Abstract | ||
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Supply chain management offers a large potential for organizations to reduce costs and improve customer service performance. Simulation of supply chains can help in these objectives by evaluating the impact of alternative inventory control policies. Supply chain simulation involves the modeling of multiple factories across the chain and can get quite complex. Analysts typically carry out such simulation at a coarse level of detail to keep the complexity and computing resources manageable. However, modeling at coarse levels may reduce the accuracy of outputs and affect the quality of decisions. In this paper, we report on a study to compare the quality of results at different levels of detail in a semiconductor supply chain simulation |
Year | DOI | Venue |
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1999 | 10.1109/WSC.1999.823302 | Winter Simulation Conference |
Keywords | Field | DocType |
customer service performance,logistics data processing,level of detail,discrete event simulation,supply chain management,detailed modeling,inventory control policies,electronics industry,semiconductors,detailed modeling criticality,complexity,decision quality,semiconductor supply chain simulation,multiple factories,output accuracy,stock control data processing,cost reduction,computational modeling,supply chains,supply chain,inventory control,transportation,manufacturing,investments,resource manager | Demand chain,Service management,Systems engineering,Level of detail,Computer science,Inventory control,Supply chain management,Supply chain,Criticality,Discrete event simulation | Conference |
Volume | ISBN | Citations |
1 | 0-7803-5780-9 | 17 |
PageRank | References | Authors |
2.48 | 6 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sanjay Jain | 1 | 1647 | 177.87 |
Chu-Cheow Lim | 2 | 168 | 14.45 |
Boon-Ping Gan | 3 | 68 | 9.08 |
Yoke-Hean Low | 4 | 54 | 7.74 |