How to cite this paper
Ghourchiany, S & Bafrouei, M. (2019). A multi-product inventory management model in a three-level supply chain with multiple members at each level.Uncertain Supply Chain Management, 7(1), 109-120.
Refrences
Abdul-Jalbar, B., Gutierrez, J. M., & Sicilia, J. (2007). An integrated inventory model for the single-vendor two-buyer problem. International Journal of Production Economics, 108(1-2), 246-258.
Banerjee, A., & Kim, S. L. (1995). An integrated JIT inventory model. International Journal of Operations & Production Management, 15(9), 237-244.
Banerjee, A., Kim, S. L., & Burton, J. (2007). Supply chain coordination through effective multi-stage inventory linkages in a JIT environment. International Journal of Production Economics, 108(1-2), 271-280.
Chen, T. H., & Chen, J. M. (2005). Optimizing supply chain collaboration based on joint replenishment and channel coordination. Transportation Research Part E: Logistics and Transportation Review, 41(4), 261-285.
Chen, J. M., & Chen, T. H. (2007). The profit-maximization model for a multi-item distribution channel. Transportation Research Part E: Logistics and Transportation Review, 43(4), 338-354.
Chen, J. M., Lin, I. C., & Cheng, H. L. (2010). Channel coordination under consignment and vendor-managed inventory in a distribution system. Transportation Research Part E: Logistics and Transportation Review, 46(6), 831-843.
Chung, K. J. (2008). A necessary and sufficient condition for the existence of the optimal solution of a single-vendor single-buyer integrated production-inventory model with process unreliability consideration. International Journal of Production Economics, 113(1), 269-274.
Glock, C. H. (2012). The joint economic lot size problem: A review. International Journal of Production Economics, 135(2), 671-686.
Glock, C. H., Grosse, E. H., & Ries, J. M. (2014). The lot sizing problem: A tertiary study. International Journal of Production Economics, 155, 39-51.
Jaber, M. Y., & Goyal, S. K. (2008). Coordinating a three-level supply chain with multiple suppliers, a vendor and multiple buyers. International Journal of Production Economics, 116(1), 95-103.
Kim, T., & Hong, Y. (2008). production allocation, lot-sizing, and shipment policies for multiple items in multiple production lines. International Journal of Production Research, 46(1), 289-294.
Kim, T., Hong, Y., & Chang, S. Y. (2006). Joint economic procurement—production–delivery policy for multiple items in a single-manufacturer, multiple-retailer system. International Journal of Production Economics, 103(1), 199-208.
Kim, T., Hong*, Y., & Lee, J. (2005). Joint economic production allocation and ordering policies in a supply chain consisting of multiple plants and a single retailer. International Journal of Production Research, 43(17), 3619-3632.
Kumar, N., & Kumar, S. (2016). Effect of learning and salvage worth on an inventory model for deteriorating items with inventory-dependent demand rate and partial backlogging with capability constraints. Uncertain Supply Chain Management, 4(2), 123-136.
Lee, W. (2005). A joint economic lot size model for raw material ordering, manufacturing setup, and finished goods delivering. Omega, 33(2), 163-174.
Mashud, A., Khan, M., Uddin, M., & Islam, M. (2018). A non-instantaneous inventory model having different deterioration rates with stock and price dependent demand under partially backlogged shortages. Uncertain Supply Chain Management, 6(1), 49-64.
Pal, B., Sana, S. S., & Chaudhuri, K. (2012). A three layer multi-item production–inventory model for multiple suppliers and retailers. Economic Modelling, 29(6), 2704-2710.
Pal, B., Sana, S. S., & Chaudhuri, K. (2014). A multi-echelon production–inventory system with supply disruption. Journal of Manufacturing Systems, 33(2), 262-276.
Pandey, R., Singh, S., Vaish, B., & Tayal, S. (2017). An EOQ model with quantity incentive strategy for deteriorating items and partial backlogging. Uncertain Supply Chain Management, 5(2), 135-142.
