How to cite this paper
Sekar, T & Uthayakumar, R. (2017). A multi-production inventory model for deteriorating items considering penalty and environmental pollution cost with failure rework.Uncertain Supply Chain Management, 5(3), 229-242.
Refrences
Barketau, M. S., Cheng, T. E., & Kovalyov, M. Y. (2008). Batch scheduling of deteriorating reworkables. European Journal of Operational Research, 189(3), 1317-1326.
Drury, C. G. (1978). Integrating human factors models into statistical quality control. Human Factors: The Journal of the Human Factors and Ergonomics Society, 20(5), 561-572.
Drury, C. G., & Prabhu, P. V., (1994). Human factors in test and inspection. In G. Salvendy & W. Karwowski (Eds.), Design of work and development of personnel in advanced manufacturing (pp. 355–401). New York: John Wiley & Sons Inc.
Hsu, L. F., & Hsu, J. T. (2016). Economic production quantity (EPQ) models under an imperfect production process with shortages backordered. International Journal of Systems Science, 47(4), 852-867.
Jaggi, C. K., Tiwari, S., & Shafi, A. (2015). Effect of deterioration on two-warehouse inventory model with imperfect quality. Computers & Industrial Engineering, 88, 378-385.
Jaggi, C., Khanna, A., & Nidhi, N. (2016a). Effects of inflation and time value of money on an inventory system with deteriorating items and partially backlogged shortages. International Journal of Industrial Engineering Computations, 7(2), 267-282.
Jaggi, C., Tiwari, S., & Goel, S. (2016b). Replenishment policy for non-instantaneous deteriorating items in a two storage facilities under inflationary conditions. International Journal of Industrial Engineering Computations, 7(3), 489-506.
Khouja, M. (2000). The economic lot and delivery scheduling problem: common cycle, rework, and variable production rate. IIE Transactions, 32(8), 715-725.
Kaliraman, N.K., Raj, R., Chandra, S., & Chaudhry, H. (2015). An EPQ inventory model for deteriorating items with Weibull deterioration under stock dependent demand. International Journal of Scientific & Technology Research, 4(1), 232-236.
Khanna, A., Kishore, A., & Jaggi, C. (2017). Strategic production modeling for defective items with imperfect inspection process, rework, and sales return under two-level trade credit. International Journal of Industrial Engineering Computations, 8(1), 85-118.
Kumar, M., Chauhan, A., & Kumar, P. (2011). Economic production lot size model with stochastic demand and shortage partial backlogging rate under imperfect quality items. International Journal of Advanced Science and Technology (IJAST), 31(1), 1-22.
Kumar, S., & Rajput, U. S. (2016). A Probabilistic Inventory Model for Deteriorating Items with Ramp Type Demand Rate under Inflation. American Journal of Operational Research, 6(1), 16-31.
Mishra, V. K., Singh, L. S., & Kumar, R. (2013). An inventory model for deteriorating items with time-dependent demand and time-varying holding cost under partial backlogging. Journal of Industrial Engineering International, 9(1), 1-5.
Mukhopadhyay, A., & Goswami, A. (2013). Economic Production Quantity (EPQ) model for three type imperfect items with rework and learning in setup. An International Journal of Optimization and Control: Theories & Applications (IJOCTA), 4(1), 57-65.
Pal, S., Mahapatra, G. S., & Samanta, G. P. (2014). An EPQ model of ramp type demand with Weibull deterioration under inflation and finite horizon in crisp and fuzzy environment. International Journal of Production Economics, 156, 159-166.
Pal, S., Mahapatra, G. S., & Samanta, G. P. (2015). A production inventory model for deteriorating item with ramp type demand allowing inflation and shortages under fuzziness. Economic Modelling, 46, 334-345.
Rastogi, M., Singh, S., Kushwah, P., & Tayal, S. (2017). Two warehouse inventory policy with price dependent demand and deterioration under partial backlogging. Decision Science Letters, 6(1), 11-22.
