How to cite this paper
Singh, S., Prasher, L & Saxena, N. (2013). A centralized reverse channel structure with flexible manufacturing under the stock out situation.International Journal of Industrial Engineering Computations , 4(4), 559-570.
Refrences
Alamri, A.A. (2010). Theory and methodology on the global optimal solution to a Reverse logistics inventory model for deteriorating items and time varying rates. Computer & Industrial Engineering, (60), 236-247.
Chung, C. J., & Wee, H. M. (2011). Short life-cycle deteriorating product remanufacturing in a green supply chain inventory control system. International Journal of Production Economics, 129(1), 195-203.
Dobos, I., & Richter, K. (2003). A production/recycling model with stationary demand and return rates. Central European journal of Operations Research, 11(1), 35-46.
Dobos, I., & Richter, K. (2004). An extended production/recycling model with stationary demand and return rates. International Journal of production Economics, 90(3), 311-323.
Dobos, I., & Richter, K. (2006). A production/recycling model with quality considerations. International Journal of Production Economics, 104(2), 571-579.
El Saadany A. M. A., & Jaber M. Y. (2010). A production/remanufacturing inventory model with price and quality dependant return rate. Computers and Industrial Engineering, 58(3), 352–362.
Giri, B. C. & Chaudhuri, K. S. (1998). Deterministic model of perishable inventory with stock-dependent demand rate and nonlinear holding cost. European Journal of Operations Research, 105, 467-474.
Gupta, R., & Vrat, P. (1986). Inventory models for stock dependent consumption rate. Opsearch, 23, 19-24.
Konstantaras, I., & Skouri, K. (2010). Lot sizing for a single product recovery system with variable set up numbers. European Journal of Operations Research, 203(2), 326-335.
Levin, R. I., Mclaughlin, C. P., Lamone, R. P., & Kottas, J. F. (1972). Production, Operations Management: Contemporary Policy for Managing Operation System. (Newyork: McGraw-hill), 373.
Mandal, B.N., & Phaujdar, S. (1989). An inventory model for deteriorating items and stock dependent consumption rate. Journal Operational Research Society, 40, 483–488.
Nahmias, N., & Rivera, H. (1979). A deterministic model for a repairable item inventory system with a finite repair rate. International Journal of Production Research, 17 (3), 215–221
Richter, K. (1996). The EOQ repair and waste disposal model with variable setup numbers. European Journal of Operational Research, 95(2), 313-324.
Richter, K, (1996b). The extended EOQ repair and waste disposal model. International Journal of Production Economics, 45(1-3), 443-447.
Richter, K., & Dobos, I. (1999). Analysis of the EOQ repair and waste disposal model with integer set up numbers. International journal of production economics, 59(1-3), 463-467.
Sana, S., Goyal, S.K., Chaudhuri K.S. (2004). A production-inventory model for a deteriorating item with trended demand and shortages. European Journal of Operational Research, 157 (2), 357–371.
Schrady, D.A. (1967). A deterministic inventory model for repairable items. Naval Research Logistics Quarterly, 14, 391–398.
Schweitzer, P. J., & Seidmann, A. (1991). Optimizing, processing rate for flexible manufacturing systems. Management Science, 37, 454-466.
Silver, E. A., & Peterson, R. (1985). Decision systems for inventory management and production planning, 2nd ed. (Newyork: Wiley).
Singh, S.R., Gupta, V., & Gupta, P. (2013).Three stage supply chain model with two warehouse, imperfect production, variable demand rate and inflation. International Journal of Industrial Engineering Computations, 4, 81–92.
Singh, S.R., & Jain R. (2009). On reserve money for an EOQ model in an inflationary environment under supplier credits. Opsearch, 46 (2), 352-369.
Singh, S. R., Kumar N., & Kumari, R. (2010). An inventory model for deteriorating items with shortages and stock-dependent demand under inflation for two-shops under one management. Opsearch, 47 (4), 311–329.
Singh, S. R., & Saxena N. (2012). An Optimal Returned Policy for a Reverse Logistics Inventory Model with Backorders. Advances in Decision Sciences, vol. 2012, Article ID 386598, 21 pages.
Singh, S. R. & Singh C. (2010). Supply chain model with stochastic lead time under imprecise partially backlogging and fuzzy ramp-type demand for expiring items. International Journal of Operational Research, 8(4), 511 - 522.
Teng, J. T. & Chang, C. T. (2005). Economic production quantity models for deteriorating items with price and stock-dependent demand. Computational Operations Research, 32 (2), 297-308.
