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Simheuristics Approaches for Efficient Decision-Making Support in Materials Trading Networks

Markus Rabe, Majsa Ammouriova, Dominik Schmitt, Felix Dross
2021 Algorithms  
The distribution process in business-to-business materials trading is among the most complex and in transparent ones within logistics.  ...  Simulation-optimisation approaches have been proposed in this context, for example based on evolutionary algorithms.  ...  Summary and Outlook In this research, we have developed a logistics assistance system to support decisionmaking in material trading networks.  ... 
doi:10.3390/a14010023 fatcat:2pkphey3rvcdzktsibgl6isoiy

A review of simheuristics: Extending metaheuristics to deal with stochastic combinatorial optimization problems

Angel A. Juan, Javier Faulin, Scott E. Grasman, Markus Rabe, Gonçalo Figueira
2015 Operations Research Perspectives  
'Simheuristics' allow modelers for dealing with real-life uncertainty in a natural way by integrating simulation (in any of its variants) into a metaheuristic-driven framework.  ...  These optimizationdriven algorithms rely on the fact that efficient metaheuristics already exist for the deterministic version of the corresponding COP.  ...  Acknowledgments This work has been partially supported by the Spanish Ministry of Economy and Competitiveness (grant TRA2013-48180-C3-P), FEDER, and the Ibero-American Programme for Science and Technology  ... 
doi:10.1016/j.orp.2015.03.001 fatcat:xlfcjsamyfaenao7lfj6wmsy7q

Why Simheuristics? Benefits, Limitations, and Best Practices When Combining Metaheuristics with Simulation

Manuel Chica, Angel A. Juan PPrez
2017 Social Science Research Network  
From smart cities to factories and business, many decision-making processes in our society involve NP-hard optimization problems.  ...  Accordingly, this paper argues that approaches combining simulation with metaheuristics, i.e., simheuristics, not only constitute a natural extension of metaheuristics, but also should be considered as  ...  Finally, Gruler et al. (2016) develop a simheuristic approach for supporting stochastic waste-collection management in urban areas.  ... 
doi:10.2139/ssrn.2919208 fatcat:ttanu6lsqfd7piqdzkgjp77nhm

Constraint-based robust planning and scheduling of airport apron operations through simheuristics

Yagmur S. Gök, Silvia Padrón, Maurizio Tomasella, Daniel Guimarans, Cemalettin Ozturk
2022 Annals of Operations Research  
This supports a wider applicability of our approach in a multiple-stakeholder environment.  ...  Simulation is integrated within the optimization process, following simheuristic techniques, which are augmented with an efficient search driving mechanism.  ...  We would especially like to thank Angela Chitzanidi for all her  ... 
doi:10.1007/s10479-022-04547-0 fatcat:yl4l3qest5eqxnm7gjjgq22oz4

The Role of Simulation and Serious Games in Teaching Concepts on Circular Economy and Sustainable Energy

Rocio de la Torre, Bhakti S. Onggo, Canan G. Corlu, Maria Nogal, Angel A. Juan
2021 Energies  
In this way, it is expected that future professionals and managers will be aware of the importance of energy optimization, and will learn a series of computational methods that can support the decision-making  ...  The prevailing need for a more sustainable management of natural resources depends not only on the decisions made by governments and the will of the population, but also on the knowledge of the role of  ...  in combination with optimization methods-to increase the efficiency of different transportation systems and supply chain networks.  ... 
doi:10.3390/en14041138 fatcat:c2hvvxtvgrah5jioetafzd4rcm

Electric Vehicle Routing, Arc Routing, and Team Orienteering Problems in Sustainable Transportation

Leandro do C. Martins, Rafael D. Tordecilla, Juliana Castaneda, Angel A. Juan, Javier Faulin
2021 Energies  
that aim at generating efficient and sustainable routing plans for hybrid fleets, including both electric and internal combustion engine vehicles.  ...  During the last years, several researchers from the Computer Science, Artificial Intelligence, and Operations Research communities have been developing optimization, simulation, and machine learning approaches  ...  Acknowledgments: This work has been partially supported by the Spanish Ministry of Science, Innovation, and Universities (PID2019-111100RB-C21-C22/AEI/10.13039/501100011033, RED2018-102642-T), the SEPIE  ... 
doi:10.3390/en14165131 fatcat:txzytoz5q5h3lj6at5i3nfhscu

Simulation-Optimization Methods for Designing and Assessing Resilient Supply Chain Networks under Uncertainty Scenarios: A Review

Rafael D. Tordecilla, Angel A. Juan, Jairo R. Montoya-Torres, Carlos L. Quintero-Araujo, Javier Panadero
2020 Simulation modelling practice and theory  
From this review, we classify some of the many works in the topic according to factors such as their methodology, the approach they use to deal with uncertainty and risk, etc.  ...  learning methods to account for uncertainty and dynamic conditions, respectively.  ...  Acknowledgement(s) This work has been partially supported by the IoF2020 and the Erasmus+ Programs (2018-1-ES01-KA103-049767).  ... 
doi:10.1016/j.simpat.2020.102166 pmid:32837454 pmcid:PMC7417904 fatcat:xhxrd6boh5hd7hfv7nmf47l5wa

