Platform Supply Chains 1
Predict-then-optimize Paradigm
Buch in deiner Nähe kaufen
Beschreibung
This open access book provides a cutting-edge framework for leveraging data-driven predictions to solve complex operational problems in platform-based supply chains. It moves beyond traditional models by integrating advanced machine learning with optimization techniques, enabling managers to make smarter, more adaptive decisions in dynamic digital environments.
The approach bridges the gap between predictive analytics and operational decision-making, introducing a structured “predict-then-optimize” methodology tailored for platform ecosystems. This dual focus allows for more robust and realistic solutions than purely deterministic or intuition-based approaches.
Key features and benefits include:
A unified framework that integrates prediction and optimization models for end-to-end supply chain decision-making;
Real-world case studies and examples that illustrate the application of the methodology in platform contexts;
Practical guidance on implementing predictive and optimization techniques using modern computational tools.
This open access book provides a cutting-edge framework for leveraging data-driven predictions to solve complex operational problems in platform-based supply chains. It moves beyond traditional models by integrating advanced machine learning with optimization techniques, enabling managers to make smarter, more adaptive decisions in dynamic digital environments.
The approach bridges the gap between predictive analytics and operational decision-making, introducing a structured “predict-then-optimize” methodology tailored for platform ecosystems. This dual focus allows for more robust and realistic solutions than purely deterministic or intuition-based approaches.
Key features and benefits include:
A unified framework that integrates prediction and optimization models for end-to-end supply chain decision-making;
Real-world case studies and examples that illustrate the application of the methodology in platform contexts;
Practical guidance on implementing predictive and optimization techniques using modern computational tools.
This book is open access, which means that you have free and unlimited access Bridges the critical gap between predictive analytics and optimization modeling specifically for platform supply chains Combines machine learning algorithm and rigorous optimization model to solve operations management problems Offers a practical roadmap for implementing data-driven decision-making with demonstrated case studies
Autor*in
Yugang Yu
Themen in »Platform Supply Chains 1«
Open Access Platform Supply Chain Business Analytics Product Design Product Line Assortment Nonstationary Demand Newsvendor Fast Fashion Inventory Management E-Commerce