Effect of lead-time variations on the operations of supply chain networks.
Date of Award
Industrial and Manufacturing Systems Engineering
CC BY-NC-ND 4.0
This thesis focuses on analyzing the value of information sharing on supply chain network. A multi-stage, multi-period, multi-product, inventory-planning model with seasonal demand is used to study the impact of information sharing and lead-time variations on the operational costs of supply chain network. A mixed-integer programming model is used to integrate the production and distribution planning processes throughout the supply chain. The results of the model confirm that using updated demand information may cause a considerable reduction in the forecast errors which has an order-of-magnitude effect on overall cost reduction throughout the supply chain. Paremetric analysis is performed to study the impact of lead-time variations on the operational costs of the supply chain network which leads to the conclusion that lead-time variations have a significant effect on the inventory and safety stock levels, and as a result on the overall system cost in a supply chain network. (Abstract shortened by UMI.)Dept. of Industrial and Manufacturing Systems Engineering. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2005 .M346. Source: Masters Abstracts International, Volume: 44-01, page: 0508. Thesis (M.A.Sc.)--University of Windsor (Canada), 2005.
Mahmoudi, Niloofar., "Effect of lead-time variations on the operations of supply chain networks." (2005). Electronic Theses and Dissertations. 1824.