Sustainable Liquefied Natural Gas Supply Chain Management: A Review of Quantitative Models

Sara Al-Haidous, Tareq Al-Ansari
2019 Sustainability  
To enable natural gas delivery from the producer to consumers, natural gas is liquified to enhance transportation efficiency and reliability.  ...  Energy security has evolved to include the protection of the entire energy supply chain and infrastructure rather than a consideration for the availability of resources alone.  ...  [55] designed a support decision-making tool for a combined sugar and production of the ethanol supply chain.  ... 
doi:10.3390/su12010243 fatcat:tqwmc3hhv5fyjfysi3gst6prqi

Combining Parallel Computing and Biased Randomization for Solving the Team Orienteering Problem in Real-Time

Javier Panadero, Majsa Ammouriova, Angel A. Juan, Alba Agustin, Maria Nogal, Carles Serrat
2021 Applied Sciences  
In addition, an 'agile' optimization algorithm is presented to plan these routes for drones and other autonomous vehicles.  ...  Furthermore, the team of vehicles should serve their customers by specified due date efficiently.  ...  In this context, optimization algorithms are redesigned to become (i) extremely fast to support real-time decision-making; (ii) extendable to adapt parallelization techniques; (iii) flexible to handle  ... 
doi:10.3390/app112412092 fatcat:hyxu6k5ehneqzasssgomuedbjq

Building Information Modeling (BIM) for Construction and Demolition Waste Management in Australia: A Research Agenda

Dongchen Han, Mohsen Kalantari, Abbas Rajabifard
2021 Sustainability  
Moreover, the development of regional-oriented material banks and their harmonization with life cycle assessment databases can extend the potential of BIM-based sustainability analysis, making it applicable  ...  First, this study identifies the barriers that hinder the implementation of C&DWM in Australia; then, it explores the benefits and challenges of leveraging BIM applications for C&DWM.  ...  A case study in Sydney conducted by Yazdani et al. demonstrates the capability of a simheuristic approach for C&DW collection routing, wherein a hybrid Genetic Algorithm (GA) is developed to mitigate the  ... 
doi:10.3390/su132312983 fatcat:fc2f7tp35vhjdpflr2qxk3m36q

Reducing Efficiency of Connectivity-Splitting Attack on Newscast via Limited Gossip [chapter]

Jakub Muszyński, Sébastien Varrette, Pascal Bouvry
2016 Lecture Notes in Computer Science  
trading shares.  ...  To account for the stochastic nature of the problem the simheuristic approach is used in which a metaheuristic algorithm uses simulation to evaluate candidate solutions.  ... 
doi:10.1007/978-3-319-31204-0_20 fatcat:27rnwllk75cv5kncys2u7utreq

Integrated Simulation-Based Optimization of Operational Decisions at Container Terminals

Marvin Kastner, Nicole Nellen, Anne Schwientek, Carlos Jahn
2021 Algorithms  
Within short time windows, many operational decisions need to be made and should consider both time efficiency and equipment utilization.  ...  At container terminals, many cargo handling processes are interconnected and occur in parallel.  ...  For cases in which a combinatorial optimization problem is solved, the term "simheuristic" has been coined [35] .  ... 
doi:10.3390/a14020042 fatcat:nwcevpgnebdz3pohpogrdkdbxm

A review of modeling and control strategies for cone crushers in the mineral processing and quarrying industries

Andre S. Yamashita, Alex Thivierge, Thiago A.M. Euzébio
2021 Minerals Engineering  
The data are summarized in a table that makes locating a particular formulation or strategy quick and easy.  ...  A B S T R A C T Run-of-mine ore is usually too large to be useful for construction or metallurgy.  ...  Acknowledgments This work was supported by CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico) [Grant Nos. 402759/2018-4 and 444425/2018-7], ITV (Instituto Tecnológico Vale), Ouro Preto  ... 
doi:10.1016/j.mineng.2021.107036 fatcat:md3o2kl2nfbjbikalpgtafpva4

Integrated simulation-based optimization of operational decisions at container terminals

Marvin Kastner, Nicole Nellen, Anne Kathrina Schwientek, Carlos Jahn, TUHH Universitätsbibliothek
2021
Within short time windows, many operational decisions need to be made and should consider both time efficiency and equipment utilization.  ...  At container terminals, many cargo handling processes are interconnected and occur in parallel.  ...  For cases in which a combinatorial optimization problem is solved, the term "simheuristic" has been coined [35] .  ... 
doi:10.15480/882.3269 fatcat:6aw2qn5nnvddzd3gr2n2gzl5ka