Vichai Rungreunganaun and Chirawat Woarawichai
Applying Genetic Algorithms for Inventory LotSizing Problem with Supplier Selection under Storage Space
213 - 218
2013
7
2
International Journal of Industrial and Manufacturing Engineering
https://publications.waset.org/pdf/7361
https://publications.waset.org/vol/74
World Academy of Science, Engineering and Technology
The objective of this research is to calculate the
optimal inventory lotsizing for each supplier and minimize the total
inventory cost which includes joint purchase cost of the products,
transaction cost for the suppliers, and holding cost for remaining
inventory. Genetic algorithms (GAs) are applied to the multiproduct
and multiperiod inventory lotsizing problems with supplier
selection under storage space. Also a maximum storage space for the
decision maker in each period is considered. The decision maker
needs to determine what products to order in what quantities with
which suppliers in which periods. It is assumed that demand of
multiple products is known over a planning horizon. The problem is
formulated as a mixed integer programming and is solved with the
GAs. The detailed computation results are presented.
Open Science Index 74, 2013