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Flowshop simulator using different sampling methods

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Abstract

Descriptive sampling is based on a deterministic selection of the input sample values and their random permutation. Descriptive sampling refined is concerned with a block of descriptive samples of prime size. The latter reduces the sampling bias introduced by descriptive sampling and eliminates the problem of descriptive sampling related to the sample size. This paper compares the performance measures, in terms of precision of the estimates for three sampling methods: random sampling, descriptive sampling and refined descriptive sampling. The comparison was made for a production system of the flowshop type by discrete event simulation method.

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Authors and Affiliations

  1. Laboratory of Applied Mathematics Department of Mathematics, University of Bejaia, Algeria

    M. Tari & A. Dahmani

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  1. M. Tari
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  2. A. Dahmani
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Correspondence to M. Tari.

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Tari, M., Dahmani, A. Flowshop simulator using different sampling methods. Oper Res Int J 5, 261–272 (2005). https://doi.org/10.1007/BF02944312

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