Heuristic algorithms for production and transportation planning through synchronization of a serial supply chain

Heuristic algorithms for production and transportation planning through synchronization of a serial supply chain

0.00 Avg rating0 Votes
Article ID: iaor20101860
Volume: 124
Issue: 2
Start Page Number: 433
End Page Number: 447
Publication Date: Apr 2010
Journal: International Journal of Production Economics
Authors: ,
Keywords: production, heuristics
Abstract:

This study suggests an approach that synchronizes timing points found between a supplier and a buyer in a serial supply chain with one in two timing points to allow for more efficient and agile material flow. This approach is applied to the problem of finding an optimal solution for the production quantity in each production lot and the job sequence with minimum supply chain total cost and lead time. Five heuristic algorithms were developed based on simulated annealing (SA) and a genetic algorithm (GA). Of the developed heuristic algorithms, GA2 exhibited the most robustness.

Reviews

Required fields are marked *. Your email address will not be published.