Name
Abstract | ||
|---|---|---|
Today's business environment is characterized by complex logistics networks which contain multiple actors participating in the provision of products and services. These (potentially) legally independent yet highly inter-dependent companies need to be coordinated in their actions to achieve a high supply chain performance. Thereby, peculiar challenges -- affecting the design of effective coordination mechanisms, e.g. Limited willingness to share sensitive information -- are addressed by current research in supply chain management, especially the promising field of collaborative planning (CP). This paper presents a methodical approach that aims at supporting the design of CP concepts and is grounded on the idea of reusing existing research results by facilitating a systematic transfer of coordination mechanisms between application domains. For a given coordination problem, the applicability of available CP concepts is assessed -- guiding the case-specific design of (potentially) effective solutions. Furthermore, we explicitly present the underlying classification, matching and transfer methods, including an exemplary application. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/HICSS.2015.129 | System Sciences |
Keywords | Field | DocType |
pattern classification,pattern matching,planning,supply chain management,cp concept,business environment,classification method,collaborative planning concept,coordination mechanism,logistics network,matching method,product provision,service provision,supply chain performance,transfer method,frisco,assessment approach,collaborative planning,decentralized coordination,heterarchical supply chains,supply chain coordination,collaboration,protocols,supply chains | Coordination game,Reuse,Computer science,Knowledge management,Business environment,Supply chain management,Supply chain,Information sensitivity | Conference |
ISSN | Citations | PageRank |
1530-1605 | 0 | 0.34 |
References | Authors | |
6 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peer Küppers | 1 | 0 | 0.34 |
| Philipp Saalmann | 2 | 1 | 1.04 |
| bernd hellingrath | 3 | 63 | 18.39 |