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Scheduling jobs to improve weighted on-time performance of a single machine

Publisher
Society of Manufacturing Engineers
Year
2004
Tongue
English
Weight
115 KB
Volume
23
Category
Article
ISSN
0278-6125

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โœฆ Synopsis

2003-2004 abstract and ke cword index

specifically identify M. parafortuitum among a mixed microbial community in MWE It is also shown that the M. parafortuitum labeling methods are insensitive to the synthetic, semi-synthetic, and soluble oil MWF chemistries investigated. In addition, the use of FCM for quantification of M. parafortuitum is demonstrated, and important considerations for applying FCM in the field are described.

This paper is an original work and has not been previously published except in the Transactions of NAMRI/

๐Ÿ“œ SIMILAR VOLUMES

Maximizing the weighted number of on-tim
Maximizing the weighted number of on-time jobs in single machine scheduling with time windows
โœ C. Koulamas ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 541 KB

The problem of maximizing the weighted number of on-time jobs on a single machine with time windows (STW) is shown to be strongly NP-hard. An efficient. heuristic is presented for STW. Computational experiments indicate that the performance of the heuristic is quite good.