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Milan Zdravkovic, Miroslav Trajanovic, Ontological Framework for performance measurement of supply chain operations
Milan Zdravkovic, Miroslav Trajanovic, Ontological Framework for performance measurement of supply chain operations
Milan Zdravkovic, Miroslav Trajanovic, Ontological Framework for performance measurement of supply chain operations
Milan Zdravkovic, Miroslav Trajanovic, Ontological Framework for performance measurement of supply chain operations
Milan Zdravkovic, Miroslav Trajanovic, Ontological Framework for performance measurement of supply chain operations
Milan Zdravkovic, Miroslav Trajanovic, Ontological Framework for performance measurement of supply chain operations
Milan Zdravkovic, Miroslav Trajanovic, Ontological Framework for performance measurement of supply chain operations
Milan Zdravkovic, Miroslav Trajanovic, Ontological Framework for performance measurement of supply chain operations
Milan Zdravkovic, Miroslav Trajanovic, Ontological Framework for performance measurement of supply chain operations
Milan Zdravkovic, Miroslav Trajanovic, Ontological Framework for performance measurement of supply chain operations
Milan Zdravkovic, Miroslav Trajanovic, Ontological Framework for performance measurement of supply chain operations
Milan Zdravkovic, Miroslav Trajanovic, Ontological Framework for performance measurement of supply chain operations
Milan Zdravkovic, Miroslav Trajanovic, Ontological Framework for performance measurement of supply chain operations
Milan Zdravkovic, Miroslav Trajanovic, Ontological Framework for performance measurement of supply chain operations
Milan Zdravkovic, Miroslav Trajanovic, Ontological Framework for performance measurement of supply chain operations
Milan Zdravkovic, Miroslav Trajanovic, Ontological Framework for performance measurement of supply chain operations
Milan Zdravkovic, Miroslav Trajanovic, Ontological Framework for performance measurement of supply chain operations
Milan Zdravkovic, Miroslav Trajanovic, Ontological Framework for performance measurement of supply chain operations
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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

6th International Working Conference - Total Quality management Advanced & Intelligent Approaches, IWC TQM 2011, Belgrade, Serbia

Published in: Technology, Business
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  • 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.
  • Transcript