Rezaei, J., & Salimi, N. (2012). Economic order quantity and purchasing price for items with imperfect quality when inspection shifts from buyer to supplier. International Journal of Production Economics, 137(1), 11-18.
Sangal, I., Agarwal, A., & Rani, S. (2016). A fuzzy environment inventory model with partial backlogging under learning effect. International Journal of Computer Applications, 137, 25-32.
Sarkar, B., Cárdenas-Barrón, L. E., Sarkar, M., & Singgih, M. L. (2014). An economic production quantity model with random defective rate, rework process and backorders for a single stage production system. Journal of Manufacturing Systems, 33(3), 423-435.
Schrady, D. A. (1967). A deterministic inventory model for reparable items. Naval Research Logistics Quarterly, 14(3), 391-398.
Shukla, H., Tripathi, R., & Sang, N. (2016). Economic production quantity model for defective items under deterioration. Uncertain Supply Chain Management, 4(3), 221-232.
Singh, S., Jain, S., & Pareek, S. (2014). An economic production model for time dependent demand with rework and multiple production setups. International Journal of Industrial Engineering Computations, 5(2), 305-314.
Singh, S.R., Agarwal, A., & Rani. S. (2015). Mathematical production inventory model for deteriorating items with time dependent demand rate under the effect of inflation and shortages. International Journal of Computer & Mathematical Sciences, 4, 138-148.
Tai, A. H. (2013). Economic production quantity models for deteriorating/imperfect products and service with rework. Computers & Industrial Engineering, 66(4), 879-88.
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.
Yassine, A., Maddah, B.,& Salameh, M., (2012). Disaggregation and consolidation of imperfect quality shipments in an extended EPQ model. International Journal of Production Economics, 135(1), 345–52.
Yoo, S. H., Kim, D., & Park, M. S. (2009). Economic production quantity model with imperfect-quality items, two-way imperfect inspection and sales return. International Journal of Production Economics, 121(1), 255-265.
Zhou, Y., Chen, C., Li, C., & Zhong, Y. (2016). A synergic economic order quantity model with trade credit, shortages, imperfect quality and inspection errors. Applied Mathematical Modelling, 40(2), 1012-1028.
Drury, C. G. (1978). Integrating human factors models into statistical quality control. Human Factors: The Journal of the Human Factors and Ergonomics Society, 20(5), 561-572.
Drury, C. G., & Prabhu, P. V., (1994). Human factors in test and inspection. In G. Salvendy & W. Karwowski (Eds.), Design of work and development of personnel in advanced manufacturing (pp. 355–401). New York: John Wiley & Sons Inc.
Hsu, L. F., & Hsu, J. T. (2016). Economic production quantity (EPQ) models under an imperfect production process with shortages backordered. International Journal of Systems Science, 47(4), 852-867.
Jaggi, C. K., Tiwari, S., & Shafi, A. (2015). Effect of deterioration on two-warehouse inventory model with imperfect quality. Computers & Industrial Engineering, 88, 378-385.
Jaggi, C., Khanna, A., & Nidhi, N. (2016a). Effects of inflation and time value of money on an inventory system with deteriorating items and partially backlogged shortages. International Journal of Industrial Engineering Computations, 7(2), 267-282.
Jaggi, C., Tiwari, S., & Goel, S. (2016b). Replenishment policy for non-instantaneous deteriorating items in a two storage facilities under inflationary conditions. International Journal of Industrial Engineering Computations, 7(3), 489-506.
Khouja, M. (2000). The economic lot and delivery scheduling problem: common cycle, rework, and variable production rate. IIE Transactions, 32(8), 715-725.
Kaliraman, N.K., Raj, R., Chandra, S., & Chaudhry, H. (2015). An EPQ inventory model for deteriorating items with Weibull deterioration under stock dependent demand. International Journal of Scientific & Technology Research, 4(1), 232-236.
