How to cite this paper
Jawla, P & Singh, S. (2016). Multi-item economic production quantity model for imperfect items with multiple production setups and rework under the effect of preservation technology and learning environment.International Journal of Industrial Engineering Computations , 7(4), 703-716.
Refrences
Belkaoui, A.R. (1986). The Learning Curve: A Management Accounting Tool. Quorum Books.
Chiu, Y. P. (2003). Determining the optimal lot size for the finite production model with random defective rate, the rework process, and backlogging.Engineering Optimization, 35(4), 427-437.
Crossman, E.R.F.W. (1959). A theory of acquisition of speed skill. Ergonomics, 2(2), 153–166.
Dar-El, E. (2000). Human Learning: From Learning Curves to Learning Organizations. Kluwer Academic Publishers, Dordrecht.
Dave, U., & Patel, L. K. (1981). (T,S_i) policy inventory model for deteriorating items with time proportional demand. Journal of the Operational Research Society, 32, 137–142.
Dye, C. Y. (2013). The effect of preservation technology investment on a non-instantaneous deteriorating inventory model. Omega, 41(5), 872-880.
Porteus, E. L. (1986). Optimal lot sizing, process quality improvement and setup cost reduction. Operations Research, 34(1), 137-144.
Feng, Y., & Viswanathan, S. (2011). A new lot-sizing heuristic for manufacturing systems with product recovery. International Journal of Production Economics, 133(1), 432-438.
Glock, C. H., & Jaber, M. Y. (2013). A multi-stage production-inventory model with learning and forgetting effects, rework and scrap. Computers & Industrial Engineering, 64(2), 708-720.
Lee, H. L., & Rosenblatt, M. J. (1987). Simultaneous determination of production cycle and inspection schedules in a production system.Management Science, 33(9), 1125-1136.
Hariga, M. (1996). Optimal EOQ models for deteriorating items with time-varying demand. Journal of the Operational Research Society, 47(10),1228-1246.
Hsu, P. H., Wee, H. M., & Teng, H. M. (2010). Preservation technology investment for deteriorating inventory. International Journal of Production Economics, 124(2), 388-394.
Inderfurth*, K., Lindner, G., & Rachaniotis, N. P. (2005). Lot sizing in a production system with rework and product deterioration. International Journal of Production Research, 43(7), 1355-1374.
Jaber, M. Y., & Khan, M. (2010). Managing yield by lot splitting in a serial production line with learning, rework and scrap. International Journal of Production Economics, 124(1), 32-39.
Jaber, M.Y., & Bonney, M. (2003). Lot sizing with learning and forgetting in set-ups and in product quality. International Journal of Production Economics, 83(1), 95–111.
Lai, E. L.-C. (1995). Learning-by-doing, technology choice, and export promotion. Review of International Economics, 3(2), 186–198.
Laprѐ, M.A., Mukherjee, A.S., & Van Wassenhove, L.N. (2000). Behind the learning curve: linking learning activities to waste reduction. Management Science, 46(5), 597–611.
Salameh, M. K., & Jaber, M. Y. (2000). Economic production quantity model for items with imperfect quality. International journal of production economics, 64(1), 59-64.
Sethi, A. K., & Sethi, S. P. (1990). Flexibility in manufacturing: a survey.International Journal of Flexible Manufacturing Systems, 2(4), 289-328.
Shastri, A., Singh, S. R., Yadav, D., & Gupta, S. (2014). Supply chain management for two-level trade credit financing with selling price dependent demand under the effect of preservation technology. International Journal of Procurement Management, 7(6), 695-718.
Singh, S. R., & Sharma, S. (2013). A global optimizing policy for decaying items with ramp-type demand rate under two-level trade credit financing taking account of preservation technology. Advances in Decision Sciences. http://dx.doi.org/10.1155/2013/126385 Article ID 126385, 12pp.
Singh, S.R., Vaish, B., & Singh, N. (2012). An economic production lot-size (EPLS) model with rework and flexibility under allowable shortages. International Journal of Procurement Management, 5(1), 104-122.
Teng, J. T., Chern, M. S., Yang, H. L., & Wang, Y. J. (1999). Deterministic lot-size inventory models with shortages and deterioration for fluctuating demand. Operations Research Letters, 24(1), 65-72.
Tsao, Y. C. (2016). Joint location, inventory, and preservation decisions for non-instantaneous deterioration items under delay in payments. International Journal of Systems Science, 47(3), 572-585.
Wright, T. P. (1936). Factors affecting the cost of airplanes. Journal of the Aeronautical Sciences, 3(4), 122-128.
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.
Yelle, L. E. (1979). The learning curve: Historical review and comprehensive survey. Decision Sciences, 10(2), 302-328.
