of success. Emphasis is placed upon the following elements: - How the systems approach is defined, and how it guides the systems engineering processes - How systems thinking helps in combination with the systems approach and systems engineering - Time lines that define the life cycle dimensions of a system - System properties, attributes, features, measures and parameters - Approaches to architecting systems - Dealing with requirements, synthesis, analysis and cost effectiveness considerations - Life cycle costing of systems - Modeling, simulation and other analysis methods - Technology and its interplay with risk and its management - Systems acquisition and integration - Systems of systems - Thinking outside the box - Success and failure factors - Software engineering - Standards - Systems engineering management Together, these top-level aspects of systems engineering need to be understood and mastered in order to improve the way we build systems, as they typically become larger and more complex. Table of Contents: Definitions and Background / The Systems Approach / Systems Thinking / Key Elements of Systems Engineering / The Life Cycle Dimension / System Properties, Attributes and Features (PAFs) / Measures and Parameters / Architecting / Functional Decomposition / Requirements Engineering / Synthesis / Analysis / Cost-Effectiveness / Life Cycle Costing / Modeling and Simulation / Other Analysis Relationships / The Role of Technology / Risk Management / Testing, Verification, and Validation / Integration / Systems Engineering Management / Project Management / Software Engineering / Systems Acquisition / Systems of Systems / Thinking Outside the Box / Ten Failure Factors / A Success Audit / Standards

This book provides energy efficiency quantitative analysis and optimal methods for discrete manufacturing systems from the perspective of global optimization. In order to analyze and optimize energy efficiency for discrete manufacturing systems, it uses real-time access to energy consumption information and models of the energy consumption, and constructs an energy efficiency quantitative index system. Based on the rough set and analytic hierarchy process, it also proposes a principal component quantitative analysis and a combined energy efficiency quantitative analysis. In turn, the book addresses the design and development of quantitative analysis systems. To save energy consumption on the basis of energy efficiency analysis, it presents several optimal control strategies, including one for single-machine equipment, an integrated approach based on RWA-MOPSO, and one for production energy efficiency based on a teaching and learning optimal algorithm. Given its scope, the book offers a valuable guide for students, teachers, engineers and researchers in the field of discrete manufacturing systems.

The papers considered comprehensive range of topics including: Active Control Technology applications; optimisation of systems architecture for both reliability and cost; control low design, development and test; the application of handling qualities criteria and the operational demonstration ofsystem reliability.

The publication describes best practices for mentorship within the training programme, defines competencies for mentors and provides a tool for evaluating the mentorship programme.