A heuristic scheduling procedure for multi-item hoist production lines [An article from: International Journal of Production Economics]
Book Details
Author(s)H.J. Paul, C. Bierwirth, H. Kopfer
PublisherElsevier
ISBN / ASINB000PBZRUM
ISBN-13978B000PBZRU2
AvailabilityAvailable for download now
Sales Rank99,999,999
MarketplaceUnited States 🇺🇸
Description
This digital document is a journal article from International Journal of Production Economics, published by Elsevier in 2007. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
The paper deals with the scheduling of production lines with respect to material handling requirements. A heuristic is proposed that is capable of handling problems incorporating different product types as well as flexible processing times. In the approach time windows are maintained for all necessary operations to exploit the remaining production capacities during the planning process. The heuristic is applied to an existing problem at a centre for metal parts in the aircraft industry. To validate the approach on a broader basis, the heuristic is furthermore tested with regard to the variation of processing times, flexibilities and the product mix. Comparisons with other methods demonstrate that the new heuristic works efficiently.
Description:
The paper deals with the scheduling of production lines with respect to material handling requirements. A heuristic is proposed that is capable of handling problems incorporating different product types as well as flexible processing times. In the approach time windows are maintained for all necessary operations to exploit the remaining production capacities during the planning process. The heuristic is applied to an existing problem at a centre for metal parts in the aircraft industry. To validate the approach on a broader basis, the heuristic is furthermore tested with regard to the variation of processing times, flexibilities and the product mix. Comparisons with other methods demonstrate that the new heuristic works efficiently.
