TY - JOUR
T1 - A non-instantaneous inventory model having different deterioration rates with stock and price dependent demand under partially backlogged shortages
AU - Md Mashud, Abu Hashan
AU - Khan, Md Al Amin
AU - Uddin, M. Sharif
AU - Islam, M. Nazrul
N1 - Publisher Copyright:
© 2018 Growing Science Ltd. All rights reserved. and 2018 by the authors.
PY - 2018
Y1 - 2018
N2 - This study is an inventory model with consideration of price, stock dependent demand, partially backlogged shortages, and two constant deterioration rates. In this model, demand function depends on price and stock while during the shortage time, demand depends only on price of the product. The deterioration is taken into account as a non-instantaneous, once the item is stocked in retailer’s house, any time deterioration can start with a constant rate for a certain period, then this deterioration rate increases. Shortages are allowed and it is partially backlogged. The corresponding inventory problem constitutes a non-linear constraint optimization problem. Here this problem has been solved using Lingo 15 software and also give 3D graph with the help of MATLAB2010a to show the convexity of the objective function. Finally, to illustrate and validate the inventory model, a numerical example is used considering fixed price. To study the effect of changes of different inventory parameters, a sensitivity analysis has been carried out changing one parameter at a time holding other parameters unchanged.
AB - This study is an inventory model with consideration of price, stock dependent demand, partially backlogged shortages, and two constant deterioration rates. In this model, demand function depends on price and stock while during the shortage time, demand depends only on price of the product. The deterioration is taken into account as a non-instantaneous, once the item is stocked in retailer’s house, any time deterioration can start with a constant rate for a certain period, then this deterioration rate increases. Shortages are allowed and it is partially backlogged. The corresponding inventory problem constitutes a non-linear constraint optimization problem. Here this problem has been solved using Lingo 15 software and also give 3D graph with the help of MATLAB2010a to show the convexity of the objective function. Finally, to illustrate and validate the inventory model, a numerical example is used considering fixed price. To study the effect of changes of different inventory parameters, a sensitivity analysis has been carried out changing one parameter at a time holding other parameters unchanged.
KW - Constant deterioration
KW - Inventory
KW - Non-instantaneous
KW - Partially backlogged shortages
KW - Price dependent demand
KW - Stock dependent demand
UR - http://www.scopus.com/inward/record.url?scp=85022080381&partnerID=8YFLogxK
U2 - 10.5267/j.uscm.2017.6.003
DO - 10.5267/j.uscm.2017.6.003
M3 - Article
AN - SCOPUS:85022080381
SN - 2291-6822
VL - 6
SP - 49
EP - 64
JO - Uncertain Supply Chain Management
JF - Uncertain Supply Chain Management
IS - 1
ER -