Interactive Inventory Model under Permissible Delay and Imprecision
Current study develops a trade credit system between supplier and buyer where demand is assumed to be time dependent and deterioration follows weibull distribution. Shortages are allowed and excess demand is backlogged. The parameters involved in the supply chain system may likely to be varied due...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Operations research society of Taiwan
2020-06-01
|
Series: | International Journal of Operations Research |
Online Access: | http://www.orstw.org.tw/ijor/6_volume17_no2.html |
id |
doaj-9427382966a64e6289dea4566b475db2 |
---|---|
record_format |
Article |
spelling |
doaj-9427382966a64e6289dea4566b475db22020-11-25T02:33:02ZengOperations research society of TaiwanInternational Journal of Operations Research1813-71482020-06-01172496310.6886/IJOR.202006_17(2).0002Interactive Inventory Model under Permissible Delay and ImprecisionP.K. Tripathy0Sujata Sukla1P.G. Department of Statistics Utkal University, Bhubaneswar-751004, India.P.G. Department of Statistics Utkal University, Bhubaneswar-751004, India.Current study develops a trade credit system between supplier and buyer where demand is assumed to be time dependent and deterioration follows weibull distribution. Shortages are allowed and excess demand is backlogged. The parameters involved in the supply chain system may likely to be varied due to the changing business environment. Therefore, it will be more realistic and market friendly to deal with fuzzy model rather than crisp model. Here the optimal solution is attained for different periods of permissible delay as furnished by the seller to the buyer. Sensitivity analysis is incorporated to investigate the effect of different system parameters in enhancing the profit. The study can make the supply chain strategy of the company more robust by making the most sense through stock prediction and its selection so as to ensure that any disruption in the supply chain would not bring the company to a grinding halt.http://www.orstw.org.tw/ijor/6_volume17_no2.html |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
P.K. Tripathy Sujata Sukla |
spellingShingle |
P.K. Tripathy Sujata Sukla Interactive Inventory Model under Permissible Delay and Imprecision International Journal of Operations Research |
author_facet |
P.K. Tripathy Sujata Sukla |
author_sort |
P.K. Tripathy |
title |
Interactive Inventory Model under Permissible Delay and Imprecision |
title_short |
Interactive Inventory Model under Permissible Delay and Imprecision |
title_full |
Interactive Inventory Model under Permissible Delay and Imprecision |
title_fullStr |
Interactive Inventory Model under Permissible Delay and Imprecision |
title_full_unstemmed |
Interactive Inventory Model under Permissible Delay and Imprecision |
title_sort |
interactive inventory model under permissible delay and imprecision |
publisher |
Operations research society of Taiwan |
series |
International Journal of Operations Research |
issn |
1813-7148 |
publishDate |
2020-06-01 |
description |
Current study develops a trade credit system between supplier and buyer where demand is assumed to be time dependent and deterioration follows weibull distribution. Shortages are allowed and excess demand is backlogged. The parameters involved in the supply chain system may likely to be varied due to the changing business environment. Therefore, it will be more realistic and market friendly to deal with fuzzy model rather than crisp model. Here the optimal solution is attained for different periods of permissible delay as furnished by the seller to the buyer. Sensitivity analysis is incorporated to investigate the effect of different system parameters in enhancing the profit. The study can make the supply chain strategy of the company more robust by making the most sense through stock prediction and its selection so as to ensure that any disruption in the supply chain would not bring the company to a grinding halt. |
url |
http://www.orstw.org.tw/ijor/6_volume17_no2.html |
work_keys_str_mv |
AT pktripathy interactiveinventorymodelunderpermissibledelayandimprecision AT sujatasukla interactiveinventorymodelunderpermissibledelayandimprecision |
_version_ |
1724815979260674048 |