Ontology-based Supply Chain configuration Zdravkovi ć, M., Trajanović, M. ICPE 2011
Concepts Concepts are related to other concepts Concepts are combined into propositions Propositions are clustered into mental models …  when concepts are specified, what we get is… Ontology
Concepts ∃ s (student(s)), ∃p (person(p)), ∃c (computer(c)),... Propositions (statements) ∀ s ( student(s)) => person(s) ∃ s ∃f (student(s) ∧  facebook(f)  ∧  knowsHowToUse(s,f) ) ∃ s ∃i (student(s) ∧  internet(i)  ∧  knowsHowToUse(s,i) ) ∃ s ∃c (student(s) ∧  computer(c)  ∧  knowsHowToUse(s,c) ) Mental models (rules) ∀ s ( student(s)  ∧  facebook(f)  ∧  knowsHowToUse(s,f))  ⇒   ∃i  (internet(i)  ∧  knowsHowToUse(s,i)) ∀ s ( student(s)  ∧  internet(i)  ∧  knowsHowToUse(s,i))  ⇒   ∃c  (computer(c)  ∧  knowsHowToUse(s,c))
Incompatibility of business objectives Increasing complexity and heterogeneity of systems Isolated business functions Supply Chain Challenges Interoperability Common practices System-wise decision making
SCOR  (Supply Chain Operations Reference) Standard approach for analysis, design and implementation of changes required for the improvement of five core, integrated processes in supply chains: plan, source, make, deliver and return
Knowledge sources and types SCOR- MAP SCOR-FULL OWL SCOR-SYS OWL SCOR-KOS OWL SCOR Native formats, Exchange formats Domain Ontologies Implicit semantics Explicit semantics Semantic enrichment Formal models of design goals Semantic applications Enterprise Information Systems SCOR-based systems EIS database LOCAL ONTOLOGY EIS database LOCAL ONTOLOGY EIS database LOCAL ONTOLOGY SCOR-CFG OWL
1. Product information acquisition (principal product topology and manufacturing strategies for each of the components) 2. Production information assertion (to SCOR-CFG OWL model) 3. Generation of SCOR thread diagram
Thank you for your attention [email_address]

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Ontology-based Supply Chain process configuration

  • 1. Ontology-based Supply Chain configuration Zdravkovi ć, M., Trajanović, M. ICPE 2011
  • 2. Concepts Concepts are related to other concepts Concepts are combined into propositions Propositions are clustered into mental models … when concepts are specified, what we get is… Ontology
  • 3. Concepts ∃ s (student(s)), ∃p (person(p)), ∃c (computer(c)),... Propositions (statements) ∀ s ( student(s)) => person(s) ∃ s ∃f (student(s) ∧ facebook(f) ∧ knowsHowToUse(s,f) ) ∃ s ∃i (student(s) ∧ internet(i) ∧ knowsHowToUse(s,i) ) ∃ s ∃c (student(s) ∧ computer(c) ∧ knowsHowToUse(s,c) ) Mental models (rules) ∀ s ( student(s) ∧ facebook(f) ∧ knowsHowToUse(s,f)) ⇒ ∃i (internet(i) ∧ knowsHowToUse(s,i)) ∀ s ( student(s) ∧ internet(i) ∧ knowsHowToUse(s,i)) ⇒ ∃c (computer(c) ∧ knowsHowToUse(s,c))
  • 4. Incompatibility of business objectives Increasing complexity and heterogeneity of systems Isolated business functions Supply Chain Challenges Interoperability Common practices System-wise decision making
  • 5. SCOR (Supply Chain Operations Reference) Standard approach for analysis, design and implementation of changes required for the improvement of five core, integrated processes in supply chains: plan, source, make, deliver and return
  • 6. Knowledge sources and types SCOR- MAP SCOR-FULL OWL SCOR-SYS OWL SCOR-KOS OWL SCOR Native formats, Exchange formats Domain Ontologies Implicit semantics Explicit semantics Semantic enrichment Formal models of design goals Semantic applications Enterprise Information Systems SCOR-based systems EIS database LOCAL ONTOLOGY EIS database LOCAL ONTOLOGY EIS database LOCAL ONTOLOGY SCOR-CFG OWL
  • 7. 1. Product information acquisition (principal product topology and manufacturing strategies for each of the components) 2. Production information assertion (to SCOR-CFG OWL model) 3. Generation of SCOR thread diagram
  • 8. Thank you for your attention [email_address]