Abstract | ||
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Nowadays, automotive industry is focused at satisfying at maximum individual demands of the consumers. It is related with a wide range of offered products, which becomes a challenge for logistics. Limited space around an assembly line, necessity for assuring continuity of production, high costs of storing stock and storage space force people to use JIS delivery. This kind of delivery is a complex process, which depends on many factors such as tact time, quantity of parts in transport container, etc. It opens possibilities for using different kinds of technology, e.g. computer simulation. Present paper shows the example application of simulation in logistics process. The main problem to solve was the quantity of containers in sequencing delivery process of car windows. Article presents the problem definition, structure of build model, tool construction and some of the experiments which were made on the simulation model. |
Year | DOI | Venue |
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2012 | 10.1109/WSC.2012.6465025 | Winter Simulation Conference |
Keywords | Field | DocType |
flexsim simulation experiment,maximum individual demands,complex process,car window delivery process sequencing,just in sequence delivery improvement,assembling,problem definition,automobiles,tool construction,simulation model,storage space costs,storage space force people,sequence delivery improvement,containers,limited space,main problem,sequencing delivery process,jis delivery,stock storage costs,logistics process,assembly line,digital simulation,production continuity,goods distribution,automotive components,just-in-time,costing,automotive industry,computer simulation | Computer science,Simulation,Goods distribution,Manufacturing engineering,Tact,Activity-based costing,Automotive industry | Conference |
ISSN | ISBN | Citations |
0891-7736 E-ISBN : 978-1-4673-4781-5 | 978-1-4673-4781-5 | 0 |
PageRank | References | Authors |
0.34 | 1 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Pawel Pawlewski | 1 | 67 | 21.03 |
Karolina Rejmicz | 2 | 0 | 0.34 |
Kamil Stasiak | 3 | 0 | 0.34 |
Michał Pieprz | 4 | 0 | 0.34 |