Department of Industrial Engineering,Tarbiat Modares University
Abstract
Under stochastic demand in the multi-stage SCM in a JIT environment, the probability
of generating a function of the stationary distributions of the backlogged demand was extended. The
batch size of WIPs has a great impact on the packing, unpacking or transferring costs of a chain; it
has been attempted to integrate the delivery batch size of each plant in a multi-stage serial chain with
the production-ordering and supplier kanbans of the chain. An algorithm was developed to evaluate the
optimal numbers of kanbans and batch sizes of each plant by minimizing the total cost of a chain. A
numerical example is also provided to indicate the signi cance of adding the proposed assumptions, as
well as demonstrating the approach adopted towards solving the problem.
Chaharsooghi, S., & Sajedinejad, A. (2010). Determination of the Number of Kanbans and Batch Sizes in a JIT Supply Chain System. (e3363). Scientia Iranica, 17(2), e3363
MLA
Chaharsooghi, S., & Sajedinejad, A. "Determination of the Number of Kanbans and Batch Sizes in a JIT Supply Chain System" .e3363 , Scientia Iranica, 17, 2, 2010, e3363.
HARVARD
Chaharsooghi S., Sajedinejad A. (2010). 'Determination of the Number of Kanbans and Batch Sizes in a JIT Supply Chain System', Scientia Iranica, 17(2), e3363.
CHICAGO
S. Chaharsooghi & A. Sajedinejad, "Determination of the Number of Kanbans and Batch Sizes in a JIT Supply Chain System," Scientia Iranica, 17 2 (2010): e3363,
VANCOUVER
Chaharsooghi S., Sajedinejad A. Determination of the Number of Kanbans and Batch Sizes in a JIT Supply Chain System. Scientia Iranica. 2010;17(2):e3363.
