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Book Cover
E-book
Author Li, Lin

Title Sustainable Manufacturing Systems
Published Newark : John Wiley & Sons, Incorporated, 2022
©2023

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Description 1 online resource (433 pages)
Series IEEE Press Series on Systems Science and Engineering Ser
IEEE Press Series on Systems Science and Engineering Ser
Contents Cover -- Title Page -- Copyright Page -- Contents -- Author Biography -- Preface -- Acknowledgments -- List of Figures -- Part I Introductions to Energy Efficiency in Manufacturing Systems -- Chapter 1 Introduction -- 1.1 Definitions and Practices of Sustainable Manufacturing -- 1.1.1 Current Status of Manufacturing Industry -- 1.1.2 Sustainability in the Manufacturing Sector and Associated Impacts -- 1.1.3 Sustainable Manufacturing Practices -- 1.2 Fundamental of Manufacturing Systems -- 1.2.1 Stages of Product Manufacturing -- 1.2.2 Classification of Manufacturing Systems -- 1.2.2.1 Job Shop -- 1.2.2.2 Project Shop -- 1.2.2.3 Cellular System -- 1.2.2.4 Flow Line -- 1.2.2.5 Continuous System -- 1.3 Problem Statement and Scope -- Problems -- References -- Chapter 2 Energy Efficiency in Manufacturing Systems -- 2.1 Energy Consumption in Manufacturing Systems -- 2.1.1 Energy and Power Basics -- 2.1.2 Energy Generation -- 2.1.2.1 Primary Energy -- 2.1.2.2 Secondary Energy -- 2.1.3 Energy Distribution -- 2.1.3.1 Electricity -- 2.1.3.2 Steam -- 2.1.3.3 Compressed Air -- 2.1.4 Energy Consumption -- 2.1.4.1 Indirect End Use -- 2.1.4.2 Direct Process End Use -- 2.1.4.3 Direct Non-process End Use -- 2.2 Energy Saving Potentials and Energy Management Strategies for Manufacturing Systems -- 2.2.1 Machine Level -- 2.2.1.1 Intrinsic Characteristics of Machine Tools -- 2.2.1.2 Processing Conditions -- 2.2.2 System Level -- 2.2.2.1 Inhomogeneous System -- 2.2.2.2 Machine Maintenance -- 2.2.3 Plant Level -- 2.2.3.1 Indirect End Use -- 2.2.3.2 Direct Non-process End Use -- 2.3 Demand-side Energy Management -- 2.3.1 Electricity Bill Components -- 2.3.1.1 Electricity Cost -- 2.3.1.2 Demand Cost -- 2.3.1.3 Fixed Cost -- 2.3.2 Energy Efficiency Programs -- 2.3.3 Demand Response Programs -- 2.3.3.1 Incentive-based Programs -- 2.3.3.2 Price Base Options -- Problems
4.1.2 Mathematical Models of Machines and Buffers -- 4.1.2.1 Timing Issues for Machines -- 4.1.2.2 Machine Reliability Models -- 4.1.2.3 Parameters of Aggregated Machines -- 4.1.2.4 Mathematical Model of Buffers -- 4.1.2.5 Interaction Between Machines and Buffers -- 4.1.2.6 Buffer State Transition -- 4.1.2.7 Blockage and Starvation -- 4.1.3 Performance Measures -- 4.1.3.1 Blockage and Starvation -- 4.1.3.2 Production Rate and Throughput -- 4.1.3.3 Work-in-process -- 4.2 Two-machine Production Lines -- 4.2.1 Conventions and Notations -- 4.2.1.1 Assumptions -- 4.2.1.2 Notations -- 4.2.2 State Transition -- 4.2.2.1 State Transition Probabilities -- 4.2.2.2 System Dynamics -- 4.2.3 Steady-state Probabilities -- 4.2.3.1 Identical Machines -- 4.2.3.2 Nonidentical Machines -- 4.2.4 Performance Measures -- 4.2.4.1 Blockage and Starvation -- 4.2.4.2 Production Rate -- 4.2.4.3 Work-in-process -- 4.3 Multi-machine Production Lines -- 4.3.1 Assumptions and Notations -- 4.3.1.1 Assumptions -- 4.3.1.2 Notations -- 4.3.2 State Transition -- 4.3.2.1 State Transition Probabilities -- 4.3.2.2 System Dynamics -- 4.3.3 Performance Measures -- 4.3.3.1 Blockage and Starvation -- 4.3.3.2 Production Rate -- 4.3.3.3 Work-in-process -- 4.3.4 System Modeling with Iteration-based Method -- 4.4 Production Lines Coupled with Material Handling Systems -- 4.4.1 Assumptions and Notations -- 4.4.1.1 Assumptions -- 4.4.1.2 Notations -- 4.4.2 State Transition and Performance -- 4.4.2.1 Blockage and Starvation -- 4.4.2.2 Production Rate -- Problems -- References -- Chapter 5 Energy Efficiency Characterization in Manufacturing Systems -- 5.1 Energy Consumption Modeling -- 5.1.1 Operation-based Energy Modeling -- 5.1.2 Component-based Energy Modeling -- 5.1.3 System-level Energy Modeling -- 5.2 Energy Cost Modeling -- 5.2.1 Energy Cost Under Flat Rate -- 5.2.1.1 Energy Consumption Cost
5.2.1.2 Demand Cost -- 5.2.2 Energy Cost Under Time-of-use Rate -- 5.2.2.1 Energy Consumption Cost -- 5.2.2.2 Demand Cost -- 5.2.3 Energy Cost Under Critical Peak Price (CPP) -- 5.2.3.1 Energy Consumption Cost -- 5.2.3.2 Demand Cost -- Problems -- References -- Part III Energy Management in Typical Manufacturing Systems -- Chapter 6 Electricity Demand Response for Manufacturing Systems -- 6.1 Time-of-use Pricing for Manufacturing Systems -- 6.1.1 Introduction to TOU -- 6.1.2 Survey of TOU Pricing in US Utilities -- 6.1.3 Comparison of Energy Cost Between Flat Rate and TOU Rates -- 6.2 TOU-based Production Scheduling for Manufacturing Systems -- 6.2.1 Manufacturing Systems Modeling -- 6.2.2 Energy Consumption and Energy Cost Modeling -- 6.2.3 Production Scheduling for TOU-based Demand Response -- 6.2.3.1 Production Scheduling Problem Formulation -- 6.2.3.2 PSO Algorithm for Near-optimal Solutions -- 6.2.3.3 Case Study Setup -- 6.2.3.4 Optimal Production Schedules -- 6.3 Critical Peak Pricing for Manufacturing Systems -- 6.3.1 Introduction to Critical Peak Pricing (CPP) -- 6.3.2 Comparison of Energy Cost Between TOU and CPP Rates -- Problems -- Appendix 3.A Supplementary Information of Demand Response Tariffs -- References -- Chapter 7 Energy Control and Optimization for Manufacturing Systems Utilizing Combined Heat and Power System -- 7.1 Introduction to Combined Heat and Power System -- 7.2 Problem Definition and Modeling -- 7.2.1 Objective Function -- 7.2.1.1 Electricity Cost -- 7.2.1.2 Operation Cost for the CHP System and Boiler -- 7.2.2 Constraints -- 7.3 Solution Approach -- 7.3.1 Initialization -- 7.3.2 Evaluation -- 7.3.3 Updating Process -- 7.4 Case Study -- 7.4.1 Case Study Settings -- 7.4.2 Results and Discussions -- Problems -- References -- Chapter 8 Plant-level Energy Management for Combined Manufacturing and HVAC System
8.1 Definition and Modeling -- 8.1.1 Objective Function -- 8.1.1.1 Calculate TEL(t) -- 8.1.1.2 Estimate q(t) -- 8.1.2 Constraints -- 8.2 Solution Approach -- 8.2.1 Initialization -- 8.2.2 Evaluation -- 8.2.3 Updating Process -- 8.3 Case Study -- 8.3.1 Model Settings -- 8.3.2 Results and Discussions -- Problems -- References -- Part IV Energy Management in Advanced Manufacturing Systems -- Chapter 9 Energy Analysis of Stereolithography-based Additive Manufacturing -- 9.1 Introduction to Additive Manufacturing -- 9.1.1 Illustration of MIP SL-based AM Process -- 9.2 Energy Consumption Modeling -- 9.2.1 Energy Consumption