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Developing Modular-Oriented Simulation Models Using System Dynamics Libraries 1st ed. 2016 [Pehme köide]

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  • Formaat: Paperback / softback, 105 pages, kõrgus x laius: 235x155 mm, kaal: 1942 g, 23 Illustrations, color; 15 Illustrations, black and white; XIII, 105 p. 38 illus., 23 illus. in color., 1 Paperback / softback
  • Sari: SpringerBriefs in Electrical and Computer Engineering
  • Ilmumisaeg: 21-Jul-2016
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319331671
  • ISBN-13: 9783319331676
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Developing Modular-Oriented Simulation Models Using System Dynamics Libraries 1st ed. 2016Suurem pilt
  • Formaat: Paperback / softback, 105 pages, kõrgus x laius: 235x155 mm, kaal: 1942 g, 23 Illustrations, color; 15 Illustrations, black and white; XIII, 105 p. 38 illus., 23 illus. in color., 1 Paperback / softback
  • Sari: SpringerBriefs in Electrical and Computer Engineering
  • Ilmumisaeg: 21-Jul-2016
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319331671
  • ISBN-13: 9783319331676
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783319331676.html
Märksõnad:
This SpringerBrief introduces the development and practical application of a module-oriented development framework for domain specific system-dynamic libraries (SDL approach), which can be used in the simulation of multi-causal and dynamic relationships on different levels of an industry, as an example the construction industry. Multidisciplinary research and development teams, scientists from different domains as well as practitioners can develop SDL units from varying perspectives based on this approach. For example, the explanation of the risk situation of a company, the identification and evaluation of project risks, endangered operational procedures on various functional levels, or to improve the understanding of the decision making process in detail. This book is an excellent source for researchers, programmers and practitioners. It enables the development of suitable simulation systems from the beginning and demonstrates that it is possible to connect the development of simulation models and daily work. It provides advanced-level students from different domains with a comprehensive overview and clear understanding of a new and valuable modeling technique.
1 Introduction
1(8)
1.1 Motivation and Aim
1(1)
1.2 Definition of the Term "Simulation"
2(1)
1.3 Characterizing Features
3(6)
1.3.1 Model
3(2)
1.3.2 System
5(1)
1.3.3 Simulation
6(1)
References
7(2)
2 Module-Oriented Modeling Approach
9(28)
2.1 System Dynamics
9(12)
2.1.1 Background
10(1)
2.1.2 Excursus: Mental and Formal Models
11(2)
2.1.3 Advantages and Limitations
13(2)
2.1.4 Graphic Representations and Constitutive Elements
15(6)
2.2 System Dynamics in the Field of Construction
21(1)
2.3 Domain-Specific Libraries of Simulation Modules
22(15)
2.3.1 System Dynamics Libraries
22(2)
2.3.2 Synergistic Modeling and Simulation Using SDL
24(2)
2.3.3 SDL Process Ontology
26(1)
2.3.4 SDL Notation
27(3)
2.3.5 Unified System Dynamics Modeling Language
30(1)
2.3.6 Modeling and Simulation with the SDL
31(2)
2.3.7 Software Selection for the SD Simulation
33(1)
References
34(3)
3 Exemplary Development of a Model Library
37(38)
3.1 Purpose of the Model
37(2)
3.2 System Limits
39(1)
3.3 Fundamental Cause-Effect Relationships
39(1)
3.4 Identification of the Relevant System Parameters
40(1)
3.5 Atoms
41(4)
3.5.1 Materials
42(1)
3.5.2 Storage
42(1)
3.5.3 Equipment
43(1)
3.5.4 Personnel
44(1)
3.6 Molecules
45(12)
3.6.1 Operations and Procurement (OP)
45(4)
3.6.2 Human Resources and Leadership (HL)
49(1)
3.6.3 Finances and Governance (FG)
50(7)
3.7 Components
57(15)
3.7.1 Costs of Construction Site Setup
58(1)
3.7.2 Costs of Earthwork
59(6)
3.7.3 Costs Building Shell
65(7)
3.8 Project Model
72(3)
References
74(1)
4 Implementation of the Model Elements
75(8)
4.1 Structure of the Project Simulation
75(8)
4.1.1 Project Definition
76(1)
4.1.2 Construction Site Setup
76(3)
4.1.3 Building Shell Processes
79(4)
5 Selected Results of Prototypical Implementation
83(8)
5.1 Results of Simulation
83(8)
5.1.1 Simulation Experiments
84(3)
5.1.2 Discussion of the Simulation Experiments
87(3)
References
90(1)
6 Summary and Outlook
91(4)
References
93(2)
7 Appendix
95(6)
7.1 Quantitative Data for the Simulation Experiments
95(2)
7.2 Approximated Cost Functions
97(4)
7.2.1 Scenario S1: Basis
98(1)
7.2.2 Scenario S2: Vocational Adjustment
98(1)
7.2.3 Scenario S3: Experience
98(1)
7.2.4 Scenario S4: Overtime
98(1)
7.2.5 Scenario S5: Overtime (S4) and Vocational Adjustment (S2)
98(1)
7.2.6 Scenario S6: Experience (S3) and Variation of Time for Quality Management
99(1)
7.2.7 Scenario S7: Overtime (S4) and Variation of Time for Quality Management
99(1)
7.2.8 Scenario S8: Crisis Management of a Bad Case Scenario
99(1)
Reference
99(2)
8 Further Readings
101(2)
Index 103