Framework for Retail Demand and Supply Chain Planning -- Empirical Insights, Quantitative Models and Software Applications for Master Category Planning -- Assortment and Shelf Space Planning -- Assortment, Shelf Space and Inventory Planning -- Assortment, Shelf Space and Price Planning

Introduction -- Literature Review -- Single-Stage Service Level and Tardiness Model -- Simultaneous Capacity and Planned Lead Time Optimization -- Optimal Composition of Number and Size of Machines -- Service Level Constraint Models -- Conclusion.

This book examines the problem of maintenance planning and scheduling in industrial production systems. It presents two practically relevant, deterministic mathematical models: the capacitated planned maintenance problem (CPMP) and the weighted uncapacitated planned maintenance problem (WUPMP)....

This book addresses the challenging task of demand forecasting and inventory management in retailing. It analyzes how information from point-of-sale scanner systems can be used to improve inventory decisions, and develops a data-driven approach that integrates demand forecasting and inventory...

This book deals with dynamic and stochastic methods for multi-project planning. Based on the idea of using queueing networks for the analysis of dynamic-stochastic multi-project environments this book addresses two problems: detailed scheduling of project activities, and integrated order...

The book is a benefit for graduate and postgraduate students in the areas of operations research, decision theory, optimization theory, linear algebra, interval analysis, and fuzzy sets. The book will also be useful for the researchers in the respective areas. The first part of the book deals...

A Bicriteria Traveling Salesman Problem with Sequence Priorities -- Metaheuristics for Tourist Trip Planning -- Solving Fuzzy Multi-Item Economic Order Quantity Problems via Fuzzy Ranking Functions and Particle Swarm Optimization -- Fixed and Variable Toll Pricing in Road Networks with Direct...

In the twenty-first century the sustainability of energy and transportation systems is on the top of the political agenda in many countries around the world. Environmental impacts of human economic activity necessitate the consideration of conflicting goals in decision making processes to...

Artificial economics is a computational approach that aims to explain economic systems by modeling them as societies of intelligent software agents. The individual agents make autonomous decisions, but their actual behaviors are constrained by available resources, other individuals' behaviors,...