This paper reports the findings of using multi-agent based simulation model to evaluate the sawmill yard operations within a large privately owned sawmill in Sweden, Bergkvist Insjön AB in the current case. Conventional working routines within sawmill yard threaten the overall efficiency and thereby limit the profit margin of sawmill. Deploying dynamic work routines within the sawmill yard is not readily feasible in real time, so discrete event simulation model has been investigated to be able to report optimal work order depending on the situations. Preliminary investigations indicate that the results achieved by simulation model are promising. It is expected that the results achieved in the current case will support Bergkvist-Insjön AB in making optimal decisions by deploying efficient work order in sawmill yard.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:du-11791 |
| Date | January 2012 |
| Creators | Shaik, Asif Ur Rahman, Vlad, Stefan, Rebreyend, Pascal, Yella, Siril |
| Publisher | Högskolan Dalarna, Datateknik, Högskolan Dalarna, Datateknik, Högskolan Dalarna, Datateknik |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Conference paper, info:eu-repo/semantics/conferenceObject, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | ASM-ASC 2012 - Applied Simulation and Modelling - Artificial Intelligence and Soft Computing |
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