An inventory model with stock dependent demand, two parameter Weibull distribution deterioration in a fuzzy environment

2016 ◽  
Author(s):  
P. Anitha ◽  
P. Parvathi
Keyword(s):  
Weibull Distribution ◽  
Inventory Model ◽  
Fuzzy Environment ◽  
Stock Dependent Demand ◽  
Two Parameter ◽  
Weibull Distribution Deterioration ◽  
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.

scholarly journals Optimal pricing and lot-sizing decisions under Weibull distribution deterioration and trade credit policy

2008 ◽  
Vol 18 (2) ◽  
pp. 221-234
Author(s):  
S.K. Manna ◽  
K.S. Chaudhuri ◽  
C. Chiang
Keyword(s):  
Weibull Distribution ◽  
Trade Credit ◽  
Lot Sizing ◽  
Retail Price ◽  
Lot Size ◽  
Credit Period ◽  
Two Parameter ◽  
Weibull Distribution Deterioration ◽  
Dependent Demand

In this paper, we consider the problem of simultaneous determination of retail price and lot-size (RPLS) under the assumption that the supplier offers a fixed credit period to the retailer. It is assumed that the item in stock deteriorates over time at a rate that follows a two-parameter Weibull distribution and that the price-dependent demand is represented by a constant-price-elasticity function of retail price. The RPLS decision model is developed and solved analytically. Results are illustrated with the help of a base example. Computational results show that the supplier earns more profits when the credit period is greater than the replenishment cycle length. Sensitivity analysis of the solution to changes in the value of input parameters of the base example is also discussed.

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