Simulation Modeling for Analysis of a (Q, r) Inventory System under Supply Disruption and Customer Differentiation with Partial Backordering
We have modeled a new (Q, r) inventory system which involves a single product, a supplier, and a retailer with customer differentiation under continuous review inventory policy. The supplier provides the retailer with all requirements, and the retailer sells products to the customers. The supplying...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2012-01-01
|
| Series: | Modelling and Simulation in Engineering |
| Online Access: | http://dx.doi.org/10.1155/2012/103258 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832567390999674880 |
|---|---|
| author | Parham Azimi Mohammad Reza Ghanbari Hasan Mohammadi |
| author_facet | Parham Azimi Mohammad Reza Ghanbari Hasan Mohammadi |
| author_sort | Parham Azimi |
| collection | DOAJ |
| description | We have modeled a new (Q, r) inventory system which involves a single product, a supplier, and a retailer with customer differentiation under continuous review inventory policy. The supplier provides the retailer with all requirements, and the retailer sells products to the customers. The supplying process is randomly subject to disruptions. Partial backordering is applied when a stock out occurs, and customer can select either to leave the system without purchasing or to backorder products. The customers are categorized into two main classes regarding to their backordering probabilities. The main contribution of this paper is including the customer differentiation in the inventory model. We used simulation technique to verify the impact of supply disruptions and customer differentiation and carried out sensitivity analysis. To test the performance of the model, we have compared our model to one from the latest related research. As the results show, the average of total annual cost of the (Q, r) inventory system is lower than that of the previously developed models such as (r, T) inventory systems. |
| format | Article |
| id | doaj-art-98f172d0b714408687dfcde1dbb3fee8 |
| institution | Kabale University |
| issn | 1687-5591 1687-5605 |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Modelling and Simulation in Engineering |
| spelling | doaj-art-98f172d0b714408687dfcde1dbb3fee82025-02-03T01:01:33ZengWileyModelling and Simulation in Engineering1687-55911687-56052012-01-01201210.1155/2012/103258103258Simulation Modeling for Analysis of a (Q, r) Inventory System under Supply Disruption and Customer Differentiation with Partial BackorderingParham Azimi0Mohammad Reza Ghanbari1Hasan Mohammadi2Department of Industrial and Mechanical Engineenng, Qazvin Branch, Islamic Azad University, Barajin, Daneshgah St., Nokhbegan Blvd., P.O. Box 34185141, Qazvin, IranDepartment of Industrial and Mechanical Engineenng, Qazvin Branch, Islamic Azad University, Barajin, Daneshgah St., Nokhbegan Blvd., P.O. Box 34185141, Qazvin, IranDepartment of Industrial and Mechanical Engineenng, Qazvin Branch, Islamic Azad University, Barajin, Daneshgah St., Nokhbegan Blvd., P.O. Box 34185141, Qazvin, IranWe have modeled a new (Q, r) inventory system which involves a single product, a supplier, and a retailer with customer differentiation under continuous review inventory policy. The supplier provides the retailer with all requirements, and the retailer sells products to the customers. The supplying process is randomly subject to disruptions. Partial backordering is applied when a stock out occurs, and customer can select either to leave the system without purchasing or to backorder products. The customers are categorized into two main classes regarding to their backordering probabilities. The main contribution of this paper is including the customer differentiation in the inventory model. We used simulation technique to verify the impact of supply disruptions and customer differentiation and carried out sensitivity analysis. To test the performance of the model, we have compared our model to one from the latest related research. As the results show, the average of total annual cost of the (Q, r) inventory system is lower than that of the previously developed models such as (r, T) inventory systems.http://dx.doi.org/10.1155/2012/103258 |
| spellingShingle | Parham Azimi Mohammad Reza Ghanbari Hasan Mohammadi Simulation Modeling for Analysis of a (Q, r) Inventory System under Supply Disruption and Customer Differentiation with Partial Backordering Modelling and Simulation in Engineering |
| title | Simulation Modeling for Analysis of a (Q, r) Inventory System under Supply Disruption and Customer Differentiation with Partial Backordering |
| title_full | Simulation Modeling for Analysis of a (Q, r) Inventory System under Supply Disruption and Customer Differentiation with Partial Backordering |
| title_fullStr | Simulation Modeling for Analysis of a (Q, r) Inventory System under Supply Disruption and Customer Differentiation with Partial Backordering |
| title_full_unstemmed | Simulation Modeling for Analysis of a (Q, r) Inventory System under Supply Disruption and Customer Differentiation with Partial Backordering |
| title_short | Simulation Modeling for Analysis of a (Q, r) Inventory System under Supply Disruption and Customer Differentiation with Partial Backordering |
| title_sort | simulation modeling for analysis of a q r inventory system under supply disruption and customer differentiation with partial backordering |
| url | http://dx.doi.org/10.1155/2012/103258 |
| work_keys_str_mv | AT parhamazimi simulationmodelingforanalysisofaqrinventorysystemundersupplydisruptionandcustomerdifferentiationwithpartialbackordering AT mohammadrezaghanbari simulationmodelingforanalysisofaqrinventorysystemundersupplydisruptionandcustomerdifferentiationwithpartialbackordering AT hasanmohammadi simulationmodelingforanalysisofaqrinventorysystemundersupplydisruptionandcustomerdifferentiationwithpartialbackordering |