How to cite this paper
Singhal, S & Singh, S. (2013). Volume flexible multi items inventory system with imprecise environment.International Journal of Industrial Engineering Computations , 4(4), 457-468.
Refrences
Bellman, R.E., & Zadeh, L.A. (1970). Decision making in a fuzzy environment. Management Science, 17, B141–B164.
Chakraborty, T., Giri, B.C., & Chaudhuri, K.S. (2008). Production lot sizing with process deterioration and machine breakdown. European Journal of Operational Research, 185, 606–618.
Chakraborty, T., Giri, B.C., & Chaudhuri, K.S. (2009). Production lot sizing with process deterioration and machine breakdown under inspection schedule. Omega, 37, 257 – 271.
Dey, J.K., Kar, S., & Maiti, M. (2005). An interactive method for inventory control with fuzzy lead-time and dynamic demand. European Journal of Operational Research, 167, 381–397.
Giri, B.C., & Dohi, T. (2005). Exact formulation of stochastic EMQ model for an unreliable production systems. Journal of the Operational Research Society, 56 (5), 563–575.
Goyal, S.K. (1991). Economic production of a product and replenishment of its raw materials. Engineering Costs and Production Economics, 21, 111- 115.
Goyal, S.K., & Giri, B.C. (2003). The production–inventory problem of a product with time varying demand, production and deterioration rates. European Journal of Operational Research, 147, 549–557.
Hsu, L.-F. (2012). A note on “an economic order quantity (EOQ) for items with imperfect quality and inspection errors”. International Journal of Industrial Engineering Computations, 3(4), 695-702
Mahapatra, N.K., & Maiti, M. (2005). Decision process for multi-objective, multi-item production-inventory system via interactive fuzzy satisficing technique. Computers and Mathematics with Applications, 49, 805–821.
Mahata, G. C., & Mahata, P. (2011). Analysis of a fuzzy economic order quantity model for deteriorating items under retailer partial trade credit financing in a supply chain. Mathematical and Computer Modelling, 53(9-10), 1621–1636.
Maity, K., & Maiti, M. (2008). A numerical approach to a multi-objective optimal inventory control problem for deteriorating multi-items under fuzzy inflation and discounting. Computers and Mathematics with Applications, 55, 1794–1807.
Padmanabhan, G., & Vrat, P. (1990). Analysis of multi-systems under resource constraint, a nonlinear goal programming approach. Engineering Cost and Production Management, 13, 104–112.
Roy, T.K., & Maiti, M. (1998). Multi-objective inventory models of deteriorating items with some constraints in a fuzzy environment. Computers and Operations Research, 25, 1085–1095.
Roy, T.K., & Maiti, M. (2000). A multi-item fuzzy displayed inventory model under limited shelf-space. The International Journal of Fuzzy Mathematics, 8, 881–888.
Shukla, H., Shukla, V & Yadava, S. (2013). EOQ model for deteriorating items with exponential demand rate and shortages. Uncertain Supply Chain Management, 1(2), 67-76.
Singh, S. R., Singh, A. P., & Bhatia, D. (2010). A Supply Chain Model with Variable Holding Cost for Flexible Manufacturing System. International Journal of Operations Research and Optimization, 1, 107-120.
Singh, S.R., & Singh, C. (2008). Fuzzy inventory model for finite rate of replenishment using signed distance method. International Transactions in Mathematical Sciences and Computer, 1, 1, 21–30.
Singh, S.R., 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.
Srinivasan, M.M., & Lee, H.S. (1996). Production-inventory systems with preventive maintenance. IIE Transactions, 28, 879–890.
Tse, E., & Makis, V. (1994). Optimization of the lot size and the time to replacement in a production system subject to random failure. In: Proceedings of the Third International Conference on Auto Tech, Taipei, Taiwan, 163–169.
Wang L., Fu, Q. L., & Zeng, Y. R. (2012). Continuous review inventory models with a mixture of backorders and lost sales under fuzzy demand and different decision situations, Expert Systems with Applications, 39(4), 4181–4189.
Wee, H.M., & Chung, S.L. (2005). An optimal production model for disposing excessive deteriorating stocks. Journal of the Chinese Institute of Industrial Engineers, 22(5), 369-378.
Xu, R., & Zhai, X. (2010). Manufacturer’s coordination mechanism for single-period supply chain problems with fuzzy demand. Mathematical and Computer Modelling, 51(5-6), 693–699.
Yao, J.S., & Wu, K. (1999). Consumer surplus and producer surplus for fuzzy demand and fuzzy supply. Fuzzy Sets and Systems, 103, 421–426.
Zadeh, L.A. (1965). Fuzzy sets. Information and Control, 8, 338–356.
