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Ontological Supply Chain Management: Concepts, Applications, Extensions

H. Kemal İlter
December 12, 2013

Ontological Supply Chain Management: Concepts, Applications, Extensions

SCOM: Multi-Layer Ontological Model for Supply Chain Systems© aims to create a model for tracking and tracing products, agents, flows and operations of a supply chain with an upper ontology.
It will hopefully let us to track or trace most properties in not-usual supply chains such as interstellar supply chains (eg. raw materials from the planet Mars), health-related supply chains (eg. blood products), food management (eg. genetic structures of agricultural products), environmental issues of production systems (eg. nuclear power usage in a production process) and protection of art and artistic materials (eg. tracing an artifact).

DOI: http://dx.doi.org/10.6084/m9.figshare.1198642

More information: http://hkilter.com/index.php?title=BIPOLAR

H. Kemal İlter

December 12, 2013
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  1. ONTOLOGICAL SUPPLY CHAIN MANAGEMENT
    Concepts, Applications, Extensions
    H. Kemal İlter, BEng, MBA, PhD
    @hkilter
    December 2013
    https://speakerdeck.com/kilter/scom

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  2. CONTENTS
    Introduction
    Problem
    SCOM (Ontological Supply Chain Management)
    Concepts
    Ontological Foundations and SC(M) Ontology
    Expectations for Project Output
    Applications
    Supply Chain Markup Language (SCML)
    Visualization of the Supply Chain (ViSC)
    Overall Optimization of SCs (OOSC)
    A Managerial Tool: Supply Chain Dashboard (SCD)
    Extensions
    Interstellar supply chains
    Planetary operations management
    Supply chains’ fitness landscape
    * High-end product tracking/tracing systems: A new kind of material
    * Fifth state of the matter: Informational state
    * KEZON: First man-made composite particle
    Discussion Questions
    Project
    Patent
    Future*

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  3. 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)

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  4. INTRODUCTION
    An Example: Pencil Ontology

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  5. INTRODUCTION
    Problems
    Ontological
    models
    Definitions
    and
    information sharing
    Planning and
    driving complex
    systems
    Unreal
    modeling

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  6. INTRODUCTION
    SCOM (Ontological Supply Chain Management)
    402 2013 This project
    230 2011 A Methodology for the Exploration of Supply Chain Architecture
    212 2010 Approaches Using to Measure Supply Chain Performance and Successful Performance
    Measurement
    181 2009 Supply Chain Structure of the Corrugated Board Industry in Turkey
    119 2008 A Conceptual Model of Supply Chain Management
    102 2007 Supply Chain Management Ontology: Towards an Ontology-Based SCM Model
    33 2006 Draft

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  7. INTRODUCTION
    SCOM (Ontological Supply Chain Management)
    Ontological
    framework
    Concept
    map
    Dictionary
    Vocabulary
    Objects
    Object
    properties
    Parametric
    functions
    Formal
    model
    Numeric
    model
    Visual
    model

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  8. INTRODUCTION
    SCOM (Ontological Supply Chain Management)

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  9. CONCEPTS
    Ontological Foundations and SC(M) Ontology
    Product (Output): Goods, Service, Waste, etc.
    Member: Producer, Supplier, Customer,
    Transporter, Distributor, etc.

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  10. CONCEPTS
    Ontological Foundations and SC(M) Ontology
    Flow: Material, Money, Information, etc.
    Operation: Planning, Sourcing, Production,
    Transportation, Return, etc.

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  11. CONCEPTS
    Expectations for Project Output

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  12. CONCEPTS
    Expectations for Project Output

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  13. CONCEPTS
    Expectations for Project Output

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  14. CONCEPTS
    Expectations for Project Output

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  15. CONCEPTS
    Expectations for Project Output

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  16. CONCEPTS
    Expectations for Project Output

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  17. CONCEPTS
    Expectations for Project Output
    Ontological
    models
    Definitions
    and
    information sharing
    Planning and
    driving complex
    systems
    Unreal
    modeling

    View Slide

  18. APPLICATIONS
    Product Tracking/Tracing

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  19. APPLICATIONS
    Supply Chain Markup Language (SCML)

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  20. APPLICATIONS
    Supply Chain Markup Language (SCML)

    View Slide

  21. APPLICATIONS
    Supply Chain Markup Language (SCML)

    View Slide

  22. APPLICATIONS
    Visualization of the Supply Chain (ViSC)

    View Slide

  23. APPLICATIONS
    Overall Optimization of SCs (OOSC)

    View Slide

  24. APPLICATIONS
    A Managerial Tool: Supply Chain Dashboard (SCD)

    View Slide

  25. EXTENSIONS
    Interstellar supply chains
    Planetary operations management
    Supply chains’ fitness landscape
    * High-end product tracking/tracing systems: A new kind of material
    * Fifth state of the matter: Informational state
    * KEZON: First man-made composite particle

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  26. QUESTIONS

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  27. ONTOLOGICAL SUPPLY CHAIN MANAGEMENT
    Concepts, Applications, Extensions
    H. Kemal İlter, BEng, MBA, PhD
    @hkilter
    December 2013
    THANKS https://speakerdeck.com/kilter/scom

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