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Produktbild: Sustainable Manufacturing Systems: An Energy Perspective

Sustainable Manufacturing Systems: An Energy Perspective

Aus der Reihe IEEE Series on Systems Science and Engineering

161,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

22.11.2022

Verlag

John Wiley & Sons Inc

Seitenzahl

432

Maße (L/B/H)

23,5/15,7/2,8 cm

Gewicht

775 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-119-57824-6

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

22.11.2022

Verlag

John Wiley & Sons Inc

Seitenzahl

432

Maße (L/B/H)

23,5/15,7/2,8 cm

Gewicht

775 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-119-57824-6

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: GPSR Kontakt

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  • Produktbild: Sustainable Manufacturing Systems: An Energy Perspective
  • Author Biography xv
     
    Preface xvii
     
    Acknowledgments xxiii
     
    List of Figures xxv
     
    Part I Introductions to Energy Efficiency in Manufacturing Systems 1
     
    1 Introduction 3
     
    1.1 Definitions and Practices of Sustainable Manufacturing 3
     
    1.1.1 Current Status of Manufacturing Industry 3
     
    1.1.2 Sustainability in the Manufacturing Sector and Associated Impacts 5
     
    1.1.3 Sustainable Manufacturing Practices 10
     
    1.2 Fundamental of Manufacturing Systems 12
     
    1.2.1 Stages of Product Manufacturing 12
     
    1.2.2 Classification of Manufacturing Systems 13
     
    1.2.2.1 Job Shop 13
     
    1.2.2.2 Project Shop 14
     
    1.2.2.3 Cellular System 15
     
    1.2.2.4 Flow Line 15
     
    1.2.2.5 Continuous System 15
     
    1.3 Problem Statement and Scope 18
     
    Problems 19
     
    References 19
     
    2 Energy Efficiency in Manufacturing Systems 23
     
    2.1 Energy Consumption in Manufacturing Systems 23
     
    2.1.1 Energy and Power Basics 23
     
    2.1.2 Energy Generation 24
     
    2.1.2.1 Primary Energy 25
     
    2.1.2.2 Secondary Energy 27
     
    2.1.3 Energy Distribution 27
     
    2.1.3.1 Electricity 28
     
    2.1.3.2 Steam 30
     
    2.1.3.3 Compressed Air 30
     
    2.1.4 Energy Consumption 31
     
    2.1.4.1 Indirect End Use 33
     
    2.1.4.2 Direct Process End Use 33
     
    2.1.4.3 Direct Non-process End Use 34
     
    2.2 Energy Saving Potentials and Energy Management Strategies for Manufacturing Systems 35
     
    2.2.1 Machine Level 39
     
    2.2.1.1 Intrinsic Characteristics of Machine Tools 41
     
    2.2.1.2 Processing Conditions 42
     
    2.2.2 System Level 43
     
    2.2.2.1 Inhomogeneous System 44
     
    2.2.2.2 Machine Maintenance 45
     
    2.2.3 Plant Level 46
     
    2.2.3.1 Indirect End Use 46
     
    2.2.3.2 Direct Non-process End Use 47
     
    2.3 Demand-side Energy Management 49
     
    2.3.1 Electricity Bill Components 50
     
    2.3.1.1 Electricity Cost 51
     
    2.3.1.2 Demand Cost 51
     
    2.3.1.3 Fixed Cost 52
     
    2.3.2 Energy Efficiency Programs 52
     
    2.3.3 Demand Response Programs 55
     
    2.3.3.1 Incentive-based Programs 56
     
    2.3.3.2 Price Base Options 57
     
    Problems 59
     
    References 59
     
    Part II Mathematical Tools and Modeling Basics 65
     
    3 Mathematical Tools 67
     
    3.1 Probability 67
     
    3.1.1 Fundamentals of Probability Theory 67
     
    3.1.1.1 Basics of Probability Theory 67
     
    3.1.1.2 Axioms of Probability Theory 69
     
    3.1.1.3 Conditional Probability and Independence 72
     
    3.1.1.4 Total Probability Theorem 73
     
    3.1.1.5 Bayes' Law 74
     
    3.1.2 Random Variables 74
     
    3.1.2.1 Discrete Random Variables 75
     
    3.1.2.2 Continuous Random Variables 82
     
    3.1.3 Random Process 88
     
    3.1.3.1 Discrete-time Markov Chain 89
     
    3.1.3.2 Continuous-time Markov Chain 92
     
    3.2 Petri Net 94
     
    3.2.1 Formal Definition of Petri Net 95
     
    3.2.1.1 Definition of Petri Net 95
     
    3.2.2 Classical Petri Net 99
     
    3.2.2.1 State Machine Petri Net 101
     
    3.2.2.2 Marked Graph 102
     
    3.2.2.3 Systematic Modeling Methods 105
     
    3.2.3 Deterministic Timed Petri Net 106
     
    3.2.4 Stochastic Petri Net 109
     
    3.3 Optimization Methods 113
     
    3.3.1 Fundamentals of Optimization 113
     
    3.3.1.1 Objective Function 114
     
    3.3.1.2 Decision Variables 114
     
    3.3.1.3 Constraints 115
     
    3.3.1.4 Local and Global Optimum 116
     
    3.3.1.5 Near-optimal Solutions 117
    &nbs