In engineering, modelling always serves a particular goal. For example, the lightning protection of aircraft can be modelled as an electrical circuit, in order to predict whether the protection will still work in 30 years, given the ageing of its electrical components. More and more effort can be put in making this model predict reality perfectly. However, this perfection comes at a price: researchers invest time and money in improving the model. As a Return on investment (ROI), the ROME is a metric for the use of further modelling. It may therefore serve as a 'stopping criterion'.[2]
Typically, researchers will pull towards continuing modelling, while management will pull towards stopping modelling. Being explicit about the cost and benefits of continued modeling may help to make informed decisions that are understood by both sides.[citation needed] Continuous communication between model developers and model users increases the probability of models being actually put to profit.[3]
Domainsedit
ROME is a metric, which can be evaluated wherever modelling is performed with a quantifiable goal. Examples include:
Modeling the impact of federal policy on social problems.[3]
Modeling a marketing mix to statistically correlate a number of inputs (or independent variables) – such as a marketing campaign – to outcomes (or dependent variables) – such as sales or profits.[4]
Modeling the links between enterprise actors to make an informed choice on splitting organizations.[5][6]
Modeling the coupling of an electromagnetic interference to a PCB to reduce its susceptibility by improving the routing of traces.[7]
Researchedit
The initiative "Models at Work" studies the creation, management and use of domain models in scientific and industrial practice, aiming at a diversity of goals, varying from (as truthful as possible) representation of the conceptual structure of the domain that is modelled, via animation, simulation, execution and gamification, until automated (logic-based) reasoning.[8]
Referencesedit
^Op 't Land, M.; Proper, H. A.; Waage, M.; Cloo, J.; Steghuis, C. (2008). Chapter 4 of Enterprise Architecture - Creating Value by Informed Governance. Springer, Heidelberg, Germany. doi:10.1007/978-3-540-85232-2. ISBN978-3-540-85231-5.
^ abProper, Erik (2009). "Models that matter; Return on Modelling Effort". erikproper.blogspot.fr. Retrieved 2016-10-06.
^ abFromm, Gary (April 28–29, 1977). Gass, Saul I. (ed.). "Review of the non-DoD modeling effort". Utility and Use of Large-scale Mathematical Models: Proceedings of a Workshop. Gaithersburg, Maryland: Department of Commerce, National Bureau of Standards, 1979. 534 of NBS special publication: 15–21.
^Thomas, Jerry W. (2006). "Marketing Mix Modeling". Retrieved 2016-10-06.
^Op 't Land, Martin (2008). Instrument for fast and effective splitting of organizations. Delft University of Technology. ISBN978-90-71382-37-6.
^Op 't Land, Martin (2008). Applying Architecture and Ontology to the Splitting and Allying of Enterprises. Delft University of Technology. ISBN978-90-71382-32-1.
^Op 't Land, Sjoerd; Mandić, Tvrtko; et al. (September 2013). "Comparison of Field-To-Line Coupling Models: Coupled Transmission Lines Model versus Single-cell Corrected Taylor Model". Proceedings of the 2013 International Symposium on Electromagnetic Compatibility (EMC EUROPE 2013): 276–281.
^Proper, Erik. "Models at Work – Case reports from industry and science, on the creation and use of domain models". Retrieved 2022-02-22.
December 17, 2023
return, modeling, effort, return, modelling, effort, rome, benefit, resulting, from, supplementary, effort, create, improve, model, contents, purpose, domains, research, referencespurpose, editin, engineering, modelling, always, serves, particular, goal, examp. Return on modelling effort ROME is the benefit resulting from a supplementary effort to create and or improve a model 1 2 Contents 1 Purpose 2 Domains 3 Research 4 ReferencesPurpose editIn engineering modelling always serves a particular goal For example the lightning protection of aircraft can be modelled as an electrical circuit in order to predict whether the protection will still work in 30 years given the ageing of its electrical components More and more effort can be put in making this model predict reality perfectly However this perfection comes at a price researchers invest time and money in improving the model As a Return on investment ROI the ROME is a metric for the use of further modelling It may therefore serve as a stopping criterion 2 Typically researchers will pull towards continuing modelling while management will pull towards stopping modelling Being explicit about the cost and benefits of continued modeling may help to make informed decisions that are understood by both sides citation needed Continuous communication between model developers and model users increases the probability of models being actually put to profit 3 Domains editROME is a metric which can be evaluated wherever modelling is performed with a quantifiable goal Examples include Modeling the impact of federal policy on social problems 3 Modeling a marketing mix to statistically correlate a number of inputs or independent variables such as a marketing campaign to outcomes or dependent variables such as sales or profits 4 Modeling the links between enterprise actors to make an informed choice on splitting organizations 5 6 Modeling the coupling of an electromagnetic interference to a PCB to reduce its susceptibility by improving the routing of traces 7 Research editThe initiative Models at Work studies the creation management and use of domain models in scientific and industrial practice aiming at a diversity of goals varying from as truthful as possible representation of the conceptual structure of the domain that is modelled via animation simulation execution and gamification until automated logic based reasoning 8 References edit Op t Land M Proper H A Waage M Cloo J Steghuis C 2008 Chapter 4 of Enterprise Architecture Creating Value by Informed Governance Springer Heidelberg Germany doi 10 1007 978 3 540 85232 2 ISBN 978 3 540 85231 5 a b Proper Erik 2009 Models that matter Return on Modelling Effort erikproper blogspot fr Retrieved 2016 10 06 a b Fromm Gary April 28 29 1977 Gass Saul I ed Review of the non DoD modeling effort Utility and Use of Large scale Mathematical Models Proceedings of a Workshop Gaithersburg Maryland Department of Commerce National Bureau of Standards 1979 534 of NBS special publication 15 21 Thomas Jerry W 2006 Marketing Mix Modeling Retrieved 2016 10 06 Op t Land Martin 2008 Instrument for fast and effective splitting of organizations Delft University of Technology ISBN 978 90 71382 37 6 Op t Land Martin 2008 Applying Architecture and Ontology to the Splitting and Allying of Enterprises Delft University of Technology ISBN 978 90 71382 32 1 Op t Land Sjoerd Mandic Tvrtko et al September 2013 Comparison of Field To Line Coupling Models Coupled Transmission Lines Model versus Single cell Corrected Taylor Model Proceedings of the 2013 International Symposium on Electromagnetic Compatibility EMC EUROPE 2013 276 281 Proper Erik Models at Work Case reports from industry and science on the creation and use of domain models Retrieved 2022 02 22 Retrieved from https en wikipedia org w index php title Return on modeling effort amp oldid 1123382500, wikipedia, wiki, book, books, library,
