In the present model a fuzzy random periodic review system has been
investigated with the annual demand assumed to be a discrete fuzzy
random variable with associated imprecise probabilities. Keeping in mind
the widespread application of the Just-In-Time manufacturing philosophy
and lead-time management being one of its most effective methods of
implementation, the lead-time has been assumed to be an added control
parameter. Also as it may not be always possible to resolve the
lead-time into all its components and estimate their individual crashing
costs, the crashing cost has been introduced as a negative exponential
function of the lead-time. A methodology has been developed in this
regard such that the total inventory cost is minimized and the optimal
period of review, the optimal target inventory level and the optimal
lead-time are determined in the process. An algorithm has been provided
to encapsulate the methodology and it has been illustrated by way of a
numerical example. (C) 2011 Elsevier Inc. All rights reserved.
%0 Journal Article
%1 ISI:000308571900045
%A Dey, Oshmita
%A Chakraborty, Debjani
%D 2012
%J APPLIED MATHEMATICAL MODELLING
%K imported
%N 12
%P 6312-6322
%R 10.1016/j.apm.2011.09.047
%T A fuzzy random periodic review system with variable lead-time and
negative exponential crashing cost
%V 36
%X In the present model a fuzzy random periodic review system has been
investigated with the annual demand assumed to be a discrete fuzzy
random variable with associated imprecise probabilities. Keeping in mind
the widespread application of the Just-In-Time manufacturing philosophy
and lead-time management being one of its most effective methods of
implementation, the lead-time has been assumed to be an added control
parameter. Also as it may not be always possible to resolve the
lead-time into all its components and estimate their individual crashing
costs, the crashing cost has been introduced as a negative exponential
function of the lead-time. A methodology has been developed in this
regard such that the total inventory cost is minimized and the optimal
period of review, the optimal target inventory level and the optimal
lead-time are determined in the process. An algorithm has been provided
to encapsulate the methodology and it has been illustrated by way of a
numerical example. (C) 2011 Elsevier Inc. All rights reserved.
@article{ISI:000308571900045,
abstract = {{In the present model a fuzzy random periodic review system has been
investigated with the annual demand assumed to be a discrete fuzzy
random variable with associated imprecise probabilities. Keeping in mind
the widespread application of the Just-In-Time manufacturing philosophy
and lead-time management being one of its most effective methods of
implementation, the lead-time has been assumed to be an added control
parameter. Also as it may not be always possible to resolve the
lead-time into all its components and estimate their individual crashing
costs, the crashing cost has been introduced as a negative exponential
function of the lead-time. A methodology has been developed in this
regard such that the total inventory cost is minimized and the optimal
period of review, the optimal target inventory level and the optimal
lead-time are determined in the process. An algorithm has been provided
to encapsulate the methodology and it has been illustrated by way of a
numerical example. (C) 2011 Elsevier Inc. All rights reserved.}},
added-at = {2012-11-12T12:23:15.000+0100},
author = {Dey, Oshmita and Chakraborty, Debjani},
biburl = {https://www.bibsonomy.org/bibtex/25f8d105fd50a619de6d4b643dec1c2fb/references},
doi = {{10.1016/j.apm.2011.09.047}},
interhash = {967775fcd3a988346b564310bf0b5361},
intrahash = {5f8d105fd50a619de6d4b643dec1c2fb},
issn = {{0307-904X}},
journal = {{APPLIED MATHEMATICAL MODELLING}},
keywords = {imported},
month = {{DEC}},
number = {{12}},
pages = {{6312-6322}},
timestamp = {2012-11-12T12:23:15.000+0100},
title = {{A fuzzy random periodic review system with variable lead-time and
negative exponential crashing cost}},
unique-id = {{ISI:000308571900045}},
volume = {{36}},
year = {{2012}}
}