基于信息论的制造系统复杂性评价(英文版)

1 Introduction 1.1 On the theme of the book 1.2 Sources and drivers of manufacturing complexity 1.3 Types of complexity 1.4 Complexity in manufacturing industry 1.5 Complexity in the product development process 1.6 The main content, feature and structure of this book 2 Methods for assessing and measuring the complexity of manufacturing systems 2.1 Chaos and nonlinear dynamics theory 2.2 Fluid dynamics analogy 2.3 Graph theory 2.4 Heuristics 2.5 Information theory 2.6 Surveys 2.7 Measuring manufacturing systems complexity 3 Assessment and measure of the structural complexity of manufacturing systems 3.1 Introduction 3.2 Analysis on the complexity and utility of manufacturing systems 3.3 Related works and the concept of structure entropy 3.4 Structure entropy model and ordered indices of manufacturing system 3.5 An empirical study 3.6 Analysis of results 3.7 Limitations of this Study and future research 4 Assessment and measure of the dynamic complexity of manufacturing systems 4.1 Introduction 4.2 Methodological issues of dynamic complexity 4.3 Definition and modelling of dynamic complexity 4.4 Measurement of dynamic complexity 4.5 An empirical study of dynamic complexity 4.6 Analysis and discussion 4.7 Conclusions 5 Assessment and measure of the operational complexity of production systems 5.1 Introduction 5.2 Literature review 5.3 Evaluation indexes on the operation of production systems 5.4 Fuzzy information entropy 5.5 The operation entropy model of production systems 5.6 Case study 5.7 Conclusion 6 Assessment and measure of the dissipative structure complexity of manufacturing systems 6.1 Introduction 6.2 Modeling the dissipative structure of manufacturing systems 6.3 Solution method of dissipative structure model 6.4 An empirical study 6.5 Conclusion 7 Global business and enterprise manufacturing complexity 7.1 Global supply chain complexity 7.2 Concept of global manufacturing complexity and socio-technical systems 7.3 Managing dynamic business landscape and sustainability 7.4 A globe complexity measurement model 7.5 A case study 7.6 Analysis and discussion 8 Conclusions and future research directions 8.1 Summary of contributions and conclusions 8.2 Future research directions References