TY - BOOK
T1 - Modeling stochastic lead times in multi-echelon systems
AU - Diks, E.B.
AU - Heijden, van der, M.C.
PY - 1996
Y1 - 1996
N2 - In many multi-echelon inventory systems the lead times are random variables. A common and reasonable assumption in most models is that replenishment orders do not cross, which implies that successive lead times are correlated. However, the process which generates such lead times is usually not well-defined, which is especially a problem for simulation modeling. In this paper we use results from queuing theory to define a set of simple lead time processes guaranteeing that (a) orders do not cross, and (b) prespecified means and variances of all lead times in the multi-echelon system are attained.
AB - In many multi-echelon inventory systems the lead times are random variables. A common and reasonable assumption in most models is that replenishment orders do not cross, which implies that successive lead times are correlated. However, the process which generates such lead times is usually not well-defined, which is especially a problem for simulation modeling. In this paper we use results from queuing theory to define a set of simple lead time processes guaranteeing that (a) orders do not cross, and (b) prespecified means and variances of all lead times in the multi-echelon system are attained.
M3 - Report
T3 - Memorandum COSOR
BT - Modeling stochastic lead times in multi-echelon systems
PB - Technische Universiteit Eindhoven
CY - Eindhoven
ER -