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A Multi-item Inventory Model with Fuzzy Rough Coefficients via Fuzzy Rough Expectation

  • 2018
  • OriginalPaper
  • Chapter
Published in:
Authors
Totan Garai
Dipankar Chakraborty
Tapan Kumar Roy
Published in
Operations Research and Optimization
Publisher
Springer Singapore

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Abstract

In this paper, we concentrated on developing a multi-item inventory model under fuzzy rough environment. Here, demand and holding cost rates are assumed as the functions of stock level. Fuzzy rough expectation method is used to transform the present fuzzy rough inventory model into its equivalent crisp model. A numerical example is provided to illustrate the proposed model. To show the validity of the proposed models, few sensitivity analyses are also presented under the major parameter, and the results are illustrated numerically and graphically.

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previous chapter Performance Evaluation of Management Faculty Using Hybrid Model of Logic—AHP
Title
A Multi-item Inventory Model with Fuzzy Rough Coefficients via Fuzzy Rough Expectation
Authors
Totan Garai
Dipankar Chakraborty
Tapan Kumar Roy
Copyright Year
2018
Publisher
Springer Singapore
Book
Operations Research and Optimization

Print ISBN: 978-981-10-7813-2

Electronic ISBN: 978-981-10-7814-9

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-7814-9_26
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