How to cite this paper
Luong, H & Karim, R. (2017). An integrated production inventory model of deteriorating items subject to random machine breakdown with a stochastic repair time.International Journal of Industrial Engineering Computations , 8(2), 217-236.
Refrences
Berk, E., & Gürler, Ü. (2008). Analysis of the (Q, r) inventory model for perishables with positive lead times and lost sales. Operations Research,56(5), 1238-1246.
Chiu, S. W., Wang, S. L., & Chiu, Y. S. P. (2007). Determining the optimal run time for EPQ model with scrap, rework, and stochastic breakdowns.European Journal of Operational Research, 180(2), 664-676..
Chiu, Y. S. P., Lin, H. D., & Chang, H. H. (2011). Mathematical modeling for solving manufacturing run time problem with defective rate and random machine breakdown. Computers & Industrial Engineering, 60(4), 576-584.
Gürler, Ü., & Özkaya, B. Y. (2003). A note on “continuous review perishable inventory systems: models & heuristics”. IIE Transactions, 35(3), 321-323.
Gürler, Ü., & Özkaya, B. Y. (2008). Analysis of the (s, S) policy for perishables with a random shelf life. IIe Transactions, 40(8), 759-781.
He, Y., Wang, S. Y., & Lai, K. K. (2010). An optimal production-inventory model for deteriorating items with multiple-market demand. European Journal of Operational Research, 203(3), 593-600.
Liu, L., & Lian, Z. (1999). (s, S) continuous review models for products with fixed lifetimes. Operations Research, 47(1), 150-158.
Lin, G. C., & Gong, D. C. (2006). On a production-inventory system of deteriorating items subject to random machine breakdowns with a fixed repair time. Mathematical and Computer Modelling, 43(7), 920-932.
Nahmias, S. (2011). Perishable inventory systems (Vol. 160). Springer Science & Business Media.
Rau, H., Wu, M. Y., & Wee, H. M. (2003). Integrated inventory model for deteriorating items under a multi-echelon supply chain environment.International journal of production economics, 86(2), 155-168.
Tekin, E., Gürler, Ü., & Berk, E. (2001). Age-based vs. stock level control policies for a perishable inventory system. European Journal of Operational Research, 134(2), 309-329.
Tersine, R.J. (1994). Principles of Inventory & Materials Management. Prentice-Hall International.
Weiss, H. J. (1980). Optimal ordering policies for continuous review perishable inventory models. Operations Research, 28(2), 365-374.
Widyadana, G. A., & Wee, H. M. (2011). Optimal deteriorating items production inventory models with random machine breakdown and stochastic repair time. Applied Mathematical Modelling, 35(7), 3495-3508.
Widyadana, G. A., & Wee, H. M. (2012). An economic production quantity model for deteriorating items with multiple production setups and rework.International Journal of Production Economics, 138(1), 62-67.
Yang, P. C., & Wee, H. M. (2003). An integrated multi-lot-size production inventory model for deteriorating item. Computers & Operations Research,30(5), 671-682.
Chiu, S. W., Wang, S. L., & Chiu, Y. S. P. (2007). Determining the optimal run time for EPQ model with scrap, rework, and stochastic breakdowns.European Journal of Operational Research, 180(2), 664-676..
Chiu, Y. S. P., Lin, H. D., & Chang, H. H. (2011). Mathematical modeling for solving manufacturing run time problem with defective rate and random machine breakdown. Computers & Industrial Engineering, 60(4), 576-584.
Gürler, Ü., & Özkaya, B. Y. (2003). A note on “continuous review perishable inventory systems: models & heuristics”. IIE Transactions, 35(3), 321-323.
Gürler, Ü., & Özkaya, B. Y. (2008). Analysis of the (s, S) policy for perishables with a random shelf life. IIe Transactions, 40(8), 759-781.
He, Y., Wang, S. Y., & Lai, K. K. (2010). An optimal production-inventory model for deteriorating items with multiple-market demand. European Journal of Operational Research, 203(3), 593-600.
Liu, L., & Lian, Z. (1999). (s, S) continuous review models for products with fixed lifetimes. Operations Research, 47(1), 150-158.
Lin, G. C., & Gong, D. C. (2006). On a production-inventory system of deteriorating items subject to random machine breakdowns with a fixed repair time. Mathematical and Computer Modelling, 43(7), 920-932.
Nahmias, S. (2011). Perishable inventory systems (Vol. 160). Springer Science & Business Media.
Rau, H., Wu, M. Y., & Wee, H. M. (2003). Integrated inventory model for deteriorating items under a multi-echelon supply chain environment.International journal of production economics, 86(2), 155-168.
Tekin, E., Gürler, Ü., & Berk, E. (2001). Age-based vs. stock level control policies for a perishable inventory system. European Journal of Operational Research, 134(2), 309-329.
Tersine, R.J. (1994). Principles of Inventory & Materials Management. Prentice-Hall International.
Weiss, H. J. (1980). Optimal ordering policies for continuous review perishable inventory models. Operations Research, 28(2), 365-374.
Widyadana, G. A., & Wee, H. M. (2011). Optimal deteriorating items production inventory models with random machine breakdown and stochastic repair time. Applied Mathematical Modelling, 35(7), 3495-3508.
Widyadana, G. A., & Wee, H. M. (2012). An economic production quantity model for deteriorating items with multiple production setups and rework.International Journal of Production Economics, 138(1), 62-67.
Yang, P. C., & Wee, H. M. (2003). An integrated multi-lot-size production inventory model for deteriorating item. Computers & Operations Research,30(5), 671-682.