Rastogi, M., Singh, S., Kushwah, P., & Tayal, S. (2017). An EOQ model with variable holding cost and partial backlogging under credit limit policy and cash discount. Uncertain Supply Chain Management, 5(1), 27-42.
Roy, A., Sana, S. S., & Chaudhuri, K. (2012). Optimal replenishment order for uncertain demand in three layer supply chain. Economic Modelling, 29(6), 2274-2282.
Sana, S. S. (2012). A collaborating inventory model in a supply chain. Economic Modelling, 29(5), 2016-2023.
Sarker, B. R., & Balan, C. V. (1999). Operations planning for a multi-stage kanban system. European Journal of Operational Research, 112(2), 284-303.
Sarker, B. R., & Diponegoro, A. (2009). Optimal production plans and shipment schedules in a supply-chain system with multiple suppliers and multiple buyers. European Journal of Operational Research, 194(3), 753-773.
Seliaman, M. E. (2008). Optimizing inventory decisions in a multi-stage supply chain under stochastic demands. Applied Mathematics and Computation, 206(2), 538-542.
Shah, N. (2017). Retailer’s optimal policies for deteriorating items with a fixed lifetime under order-linked conditional trade credit. Uncertain Supply Chain Management, 5(2), 126-134.
Tripathi, R., & Kaur, M. (2017). EOQ model for non-decreasing time dependent deterioration and Decaying demand under non-increasing time shortages. Uncertain Supply Chain Management, 5(4), 327-336.
Wang, S., & Sarker, B. R. (2006). Optimal models for a multi-stage supply chain system controlled by kanban under just-in-time philosophy. European Journal of Operational Research, 172(1), 179-200.
Wang, S., & Sarker, B. R. (2005). An assembly-type supply chain system controlled by kanbans under a just-in-time delivery policy. European Journal of Operational Research, 162(1), 153-172.
Wee, H. M., & Yang, P. C. (2004). The optimal and heuristic solutions of a distribution network. European Journal of Operational Research, 158(3), 626-632.
Yang, P. C., Wee, H. M., & Yang, H. J. (2007). Global optimal policy for vendor–buyer integrated inventory system within just in time environment. Journal of Global Optimization, 37(4), 505-511.
Banerjee, A., & Kim, S. L. (1995). An integrated JIT inventory model. International Journal of Operations & Production Management, 15(9), 237-244.
Banerjee, A., Kim, S. L., & Burton, J. (2007). Supply chain coordination through effective multi-stage inventory linkages in a JIT environment. International Journal of Production Economics, 108(1-2), 271-280.
Chen, T. H., & Chen, J. M. (2005). Optimizing supply chain collaboration based on joint replenishment and channel coordination. Transportation Research Part E: Logistics and Transportation Review, 41(4), 261-285.
Chen, J. M., & Chen, T. H. (2007). The profit-maximization model for a multi-item distribution channel. Transportation Research Part E: Logistics and Transportation Review, 43(4), 338-354.
Chen, J. M., Lin, I. C., & Cheng, H. L. (2010). Channel coordination under consignment and vendor-managed inventory in a distribution system. Transportation Research Part E: Logistics and Transportation Review, 46(6), 831-843.
Chung, K. J. (2008). A necessary and sufficient condition for the existence of the optimal solution of a single-vendor single-buyer integrated production-inventory model with process unreliability consideration. International Journal of Production Economics, 113(1), 269-274.
Glock, C. H. (2012). The joint economic lot size problem: A review. International Journal of Production Economics, 135(2), 671-686.
Glock, C. H., Grosse, E. H., & Ries, J. M. (2014). The lot sizing problem: A tertiary study. International Journal of Production Economics, 155, 39-51.
Jaber, M. Y., & Goyal, S. K. (2008). Coordinating a three-level supply chain with multiple suppliers, a vendor and multiple buyers. International Journal of Production Economics, 116(1), 95-103.
Kim, T., & Hong, Y. (2008). production allocation, lot-sizing, and shipment policies for multiple items in multiple production lines. International Journal of Production Research, 46(1), 289-294.