Khanna, A., Kishore, A., & Jaggi, C. (2017). Strategic production modeling for defective items with imperfect inspection process, rework, and sales return under two-level trade credit. International Journal of Industrial Engineering Computations, 8(1), 85-118.
Kumar, M., Chauhan, A., & Kumar, P. (2011). Economic production lot size model with stochastic demand and shortage partial backlogging rate under imperfect quality items. International Journal of Advanced Science and Technology (IJAST), 31(1), 1-22.
Kumar, S., & Rajput, U. S. (2016). A Probabilistic Inventory Model for Deteriorating Items with Ramp Type Demand Rate under Inflation. American Journal of Operational Research, 6(1), 16-31.
Mishra, V. K., Singh, L. S., & Kumar, R. (2013). An inventory model for deteriorating items with time-dependent demand and time-varying holding cost under partial backlogging. Journal of Industrial Engineering International, 9(1), 1-5.
Mukhopadhyay, A., & Goswami, A. (2013). Economic Production Quantity (EPQ) model for three type imperfect items with rework and learning in setup. An International Journal of Optimization and Control: Theories & Applications (IJOCTA), 4(1), 57-65.
Pal, S., Mahapatra, G. S., & Samanta, G. P. (2014). An EPQ model of ramp type demand with Weibull deterioration under inflation and finite horizon in crisp and fuzzy environment. International Journal of Production Economics, 156, 159-166.
Pal, S., Mahapatra, G. S., & Samanta, G. P. (2015). A production inventory model for deteriorating item with ramp type demand allowing inflation and shortages under fuzziness. Economic Modelling, 46, 334-345.
Rastogi, M., Singh, S., Kushwah, P., & Tayal, S. (2017). Two warehouse inventory policy with price dependent demand and deterioration under partial backlogging. Decision Science Letters, 6(1), 11-22.
Rezaei, J., & Salimi, N. (2012). Economic order quantity and purchasing price for items with imperfect quality when inspection shifts from buyer to supplier. International Journal of Production Economics, 137(1), 11-18.
Sangal, I., Agarwal, A., & Rani, S. (2016). A fuzzy environment inventory model with partial backlogging under learning effect. International Journal of Computer Applications, 137, 25-32.
Sarkar, B., Cárdenas-Barrón, L. E., Sarkar, M., & Singgih, M. L. (2014). An economic production quantity model with random defective rate, rework process and backorders for a single stage production system. Journal of Manufacturing Systems, 33(3), 423-435.
Schrady, D. A. (1967). A deterministic inventory model for reparable items. Naval Research Logistics Quarterly, 14(3), 391-398.
Shukla, H., Tripathi, R., & Sang, N. (2016). Economic production quantity model for defective items under deterioration. Uncertain Supply Chain Management, 4(3), 221-232.
Singh, S., Jain, S., & Pareek, S. (2014). An economic production model for time dependent demand with rework and multiple production setups. International Journal of Industrial Engineering Computations, 5(2), 305-314.
Singh, S.R., Agarwal, A., & Rani. S. (2015). Mathematical production inventory model for deteriorating items with time dependent demand rate under the effect of inflation and shortages. International Journal of Computer & Mathematical Sciences, 4, 138-148.
Tai, A. H. (2013). Economic production quantity models for deteriorating/imperfect products and service with rework. Computers & Industrial Engineering, 66(4), 879-88.
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.
Yassine, A., Maddah, B.,& Salameh, M., (2012). Disaggregation and consolidation of imperfect quality shipments in an extended EPQ model. International Journal of Production Economics, 135(1), 345–52.
Yoo, S. H., Kim, D., & Park, M. S. (2009). Economic production quantity model with imperfect-quality items, two-way imperfect inspection and sales return. International Journal of Production Economics, 121(1), 255-265.
Zhou, Y., Chen, C., Li, C., & Zhong, Y. (2016). A synergic economic order quantity model with trade credit, shortages, imperfect quality and inspection errors. Applied Mathematical Modelling, 40(2), 1012-1028.