Stochastic make-to-stock inventory deployment problem: An endosymbiotic psychoclonal algorithm based approach

V. Kumar; Prakash; M. K. Tiwari; F. T.S. Chan

doi:10.1080/00207540500459678

Stochastic make-to-stock inventory deployment problem: An endosymbiotic psychoclonal algorithm based approach

V. Kumar, Prakash, M. K. Tiwari, F. T.S. Chan^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

21 Citations (SciVal)

Original language	English
Pages (from-to)	2245-2263
Number of pages	19
Journal	International Journal of Production Research
Volume	44
Issue number	11
DOIs	https://doi.org/10.1080/00207540500459678
Publication status	Published (VoR) - 1 Jun 2006

Keywords

Endosymbiotic- psychoclonal
Hybrid evolutionary algorithm
Integrated steel manufacturer
Make-to-stock inventory

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10.1080/00207540500459678

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title = "Stochastic make-to-stock inventory deployment problem: An endosymbiotic psychoclonal algorithm based approach",

keywords = "Endosymbiotic- psychoclonal, Hybrid evolutionary algorithm, Integrated steel manufacturer, Make-to-stock inventory",

author = "V. Kumar and Prakash and Tiwari, \{M. K.\} and Chan, \{F. T.S.\}",

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T1 - Stochastic make-to-stock inventory deployment problem

T2 - An endosymbiotic psychoclonal algorithm based approach

AU - Kumar, V.

AU - Prakash,

AU - Tiwari, M. K.

AU - Chan, F. T.S.

PY - 2006/6/1

Y1 - 2006/6/1

KW - Endosymbiotic- psychoclonal

KW - Hybrid evolutionary algorithm

KW - Integrated steel manufacturer

KW - Make-to-stock inventory

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JF - International Journal of Production Research

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Stochastic make-to-stock inventory deployment problem: An endosymbiotic psychoclonal algorithm based approach

Keywords

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