A JELS PROBABILISTIC INVENTORY MODEL FOR ONE VENDOR MULTI-CUSTOMERS SITUATION WITH RANDOM DEMANDS HAVING TRUNCATED NORMAL DISTRIBUTIONS

2012 ◽  
pp. 353-371
Author(s):  
D.A. KHAN
Keyword(s):  
Inventory Model ◽  
Normal Distributions ◽  
Truncated Normal ◽  
Probabilistic Inventory Model

Truncated Normal Distributions

Nature ◽  
1950 ◽  
Vol 165 (4194) ◽  
pp. 444-445 ◽  
Author(s):  
H. R. THOMPSON
Keyword(s):  
Normal Distributions ◽  
Truncated Normal

scholarly journals A multi item probabilistic inventory model

2017 ◽  
Vol 893 ◽  
pp. 012024 ◽  
Author(s):  
Dharma Lesmono ◽  
Taufik Limansyah
Keyword(s):  
Inventory Model ◽  
Probabilistic Inventory Model

scholarly journals Probabilistic Inventory Model Multi-Source Backlogged Probabilistic Inventory Model for Crisp and Fuzzy Environment

2018 ◽  
Vol 15 ◽  
pp. 8051-8069
Author(s):  
H. A. Ferganya ◽  
Osama Mahmoud Hollah
Keyword(s):  
Random Variable ◽  
Inventory Model ◽  
Inventory Level ◽  
Periodic Review ◽  
Fuzzy Environment ◽  
Holding Cost ◽  
Annual Total ◽  
Probabilistic Inventory Model ◽  
Erlang Distributions ◽  
Periodic Review Inventory

This paper proposed a multi-item multi-source probabilistic periodic review inventory model under a varying holding cost constraint with zero lead time when: (1) the stock level decreases at a uniform rate over the cycle. (2) some costs are varying. (3) the demand is a random variable that follows some continuous distributions as (two-parameter exponential, Kumerswamy, Gamma, Beta, Rayleigh, Erlang distributions). The objective function under a constraint is imposed here in crisp and fuzzy environment. The objective is to find the optimal maximum inventory level for a given review time that minimize the expected annual total cost. Furthermore, a comparison between given distributions is made to find the optimal distribution that achieves the model under considerations. Finally, a numerical example is applied.

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