Article ID: | iaor200976 |
Country: | United Kingdom |
Volume: | 36 |
Issue: | 1 |
Start Page Number: | 122 |
End Page Number: | 130 |
Publication Date: | Feb 2008 |
Journal: | OMEGA |
Authors: | Sounderpandian Jayavel, Prasad Sameer, Madan Manu |
Keywords: | supply & supply chains, forestry, programming: probabilistic, simulation: applications, developing countries |
When raw material suppliers of a global supply chain are situated in developing countries, not only will there be long lead times but there could also be a possibility of material losses in transit. The magnitude of the losses will be uncertain and can be significant. We consider the optimization of order quantity decisions in such situations. The long lead times imply that we need to take into account the uncertainty in finished goods demands for which the raw materials are to be ordered. The order quantities have to be optimized carefully as they determine the ‘real options’ that become available later in production plans. Using data from the plywood industry and using stochastic programming we demonstrate a method for solving such problems.