Zimmermann, H.J. (1985). Description and optimization of fuzzy system. International Journal of General Systems, 2, 209–215.
Chakraborty, T., Giri, B.C., & Chaudhuri, K.S. (2008). Production lot sizing with process deterioration and machine breakdown. European Journal of Operational Research, 185, 606–618.
Chakraborty, T., Giri, B.C., & Chaudhuri, K.S. (2009). Production lot sizing with process deterioration and machine breakdown under inspection schedule. Omega, 37, 257 – 271.
Dey, J.K., Kar, S., & Maiti, M. (2005). An interactive method for inventory control with fuzzy lead-time and dynamic demand. European Journal of Operational Research, 167, 381–397.
Giri, B.C., & Dohi, T. (2005). Exact formulation of stochastic EMQ model for an unreliable production systems. Journal of the Operational Research Society, 56 (5), 563–575.
Goyal, S.K. (1991). Economic production of a product and replenishment of its raw materials. Engineering Costs and Production Economics, 21, 111- 115.
Goyal, S.K., & Giri, B.C. (2003). The production–inventory problem of a product with time varying demand, production and deterioration rates. European Journal of Operational Research, 147, 549–557.
Hsu, L.-F. (2012). A note on “an economic order quantity (EOQ) for items with imperfect quality and inspection errors”. International Journal of Industrial Engineering Computations, 3(4), 695-702
Mahapatra, N.K., & Maiti, M. (2005). Decision process for multi-objective, multi-item production-inventory system via interactive fuzzy satisficing technique. Computers and Mathematics with Applications, 49, 805–821.
Mahata, G. C., & Mahata, P. (2011). Analysis of a fuzzy economic order quantity model for deteriorating items under retailer partial trade credit financing in a supply chain. Mathematical and Computer Modelling, 53(9-10), 1621–1636.
Maity, K., & Maiti, M. (2008). A numerical approach to a multi-objective optimal inventory control problem for deteriorating multi-items under fuzzy inflation and discounting. Computers and Mathematics with Applications, 55, 1794–1807.
Padmanabhan, G., & Vrat, P. (1990). Analysis of multi-systems under resource constraint, a nonlinear goal programming approach. Engineering Cost and Production Management, 13, 104–112.
Roy, T.K., & Maiti, M. (1998). Multi-objective inventory models of deteriorating items with some constraints in a fuzzy environment. Computers and Operations Research, 25, 1085–1095.
Roy, T.K., & Maiti, M. (2000). A multi-item fuzzy displayed inventory model under limited shelf-space. The International Journal of Fuzzy Mathematics, 8, 881–888.
Shukla, H., Shukla, V & Yadava, S. (2013). EOQ model for deteriorating items with exponential demand rate and shortages. Uncertain Supply Chain Management, 1(2), 67-76.
Singh, S. R., Singh, A. P., & Bhatia, D. (2010). A Supply Chain Model with Variable Holding Cost for Flexible Manufacturing System. International Journal of Operations Research and Optimization, 1, 107-120.
Singh, S.R., & Singh, C. (2008). Fuzzy inventory model for finite rate of replenishment using signed distance method. International Transactions in Mathematical Sciences and Computer, 1, 1, 21–30.
Singh, S.R., 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.
Srinivasan, M.M., & Lee, H.S. (1996). Production-inventory systems with preventive maintenance. IIE Transactions, 28, 879–890.
Tse, E., & Makis, V. (1994). Optimization of the lot size and the time to replacement in a production system subject to random failure. In: Proceedings of the Third International Conference on Auto Tech, Taipei, Taiwan, 163–169.
Wang L., Fu, Q. L., & Zeng, Y. R. (2012). Continuous review inventory models with a mixture of backorders and lost sales under fuzzy demand and different decision situations, Expert Systems with Applications, 39(4), 4181–4189.
Wee, H.M., & Chung, S.L. (2005). An optimal production model for disposing excessive deteriorating stocks. Journal of the Chinese Institute of Industrial Engineers, 22(5), 369-378.
Xu, R., & Zhai, X. (2010). Manufacturer’s coordination mechanism for single-period supply chain problems with fuzzy demand. Mathematical and Computer Modelling, 51(5-6), 693–699.
Yao, J.S., & Wu, K. (1999). Consumer surplus and producer surplus for fuzzy demand and fuzzy supply. Fuzzy Sets and Systems, 103, 421–426.
Zadeh, L.A. (1965). Fuzzy sets. Information and Control, 8, 338–356.
Zimmermann, H.J. (1985). Description and optimization of fuzzy system. International Journal of General Systems, 2, 209–215.