A replenishment model for the supply-uncertainty problem

By Esmail Mohebbi. 2004

73 citations recorded by the source corpus.

Subfields: Management Information Systems, Safety, Risk, Reliability and Quality

View Paper: https://www.semanticscholar.org/paper/18f7ad878dabf11015b137ebe9ab4c1d338214bd

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Information Systems

1. Ata Allah Taleizadeh
2. Mark S. Daskin
3. Seyed Taghi Akhavan Niaki
4. Yi Feng
5. Maria Paola Scaparra
6. Benyong Hu
7. Lawrence V. Snyder
8. Richard L. Church

In Safety, Risk, Reliability and Quality

1. Mark S. Daskin
2. Yi Feng
3. Maria Paola Scaparra
4. Benyong Hu
5. Lawrence V. Snyder
6. Richard L. Church

Citations in the corpus

• A genetic algorithm to optimize multiproduct multiconstraint inventory control systems with stochastic replenishment intervals and discount (2010, background): “Moreover, for a continuous review inventory model, assuming stochastic lead-time, Mohebbi [ 29 ] considered demand a compound Poisson random variable.”
• Optimization and coordination of supply chain with revenue sharing contracts and service requirement under supply and demand uncertainty (2017, background): “As to inventory policies, Mohebbi (2004) considered a continuous-review inventory system with compound Poisson demand and uncertain supply process, and devised a level-crossing methodology for obtaining the stationary distribution of the inventory level in a lost-sales continuous-review(S,Q)-type…”
• Planning for Disruptions in Supply Chain Networks (2006, background): “There is a stream of research in the inventory literature that considers supply disruptions in the context of classical inventory models, such as the EOQ (Parlar and Berkin [72], Berk and Arreola-Risa [5], Snyder [91]), (Q,R) (Gupta [42], Parlar [71], Mohebbi [64, 65]), and (s,S) (Arreola-Risa and D”