of UV Curing Process -- 9.2.2 Energy Consumption of Building Platform Movement -- 9.2.3 Energy Consumption of Cooling System -- 9.3 Experimentation -- 9.3.1 Experiment Design Methodology -- 9.3.2 Experiment Apparatus -- 9.4 Results and Discussions -- 9.4.1 Baseline Case Results Using Default Conditions -- 9.4.2 Factorial Analysis Results -- 9.4.3 Product Quality Comparison -- Problems -- References -- Chapter 10 Energy Efficiency Modeling and Optimization of Cellulosic Biofuel Manufacturing System -- 10.1 Introduction to Cellulosic Biofuel Manufacturing -- 10.2 Energy Modeling of Cellulosic Biofuel Production -- 10.2.1 Energy Modeling of Biomass Size Reduction Process -- 10.2.2 Energy Modeling of Biofuel Chemical Conversion Processes -- 10.2.2.1 Heating Energy -- 10.2.2.2 Energy Loss -- 10.2.2.3 Reaction Energy -- 10.2.2.4 Energy Recovery -- 10.2.2.5 Total Energy Consumption -- 10.3 Energy Consumption Optimization Using PSO -- 10.3.1 Problem Formulation -- 10.3.2 Solution Procedures -- 10.3.2.1 Initialization -- 10.3.2.2 Evaluation -- 10.3.2.3 Updating Process -- 10.4 Case Study -- 10.4.1 Case Settings -- 10.4.2 Energy Analysis of Baseline Case -- 10.4.2.1 Energy Consumption Breakdown -- 10.4.3 Energy Analysis of Optimal Results
Bibliography References -- Part II Mathematical Tools and Modeling Basics -- Chapter 3 Mathematical Tools -- 3.1 Probability -- 3.1.1 Fundamentals of Probability Theory -- 3.1.1.1 Basics of Probability Theory -- 3.1.1.2 Axioms of Probability Theory -- 3.1.1.3 Conditional Probability and Independence -- 3.1.1.4 Total Probability Theorem -- 3.1.1.5 Bayeś Law -- 3.1.2 Random Variables -- 3.1.2.1 Discrete Random Variables -- 3.1.2.2 Continuous Random Variables -- 3.1.3 Random Process -- 3.1.3.1 Discrete-time Markov Chain -- 3.1.3.2 Continuous-time Markov Chain -- 3.2 Petri Net -- 3.2.1 Formal Definition of Petri Net -- 3.2.1.1 Definition of Petri Net -- Execution Rules of Petri Net -- 3.2.2 Classical Petri Net -- 3.2.2.1 State Machine Petri Net -- 3.2.2.2 Marked Graph -- 3.2.2.3 Systematic Modeling Methods -- 3.2.3 Deterministic Timed Petri Net -- 3.2.4 Stochastic Petri Net -- 3.3 Optimization Methods -- 3.3.1 Fundamentals of Optimization -- 3.3.1.1 Objective Function -- 3.3.1.2 Decision Variables -- 3.3.1.3 Constraints -- 3.3.1.4 Local and Global Optimum -- 3.3.1.5 Near-optimal Solutions -- 3.3.1.6 Single-objective and Multi-objective Optimization -- 3.3.1.7 Deterministic and Stochastic Optimization -- 3.3.2 Genetic Algorithms -- 3.3.2.1 Initialization -- 3.3.2.2 Evaluation -- 3.3.2.3 Selection -- 3.3.2.4 Crossover -- 3.3.2.5 Mutation -- 3.3.2.6 Termination Criteria -- 3.3.3 Particle Swarm Optimizer (PSO) -- 3.3.3.1 Initialization -- 3.3.3.2 Evaluation -- 3.3.3.3 Personal and Global Best Positions -- 3.3.3.4 Updating Velocity and Position -- 3.3.3.5 Termination Criteria -- Problems -- References -- Chapter 4 Mathematical Modeling of Manufacturing Systems -- 4.1 Basics in Manufacturing System Modeling -- 4.1.1 Structure of Manufacturing Systems -- 4.1.1.1 Basic Components -- 4.1.1.2 Structural Modeling -- 4.1.1.3 Types of Manufacturing Systems
Notes Problems
Description based on publisher supplied metadata and other sources
Form Electronic book
Author Zhou, MengChu
ISBN 1119578310
9781119578314
1119578302
9781119578307
1119578329
9781119578321