Name
Abstract | ||
|---|---|---|
This paper describes methodology, toolset and case studies of adaptive planning for supply chain networks based on the holistic approach, multi-agent technology and ontological modeling. The set of tools for the development of adaptive planners can be used for a wide range of applications. Case studies are included describing applications inr adaptive airport logistics, factory planning, laundry scheduling and pharmaceutical logistics. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-74481-8_21 | HoloMAS |
Keywords | Field | DocType |
adaptive planner,adaptive planning,supply chain networks,factory planning,adaptive airport logistics,ontological modeling,laundry scheduling,holistic approach,case study,multi-agent technology,pharmaceutical logistics,semantic network,semantic networks,ontology,multi agent system | Ontology,Factory,Systems engineering,Scheduling (computing),Laundry,Semantic network,Multi-agent system,Supply chain,Engineering | Conference |
Volume | ISSN | Citations |
4659 | 0302-9743 | 5 |
PageRank | References | Authors |
0.72 | 5 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michael Andreev | 1 | 11 | 1.18 |
| George Rzevski | 2 | 69 | 12.37 |
| Petr Skobelev | 3 | 118 | 24.61 |
| Peter Shveykin | 4 | 10 | 1.70 |
| Alexander Tsarev | 5 | 30 | 6.44 |
| Andrew Tugashev | 6 | 5 | 0.72 |