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Erschienen in:
Multilevel Meshfree RBF-FD Method for Elliptic Partial Differential Equations Kapitel lesen Erstes Kapitel lesen

2023 | OriginalPaper | Buchkapitel

Fuzzy Random Continuous Review Inventory Model with Controllable Lead-Time and Exponential Crashing Cost

verfasst von : Wasim Firoz Khan, Oshmita Dey

Erschienen in: Engineering Mathematics and Computing

Verlag: Springer Nature Singapore

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Abstract

In this paper, a continuous review inventory model is studied in a mixed imprecise and uncertain environment. A methodology is proposed to quantify both imprecise (fuzzy) and stochastic (random) information simultaneously. This enables the simultaneous inclusion of both the inherent randomness present in any real-life inventory situation and the subjective evaluation of the decision maker into the model. A methodology is developed by assuming the annual customer demand to be a continuous fuzzy random variable following normal distribution with associated fuzzy probability density function. Also the lead-time is assumed to be a control parameter and a lead-time crashing cost, in the form of an exponential function, is incorporated into the total inventory cost. The optimal values of the decision variables are determined so that the crisp equivalent of total expected annual inventory cost is a minimum. Numerical analysis is presented to illustrate the proposed model and provide some insights.

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Vorheriges Kapitel Some Fixed Point Theorems in Fuzzy Strong b-Metric Spaces
Nächstes Kapitel Existence of Quadruple Fixed Point Results in Ordered K-Metric Space Through C-Distance with Application in Integral Equation
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Metadaten
Titel
Fuzzy Random Continuous Review Inventory Model with Controllable Lead-Time and Exponential Crashing Cost
verfasst von
Wasim Firoz Khan
Oshmita Dey
Copyright-Jahr
2023
Verlag
Springer Nature Singapore
Buch
Engineering Mathematics and Computing

Print ISBN: 978-981-19-2299-2

Electronic ISBN: 978-981-19-2300-5

Copyright-Jahr: 2023

DOI
https://doi.org/10.1007/978-981-19-2300-5_3

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