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Supply Chains Modelling and Simulation Framework:Graph-Driven Approach Using Ontology-Based Semantic Networks and Graph Database
- 1. SIMULTECH 2014 Supply Chains Modelling and Simulation Framework: Graph-Driven Approach Using Ontology-Based Semantic Networks and Graph Database Mahmoud Elbattah, Owen Molloy National University of Ireland Galway m.elbattah1@nuigalway.ie
- 2. SIMULTECH 2014 Outline • Supply Chains Background • Research Problem • The Proposed Framework & Methodology • Expected Outcomes 2
- 3. SIMULTECH 2014 Supply Chains Background 3
- 4. SIMULTECH 2014 What is a Supply Chain? 4 Supplier Manufacturer Distribution Centre Retailer Customer ProductFlow Information Flow Supplier Supplier Manufacturer Manufacturer Distribution Centre Distribution Centre Retailer Retailer Customer Customer . . . . . . Supply Chains Background
- 6. SIMULTECH 2014 Outline of Challenges 6 Model Share-ability Simulation Tools Usability Model Scalability Conceptual Modelling •How should supply chain knowledge be represented? •How to build models that facilitatesharing of supply chain knowledge? •Buildingsimulationmodels require much time, effort and cost. •Rapidlygrowing supply chains imply scalabilityissues. Research Problem Challenges of Modelling& Simulationof Supply Chains
- 7. SIMULTECH 2014 Potential Gaps in Literature 7 Conceptual Modelling • The lack of a standard basis for modellingsupply chains. • The developed models might not help with scalability for large-scale supply chains. • The Lack of recognition that supply chains are neither completely discrete nor continuous,but a mixture of both. Supply Chains Ontology • Apart from (Fayez, Rabelo, 2005), the ontologymainly addressed the strategic level of supply chains. • The shortage of industry-specific ontologies. Simulation Tools • Simulationtoolswere mostly convenientfor simulationexperts. • Automatic generation (model-drivenarchitecture) of simulationmodels has been little addressed. Research Problem
- 8. SIMULTECH 2014 The Proposed Framework 8
- 9. SIMULTECH 2014 Outline of Objectives 9 Conceptual Modelling • Providing a semantic-based modellingmethod for supply chains. • Investigatingthe flexibilityand scalabilityprovidedby graph database for buildingcomplexlarge-scale supply chain models. Supply Chains Ontology • Developing generic ontology that can describe the strategic, tactical and operational levelsof supply chains. • Developingspecific ontologyfor healthcaresupply chains. Simulation Models • Automatic generationof simulationmodelsbased on high-level conceptualmodels to help non-simulationexperts. The Proposed Framework
- 10. SIMULTECH 2014 The Proposed Framework Overview Simulation Software (AnyLogic) Simulation Model Auto-Generator Graph Database Semantic Networks Generic Ontology Domain Ontologies 10 Semantic Networks Generic Ontology Domain Ontologies Graph Database The Proposed Framework Conceptual Modelling
- 11. SIMULTECH 2014 Conceptual Modelling Approach 11
- 12. SIMULTECH 2014 Supply Chains as Big Graphs • A virtual complex network of suppliers, manufacturers, wholesaler, retailers and customers connected through upstream and downstream linkages. • Apparently, it can be conceivable to consider modelling supply chains as constructing “Big Graphs”. 12Conceptual Modelling Approach A typical supply chain example.
- 13. SIMULTECH 2014 Supply Chains as Semantic Networks 13 An example of a semantic network. Nodes The supply chain participants (entities) interconnected. Arcs Predicates that can represent properties or relationships. Conceptual Modelling Approach
- 14. SIMULTECH 2014 Supply Chains Ontology 1414 Domain Ontologies Generic Ontologies Extraction of Ontology •Based on the SCOR model. •Classifying discrete & continuous attributes •Industry-specific ontologyfor healthcare. Conceptual Modelling Approach
- 15. SIMULTECH 2014 Models and Ontologies Storage with Graph Database 15 Supply Chain Ontologies Supply Chain Models Graph Database •Flexible graph-based models. •Scalableschema-less models. •Typically faster for associative datasets. •Potential flexibility to align the ontology with RDF-based format. Conceptual Modelling Approach
- 16. SIMULTECH 2014 Building Simulation Models 16
- 17. SIMULTECH 2014 Automatic Generation of Simulation Models 17 Supply Chain Ontology Scenario Details Simulation Model Parameters Conceptual Model Simulation Model Automatic Generator
- 19. SIMULTECH 2014 Expected Outcomes • Higher flexibility and share-ability of supply chain models through semantic graph-driven models. • Extended potentials for storing large-scale supply chain models using graph database. • Extracting generic ontology for supply chains. • Developing specific ontology for healthcare supply chains. 19Expected Outcomes
- 20. SIMULTECH 2014 Expected Outcomes (cont’d) • Capability to build combined discrete-continuous models based on discrete-continuousclassification of ontology attributes. • Helping non-simulation experts by automatic generation of simulation models. 20Expected Outcomes
- 21. SIMULTECH 2014 Thank You! 21 Mahmoud Elbattah m.elbattah1@nuigalway.ie