A continuous production-inventory problem with regeneration cycles

International Journal of Production Economics

Volumn 93-94, Issue SPEC.ISS., 2005, Pages 447-454

  Rempała, Ryszarda ^a  

^a INSTITUTE OF MATHEMATICS   (Poland)

Author keywords

Average cost; Inventory; Regeneration cycle; Switch over level

Indexed keywords

COSTS; FUNCTIONS; INTEGRATION; MATHEMATICAL MODELS; OPTIMIZATION; POISSON DISTRIBUTION; PRODUCTION ENGINEERING;

AVERAGE COSTS; INVENTORY; REGENERATION CYCLES; SWITCH-OVER LEVEL;

INVENTORY CONTROL;

EID: 9544255701     PISSN: 09255273     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijpe.2004.06.041     Document Type: Conference Paper

References (10)

1. Asmussen, S., 1987. Applied Probability and Queues. Wiley, New York.
2. Bazsa, E.M., Frenk, J.B.G., den Iseger, P.W., 2001. Modeling of inventory control with regenerative processes. International Journal of Production Economics 71, 263-276.
3. Bielecki, T., Kumar, P.R., 1987. Optimality of zero-inventory policies for unreliable manufacturing system. Operational Research 36, 532-541.
4. Gavish, B., Graves, S.C., 1980. A one-product production/inventory problem under continuous review policy. Operational Research 28, 1228-1236.
5. Hu, J.Q., Xiang, D., 1993. The queueing equivalence to manufacturing system with failures. IEEE Transactions on Automatic Control AC-38 (3), 499-502.
6. Liu, B., Cao, J., 1997. Production control of an unreliable manufacturing system under the assumption of no backlog. Mathematical Methods of Operational Research 46, 103-117.
7. Montgomery, D.C., Bazaraa, M.S., Keswani, A.K., 1973. Inventory models with a mixture of backorders and lost sales. Naval Research Logistics Quarterly 20, 255-263.
8. Perry, D., Levikson, B., 1989. Continuous production-inventory model with analogy to certain queueing and dam models. Advances in Applied Probability 21, 123-141.
9. Rempała, R., 2002. Two hedging points policy of an unreliable manufacturing system. Applicationes Mathematics 29 (3), 313-330.
10. Ross, S.M., 1983. Stochastic Processes. Wiley, New York.