Home > Research > Publications & Outputs > Conceptual modelling: framework, principles, an...

Electronic data

View graph of relations

Conceptual modelling: framework, principles, and future research

Research output: Working paper

Published

Standard

Conceptual modelling: framework, principles, and future research. / Brooks, R J.

Lancaster University : The Department of Management Science, 2007. (Management Science Working Paper Series).

Research output: Working paper

Harvard

Brooks, RJ 2007 'Conceptual modelling: framework, principles, and future research' Management Science Working Paper Series, The Department of Management Science, Lancaster University.

APA

Brooks, R. J. (2007). Conceptual modelling: framework, principles, and future research. (Management Science Working Paper Series). The Department of Management Science.

Vancouver

Brooks RJ. Conceptual modelling: framework, principles, and future research. Lancaster University: The Department of Management Science. 2007. (Management Science Working Paper Series).

Author

Brooks, R J. / Conceptual modelling: framework, principles, and future research. Lancaster University : The Department of Management Science, 2007. (Management Science Working Paper Series).

Bibtex

@techreport{85264e8819ff43e38790559abb6bbdbf,
title = "Conceptual modelling: framework, principles, and future research",
abstract = "The conceptual modelling task in a simulation project is very important and yet is still generally regarded as more of an art than a science. The meaning and nature of conceptual modelling are discussed and a framework set out. The overall aim should be to choose the best model for the project and conceptual modelling can be viewed as a difficult optimisation problem that can be tackled effectively using a creative search process that develops alternative models and predicts their performance throughout the project. An experiment relating model characteristics to some aspects of performance is described and this type of experiment may inform the process of predicting model performance. Based on advice from the literature and my own previous work on conceptual modelling 17 principles of conceptual modelling are suggested. Conceptual modelling research is still at an early stage and ideas for future research are proposed.",
keywords = "Conceptual Model, Project Outcome, Complexity, Simplification",
author = "Brooks, {R J}",
year = "2007",
language = "English",
series = "Management Science Working Paper Series",
publisher = "The Department of Management Science",
type = "WorkingPaper",
institution = "The Department of Management Science",

}

RIS

TY - UNPB

T1 - Conceptual modelling: framework, principles, and future research

AU - Brooks, R J

PY - 2007

Y1 - 2007

N2 - The conceptual modelling task in a simulation project is very important and yet is still generally regarded as more of an art than a science. The meaning and nature of conceptual modelling are discussed and a framework set out. The overall aim should be to choose the best model for the project and conceptual modelling can be viewed as a difficult optimisation problem that can be tackled effectively using a creative search process that develops alternative models and predicts their performance throughout the project. An experiment relating model characteristics to some aspects of performance is described and this type of experiment may inform the process of predicting model performance. Based on advice from the literature and my own previous work on conceptual modelling 17 principles of conceptual modelling are suggested. Conceptual modelling research is still at an early stage and ideas for future research are proposed.

AB - The conceptual modelling task in a simulation project is very important and yet is still generally regarded as more of an art than a science. The meaning and nature of conceptual modelling are discussed and a framework set out. The overall aim should be to choose the best model for the project and conceptual modelling can be viewed as a difficult optimisation problem that can be tackled effectively using a creative search process that develops alternative models and predicts their performance throughout the project. An experiment relating model characteristics to some aspects of performance is described and this type of experiment may inform the process of predicting model performance. Based on advice from the literature and my own previous work on conceptual modelling 17 principles of conceptual modelling are suggested. Conceptual modelling research is still at an early stage and ideas for future research are proposed.

KW - Conceptual Model

KW - Project Outcome

KW - Complexity

KW - Simplification

M3 - Working paper

T3 - Management Science Working Paper Series

BT - Conceptual modelling: framework, principles, and future research

PB - The Department of Management Science

CY - Lancaster University

ER -