Operational Research

This book addresses complex real-world problems with recent techniques. It comprises selected papers from the XX. congress APDIO held in Tomar, Portugal, in July 2019. The subject of the book is the application of operational research methodologies and techniques to address complex real problems. Readers will find interesting results and applications of operational research methods and techniques in the wide variety of the addressed problems. Of particular interest are the applications of, among others, linear, nonlinear and mixed-integer programing, multiobjective optimization, metaheuristics and hybrid heuristics, multicriteria decision analysis, data envelopment analysis, clustering techniques and decision support systems, in different areas such as supply chain management, scheduling problems, production management, logistics, energy, telecommunications and finance and health. In most chapters of the book, the described problems, methods and methodologies will be illustrated by auxiliary figures and tables, as well as algorithms. The main benefit of this book is to present the latest trends in operational research methods and methodologies by top Portuguese and international researchers. The book will present a wide scope of complex real-world applications addressed by recent theoretical techniques that aim to narrow the gap between academic researchers and practitioners.

Addresses complex real world problems with recent techniques Aims to narrow the gap between academic research and real world applications Contributions by top Portuguese and International researchers in Operational Research

Contenu
A. R. Aguiar, C. Soares de Morais, T. R. Pereira Ramos and A. P. Barbosa-Póvoa, Searching for a solution method for the Smart Waste Collection Routing Problem.- D. Câmara, T. Pinto-Varela and A. P. Barbosa-Póvoa, A multi-objective and multi-period model to the design and operation of a hydrogen supply chain: an applied case in Portugal.- A. A. Filho and H. F. Silva, The E-constrained method to solve a bi-objective problem of sustainable cultivation.- R. Macedo, F. Coelho, S. Relvas and A. Barbosa-Póvoa, In-house logistics operations enhancement in the automobile industry using simulation.- A. Moghanni and M. Pascoal, The rough interval shortest path problem.- T. Monteiro, J. P. Pedroso, A. Viana and X. Klimentova, Reinforcement Learning for Robust Optimization: an Application in Kidney Exchange Programs.- M. Oliveira and I. Marques, Facing dynamic demand for surgeries in a Portuguese case study.- Ó. Oliveira, D. Gamboa and E. Silva, Adaptive Sequence-based Heuristic for Two-DimensionalNon-Guillotine Packing Problems.- M. T. Pereira, C. Lopes, L. P. Ferreira and S. Oliveira, A CVRP Model for an In-plant Milk Run System.- J. P. Ribeiro, B. Mota and A. Barbosa-Póvoa, Merging Resilience and Sustainability in Supply Chain Design.- F. K. Setti, Carla A. S. Geraldes, J. P. Almeida and M. G. Trentin, Analysis and Optimisation of a Production Line Using Discrete Simulation.- Cátia da Silva, A. Carvalho and A. Barbosa-Póvoa, Design and Planning of Green Supply Chains with Risk Concerns.- M. Simões, R. Rocha and A. Camanho, Benchmarking Smart Grid Research & Development engagement by European Distribution System Operators.- M. Vieira, F. Coelho, Cátia da Silva, B. Mota, J. Guapo, R. Macedo, B. Gonçalves, S. Moniz, T. Pinto-Varela, A. Carvalho, S. Relvas and A. P. Barbosa-Póvoa, Towards an integrated decision-support framework for the new generation of manufacturing systems. <p