INTRODUCTION Ontology In computer science and information science, an ontology formally represents knowledge as a set of concepts within a domain, using a shared vocabulary to denote the types, properties and interrelationships of those concepts. The creation of domain ontologies is also fundamental to the definition and use of an enterprise architecture framework. Ref: http://en.wikipedia.org/wiki/Ontology_(information_science)
INTRODUCTION Problems Ontological models Definitions and information sharing Planning and driving complex systems Unreal modeling This presentation is centering upon a supply chain ontology model, which is at the intersection of various problems.
INTRODUCTION Supply Chain Ontologies Foundational aspects of a supply chain are widely discussed by supply chain researchers. In addition to these, relatively new issues are also studied. Such new issues include sustainability, member relations, value optimization, scaling, and macro/micro dimensioning of SCs. Significant ontological works and their focus areas
CASE STUDY Paper The notepad, in this case study, has various parts to be combined to make the final product: a paperboard as cover, paper sheets in a certain dimension, ink for drawing lines and printing the cover title, and a binder (which contains metal and plastic types) for combining all in one piece.
CASE STUDY Layers SCOM architecture will appear after combining these four layers in an unified layer. Therefore, properties of layers and sub-layers can be seen in a unique SC network. Ontological applications of the layers can be combined as well.
CASE STUDY Layers expanded Product (Output): Goods, Service, Waste, etc. Agent: Producer, Supplier, Customer, Transporter, Distributor, etc. Flow: Material, Money, Information, etc. Operation: Planning, Sourcing, Production, Transportation, Return, etc.
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