    • 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
    • 2.
      • How to model supply chain processes ?
        • Conventional process modelling
        • Interaction modelling
        • Cooperative goals modelling
    • 3. Intelligent agent
      • an autonomous entity which observes and acts upon an environment and directs its activity towards achieving goals
      • No work reported on the goal models
    • 4. Traditional goal analysis
      • A Goal may have “satisfied” or “denied” state
      • A goal may be AND-decomposed to the sub-goals
      • A goal may be OR-decomposed to the sub-goals
    • 5. Problems of traditional goal analysis
      • In arbitrary situations the goals are stated vaguely
      • No partial fulfilment is possible to infer
      • The goals may have contradicting states (meaning of states) in different contexts
        • Contradicting cooperative and individual goals
    • 6. Our approach to goal modeling
      • Analysis of selected (relevant) approaches and models
      • Development of a formal goal ontology, mapped to existing models
      • Alignment of the formal goal ontology with a framework for formalization of the Supply Chain Operations, based on SCOR (Supply Chain Operations Reference)
    • 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
    • 8. Some goal definitions
      • a goal defines a set of desired behaviours, where behaviour is a temporal sequence of states (Lamsweerde and Letier)
      • DOLCE Upper Ontology
        • a notion of goal relies upon desirability of some agent to take action to obtain it.
        • Thus, the minimal constraint for a goal is that it is a proper part of a plan
        • Dependent of the cognitive state of a particular physical agent
          • In contrast to a notion of objective - the purpose of an agent, physical or social
      • the state of affairs that a plan is intended to achieve and that (when achieved) terminates behaviour intended to achieve it (WordNet)
    • 9. Enterprise goals
      • TOVE Ontology
        • Organizational goals are decomposed to the roles played by the agents
        • where every goal of a role is a sub-goal of some organizational goal (axiom) and
        • every goal of a subdivision is also a goal of its division (axiom).
        • Achievement of the goal at specific time depends on the achievement of its sub-goals – AND or OR-decomposed
      • The Enterprise Ontology
        • A goal is a kind of purpose
        • Purpose is represented by the notion of State of Affairs (hold or not hold) – description of a situation where one or more entities are participating in one or more relationships with one or more entities
      • Extended Enterprise Modeling Language (EEML)
        • A goal expresses the wanted (or unwanted) state of affairs (either current or future) in a certain context.
        • the goals can be
          • AND- or OR-decomposed into sub-goals;
          • applied to (relevant for) tasks, meetings, roles and resources;
          • used for description of precondition or post-condition of a task;
          • used for description of a decision or an action rule.
    • 10. Goals in System Requirements Engineering
      • System requirements engineering (SRE) is the process of expression and refinement of goals
      • Goal analysis in SRE
        • Identification, decomposition
        • Dependency analysis
          • Precedence, obligation, thwarting
        • Obstacles and corresponding mitigation actions identification
        • Elaboration
          • Defensive and mitigation goals identification
        • Operationalization
          • Goals are mapped to the state changing actions that accomplish it
    • 11. Generic goal ontology
      • simplistic approach, with objective to provide only the aggregates and basic rules for classification of the notions,
        • semantically described in related ontologies (SCOR-FULL),
        • to achieve (and use) the competence to the extent of other models (TOVE, Enterprise Ontology, EEML, SRE)
    • 12. agent goal goal-set and-goal-set or-goal-set ordered-goal-set cooperative-goal hasGoal hasSubgoal memberOf memberOf contributeTo decomposedTo decomposedTo
    • 13.
      • hasState(?x, literal), isGoalOf(?x, ?a), agent(?a) -> goal(?x)
        • Goal is anything that has some state (is described by the state-of-the-affairs) and is goal of some agent.
      • cooperative-goal≡goal∩  isGoalOf.(≥ 2 agent)
        • Goal is cooperative only if it is a goal of minimum 2 agents
      • precedes hasRange(Domain) goal∩  memberOf.(and-goal-set)
        • “ precedes” relation can be set only between goals which are part of and-goal-set
      • ordered-goal-set≡and-goal-set∩∀(hasMember.(  precedes.goal) ⋃ hasMember.(  succeeds.goal))
        • Ordered goal set is and-goal-set whose all members are in precedes or succeeds relationships with other goals of the same set
    • 14. Where is data about specific goals ? SCOR-OWL – Implicit data SCOR-FULL – Explicit data SWRL Mapping Rules
    • 15. Soft-goal (metrics) types (groups) in SCOR
      • value, amount (quantity), costs of assets, functional costs (maintenance), functional assets, utilization, inventory cycles (attributed to assets),
      • functional costs (acquisition, handling, accounting, packaging, disposal, distribution, forecasting, order management, planning, plant operating, etc.), costs of assets, costs of configured resources (e.g., obsolete inventory, inaccurate production rule details, etc.), costs of non-compliance or non-conformance, accuracy (cost),
      • time/duration, velocity (responsiveness),
      • cycle times, frequency, functional (source, delivery, etc.) times, accuracy, functional flexibility (flexibility)
      • accuracy of assets, functional (replenishment) accuracy, conformance/compliance (reliability)
    • 16. System for performance measurement of supply chains
      • Based on semantic application for SC process configuration
        • exploits the SCOR-CFG application ontology
        • generation of a SCOR thread diagram
        • Application infers the configuration of source, make and deliver processes, on basis of asserted product topology, participants and production strategies for each component
    • 17.
      • Part of the process definitions are also performance metrics, namely – goal definitions, whose target states are set from the metrics module of the semantic application for SC configuration.
      • Verification of the goals achievement, namely reaching the performance targets for each of the metrics is initiated by the web service invocation, embedded in the process definitions.
      • Web service listener receives the requests for verification of the performance goal achievement and processes those.
      • Semantic application (namely, goal verification web service) rates the overall performance attributes of the SC: reliability, responsiveness, costs, assets and flexibility
    • 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

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