Kim, T., Hong, Y., & Chang, S. Y. (2006). Joint economic procurement—production–delivery policy for multiple items in a single-manufacturer, multiple-retailer system. International Journal of Production Economics, 103(1), 199-208.
Kim, T., Hong*, Y., & Lee, J. (2005). Joint economic production allocation and ordering policies in a supply chain consisting of multiple plants and a single retailer. International Journal of Production Research, 43(17), 3619-3632.
Kumar, N., & Kumar, S. (2016). Effect of learning and salvage worth on an inventory model for deteriorating items with inventory-dependent demand rate and partial backlogging with capability constraints. Uncertain Supply Chain Management, 4(2), 123-136.
Lee, W. (2005). A joint economic lot size model for raw material ordering, manufacturing setup, and finished goods delivering. Omega, 33(2), 163-174.
Mashud, A., Khan, M., Uddin, M., & Islam, M. (2018). A non-instantaneous inventory model having different deterioration rates with stock and price dependent demand under partially backlogged shortages. Uncertain Supply Chain Management, 6(1), 49-64.
Pal, B., Sana, S. S., & Chaudhuri, K. (2012). A three layer multi-item production–inventory model for multiple suppliers and retailers. Economic Modelling, 29(6), 2704-2710.
Pal, B., Sana, S. S., & Chaudhuri, K. (2014). A multi-echelon production–inventory system with supply disruption. Journal of Manufacturing Systems, 33(2), 262-276.
Pandey, R., Singh, S., Vaish, B., & Tayal, S. (2017). An EOQ model with quantity incentive strategy for deteriorating items and partial backlogging. Uncertain Supply Chain Management, 5(2), 135-142.
Rastogi, M., Singh, S., Kushwah, P., & Tayal, S. (2017). An EOQ model with variable holding cost and partial backlogging under credit limit policy and cash discount. Uncertain Supply Chain Management, 5(1), 27-42.
Roy, A., Sana, S. S., & Chaudhuri, K. (2012). Optimal replenishment order for uncertain demand in three layer supply chain. Economic Modelling, 29(6), 2274-2282.
Sana, S. S. (2012). A collaborating inventory model in a supply chain. Economic Modelling, 29(5), 2016-2023.
Sarker, B. R., & Balan, C. V. (1999). Operations planning for a multi-stage kanban system. European Journal of Operational Research, 112(2), 284-303.
Sarker, B. R., & Diponegoro, A. (2009). Optimal production plans and shipment schedules in a supply-chain system with multiple suppliers and multiple buyers. European Journal of Operational Research, 194(3), 753-773.
Seliaman, M. E. (2008). Optimizing inventory decisions in a multi-stage supply chain under stochastic demands. Applied Mathematics and Computation, 206(2), 538-542.
Shah, N. (2017). Retailer’s optimal policies for deteriorating items with a fixed lifetime under order-linked conditional trade credit. Uncertain Supply Chain Management, 5(2), 126-134.
Tripathi, R., & Kaur, M. (2017). EOQ model for non-decreasing time dependent deterioration and Decaying demand under non-increasing time shortages. Uncertain Supply Chain Management, 5(4), 327-336.
Wang, S., & Sarker, B. R. (2006). Optimal models for a multi-stage supply chain system controlled by kanban under just-in-time philosophy. European Journal of Operational Research, 172(1), 179-200.
Wang, S., & Sarker, B. R. (2005). An assembly-type supply chain system controlled by kanbans under a just-in-time delivery policy. European Journal of Operational Research, 162(1), 153-172.
Wee, H. M., & Yang, P. C. (2004). The optimal and heuristic solutions of a distribution network. European Journal of Operational Research, 158(3), 626-632.
Yang, P. C., Wee, H. M., & Yang, H. J. (2007). Global optimal policy for vendor–buyer integrated inventory system within just in time environment. Journal of Global Optimization, 37(4), 505-511.