Modelling Decision Support Systems using Conceptual Constraints - Linking Process Systems Engineering and Decision Making Models

Canan Dombayci, Antonio Espuña

Abstract

This paper presents the use of a Conceptual Constraint (CC) Domain to systematize the construction of Decision Making Models (DMMs). The modelling systematics include the integration between the CC Domain and production systems as well as an identification procedure which contains some steps aimed at constraint identification using the CC Domain. The CC Domain consists of different modelling elements such as Conceptual Constraints (generic constraint types), Conceptual Components (pieces of a constraint), and Conceptual Component Elements (pieces of a conceptual component that may be connected to production systems). In this instance, the CC Domain is integrated with the Process Systems Engineering (PSE) Domain as a production system domain. The PSE Domain contains information from the multi-level functional hierarchical in an enterprise and it will be used to cover a wide range of scenarios related to hierarchical integration of DMMs. In addition, an integration step between the CC and PSE Domains is illustrated. The focus of the work is to show how these models should be developed in order to be properly integrated, and how they are used by different functionalities with an identification procedure.

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Paper Citation


in Harvard Style

Dombayci C. and Espuña A. (2017). Modelling Decision Support Systems using Conceptual Constraints - Linking Process Systems Engineering and Decision Making Models.In Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, ISBN 978-989-758-272-1, pages 147-154. DOI: 10.5220/0006485201470154


in Bibtex Style

@conference{keod17,
author={Canan Dombayci and Antonio Espuña},
title={Modelling Decision Support Systems using Conceptual Constraints - Linking Process Systems Engineering and Decision Making Models},
booktitle={Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD,},
year={2017},
pages={147-154},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006485201470154},
isbn={978-989-758-272-1},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD,
TI - Modelling Decision Support Systems using Conceptual Constraints - Linking Process Systems Engineering and Decision Making Models
SN - 978-989-758-272-1
AU - Dombayci C.
AU - Espuña A.
PY - 2017
SP - 147
EP - 154
DO - 10.5220/0006485201470154