Optimal Replenishment Policy for Fuzzy Inventory Model With Deteriorating Items and Allowable Shortages Under Inflationary Conditions
Yugoslav journal of operations research, Tome 26 (2016) no. 4, p. 507
Cet article a éte moissonné depuis la source eLibrary of Mathematical Institute of the Serbian Academy of Sciences and Arts
This study develops an inventory model to determine ordering policy for
deteriorating items with constant demand rate under inflationary condition over a fixed
planning horizon. Shortages are allowed and are partially backlogged. In today’s
wobbling economy, especially for long term investment, the effects of inflation cannot be
disregarded as uncertainty about future inflation may influence the ordering policy.
Therefore, in this paper a fuzzy model is developed that fuzzify the inflation rate,
discount rate, deterioration rate, and backlogging parameter by using triangular fuzzy
numbers to represent the uncertainty. For Defuzzification, the well known signed
distance method is employed to find the total profit over the planning horizon. The
objective of the study is to derive the optimal number of cycles and their optimal length
so to maximize the net present value of the total profit over a fixed planning horizon. The
necessary and sufficient conditions for an optimal solution are characterized. An
algorithm is proposed to find the optimal solution. Finally, the proposed model has been
validated with numerical example. Sensitivity analysis has been performed to study the
impact of various parameters on the optimal solution, and some important managerial
implications are presented.
Classification :
90B05
Keywords: Inventory, Deterioration, Partial Backlogging, Inflation, Triangular Fuzzy Number and Signed Distance Method
Keywords: Inventory, Deterioration, Partial Backlogging, Inflation, Triangular Fuzzy Number and Signed Distance Method
@article{YJOR_2016_26_4_a5,
author = {Chandra K. Jaggi and Sarla Pareek and Aditi Khanna and Nidhi},
title = {Optimal {Replenishment} {Policy} for {Fuzzy} {Inventory} {Model} {With} {Deteriorating} {Items} and {Allowable} {Shortages} {Under} {Inflationary} {Conditions}},
journal = {Yugoslav journal of operations research},
pages = {507 },
year = {2016},
volume = {26},
number = {4},
language = {en},
url = {http://geodesic.mathdoc.fr/item/YJOR_2016_26_4_a5/}
}
TY - JOUR AU - Chandra K. Jaggi AU - Sarla Pareek AU - Aditi Khanna AU - Nidhi TI - Optimal Replenishment Policy for Fuzzy Inventory Model With Deteriorating Items and Allowable Shortages Under Inflationary Conditions JO - Yugoslav journal of operations research PY - 2016 SP - 507 VL - 26 IS - 4 UR - http://geodesic.mathdoc.fr/item/YJOR_2016_26_4_a5/ LA - en ID - YJOR_2016_26_4_a5 ER -
%0 Journal Article %A Chandra K. Jaggi %A Sarla Pareek %A Aditi Khanna %A Nidhi %T Optimal Replenishment Policy for Fuzzy Inventory Model With Deteriorating Items and Allowable Shortages Under Inflationary Conditions %J Yugoslav journal of operations research %D 2016 %P 507 %V 26 %N 4 %U http://geodesic.mathdoc.fr/item/YJOR_2016_26_4_a5/ %G en %F YJOR_2016_26_4_a5
Chandra K. Jaggi; Sarla Pareek; Aditi Khanna; Nidhi. Optimal Replenishment Policy for Fuzzy Inventory Model With Deteriorating Items and Allowable Shortages Under Inflationary Conditions. Yugoslav journal of operations research, Tome 26 (2016) no. 4, p. 507 . http://geodesic.mathdoc.fr/item/YJOR_2016_26_4_a5/