scholarly journals A two-echelon inventory model with stock-dependent demand and variable holding cost for deteriorating items

2017 ◽  
Vol 7 (1) ◽  
pp. 21-50 ◽  
Author(s):  
Magfura Pervin ◽  
◽  
Sankar Kumar Roy ◽  
Gerhard Wilhelm Weber ◽  
Keyword(s):  
Inventory Model ◽  
Deteriorating Items ◽  
Stock Dependent Demand ◽  
Holding Cost ◽  
Variable Holding Cost ◽  
Dependent Demand

An inventory model for deteriorating items with stock-dependent demand, time-varying holding cost and shortages

OPSEARCH ◽  
2013 ◽  
Vol 52 (1) ◽  
pp. 55-74 ◽  
Author(s):  
Karabi Dutta Choudhury ◽  
Biplab Karmakar ◽  
Mantu Das ◽  
Tapan Kumar Datta
Keyword(s):  
Inventory Model ◽  
Deteriorating Items ◽  
Time Varying ◽  
Stock Dependent Demand ◽  
Holding Cost ◽  
Dependent Demand

INVENTORY MODEL OF DETERIORATING ITEMS FOR LINEAR HOLDING COST WITH TIME DEPENDENT DEMAND

2015 ◽  
Vol 4 (1) ◽  
pp. 29-36
Author(s):  
N Mishra ◽  
SP Mishra ◽  
Srichandan Mishra ◽  
J Panda ◽  
UK Misra
Keyword(s):  
Inventory Model ◽  
Deteriorating Items ◽  
Time Dependent ◽  
Holding Cost ◽  
Dependent Demand

An EOQ inventory model with nonlinear stock dependent holding cost, nonlinear stock dependent demand and trade credit

2020 ◽  
Vol 139 ◽  
pp. 105557 ◽  
Author(s):  
Leopoldo Eduardo Cárdenas-Barrón ◽  
Ali Akbar Shaikh ◽  
Sunil Tiwari ◽  
Gerardo Treviño-Garza
Keyword(s):  
Trade Credit ◽  
Inventory Model ◽  
Stock Dependent Demand ◽  
Holding Cost ◽  
Dependent Demand

scholarly journals Inventory model of deteriorating items with two-warehouse and stock dependent demand using genetic algorithm in fuzzy environment

2012 ◽  
Vol 22 (1) ◽  
pp. 51-78 ◽  
Author(s):  
Dharmendra Yadav ◽  
S.R. Singh ◽  
Rachna Kumari
Keyword(s):  
Genetic Algorithm ◽  
Inventory Model ◽  
Deteriorating Items ◽  
Market Place ◽  
Time Value Of Money ◽  
Fuzzy Environment ◽  
Purchase Cost ◽  
Stock Dependent Demand ◽  
Fuzzy Goal ◽  
Dependent Demand

Multi-item inventory model for deteriorating items with stock dependent demand under two-warehouse system is developed in fuzzy environment (purchase cost, investment amount and storehouse capacity are imprecise ) under inflation and time value of money. For display and storage, the retailers hire one warehouse of finite capacity at market place, treated as their own warehouse (OW), and another warehouse of imprecise capacity which may be required at some place distant from the market, treated as a rented warehouse (RW). Joint replenishment and simultaneous transfer of items from one warehouse to another is proposed using basic period (BP) policy. As some parameters are fuzzy in nature, objective (average profit) functions as well as some constraints are imprecise in nature, too. The model is formulated so to optimize the possibility/necessity measure of the fuzzy goal of the objective functions, and the constraints satisfy some pre-defined necessity. A genetic algorithm (GA) is used to solve the model, which is illustrated on a numerical example.

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