Imperfect Inventory Model for Trended Demand Under Radio Frequency Identification and Trade Credit
Yugoslav journal of operations research, Tome 30 (2020) no. 4, p. 499
Cet article a éte moissonné depuis la source eLibrary of Mathematical Institute of the Serbian Academy of Sciences and Arts
In this paper, models on concepts of radio frequency identification adoption
(RFID), imperfect products reworking system, and trade credit for deteriorating inventory with / without utilizing the preservation investment technology are derived, which
makes this article, a unique one. Estimation of optimal values of RIFD levels of investment for ordering, operating, just in time efficiencies along with production cycle time,
and preservation investment are carried out. The rate of market demand is quadratic in
nature based on time and is suitable for the items for which demand rises primarily, and
then after it begins to decline. This form of demand is applicable to a vast range of items
like garments, fashion accessories, electronics, etc.. The model is further divided into
two cases based on demand rate and products reworking of imperfect quality items. Further, in each case, four subcases based on credit period and time of production cycle are
analysed. The main objective of the inventory problem is to calculate total manufacturing cost in each subcase. The classical optimization technique is utilized for calculating
the optimal values of decision variables. For the validation of developed models in each
case, numerical examples are demonstrated, then using the concept of eigen-values of
a Hessian matrix, we have proved the convex nature of the systems total cost for the
case which has the minimum total cost. Also the decision variable sensitivity analysis
is done by altering the inventory parameters for generating fruitful managerial insights.
The model derived in this article can be applied in supply chain management of packaged
food products/seasonal food products/milk products like butter, cheese, etc., where the
tags for RFID are applied to track eatable/milk items of during delivery and storing.
Also, if the model deals with a product of improper production, then it undergoes the
reworking process.
Classification :
90B85, 90C26
Keywords: Deterioration, Trade Credit, Radio Frequency Identification Adoption, Preservation Investment, Time Dependent Demand Rate, Reworking System for Imperfect Production
Keywords: Deterioration, Trade Credit, Radio Frequency Identification Adoption, Preservation Investment, Time Dependent Demand Rate, Reworking System for Imperfect Production
@article{YJOR_2020_30_4_a6,
author = {Nita H. Shah and Monika K. Naik},
title = {Imperfect {Inventory} {Model} for {Trended} {Demand} {Under} {Radio} {Frequency} {Identification} and {Trade} {Credit}},
journal = {Yugoslav journal of operations research},
pages = {499 },
year = {2020},
volume = {30},
number = {4},
language = {en},
url = {http://geodesic.mathdoc.fr/item/YJOR_2020_30_4_a6/}
}
TY - JOUR AU - Nita H. Shah AU - Monika K. Naik TI - Imperfect Inventory Model for Trended Demand Under Radio Frequency Identification and Trade Credit JO - Yugoslav journal of operations research PY - 2020 SP - 499 VL - 30 IS - 4 UR - http://geodesic.mathdoc.fr/item/YJOR_2020_30_4_a6/ LA - en ID - YJOR_2020_30_4_a6 ER -
%0 Journal Article %A Nita H. Shah %A Monika K. Naik %T Imperfect Inventory Model for Trended Demand Under Radio Frequency Identification and Trade Credit %J Yugoslav journal of operations research %D 2020 %P 499 %V 30 %N 4 %U http://geodesic.mathdoc.fr/item/YJOR_2020_30_4_a6/ %G en %F YJOR_2020_30_4_a6
Nita H. Shah; Monika K. Naik. Imperfect Inventory Model for Trended Demand Under Radio Frequency Identification and Trade Credit. Yugoslav journal of operations research, Tome 30 (2020) no. 4, p. 499 . http://geodesic.mathdoc.fr/item/YJOR_2020_30_4_a6/