An entity-relationship approach to decision support and expert systems
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Cited by (9)
Terrain visualization information integration in agent-based military industrial logistics simulation
2022, Journal of Industrial Information IntegrationCitation Excerpt :The Entity-Relationship (ER) approach, introduced by Chen [63] in his milestone paper, plays a fundamental role in conceptual modeling for database design and system analysis, especially due to its flexibility and comprehensibility by practitioners and even non-specialists [64]. The ER model and its accompanying ER diagrams are the tools mostly used for database design and system analysis purposes [65,66]. Given that the ER diagrams can provide developers with an overall grasp of the data requirements, modelling, and database structures of an information system before the implementation phase [67], we use them as a conceptual modeling method for the data design in the terrain relation database in this study.
Knowledge-oriented modeling for influencing factors of battle damage in military industrial logistics: An integrated method
2020, Defence TechnologyCitation Excerpt :As another useful object-oriented method, the Entity-Relationship (ER) approach plays a fundamental role in conceptual modeling [41,42]. For system analysis purposes, the ER model and its accompanying ER diagrams are the tools used mostly [43–45]. Since an ER diagram is a visual representation of different entities within a system and how they relate to each other, this method can be applied to modeling and analysis of complex process system similar to battle damage factors.
A reference data model to support biomass supply chain modelling and optimisation
2016, Environmental Modelling and SoftwareCitation Excerpt :The design of the reference data model is based on conceptual framework to address design science, proposed by Wieringa (Wieringa and Heerkens, 2006; Wieringa, 2009): (1) problem investigation, (2) solution design, (3) design validation, (4) choice of a solution, (5) implementation of the chosen solution and (6) evaluation of the implementation (Wieringa and Heerkens, 2006; Wieringa, 2009). The problem investigation (step 1) entails the definition of a generic high level process model based on a generic cradle-to-gate life cycle inventory (LCI) (Chen, 1988; Storey, 1991) to obtain an in-depth insight in the possible product and operation types and their relationships in biomass-based supply chains. An LCI is the stage in a life cycle assessment (LCA) in which the processes and elementary flows of the life cycle are identified (and quantified in case of a specific case) (European Commission, 2010b).
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This research was funded by the College of Business Administration at Louisiana State University. The author also thanks one of the referees for his/her valuable comments.