Title | ||
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Modeling and simulation for customer driven manufacturing system design and operations planning |
Abstract | ||
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Agility, speed and flexibility in production networks are required in today's global competition in the flat world. The accuracy of order date delivery promises is a key element in customer satisfaction. Agile production needs a management and evaluation tool for production changes. Discrete event simulation, DES, has mainly been used as a production system analysis tool, to evaluate new production system concepts, layout and control logic. DES can be used for operational planning as well, as shown in the paper. The simulation analysis gives a forecast of the future with given input values, thus production managers have time to react to potential problems and evaluate alternatives. A balance between multiple parallel customer orders and finite resources can be found. The authors are developing a system design evaluation method and also a decision support system for production managers. Two case studies with different approaches are described in the paper. |
Year | DOI | Venue |
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2007 | 10.1109/WSC.2007.4419812 | Winter Simulation Conference |
Keywords | Field | DocType |
discrete event simulation,production network,agile production,decision support system,system design evaluation method,production change,production system analysis tool,new production system concept,customer satisfaction,production manager,system design,decision support systems,production management,modeling and simulation,production system | Operational planning,Production manager,Agile manufacturing,Customer satisfaction,Systems engineering,Computer science,Decision support system,Agile software development,Production planning,Discrete event simulation | Conference |
ISBN | Citations | PageRank |
1-4244-1306-0 | 1 | 0.38 |
References | Authors | |
5 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Juhani Heilala | 1 | 45 | 6.76 |
Jari Montonen | 2 | 36 | 6.49 |
Arttu Salmela | 3 | 1 | 0.38 |
Pasi Järvenpää | 4 | 1 | 0.38 |