Name
Abstract | ||
|---|---|---|
Nowadays, process industry has to operate in a fast changing environment and a highly dynamic market, requiring efficient decision-making on all levels of plant planning, scheduling and control based on uncertain information. This paper deals with a case of flexible production planning for a multi-product plant to optimise expected proceeds from product sales when facing uncertainty in the demands for existing and emerging new products over the planning period. The emphasis is on the applicability of the developed planning technique that should be compatible with the normal work processes and with the associated level of technical competence, ensuring that the input and output of the method is well understood and interpreted by the users. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/ICSMC.2004.1401002 | 2004 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOLS 1-7 |
Keywords | Field | DocType |
production systems, decision-making strategies for practical scheduling | Process industry,Material requirements planning,Sales and operations planning,Scheduling (computing),Computer science,Operations research,Input/output,Production planning,Artificial intelligence,Transportation planning,Machine learning | Conference |
ISSN | Citations | PageRank |
1062-922X | 1 | 0.82 |
References | Authors | |
3 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Petra Heijnen | 1 | 1 | 0.82 |
| Johan Grievink | 2 | 18 | 5.52 |