MAPSS, a Multi-Aspect Partner and Service Selection
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The document presents the MAPSS (Multi-Aspect Partner and Service Selection) method, which integrates social aspects, competence-based selection, and partner performance evaluation. It outlines the method's assumptions, social protocols, technical implementation, and selection process, emphasizing the human control over the requirements and the dynamic nature of the selection. Limitations include privacy issues and a static approach, with future work aimed at improving configurability and utilizing process mining techniques.
MAPSS, a Multi-Aspect Partner and Service Selection
- 1. 12th October 2010, Saint-Etienne, France MAPSS, a Multi-Aspect Partner and Service Selection Method Zbigniew Paszkiewicz Willy Picard zpasz@kti.ue.poznan.pl picard@kti.ue.poznan.pl Poznań University of Economics
- 2. Agenda • Method assumptions • Social protocols • Information model • Selection method • Technical implementation • Limitations • Conclusions • Future works © UEP 2
- 4. Current approaches • Missing an approach integrating – Competence-based approach – Performance evaluation – Social aspects • Separation of service search from the selection of partners • Not mature concepts of modeling social requirements © UEP 4
- 5. MAPSS method assumptions • Partner and service selection method supporting • Social aspects • Competence-based selection • Partner and network performance characteristic • Human control over the process The novelty of the proposed method lays in the • Multi-variant analysis of the concepts combination • Requirement-based approach © UEP 5
- 7. Social protocol • Process model encompassing Referring to VO elements, e.g. • Process structure - localization • Requirements - required set of competences » Roles - level of available resources A set of constraints on the - response time of a service » Social requirements relations among interacting - cost of the service actors (organizations and services), e.g. - past cooperation - recognition - use of service - recommendation © UEP 7
- 8. Abstract protocol Service customer Service provider Service Process activity (organization) (organization) Partners and services are referred together as VO elements Mapping function Social network schema © UEP 8
- 9. Mapping Mapping social network entities social network entities to to service description elements Social network schema entities 9
- 10. Multi-aspect partner and service selection (MAPSS)
- 12. Competence description module Service description module • Structured description of organization’s competences and services • Basis for definition of roles • Organization/service search based on submitted criteria • Evaluation of the conformance of an organization to a set of requirements In the current implementation a modified 4-C model (Ermilova, Afsarmanesh) is used © UEP 12
- 13. Social network module • Contents – Virtual organizations – Virtual organization partners – VOBE members – Individuals – Virtual Organization variants – Services • Basis for definition of social requirements © UEP 13
- 14. Indicator module Monitoring module Not only performance indicators • Definition of complex requirements involving various aspects in a single indicator, e.g. – competences and social relations • Monitoring of requirement values and notification of changes © UEP 14
- 15. Selection method
- 16. Method outline 1. Definition of VO specification 2. Selection of partners and services for roles 3. VO variant generation 4. Performance evaluation 5. VO inception In every phase, human action may lead to requirements redefinition, preference modification, repetition of a steps, and reconfiguration of used supporting tools © UEP 16
- 17. 1 Definition of VO specification • Set of requirements • VO planner’s preferences • VO planner’s fitness functions and acceptable requirement conformance levels © UEP 17
- 18. 1 Definition of VO specification • Requirement types – Roles Defined in abstract social – Social requirements protocol – Indicators i.e. performance requirements • Aspects – VO elements User defined – Process – Subsets of partners – Subsets of services © UEP 18
- 19. Selection of partners and 2 services for role • Set of services or organizations for each role • Sorting and filtering out elements • Requirements used – Roles – Indicators defined for roles © UEP 19
- 20. 3 Generation of VO variants • Genetic algorithm - VO Variant - determination of the best fitted possible VO variants composition of • Fitness function - estimation of partners and the level of satisfaction of social requirements services • Threshold value - used to filter out the VO variants • Requirements used – Social requirements © UEP 20
- 21. 4 Performance evaluation • Fitness performance function - taking into an account various performance aspects, including – Operational performance – Effectiveness – Responsiveness – Cost • Requirements used – Performance requirements © UEP 21
- 22. 5 VO inception • Choosing the “winning” VO variant • Registration as a VO in – competence description – social network © UEP 22
- 23. VO specification structure Aspects Roles Social req. Performance req. Partner Phase 2 - - Service Phase 2 - - Subset of partners - Phase 3 - Subset of services - Phase 3 Phase 4 Process - - Phase 4 Phase 2. Selection of partners and services for roles Phase 3. VO variant generation Phase 4. Performance evaluation © UEP 23
- 25. System implementation • ErGo system • To be used in constructing sector © UEP 25
- 26. Implementation environment • Programming platform – Java • Web application – Google web Toolkit • System modularity – OSGi • Genetic algorithm – Java Genetic Algorithm Package • Social network – Java Universal Network Graph Framework © UEP 26
- 27. 27
- 28. Limitations
- 29. Limitations • Instantiation of the whole social protocol before process launching • Single user approach • Privacy related issues are not addressed • Static method © UEP 29
- 30. Conclusions
- 31. Conclusions • Combination of social aspects, competence- based selection and performance characteristic • Already implemented • Ongoing validation in constructing sector • Source of social data © UEP 31
- 32. Future works
- 33. Future works • Continuous selection • Collaborative method • Dynamic selection method Method configurability + method instance logging = recommendation method based on process mining techniques © UEP 33
- 34. MAPSS, a Multi-Aspect Partner and Service Selection Method Thank you Zbigniew Paszkiewicz Willy Picard zpasz@kti.ue.poznan.pl picard@kti.ue.poznan.pl Poznań University of Economics
Editor's Notes
- #3: WP + ZP