Hayek, P. A., & Salameh, M. K. (2001). Production lot sizing with the reworking of imperfect quality items produced. Production Planning & Control, 12(6), 584-590.
Chiu, Y. P. (2003). Determining the optimal lot size for the finite production model with random defective rate, the rework process, and backlogging.Engineering Optimization, 35(4), 427-437.
Crossman, E.R.F.W. (1959). A theory of acquisition of speed skill. Ergonomics, 2(2), 153–166.
Dar-El, E. (2000). Human Learning: From Learning Curves to Learning Organizations. Kluwer Academic Publishers, Dordrecht.
Dave, U., & Patel, L. K. (1981). (T,S_i) policy inventory model for deteriorating items with time proportional demand. Journal of the Operational Research Society, 32, 137–142.
Dye, C. Y. (2013). The effect of preservation technology investment on a non-instantaneous deteriorating inventory model. Omega, 41(5), 872-880.
Porteus, E. L. (1986). Optimal lot sizing, process quality improvement and setup cost reduction. Operations Research, 34(1), 137-144.
Feng, Y., & Viswanathan, S. (2011). A new lot-sizing heuristic for manufacturing systems with product recovery. International Journal of Production Economics, 133(1), 432-438.
Glock, C. H., & Jaber, M. Y. (2013). A multi-stage production-inventory model with learning and forgetting effects, rework and scrap. Computers & Industrial Engineering, 64(2), 708-720.
Lee, H. L., & Rosenblatt, M. J. (1987). Simultaneous determination of production cycle and inspection schedules in a production system.Management Science, 33(9), 1125-1136.
Hariga, M. (1996). Optimal EOQ models for deteriorating items with time-varying demand. Journal of the Operational Research Society, 47(10),1228-1246.
Hsu, P. H., Wee, H. M., & Teng, H. M. (2010). Preservation technology investment for deteriorating inventory. International Journal of Production Economics, 124(2), 388-394.
Inderfurth*, K., Lindner, G., & Rachaniotis, N. P. (2005). Lot sizing in a production system with rework and product deterioration. International Journal of Production Research, 43(7), 1355-1374.
Jaber, M. Y., & Khan, M. (2010). Managing yield by lot splitting in a serial production line with learning, rework and scrap. International Journal of Production Economics, 124(1), 32-39.
Jaber, M.Y., & Bonney, M. (2003). Lot sizing with learning and forgetting in set-ups and in product quality. International Journal of Production Economics, 83(1), 95–111.
Lai, E. L.-C. (1995). Learning-by-doing, technology choice, and export promotion. Review of International Economics, 3(2), 186–198.
Laprѐ, M.A., Mukherjee, A.S., & Van Wassenhove, L.N. (2000). Behind the learning curve: linking learning activities to waste reduction. Management Science, 46(5), 597–611.
Salameh, M. K., & Jaber, M. Y. (2000). Economic production quantity model for items with imperfect quality. International journal of production economics, 64(1), 59-64.
Sethi, A. K., & Sethi, S. P. (1990). Flexibility in manufacturing: a survey.International Journal of Flexible Manufacturing Systems, 2(4), 289-328.
Shastri, A., Singh, S. R., Yadav, D., & Gupta, S. (2014). Supply chain management for two-level trade credit financing with selling price dependent demand under the effect of preservation technology. International Journal of Procurement Management, 7(6), 695-718.
Singh, S. R., & Sharma, S. (2013). A global optimizing policy for decaying items with ramp-type demand rate under two-level trade credit financing taking account of preservation technology. Advances in Decision Sciences. http://dx.doi.org/10.1155/2013/126385 Article ID 126385, 12pp.
Singh, S.R., Vaish, B., & Singh, N. (2012). An economic production lot-size (EPLS) model with rework and flexibility under allowable shortages. International Journal of Procurement Management, 5(1), 104-122.
Teng, J. T., Chern, M. S., Yang, H. L., & Wang, Y. J. (1999). Deterministic lot-size inventory models with shortages and deterioration for fluctuating demand. Operations Research Letters, 24(1), 65-72.
Tsao, Y. C. (2016). Joint location, inventory, and preservation decisions for non-instantaneous deterioration items under delay in payments. International Journal of Systems Science, 47(3), 572-585.
Wright, T. P. (1936). Factors affecting the cost of airplanes. Journal of the Aeronautical Sciences, 3(4), 122-128.
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.
Yelle, L. E. (1979). The learning curve: Historical review and comprehensive survey. Decision Sciences, 10(2), 302-328.
Hayek, P. A., & Salameh, M. K. (2001). Production lot sizing with the reworking of imperfect quality items produced. Production Planning & Control, 12(6), 584-590.