Abstract | ||
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The ability to quote a competitive and reliable lead time for a new order is a key competitive advantage for manufacturers and plays a significant role in customer acquisition and satisfaction. Quoting a precise and reliable lead time requires a good prediction for the flow time of a new order. This research focuses on quantifying the dependence of the flow time upon observed job shop status variables, the size of a new order, and the arrival rate of future orders. An iterative fitting procedure based on stochastic kriging with qualitative factors, is developed to synergistically model simulation and real manufacturing data, for the prediction of a new order's flow time.
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Year | DOI | Venue |
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2017 | 10.5555/3242181.3242461 | WSC '17: Winter Simulation Conference
Las Vegas
Nevada
December, 2017 |
Field | DocType | ISSN |
Customer acquisition,Kriging,Data modeling,Industrial engineering,Simulation,Computer science,Job shop,Server,Competitive advantage,Flow time,Lead time | Conference | 0891-7736 |
ISBN | Citations | PageRank |
978-1-5386-3427-1 | 0 | 0.34 |
References | Authors | |
0 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hoda Sabeti | 1 | 0 | 0.34 |
Feng Yang | 2 | 47 | 7.21 |