Simulation scheduling in food industry application

S. Simeonov and J. Simeonovová
Additional contact information
S. Simeonov: 2 SIMEON SIMEONOV and JANA SIMEONOVOVÁ
J. Simeonovová: 2 SIMEON SIMEONOV and JANA SIMEONOVOVÁ

Czech Journal of Food Sciences, 2002, vol. 20, issue 1, 31-37

Abstract: Nowadays manufacturers are facing rapid and fundamental changes in the ways business is done. Producers are looking for simulation systems increasing throughput and profit, reducing cycle time, improving due-date performance, reducing WIP, providing plant-wide synchronization, etc. Planning and scheduling of coffee production is important for the manufacturer to synchronize production capacity and material inputs to meet the delivery date promised to the customer. A simulation model of coffee production was compiled. It includes roasting, grinding and packaging processes. Using this model the basic features of the coffee production system are obtained. An optimization module of the simulation SW is used for improving the current structure of the production system. Gantt charts and reports are applied for scheduling. Capacity planning problems related to coffee production are discussed.

Keywords: simulation; scheduling; coffee production (search for similar items in EconPapers)
Date: 2002
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://cjfs.agriculturejournals.cz/doi/10.17221/3506-CJFS.html (text/html)
http://cjfs.agriculturejournals.cz/doi/10.17221/3506-CJFS.pdf (application/pdf)
free of charge

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:caa:jnlcjf:v:20:y:2002:i:1:id:3506-cjfs

DOI: 10.17221/3506-CJFS

Access Statistics for this article

Czech Journal of Food Sciences is currently edited by Ing. Zdeňka Náglová Ph.D.

More articles in Czech Journal of Food Sciences from Czech Academy of Agricultural Sciences
Bibliographic data for series maintained by Ivo Andrle ().