Knowledge Management to Support the Integration of Scheduling and Supply Chain Planning using Lagrangean Decomposition
Metadata only
Autor(in)
Alle anzeigen
Datum
2015Typ
- Conference Paper
ETH Bibliographie
yes
Altmetrics
Abstract
The complexity of integrated planning and scheduling models can be tackled with decomposition techniques based on duality and information flows between a master and a set of subproblems. Hence, the information sharing and communication of information from the industrial environments requires flexible structures, facilitating the use of analytic tools and providing higher flexibility for model building in industrial environments. In this work, an ontological framework is proposed to allow the virtualization of systems and processes and to implement a novel Lagrangean decomposition scheme based on hierarchical level decomposition. Indeed, the scheduling and planning sub-problems are created for each facility/supply chain entity and their dual solution information is shared by means of the ontological framework. Two case studies based on a STN supply chain planning and scheduling models are presented to emphasize the advantages and limitations of the proposed approach. Mehr anzeigen
Publikationsstatus
publishedExterne Links
Buchtitel
12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process EngineeringZeitschrift / Serie
Computer Aided Chemical EngineeringBand
Seiten / Artikelnummer
Verlag
ElsevierKonferenz
Thema
Lagrangean Decomposition; Integration; Planning; Scheduling; Knowledge ManagementETH Bibliographie
yes
Altmetrics