Search Results for: Modelling Supply Chain Dynamics
Modelling Supply Chain Dynamics
Author: Jose M. Framinan
Publisher: Springer Nature
ISBN: 9783030791896
Category: Technology & Engineering
Page: 216
View: 314
Download NowLanguage: en
Pages: 216
Pages: 216
This book discusses supply chain management, focusing on developments within modelling the dynamic behaviour of the supply chain. Aimed at postgraduate students, researchers and practitioners, this book provides an in-depth knowledge of the dynamics of supply chains. Business trends such as the globalisation process and the increase of competition across
Language: en
Pages: 297
Pages: 297
"Dynamic Modelling for Supply Chain Management" discusses how to streamline complex supply chain management by making the most of the growing number of tools available. The reader is introduced to the basic foundations from which to develop intelligent management strategies, as the book characterises the process and framework of modern
Language: en
Pages: 223
Pages: 223
This book constitutes the post conference proceedings of the 7th International Workshop on Enterprise and Organizational Modeling and Simulation, EOMAS 2011, held in conjunction with CAiSE 2011 in London, UK, in June 2011. Enterprises are purposefully designed systems used to fulfill certain functions. An extended enterprise and organizational study involves
Language: en
Pages: 320
Pages: 320
This book offers an introduction to structural dynamics, ripple effect and resilience in supply chain disruption risk management for larger audiences. In the management section, without relying heavily on mathematical derivations, the book offers state-of-the-art concepts and methods to tackle supply chain disruption risks and designing resilient supply chains in
Language: en
Pages: 334
Pages: 334
- INDEX OF PAPERS Paper 1. Basic Logistic Model Paper 2. Variability of Demand and Bullwhip Effect Paper 3. Effectiveness of Lean Manufacturing Paper 4. Life Cycle of Computers Paper 5. Influence of 3D Printing Paper 6. Forecasting Retail Electricity Market Paper 7. Machine Learning Simulation Paper 8. Improving the