A Periodic Review Inventory Model with Demand Influenced by Promotion Decisions

1999 ◽  
Vol 45 (11) ◽  
pp. 1510-1523 ◽  
Author(s):  
Feng Cheng ◽  
Suresh P. Sethi
2018 ◽  
Vol 15 ◽  
pp. 8051-8069
Author(s):  
H. A. Ferganya ◽  
Osama Mahmoud Hollah

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.


Author(s):  
Raida Abuizam

This paper presents the use of Palisade @RISK simulation and RISKOptimizer to minimize the expected cost of inventory per period over a long time horizon. An (s, S) ordering policy will be used in this analysis. In an (s, S) ordering policy, an order is placed at the beginning of any period in which beginning inventory is less than s. The order size is the amount needed to bring the inventory level up to S. This paper illustrates a comparison between the use of @RISK simulation with trial values of (s, S) and the use of RISKOptimizer to find optimal values of (s, S) that minimize the expected cost of inventory over a period of time in a periodic review inventory model.


2013 ◽  
Vol 233 (1) ◽  
pp. 365-381 ◽  
Author(s):  
Koushik S. Ramakrishna ◽  
Moosa Sharafali ◽  
Yun Fong Lim

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