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.
Erscheinungsdatum: 08.11.2021

lgrsnf/628.pdf

Operational Research IO 2019, Tomar, Portugal, July 22{u2013}24

Susana Relvas; João Paulo Almeida; José Fernando Oliveira; Alberto A Pinto; Associação Portuguesa para o Desenvonvimento da Investigação Operacional. Congress

Susana Relvas; João Paulo Almeida; José Fernando Oliveira; Alberto Adrego Pinto; SpringerLink (Online service)

Susana Relvas, João Paulo Almeida, José Fernando Oliveira, Alberto Adrego Pinto, A. Ismael F. Vaz

Susana Relvas;João Paulo Almeida;José Fernando Oliveira;Alberto Adrego Pinto;(eds.)

Relvas, Susana; Almeida, João Paulo; Oliveira, José Fernando; Pinto, Alberto Adrego

Author

Springer International Publishing AG

Springer Nature Switzerland AG

Springer proceedings in mathematics & statistics, volume 374, Cham, Switzerland, 2021

Springer Nature, Cham, 2021

Switzerland, Switzerland

1st ed, S.l, 2021

2, 20211107

Preface
Contents
Contributors
Searching for a Solution Method for the Smart Waste Collection Routing Problem
1 Introduction
2 Literature Review
3 A New Solution Methodology for the Smart Waste Collection Routing Problem
3.1 Problem Statement
3.2 Solution Methodology
4 Case Study
5 Results and Discussion
6 Conclusions
References
A Multi-objective and Multi-period Model to the Design and Operation of a Hydrogen Supply Chain: An Applied Case in Portugal
1 Introduction
2 Problem Characterization
3 Methodology
3.1 Model Approach
3.2 Solution Approach
4 Case Study
5 Results and Discussion
6 Conclusions
References
The ε-Constrained Method to Solve a Bi-Objective Problem of Sustainable Cultivation
1 Introduction
2 Mathematical Modeling
2.1 Linearization of the z1 Function
3 The ε-Constrained Method
4 Computational Results
5 Conclusions
References
In-House Logistics Operations Enhancement in the Automobile Industry Using Simulation
1 Introduction
2 Literature Review
3 Problem Description
4 Model Development
5 Model Validation and Results Analysis
6 Conclusions
References
The Rough Interval Shortest Path Problem
1 Introduction
2 Preliminary Concepts
2.1 Rough Set Theory
2.2 Interval Arithmetic
3 The Rough Interval Shortest Path Problem
4 Algorithmic Approach
5 Computational Experiments
6 Conclusions
References
Reinforcement Learning for Robust Optimization: An Application in Kidney Exchange Programs
1 Introduction
2 Literature Review
3 Problem Description
3.1 Integer Programming Model—Cycle Formulation
3.2 Monte Carlo Tree Search
3.3 Algorithm
4 Results
5 Conclusions
References
Facing Dynamic Demand for Surgeries in a Portuguese Case Study
1 Introduction
2 Mathematical Model
3 Computational Experiments
4 Conclusions
References
Adaptive Sequence-Based Heuristic for Two-Dimensional Non-guillotine Packing Problems
1 Introduction
2 Literature Review
2.1 Single Bin Size Bin Packing Problem
2.2 Single Knapsack Problem
3 Adaptive Sequence-Based Heuristic (ASH)
4 Computational Results
4.1 Single Bin Size Bin Packing Problem
4.2 Single Knapsack Problem
5 Conclusion
References
A CVRP Model for an In-Plant Milk Run System
1 Introduction
2 Literature Review
3 Problem Description
4 The Mathematical Model
5 Results
6 Conclusions
References
Merging Resilience and Sustainability in Supply Chain Design
1 Introduction
2 Problem Characteristics
3 Model Description
4 Case Study
5 Results
6 Conclusion and Future Work
References
Analysis and Optimisation of a Production Line Using Discrete Simulation
1 Introduction
2 Simulation
3 Case Study
4 Methodology
4.1 Scenarios with Intermediate Stock of WIP Items
4.2 Scenarios with the Addition of New Equipment
4.3 Scenarios with a Mixed Strategy: Addition of New Equipment and with Intermediate Stock of WIP Items
5 Research Results and Discussion
6 Conclusions
References
Design and Planning of Green Supply Chains with Risk Concerns
1 Introduction
2 Methodologies for Monetization of Environmental Impacts
3 Problem Description and Model Characterization
4 Case Study
5 Results
6 Conclusion
References
Benchmarking Smart Grid Research & Development Engagement by European Distribution System Operators
1 Introduction
2 Methodology
2.1 Construction of Composite Indicators Using DEA
2.2 Framework for the Performance Evaluation
3 Case Study Presentation
4 Discussion of Results
4.1 First-Stage Results—DSOs' Performance per SG Area
4.2 Second-Stage Results—DSOs' Performance in the SGs Field
4.3 Malmquist Index Results—Evolution of DSOs' Performance over Time
5 Conclusions
References
Towards an Integrated Decision-Support Framework for the New Generation of Manufacturing Systems
1 Introduction
2 The Need for Integrated Decision-Support
3 Integrated Framework
3.1 Production Planning and Scheduling
4 Conclusions
References

2022-04-08