Milan Zdravkovic, Miroslav Trajanovic, Ontological Framework for performance measurement of supply chain operations
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6th International Working Conference - Total Quality management Advanced & Intelligent Approaches, IWC TQM 2011, Belgrade, Serbia
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Milan Zdravkovic, Miroslav Trajanovic, Ontological Framework for performance measurement of supply chain operations
- 1. Ontological Framework for performance measurement of supply chain operations Milan Zdravković, Miroslav Trajanović Laboratory for Intelligent Production Systems (LIPS), University of Niš, Faculty of Mechanical Engineering in Niš, ul. Aleksandra Medvedeva 14, Niš, Serbia; milan.zdravkovic@masfak.ni.ac.rs, traja@masfak.ni.ac.rs
- 7. Formal framework for supply chain operations 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 SCOR-CFG OWL SCOR-GOAL OWL PRODUCT OWL EIS database LOCAL ONTOLOGY EIS database LOCAL ONTOLOGY EIS database LOCAL ONTOLOGY
- 12. agent goal goal-set and-goal-set or-goal-set ordered-goal-set cooperative-goal hasGoal hasSubgoal memberOf memberOf contributeTo decomposedTo decomposedTo
- 14. Where is data about specific goals ? SCOR-OWL – Implicit data SCOR-FULL – Explicit data SWRL Mapping Rules
- 18. Ontological Framework for performance measurement of supply chain operations Milan Zdravković, Miroslav Trajanović Laboratory for Intelligent Production Systems (LIPS), University of Niš, Faculty of Mechanical Engineering in Niš, ul. Aleksandra Medvedeva 14, Niš, Serbia; milan.zdravkovic@masfak.ni.ac.rs, traja@masfak.ni.ac.rs Thank you for your attention
Notas del editor
- Konvencionalno je modeliranje aktivnosti, njihovih ulaza, izlaza, itd. Ono nije fleksibilno jer se veoma cesto ne zna kako ce se proces odvijati, a to nije moguce ni predvideti. Ima radova koji predlazu da se modeliraju ODNOSI izmedju aktera procesa. Na osnovu tih modela, zna se kakve se transakcije mogu vrsiti, ko ima kakve potrebe, a ko sta moze da ponudi. U ovakvom modelu, procesi su samokonfigurisuci. Treci oblik je modeliranje ciljeva – ne modeliraju se aktivnosti, niti aktori, niti informacije, vec samo ono sto se zeli postici – nekakvo stanje sistema. U ovakvom modelu, procesi su takodje samokonfigurisuci jer definicije ciljeva prate i pravila za njihovo ostvarenje, koja ukljucuju stanja resursa preduzeca. Obicno, kada se govori o ciljevima, misli se na tehnologiju inteligentnih agenata -> vidi sledeci slajd.
- Ima mnogo radova na ovu temu, ali se ni u jednom ne pominju modeli ciljeva – ako se agenti zasnivaju na ostvarenju ciljeva, moraju da postoje njihovi modeli.
- Ima u radu sta ovo znaci.
- Proizvoljna definicija ciljeva, tesko ih je opisati nekom logikom na jednoznacan nacin 3. Primer: sa stanovista lanca snabdevanja tezi sa ka tome da zajednicke zalihe budu sto manje, jer su ukupni troskovi manji. Nasuprot tome, pojedinacna firma tezi ka tome da njihovih proizvoda u zajednickim zalihama bude sto vise, jer se tako smanjuju pojedinacni troskovi skladistenja.
- SCOR-MAP is a central ontology. It imports (blue arrows) domain ontologies, implicit SCOR model represented in OWL (SCOR-KOS OWL), SCOR’s semantic enrichment (SCOR-FULL OWL) and all local ontologies. SCOR-MAP stores the SWRL rules which are used to represent correspondences between all these models. Ovo je fino opisano u radu za YUINFO.
- Isprekidane linije oznacavaju is-a relaciju. Npr. or-goal-set je podskup skupa goal-set, cooperative-goal je podskup skupa goal.
- Ovo je prethodno bila genericka ontologija, ona samo postavlja meta-model ciljeva i drugih relevantnih termina. Sada treba da vidimo gde su zaista definicije ciljeva. Implicitno (prirodnim jezikom) su ciljevi definisani u SCOR referentnom modelu, kao tzv. soft ciljevi (metrics) i atributi performansi (PerformanceAttribute). Svi implicitni termini iz SCOR modela, pa i ciljevi su definisani eksplicitno, kao opsti koncepti iz SCOR-FULL ontologije (ovo na slici su samo najopstiji koncepti, ontologija ima vise stotina koncepata i relacija). Pritom, uz pomoc SWRL pravila, implicitni koncepti iz SCOR-OWL su povezani sa odgovarajucim eksplicitnim konceptima iz SCOR-FULL.