Yadav, D., Singh, S. R., & Kumari R. (2012). Inventory model of deteriorating items with two-warehouse and stock dependent demand using genetic algorithm in fuzzy environment. Yugoslav Journal of Operations Research, 22 (1), 51-78.
Chung, C. J., & Wee, H. M. (2011). Short life-cycle deteriorating product remanufacturing in a green supply chain inventory control system. International Journal of Production Economics, 129(1), 195-203.
Dobos, I., & Richter, K. (2003). A production/recycling model with stationary demand and return rates. Central European journal of Operations Research, 11(1), 35-46.
Dobos, I., & Richter, K. (2004). An extended production/recycling model with stationary demand and return rates. International Journal of production Economics, 90(3), 311-323.
Dobos, I., & Richter, K. (2006). A production/recycling model with quality considerations. International Journal of Production Economics, 104(2), 571-579.
El Saadany A. M. A., & Jaber M. Y. (2010). A production/remanufacturing inventory model with price and quality dependant return rate. Computers and Industrial Engineering, 58(3), 352–362.
Giri, B. C. & Chaudhuri, K. S. (1998). Deterministic model of perishable inventory with stock-dependent demand rate and nonlinear holding cost. European Journal of Operations Research, 105, 467-474.
Gupta, R., & Vrat, P. (1986). Inventory models for stock dependent consumption rate. Opsearch, 23, 19-24.
Konstantaras, I., & Skouri, K. (2010). Lot sizing for a single product recovery system with variable set up numbers. European Journal of Operations Research, 203(2), 326-335.
Levin, R. I., Mclaughlin, C. P., Lamone, R. P., & Kottas, J. F. (1972). Production, Operations Management: Contemporary Policy for Managing Operation System. (Newyork: McGraw-hill), 373.
Mandal, B.N., & Phaujdar, S. (1989). An inventory model for deteriorating items and stock dependent consumption rate. Journal Operational Research Society, 40, 483–488.
Nahmias, N., & Rivera, H. (1979). A deterministic model for a repairable item inventory system with a finite repair rate. International Journal of Production Research, 17 (3), 215–221
Richter, K. (1996). The EOQ repair and waste disposal model with variable setup numbers. European Journal of Operational Research, 95(2), 313-324.
Richter, K, (1996b). The extended EOQ repair and waste disposal model. International Journal of Production Economics, 45(1-3), 443-447.
Richter, K., & Dobos, I. (1999). Analysis of the EOQ repair and waste disposal model with integer set up numbers. International journal of production economics, 59(1-3), 463-467.
Sana, S., Goyal, S.K., Chaudhuri K.S. (2004). A production-inventory model for a deteriorating item with trended demand and shortages. European Journal of Operational Research, 157 (2), 357–371.
Schrady, D.A. (1967). A deterministic inventory model for repairable items. Naval Research Logistics Quarterly, 14, 391–398.
Schweitzer, P. J., & Seidmann, A. (1991). Optimizing, processing rate for flexible manufacturing systems. Management Science, 37, 454-466.
Silver, E. A., & Peterson, R. (1985). Decision systems for inventory management and production planning, 2nd ed. (Newyork: Wiley).
Singh, S.R., Gupta, V., & Gupta, P. (2013).Three stage supply chain model with two warehouse, imperfect production, variable demand rate and inflation. International Journal of Industrial Engineering Computations, 4, 81–92.
Singh, S.R., & Jain R. (2009). On reserve money for an EOQ model in an inflationary environment under supplier credits. Opsearch, 46 (2), 352-369.
Singh, S. R., Kumar N., & Kumari, R. (2010). An inventory model for deteriorating items with shortages and stock-dependent demand under inflation for two-shops under one management. Opsearch, 47 (4), 311–329.
Singh, S. R., & Saxena N. (2012). An Optimal Returned Policy for a Reverse Logistics Inventory Model with Backorders. Advances in Decision Sciences, vol. 2012, Article ID 386598, 21 pages.
Singh, S. R. & Singh C. (2010). Supply chain model with stochastic lead time under imprecise partially backlogging and fuzzy ramp-type demand for expiring items. International Journal of Operational Research, 8(4), 511 - 522.
Teng, J. T. & Chang, C. T. (2005). Economic production quantity models for deteriorating items with price and stock-dependent demand. Computational Operations Research, 32 (2), 297-308.
Yadav, D., Singh, S. R., & Kumari R. (2012). Inventory model of deteriorating items with two-warehouse and stock dependent demand using genetic algorithm in fuzzy environment. Yugoslav Journal of Operations Research, 22 (1), 51-78.