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

Jung Woo Jung and Young Hae Lee

International Journal of Production Economics, 2010, vol. 124, issue 2, 433-447

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.

Keywords: Synchronization; No-wait; approach; Supply; chain; Heuristic; algorithms (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0925-5273(09)00453-8
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:proeco:v:124:y:2010:i:2:p:433-447

Access Statistics for this article

International Journal of Production Economics is currently edited by Stefan Minner

More articles in International Journal of Production Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().