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In Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics, Andrew Greasley provides an in-depth discussion of
Business process simulation and how it can enable business analytics
How business process simulation can provide speed, cost, dependability, quality, and flexibility metrics
Industrial case studies including improving service delivery while ensuring an efficient use of staff in public sector organizations such as the police service, testing the capacity of planned production facilities in manufacturing, and ensuring on-time delivery in logistics systems
State-of-the-art developments in business process simulation regarding the generation of simulation analytics using process mining and modeling people¿s behavior
Managers and decision makers will learn how simulation provides a faster, cheaper and less risky way of observing the future performance of a real-world system. The book will also benefit personnel already involved in simulation development by providing a business perspective on managing the process of simulation, ensuring simulation results are implemented, and that performance is improved.
In Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics, Andrew Greasley provides an in-depth discussion of
Business process simulation and how it can enable business analytics
How business process simulation can provide speed, cost, dependability, quality, and flexibility metrics
Industrial case studies including improving service delivery while ensuring an efficient use of staff in public sector organizations such as the police service, testing the capacity of planned production facilities in manufacturing, and ensuring on-time delivery in logistics systems
State-of-the-art developments in business process simulation regarding the generation of simulation analytics using process mining and modeling people¿s behavior
Managers and decision makers will learn how simulation provides a faster, cheaper and less risky way of observing the future performance of a real-world system. The book will also benefit personnel already involved in simulation development by providing a business perspective on managing the process of simulation, ensuring simulation results are implemented, and that performance is improved.
- Introduction to Process Simulation (10000)
- Why is Process Simulation Needed for Analytics? (5000)
- Enabling a Process Simulation Capability (5000)
- Undertaking a Process Simulation Study (25000)
- Process Simulation Case Studies (30000)
- Challenges and the Future (15000)
Introduction to Simulation in Business
The 3 main types of Simulation - Process Simulation (Discrete Event Simulation), Agent Based Modeling and System Dynamics
The History of Process Simulation
Application Areas of Process Simulation
Static (LP, Regression, Forecasting) vs. Dynamic (Process Simulation) Modeling
Variability and Interdependence of Processes in Business Systems
What-If vs Optimization of Processes with Analytics
Analytics Performance Metrics - Speed, Cost, Dependability, Quality, Flexibility
Selection of process simulation software and training needs
Preparing a Process Simulation Proposal
Data Collection
Process mapping
Input Modeling
Building the Model
Output Modeling
The booking clerk: An illustrative example
Speed: Warwickshire Police Force
Cost: Derbyshire Police Force
Dependability: Pallex Ltd.
Quality: Jinsheng Group Ltd.
Flexibility: Golden Wonder Ltd.
Modeling People's behavior
Incorporating Big Data
Servitization and Advanced Services
| Erscheinungsjahr: | 2019 |
|---|---|
| Fachbereich: | Betriebswirtschaft |
| Genre: | Wirtschaft |
| Rubrik: | Recht & Wirtschaft |
| Medium: | Taschenbuch |
| Inhalt: |
X
342 S. 127 s/w Illustr. 20 s/w Tab. 127 b/w ill. 20 b/w tbl. |
| ISBN-13: | 9781547416745 |
| ISBN-10: | 1547416742 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: | Greasley, Andrew |
| Hersteller: |
De Gruyter
Walter de Gruyter Inc. |
| Maße: | 240 x 170 x 20 mm |
| Von/Mit: | Andrew Greasley |
| Erscheinungsdatum: | 21.10.2019 |
| Gewicht: | 0,598 kg |
- Introduction to Process Simulation (10000)
- Why is Process Simulation Needed for Analytics? (5000)
- Enabling a Process Simulation Capability (5000)
- Undertaking a Process Simulation Study (25000)
- Process Simulation Case Studies (30000)
- Challenges and the Future (15000)
Introduction to Simulation in Business
The 3 main types of Simulation - Process Simulation (Discrete Event Simulation), Agent Based Modeling and System Dynamics
The History of Process Simulation
Application Areas of Process Simulation
Static (LP, Regression, Forecasting) vs. Dynamic (Process Simulation) Modeling
Variability and Interdependence of Processes in Business Systems
What-If vs Optimization of Processes with Analytics
Analytics Performance Metrics - Speed, Cost, Dependability, Quality, Flexibility
Selection of process simulation software and training needs
Preparing a Process Simulation Proposal
Data Collection
Process mapping
Input Modeling
Building the Model
Output Modeling
The booking clerk: An illustrative example
Speed: Warwickshire Police Force
Cost: Derbyshire Police Force
Dependability: Pallex Ltd.
Quality: Jinsheng Group Ltd.
Flexibility: Golden Wonder Ltd.
Modeling People's behavior
Incorporating Big Data
Servitization and Advanced Services
| Erscheinungsjahr: | 2019 |
|---|---|
| Fachbereich: | Betriebswirtschaft |
| Genre: | Wirtschaft |
| Rubrik: | Recht & Wirtschaft |
| Medium: | Taschenbuch |
| Inhalt: |
X
342 S. 127 s/w Illustr. 20 s/w Tab. 127 b/w ill. 20 b/w tbl. |
| ISBN-13: | 9781547416745 |
| ISBN-10: | 1547416742 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: | Greasley, Andrew |
| Hersteller: |
De Gruyter
Walter de Gruyter Inc. |
| Maße: | 240 x 170 x 20 mm |
| Von/Mit: | Andrew Greasley |
| Erscheinungsdatum: | 21.10.2019 |
| Gewicht: | 0,598 kg |
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