Hybrid models as transdisciplinary research enablers

Tolk, Andreas; Harper, Alison; Mustafee, Navonil

doi:10.1016/j.ejor.2020.10.010

Cited by 53 publications

(20 citation statements)

References 120 publications

(147 reference statements)

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“…Compared to hybrid simulation (HS), which refers to the combined application of discrete and continuous simulation approaches such as SD, DES, and ABS to a single simulation study (see Brailsford et al 40 for a recent review of literature on this topic), HM is broader in scope. HM advocates the use of cross-disciplinary approaches, including interdisciplinary research paradigms, frameworks, methodologies, techniques, and tools 10 to one or more stages of a simulation study (e.g., conceptual modeling, model implementation, model execution, and scenario development) with the objective of creating the best possible representation of the system of interest. 41 Mustafee and Powell 24 in their paper titled “ From Hybrid Simulation to Hybrid Systems Modelling ” outline the difference between HS and HM approaches and present a unifying HS–HM conceptual representation.…”

Section: Hybrid Modeling Frameworkmentioning

confidence: 99%

“…Our HM methodology leverages the strengths of these individual (and interdisciplinary) techniques. 10 It provides a solution that best applies to the CFTP scenario that we present in this paper. The hybrid method is used to model an urban area that has a number of logistics clusters serving as hubs for various transportation networks with multiple warehouses operated by e-commerce businesses.…”

Section: Introductionmentioning

confidence: 99%

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Hybrid modeling of collaborative freight transportation planning using agent-based simulation, auction-based mechanisms, and optimization

et al. 2022

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The sharing economy is a peer-to-peer economic model characterized by people and organizations sharing resources. With the emergence of such economies, an increasing number of logistics providers seek to collaborate and derive benefit from the resultant economic efficiencies, sustainable operations, and network resilience. This study investigates the potential for collaborative planning enabled through a Physical Internet-enabled logistics system in an urban area that acts as a freight transport hub with several e-commerce warehouses. Our collaborative freight transportation planning approach is realized through a three-layer structured hybrid model that includes agent-based simulation, auction mechanism, and optimization. A multi-agent model simulates a complex transportation network, an auction mechanism facilitates allocating transport services to freight requests, and a simulation–optimization technique is used to analyze strategic transportation planning under different objectives. Furthermore, sensitivity analyses and Pareto efficiency experiments are conducted to draw insights regarding the effect of parameter settings and multi-objectives. The computational results demonstrate the efficacy of our developed model and solution approach, tested on a real urban freight transportation network in a major US city.

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Section: Hybrid Modeling Frameworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Hybrid modeling of collaborative freight transportation planning using agent-based simulation, auction-based mechanisms, and optimization

et al. 2022

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“…This increases the complexity of analysis and the range of possible futures to explore. The integrated tools identified above are useful for finding knowledge patterns that can be used to better focus assessment communication and discussion (Mattor et al 2014;Tolk et al 2021).…”

Section: Discussionmentioning

confidence: 99%

Impacts and Opportunities at the Climate–Land Use–Energy–Water Interface: An Urgent Call for Dialogue

Jacobs

Holway

Hanak

et al. 2022

J American Water Resour Assoc

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This commentary calls for dialogue to explore a 'virtuous' intersection of climate-land-energy and water systems to manage risk and build healthy, sustainable, and resilient communities.ABSTRACT: Historically, managers of land, energy, and water systems have not recognized the importance of the collective interconnections of these systems. It is simpler to think about these intersections as two-dimensional rather than multi-dimensional puzzles. However, in the context of climate change, the multiple intersections between systems need to be examined. Failure to consider those connections can result in underappreciated risks, missed opportunities, and costly mistakes. Additionally, issues have different implications over time and spatial scales, and when considered in local contexts, are more nuanced and complex. Recent events also emphasize the critical need to consider social and environmental justice and to engage a range of interests in decisionmaking processes. As policy makers, resource managers, and researchers, we must ask ourselves the tough questions that will lead to innovation and creative solutions. Questions about the potential unintended consequences and the political, social, economic, natural and/or ecological, hydrological, and technical feasibility of actually implementing solutions have largely gone unanswered. We call on our colleagues to work together on these challenges; to develop and use integrated tools like scenario planning and anticipatory decision frameworks; and collaborate on creating a "virtuous intersection." Join us in analyzing and implementing policy at the climate-land-energy-water interface.

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“…A connected system may need its network modeled as well as its environment since a CPS always interacts with the outside world. Twenty-six (17%) MPM papers reported modeling all four main components of CPS [25,28,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56]. Most frequently (29 (18%)), the papers modeled the hardware, software, and network of the system (see Fig.…”

Section: Reported Modeled Components In Mpm4cpsmentioning

confidence: 99%

Multi-paradigm modeling for cyber–physical systems: A systematic mapping review

Barisic

Ruchkin

Savić³

et al. 2022

Journal of Systems and Software

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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Hybrid models as transdisciplinary research enablers

Cited by 53 publications

References 120 publications

Hybrid modeling of collaborative freight transportation planning using agent-based simulation, auction-based mechanisms, and optimization

Hybrid modeling of collaborative freight transportation planning using agent-based simulation, auction-based mechanisms, and optimization

Impacts and Opportunities at the Climate–Land Use–Energy–Water Interface: An Urgent Call for Dialogue

Multi-paradigm modeling for cyber–physical systems: A systematic mapping review

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